Most injury tags never cost a game. This chart looks only at the episodes that did, and shows how long they kept players out. Each box covers the middle half of those episodes. The line inside the box is the median, and the whiskers stretch out toward the longest absences. A wide box or a long whisker means that injury is unpredictable. A narrow box means it's usually the same length each time.
Choose a position and leave Injury blank to compare every injury for that position side by side. Choose both a position and an injury to see just one box. For wide receivers, hamstring episodes that cost time usually cost 1 to 2 games, but the worst ran to 6. That kind of tail is what an average hides, and it's the number to have in mind before you drop a player or stash him.
It's built for the question after the first one. Once you know an injury is likely to cost time, how bad can it get?
How to use it: Set the Position filter. Leave Injury blank to compare injuries, or set it to see a single injury. If Position is left blank, the position totals and the individual positions are mixed together.
How it's built:
<ul dir="ltr">
<li>An episode is one continuous stretch of an injury on the report. A gap of two or more weeks starts a new episode.</li>
<li>Only episodes that cost at least one game are included. A missed game means the player's final status was Out, Questionable-Out, or Doubtful-Out.</li>
<li>Because every episode here cost at least one game, the minimum is always 1. Games missed come in whole numbers, so boxes are often narrow.</li>
<li>Only a position and injury with at least 10 qualifying episodes are shown, so every box rests on a meaningful sample.</li>
<li>Data covers the regular seasons from 2016 through the most recent week loaded.</li>
<li>Non-injury designations (rest, illness, personal matter, and similar) are excluded. Left and right are combined, so Left Hamstring and Right Hamstring both count as Hamstring. Entries that list more than one injury, such as "Ankle, Knee", are left out.</li>
<li>Averages and ranges are a general guide, not a prediction for any individual player.</li></ul><div><span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">&nbsp;</div>

Games Missed per Injury Episode - Box Plot

Games_Missed

Position

Injury

Player

Year

Banged Up Bills

Soft tissue injuries are the ones that linger and come back, and they drive a lot of the week-to-week decisions in fantasy, DFS and betting. This chart tracks four of the most common lower-body ones, hamstring, groin, calf and quadriceps, as four lines across every season from 2016 through 2025.
Choose a team to see how many episodes of each injury that franchise had in each year. Choose League Average to see the league-wide trend, where each point is the average number of episodes per team. Putting the two side by side shows whether a team is running hot or cold on hamstrings, whether calf injuries are climbing league-wide, or which injury is quietly growing fastest.
The vertical axis is the number of injury episodes in a season. Seasons with none show as zero, so lines never skip a year.
How to use it: Set one value in the Team filter before you run it. If it's left blank, the lines mix every team together.
How it's built:
<ul dir="ltr">
<li>An episode is one continuous stretch of an injury on a team's report. A gap of two or more weeks starts a new episode.</li>
<li>An episode is an injury designation on the report. It doesn't mean the player missed a game.</li>
<li>Counts cover the regular season only, 2016 through 2025. The current season is left out until it's complete.</li>
<li>Left and right are combined, so Left Calf and Right Calf both count as Calf.</li>
<li>Entries that list more than one injury, such as "Hamstring, Calf", are not counted in any of the four lines.</li>
<li>The league average is the league-wide total divided by 32 teams.</li>
<li>The 2021 season added an 18th week, so part of the rise in totals from 2020 to 2021 reflects a longer season.</li></ul><div><span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">&nbsp;</div>

Soft Tissue Injuries by Year - Team or League

Hamstring

Groin

Calf

Quadriceps

Team

This chart turns the weekly injury report into a number for each player. Choose a team and you get every player on its report with their chance to play that week. It's built for the decisions that come up before kickoff: whether to start a Questionable player, which late-week practice pattern is a real warning, and who is almost certainly fine.
The probability follows a few simple rules:
<ul dir="ltr">
<li>Ruled Out: 0%.</li>
<li>No game designation on the final report: 100%. A player who practiced in some form but carries no Questionable or Doubtful tag is expected to play.</li>
<li>Questionable, Doubtful, or the report is still in progress: the chance comes from history. It's the share of players with the same practice pattern (for example Limited, Limited, Limited) who went on to play. The pattern is matched to the team first. If the team's own history is too thin and the week's report is final, the league-wide history for that pattern is used.</li>
<li>Vet Rest: a Did Not Participate day for veteran rest is treated as a rest day, not an injury absence.</li>
</ul>
The chart updates as the week goes on. Early in the week, with only Wednesday reported, the number is based on Wednesday's practice alone. By Friday, it uses the full week. Short weeks, such as a Thursday game, use Monday, Tuesday and Wednesday.
How to use it: Set the Team filter before you run it. Players are listed along the horizontal axis and the vertical axis is the chance to play, from 0 to 100.
Reading the chart:
<ul dir="ltr">
<li>A player with no bar either has a true 0% (ruled Out or a pattern that has never resulted in playing) or doesn't have enough history yet.</li>
<li>The sample size and a data-quality flag are in the underlying data. Treat numbers built on small samples as rough.</li>
<li>This is a general guide based on historical patterns, not a prediction for any individual player. Final inactive lists come out 90 minutes before kickoff.</li></ul><div><span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">&nbsp;</div>

Weekly Player Play Probability

Play_Probability

Total_Instances

Data_Quality_Flag

Practice_Pattern

Week

This chart shows one player's injury history as two lines across seasons. One line is the number of games he missed. The other is the number of injury episodes that appeared on his team's report. Together they separate a player who is merely listed often from one who actually misses time.
Choose a player from the filter to see his seasons side by side. A player with 3 or 4 report entries a year but almost no missed games is a very different bet from one whose smaller number of episodes each cost him weeks. Seasons in which he was healthy appear as zero, so the line doesn't skip a year.
It's built for the question that comes up before a draft, a trade, or a prop bet: is this player actually injury-prone, or does he just show up on the report?
How to use it: Set the Player filter before you run it. If it's left blank, every player's seasons are mixed together.
How it's built:
<ul dir="ltr">
<li>An episode is one continuous stretch of an injury on the report. A gap of two or more weeks starts a new episode.</li>
<li>An episode is an injury designation on the report. It doesn't mean the player missed a game.</li>
<li>A missed game is a week in which the player's final status was Out, Questionable-Out, or Doubtful-Out. A week counts once, even if he had more than one injury listed.</li>
<li>Counts cover the regular season from 2016 through the most recent week loaded. The current season is partial and will be lower than a full year.</li>
<li>Years between a player's first and last appearance on the report with no entries show as zero. That means he wasn't on the injury report. It does not necessarily mean he played every game, since he may not have been on a roster.</li>
<li>Non-injury designations (rest, illness, personal matter, and similar) are excluded. Left and right are combined, so Left Ankle and Right Ankle both count as Ankle.</li>
<li>Players are matched by name, so two players who share a name may be combined into one line.</li></ul><div> </div><div><span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">&nbsp;</div>

Player Injury History

Injury_Episodes

Injuries

This chart puts every injury for a position on one picture. Each dot is one injury. Dots further right happen more often, and dots higher up cost more games per episode on average. That separates the injuries that are everywhere but rarely matter from the ones that hit less often but usually keep a player out.
Choose a position to see its profile, or choose All Positions for the league-wide view. For wide receivers, for example, hamstring and concussion sit high and well to the right. Both are common and costly, while injuries like hip, back and wrist sit near the bottom and rarely cost a game.
It's built for the question behind every injury tag. Is this one worth worrying about? Check where the injury sits for that player's position before you set a lineup, a DFS stack, or a bet.
How to use it: Set the Position filter before you run it. If it's left blank, the dots from every position are mixed together.
How it's built:
<ul dir="ltr">
<li>An episode is one continuous stretch of an injury on the report. A gap of two or more weeks starts a new episode.</li>
<li>Average games missed is per episode and includes episodes that never cost a game, which is why most injuries land below one game.</li>
<li>A missed game means the player's final status was Out, Questionable-Out, or Doubtful-Out.</li>
<li>Only injuries with at least 10 episodes for that position are plotted, so every dot rests on a meaningful sample.</li>
<li>Non-injury designations (rest, illness, personal matter, and similar) are excluded. Left and right are combined, so Left Ankle and Right Ankle both count as Ankle. Entries that list more than one injury, such as "Ankle, Knee", are left out.</li>
<li>Averages are a general guide, not a prediction for any individual player.</li></ul>

Injury Frequency vs Severity by Position

Avg_Games_Missed

Episode_Count

Pct_Zero_Game_Episodes

This chart tracks how many injury episodes a team has piled up through each week of a season, next to the league average for the same injury. One line is the team's running total. The other is the league average, which is the league-wide total divided by 32. When the team line sits above the league line, that team has had more of that injury than a typical team so far. Below it, fewer.
It's built for in-season reads. Is a team's ankle run just bad luck, or a real outlier? Is a rash of hamstring tags something to worry about, or normal for this point in the season? You can check that at any week, for any season in the data.
How to use it: Set the Team, Injury, and Year filters before you run it. If one is blank, the lines mix several combinations together.
How it's built:
<ul dir="ltr">
<li>An episode is one continuous stretch of an injury on a team's report. A gap of two or more weeks starts a new episode.</li>
<li>Counts are cumulative. Each week's value is the total episodes from the start of the injury's first appearance that season through that week.</li>
<li>An episode is an injury designation on the report. It doesn't mean the player missed a game.</li>
<li>Non-injury designations (rest, illness, personal matter, and similar) are excluded. Left and right are combined, so Left Ankle and Right Ankle both count as Ankle. Multi-injury entries such as "Ankle, Knee" are their own separate categories.</li>
<li>The league average is only meaningful once enough episodes exist. The flag reads "Sufficient Data" once the league total for that injury and week reaches 32.</li></ul><div> </div><div><span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">&nbsp;</div>

Team vs League Injury Episodes - Cumulative by Week

Episodes_Vs_League_Avg

Pct_Vs_League_Avg

Through_Week

Team_Injury_Episodes

League_Avg_Episodes

Games Missed By Position and Injury Distribution 

This chart shows how NFL injuries actually play out. For any position and injury combination, it plots the share of injury episodes that cost 0, 1, 2, 3, or 4+ games. The vertical axis is the percentage of episodes, so the points add up to 100%. 
Most injury tags never cost a game, and the ones that do rarely cost many. This chart puts numbers on that, so you can size up a Questionable tag or a new injury designation so you can have a better idea of how an injury affects that particular player. 
How to use it: Set both the Position and Injury filters before you run it. If you leave one blank, the result mixes several combinations together.

Games Missed By Position and Injury Distribution

Pct_Of_Episodes

Total_Episodes

What is the probablity that a player plays based on a standard week of participation?

Wed-Thu-Fri Practice Participation Probability

Play_Percentage

Wednesday_Injury_Status

Thursday_Injury_Status

Friday_Injury_Status

Wednesday and Thursday Practice Probability Play 

Wed-Thu Practice Participation Probability

Wednesday Practice Participation Probability

Average Games Missed by Position and Injury

Positional Injuries Games Missed Average

Normalized_Injury

Player_Seasons

Looks at what the chances of a player playing on a short week

See how a player's participation during an NFL short week (a Monday/Tuesday/Wednesday practice schedule, typically ahead of a Thursday game) translates into their actual likelihood of playing that week. This insight is built from isolating short-week practice patterns specifically — the compressed prep window that changes how injury designations play out compared to a standard week. Non-injury absences (rest days, illness, personal matters, suspensions) are filtered out, so every result reflects genuine injury-driven practice participation, not administrative noise. Select a team and their practice designation's that week (Full, Limited, or DNP) to get the real-world play rate teams have shown from that starting point. Results flagged "Insufficient Data" indicate a sample too small to trust — shown transparently rather than hidden, so you always know what you're working with. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.&nbsp;<div> </div>

Mon-Tues-Wed Practice Participation Probability

Monday_Injury_Status

Tuesday_Injury_Status

Monday & Tuesday Practice Play Probability based on participation

See how a player's Monday and Tuesday practice status during an NFL short week (a Monday/Tuesday/Wednesday practice schedule, typically ahead of a Thursday game) translates into their actual likelihood of playing that week. This insight is built from isolating short-week practice patterns specifically — the compressed prep window that changes how injury designations play out compared to a standard week. Non-injury absences (rest days, illness, personal matters, suspensions) are filtered out, so every result reflects genuine injury-driven practice participation, not administrative noise. Select a team and a Monday/Tuesday practice designation (Full, Limited, or DNP) to get the real-world play rate teams have shown from that starting point. Results flagged "Insufficient Data" indicate a sample too small to trust — shown transparently rather than hidden, so you always know what you're working with. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.&nbsp;<div> </div>

Monday-Tuesday Practice Play Probability

Determining the chances a player suits up on Monday, the beginning of a short week

See how a player's Monday practice status during an NFL short week (a Monday/Tuesday/Wednesday practice schedule, typically ahead of a Thursday game) translates into their actual likelihood of playing that week.
This insight is built from isolating short-week practice patterns specifically — the compressed prep window that changes how injury designations play out compared to a standard week. Non-injury absences (rest days, illness, personal matters, suspensions) are filtered out, so every result reflects genuine injury-driven practice participation, not administrative noise.
Select a team and a Monday practice designation (Full, Limited, or DNP) to get the real-world play rate teams have shown from that starting point. Results flagged "Insufficient Data" indicate a sample too small to trust — shown transparently rather than hidden, so you always know what you're working with. <span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-variant: normal; white-space: pre-wrap; background-color: transparent; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); vertical-align: baseline;">&nbsp;

Monday Practice Participation Probability

A single, easy-to-read number (0–100) that captures how banged-up an NFL team's roster that particular week before the inactives came out. Built from that week's official injury report, the score weights each player's designation (Out, Doubtful, Questionable) by the relative importance of their position — a starting QB or CB listed as Out drags the score down far more than a long snapper — so the number reflects true roster impact, not just a raw count of names on the report. A score near 100 means a clean bill of health. Scores dropping into the 40s, 30s, or lower flag a team dealing with significant, high-value injuries that could affect performance that week. Developed with a physical therapist's lens on positional value and injury severity, this score gives analysts and researchers a fast way to gauge a team's true health status beyond the surface-level injury report — without having to parse individual designations position by position. <span style="font-size: 12pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); font-variant-ligatures: normal; font-variant-alternates: normal; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); font-variant-ligatures: normal; font-variant-alternates: normal; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;">&nbsp;

Weekly Health Score

Season

Sunday_Injury_Status

Saturday_Injury_Status

Game_Status

What is the percentage at which a doubtful player plays?

A team's doubtful tag is one of the measurable differences between teams in the NFL, some organizations never play a doubtful player while others use the designation as a smokescreen but the player actually suits up, and knowing the difference can help you navigate uncertainty.&nbsp;<div style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; color: rgba(47, 43, 61, 0.9);"><br style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;"></div><div style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; color: rgba(47, 43, 61, 0.9);">Our query tool lets you pull the exact rate at which any team's doubtful players actually take the field, giving you a data-backed read on how much to trust a team's injury designations week after week. Look at the breakdown by team, year, and even position which gives you answers that simply didn’t<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; text-size-adjust: 100%;"> exist before.&nbsp;<div style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;"><br style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;"></div><div style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;"><span id="docs-internal-guid-a4f202f3-7fff-6c50-2228-ff462879ef50" style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;"><p dir="ltr" style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; margin: 0pt 0px; line-height: 1.38;"><span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 12pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-variant: normal; vertical-align: baseline; white-space: pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="--tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246/0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ; font-size: 11pt; font-family: Arial, sans-serif; color: rgb(0, 0, 0); background-color: transparent; font-variant: normal; vertical-align: baseline; white-space: pre-wrap;">&nbsp;</div></div>

Team Doubtful Rates By Year

Sample_Size

A single, easy-to-read number (0–100) that captures how banged-up an NFL team's roster was historically in any given week since 2016. Built from that week's official injury report, the score weights each player's designation (Out, Doubtful, Questionable) by the relative importance of their position — a starting QB or CB listed as Out drags the score down far more than a long snapper — so the number reflects true roster impact, not just a raw count of names on the report. 
A score near 100 means a clean bill of health. Scores dropping into the 40s, 30s, or lower flag a team dealing with significant, high-value injuries that could affect performance that week. Developed with a physical therapist's lens on positional value and injury severity, this score gives analysts and researchers a fast way to gauge a team's true health status beyond the surface-level injury report — without having to parse individual designations position by position. <span style="font-size:12pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">&nbsp;

Historical Weekly Health Score

Average Weekly Injury Report Volume by Team

How many players does a team typically have on the injury report during any given week of the season? This insight calculates the average injury report size for a specific team in a specific week, built from 10 years of verified practice participation data across every team in the league. 
Injury volume isn't random — it tends to build as the season wears on, and some teams consistently carry heavier injury reports than others. Select a team and a week to see the real historical average, not a guess. Whether you're gauging a team's depth-chart risk heading into a specific week, sizing up an opponent's health before a matchup, or just tracking how injury-prone a roster has been over time, this gives you the number behind the trend. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.

Return-to-Play Rate — Three Week Window

When a player lands on the injury report, how likely are they to be back on the field within three weeks? You know the player has a significant injury but isn't likely to go on injured reserve. They're expected to miss time or have given a timeframe, but how often do they beat that timeline? This insight tracks players from the moment they first appear on the injury report with a Questionable, Doubtful, or Out designation, then calculates the percentage who returned to play by week one, two, or three following that initial designation — giving you a fuller recovery window instead of just a single-week snapshot. Some injuries clear up fast; others stretch closer to a month even when a player isn't headed for IR. This tool separates the two with real historical data, built from 10 years of verified practice participation across all 32 teams, so you can gauge whether a player's absence is likely a short blip or something that runs deeper into the season. Whether you're planning a multi-week lineup outlook, evaluating an IR stash timeline, or projecting a multi-week absence, know the real data before you commit. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.

Return-to-Play Rate After 3 Weeks

When a player lands on the injury report, how likely are they to be back on the field within two weeks? Reports come out all the time that a player is week-to-week or that they will be out the next week. But what are the chances they return the following week? This insight tracks players from the moment they first appear on the injury report with a Questionable, Doubtful, or Out designation, then calculates the percentage who returned to play within two weeks — giving you a realistic two-week recovery window instead of just a single-week snapshot without assurance that they'll return the following week. This tool separates the two with real historical data, built from 10 years of verified practice participation across all 32 teams because teams manage injuries differently. Whether you're debating a trade or trying to buy low on a multi-week absence based on reports, know the real data before you commit. <div>Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.&nbsp;<div> </div></div>

Return-to-Play Rate After 2 Weeks

How often does a player actually suit up the week after first appearing on the injury report? This insight tracks every documented injury occurrence across 10 years of practice participation data and calculates the exact percentage of players who returned to play the very next week — no vague "questionable" guesswork, just the historical track record. Knowing who may play based on specific injury, position, and for particular team really allows you to look into the future, allowing you to make moves before the injury report comes out. 
Injury timelines vary widely, and a single week of DNP or Limited status doesn't always tell you what happens next. This tool cuts through that ambiguity with one verified number: the real return rate, built from official practice participation records spanning all 32 teams. Whether you're setting lineups, evaluating IR stashes, or projecting a multi-week absence, know the data before you commit. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.

Return-to-Play Rate After 1 Week

Go beyond the standard Wednesday-Thursday-Friday injury report and see the complete picture. This tool tracks practice participation over 10 years of injury data to give you the likelihood of a player playing based on whether they are a full participant, limited, or didn't participate. How teams manage participation over the years during the practice week varies greatly across the league and knowing what patterns lead to a player playing can help you stay ahead of the curve.&nbsp; 
When performing your query, practice day 3 is the first practice day of the week, followed by practice day 2, followed by practice day 1. Each query runs off of a full three practice day set rather than basing probability off of one day of practice.&nbsp; <span style="font-size:12pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">&nbsp;

Practice Pattern Probability

Practice_Day_3

Practice_Day_2

Practice_Day_1

Track exactly how many times a specific injury has hit a specific team, broken out year by year — built from 10 years of practice participation data so you can spot whether a hamstring problem is a one-off or a pattern. Filter by team and injury type to see the trend line: is this injury climbing, fading, or holding steady across seasons? Perfect for spotting a team's recurring weak spot before it shows up on next season's injury report.
 <span style="font-size:12pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">&nbsp;

Total Injury Instances by Team

Every injury carries a cost. This data product quantifies exactly what that cost is — the average number of games a player misses for any given injury type, broken down by position, and specific to each team, giving you a precise, data-driven baseline for evaluating roster risk, trade value, and lineup decisions before the rest of the market has caught up. 
Built from a comprehensive NFL injury dataset spanning&nbsp; across all 32 teams over 11 years, this product calculates average games missed at the player-season level across every injury type in the dataset — from hamstrings and knees to concussions and shoulders. Knowing the historical average gives you a baseline that raw injury rotors simply can’t provide.&nbsp;
Search and filter by:
<ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3">
<li class="font-claude-response-body whitespace-normal break-words pl-2">Injury Type — look up any injury and instantly see how many games it costs a player on average across the entire NFL if they have a designation of Questionable-Out, Doubtful-Out, or Out.</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Team — analyze franchise-level injury trends and see which organizations consistently lose more player-games to specific injury types</li>
</ul>
Don't just know a player is hurt. Know what it means. This product turns raw injury data into a number you can act on — giving you the historical context to make smarter decisions from the moment the injury report drops to the final injury designation on Sunday. If you get a message&nbsp;"No data found matching your criteria. Try adjusting your filters. You will not be charged." This likely means that the team did not have a statistically significant amount of players at that position with that injury.&nbsp; <span style="font-size:12pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">&nbsp;

Team Games Missed Average

Unlock one of the most actionable metrics in NFL injury analytics — the average number of weeks a player spends on the injury report for any given injury type. When a player is on the injury report, it means their availability may be in question or that they are receiving treatment. This also means that the injury is still affecting their participation and in turn, affecting their performance. Just because they have no designation doesn't mean they are 100 percent healthy. Understanding how long a player spends on the injury report also helps you cut through the noise when the injury report grows long late into the season.&nbsp;Whether you're managing a lineup, planning around an absence, or building a fantasy roster, knowing how long an injury can linger gives you an earlier read than the injury report alone. 
This data product pulls directly from a comprehensive NFL injury report dataset spanning 10 years, covering all 32 teams, and every position group. Search and filter by:
<ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3">
<li class="font-claude-response-body whitespace-normal break-words pl-2">Player — look up any individual player's injury report history and average time missed</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Game Status — filter by Out, Questionable, Doubtful, or IR designations to understand severity</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Position — compare how long quarterbacks, running backs, wide receivers, and other position groups typically miss</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Team — analyze how specific franchises manage injured players and roster availability</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Year — track trends over time and see how injury report durations have shifted season by season</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Injury Type — drill into specific injuries like hamstring, knee, ankle, concussion, and more</li>
</ul>
From a DNP on Wednesday to a game-time decision on Sunday, this metric tells you exactly how long that window typically lasts — giving you the data to make smarter, faster decisions when it matters most. <span style="font-size:12pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">&nbsp;

Time Spent on Injury Report

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Games Missed per Injury Episode - Box Plot

Soft Tissue Injuries by Year - Team or League

Weekly Player Play Probability

Player Injury History

Injury Frequency vs Severity by Position

Team vs League Injury Episodes - Cumulative by Week

Games Missed By Position and Injury Distribution

Wed-Thu-Fri Practice Participation Probability

Wed-Thu Practice Participation Probability

Wednesday Practice Participation Probability

Positional Injuries Games Missed Average

Mon-Tues-Wed Practice Participation Probability

Monday-Tuesday Practice Play Probability

Monday Practice Participation Probability

Weekly Health Score

Team Doubtful Rates By Year

Historical Weekly Health Score

Average Weekly Injury Report Volume by Team

Return-to-Play Rate After 3 Weeks

Return-to-Play Rate After 2 Weeks

Return-to-Play Rate After 1 Week

Practice Pattern Probability

Total Injury Instances by Team

Team Games Missed Average

Time Spent on Injury Report

Data at a glance

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