Football

Average Games Missed by Position and Injury

NFL Avg Games Missed by Position & Injury

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

NFL Play Probability: Standard Week Wed Thu Fri

What type of production can I expect once a player returns from injury?

When a starter comes back from injury, how much of his normal production should you expect over his first four games? This product shows a projected path for every injured starter who hasn’t returned yet, and it refreshes weekly.For each player, the chart shows:<ul dir="ltr">
<li>A projected line across games 1 to 4 after he returns, as a percent of his own baseline (the average of his six games before the injury). 100% means fully back to normal.</li>
<li>A low–high band covering the middle half of similar past returners. About 25% came back below the low line and about 25% came back above the high line. It is a realistic range, not a guarantee.</li>
<li>A typical line for similar players, so you can see whether his projection sits above or below the usual return.</li>
</ul>The table also gives the real numbers behind the percentages. For example, Lamar Jackson’s baseline is 16.7 PPR points per game. He is projected at 87%, or about 14.6 points per game over his first four games back, with a range of 8.3 to 19.8.How to read it: if the line reaches 80% by game 4, we’d expect about 80% of his usual production over his first four games back. Early games are usually lower, because production tends to build as a player gets back up to speed.Know who you’re looking for? Pick the player. Position, team and injury are only needed to narrow down a list.Production is measured in PPR fantasy points for QB, RB, WR and TE, pressures for DL and LB, and coverage targets faced for DB. Offensive line isn’t covered, because there’s no production measure for it. Defensive linemen and linebackers show wider ranges because pressures and tackles are small counts, so one extra play moves the percentage a lot.






How it’s built: the projection comes from how similar players performed after returning from similar injuries, matched on position, injury type and games missed. The game-by-game line takes the usual build-up pattern for that group and scales it to the player’s own 4-game projection. It shows the likely shape of the return, not a separate forecast for each game.

Return Projection: What to Expect From Injured Starters When They Come Back

How does a player look in their production compared to their previous production before the injury?

When an NFL starter gets hurt, what actually happens next? Does he come back, how often does he get back to his usual role, and how often does the season run out first?Pick a position and an injury, and the chart shows how every starter absence with that injury ended, as a percent of all such absences. The five outcomes add up to 100%:<ul dir="ltr">
<li>Back to 90% of usual snaps within 5 games: he returned and was playing at least 90% of his normal snap share in at least one of his first 5 games back</li>
<li>Returned but still below 90% of usual snaps: he came back and played 5 or more games, but never got back to that level in that window</li>
<li>Hurt again within 5 games: he returned, then missed time again before 5 games</li>
<li>Season ended before 5 games: he returned too late in the season to be measured</li>
<li>Never returned this season: he stayed out for the rest of the season</li>
</ul>How to read it: the bars show the odds, not a timeline. For example, across all starters, about a third get back to normal within 5 games, about a quarter never return that season, and about 1 in 6 is hurt again soon after coming back. Injuries differ a lot: hamstring injuries have the best chance of a quick return (about 41%) but also the highest chance of a repeat (about 20%), while knee and shoulder injuries leave nearly a third of starters out for the rest of the season.Important: set both Position and Injury before running. “All Positions” and “All Injuries” give the full picture. “Back to normal” is a loose test, so it counts a player who reaches 90% of his usual snaps in even one game. It isn’t a measure of full production. Players who return after the offseason are counted under “never returned this season.”<p dir="ltr" style="--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(231, 227, 252, 0.9);">




Data: starters only, positions QB, RB, WR, TE, OL, DL, LB and DB, 2016 to 2025 (the 2026 season is left out until it’s complete). Groups with fewer than 30 absences are marked “Small Sample,” and groups with fewer than 10 are not shown. For the production side, see “What a Healthy Return Looks Like: First 4 Games Back vs. Own Baseline.”

What a Healthy Return Looks Like: First 4 Games Back vs Own Baseline

NFL Injury Report: Play Probability for Every Listed Player

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>

Identify a team's questionable injury rate who played by given year

A team's questionable tag is one of the measurable differences between teams in the NFL, some organizations consistently suit up their questionable players while others use it as a smokescreen, and knowing the difference can help you navigate uncertainty.&nbsp;<div> </div><div>Our query tool lets you pull the exact rate at which any team's questionable 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&nbsp;exist before.&nbsp;<div> </div><div>Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.&nbsp;<div> </div></div></div>

Team Questionable Rates By Year

NFL Games Missed by Position & 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. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT

NFL Games Missed by Position and Injury Distribution

Looking at the latest week for player probability to play that week

Pick a player and see the chance he plays this week, updated as the injury report develops.
This insight turns the current week’s official injury report into a single probability for each listed player. It weighs how the player has practiced so far (Full, Limited, DNP, day by day), his injury, his position, and how players in the same practice situation have actually played in past seasons. Rest days and other non-injury absences are separated from injury-driven missed practices, so a veteran rest DNP isn’t treated like a hamstring DNP.
Late-week appearances are handled too. A player who first shows up on the report Thursday or Friday still gets a probability, and it reflects that his practice picture looks different from a player who has been limited all week. Players ruled Out show 0%, and players with no game designation show 100%.
Each result includes the practice pattern behind it and a data-quality flag, so you can see when a number rests on a thin historical sample. Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT

NFL Player Play Probability- Current 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;

NFL Play Probability: Any Week Practice Pattern

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>

NFL Games Missed per Injury Episode - Best or Worst Case Range

Soft Tissue Injuries By Year- Hamstring, Groin, Calf, Quad

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>

NFL Soft Tissue Injuries by Year - Hamstring Groin Calf Quad

This chart tracks how many injury episodes a team has had in each regular season, plotted year by year against the league average. Choose a team to see how that franchise compares with the league over time. Choose League Average to see the league-wide trend, where each point is the average number of episodes per team. Choose All Injuries for the full picture, or pick a single injury, such as hamstring or concussion, to see how that one is trending.
It's built for the bigger question behind the weekly report. Are injuries actually getting more common? Is a team's run of bad luck an outlier or a pattern? Is one injury type growing faster than the rest? Years with no episodes appear as zero instead of being skipped, so the lines never skip a season.
How to use it: Set both the Team and Injury filters before you run it. If one is left 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>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, from 2016 through 2025. The current season is left out until it's complete.</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 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>Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT</div>

Injury Episodes Year over Year

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.

NFL Avg Players on Injury Report per Week: by Team

What is the percentage of players who clear concussion protocol to play within a week?

Players who return within a week from a concussion are one of the most valuable and actionable data points in the NFL — identifying who bounces back fast matters for fantast purposes, and availability often changes before the injury report reflects it.&nbsp;<div><div> </div><div>Our data isolates exactly which positions and player profiles are most likely to clear the concussion protocol within a week with each team, giving analysis a verified baseline in a landscape where everyone else is assuming the worst or guessing.&nbsp;</div><div> </div><div>Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.&nbsp;<div> </div></div></div>

Concussion Play Percentage

NFL Player Injury History – Games Missed by Season

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>

NFL Player Injury History Games Missed by Season

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;

NFL Team Health Score 0 to 100: This Week

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.

NFL Return to Play Rate: 1 Week After Injury

Average time missed for a groin strain in the NFL

Groin strains are one of the NFL's most underrated cause of missed time — quietly costing teams key contributors for weeks at a time. Our data tracks the exact average missed game time for groin strains across every NFL position, giving you a verified baseline when evaluating injury reports and making start/sit decisions.&nbsp; Methodology developed and reviewed by Dr. Kyle Trimble PT, DPT.

Average Missed Time Groin Injury

How quickly do players return to performance coming off injury?

How did a specific NFL starter look after he came back from an injury, compared with his own level before it, and compared with a typical return?Pick a player, an injury and a season. The chart shows his games after the return, one point per game, as a running average of his production and snap share against his own average from the 6 games before the injury.How to read it:<ul dir="ltr">
<li>Solid lines are the player. The dashed lines are the typical return for starters at the same position who missed a similar number of games.</li>
<li>100% means he’s back to his own usual level. 85% means he’s producing 15% less than before. Healthy players typically level off around 90 to 95%.</li>
<li>Values well above 100% usually mean his pre-injury stretch was unusually quiet, so his normal level was low.</li>
<li>The line stops where his run of games stops: the season ended, or he was hurt again.</li>
<li>Production is PPR fantasy points for QB, RB, WR and TE, pressures for DL and LB, and coverage targets faced for DB. Snap share is the share of his team’s snaps he played.</li>
</ul>Good to know:<ul dir="ltr">
<li>Snap share below his usual level can reflect the team easing him back, a teammate who took over the role, or a coaching or scheme change. The chart measures the change, not the cause.</li>
<li>The typical line covers the first 4 games back. It’s a comparison group, not a forecast.</li>
<li>Only starters are included, and only returns that happened. If a player has the same injury twice in one season, each return shows as its own season option (for example, “2024 (1st of 2, back Week 4)”).</li>
<li>Defensive production starts in 2018. The data runs from 2016 through the current season.</li>
</ul><p dir="ltr" style="--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(231, 227, 252, 0.9);">





For how all starters tend to come back, see “What a Healthy Return Looks Like: First 4 Games Back vs. Own Baseline.” For the odds a player returns at all, see “What Happens After a Starter Gets Hurt.”

Player Return Curve

NFL Injury Frequency vs Severity by Position

NFL Team vs League Injury Episodes - Cumulative by Week

Wednesday and Thursday Practice Probability Play 

NFL Play Probability: Standard Week Wed Thu

What are the potential outcomes when a player suffers an injury and potential to return to normal play?

When an NFL starter gets hurt, what actually happens next? Does he come back, how often does he get back to his usual role, and how often does the season run out first?
Pick a position and an injury, and the chart shows how every starter absence with that injury ended, as a percent of all such absences. The five outcomes add up to 100%:
<ul dir="ltr">
<li>Back to 90% of usual snaps within 5 games: he returned and was playing at least 90% of his normal snap share in at least one of his first 5 games back</li>
<li>Returned but still below 90% of usual snaps: he came back and played 5 or more games, but never got back to that level in that window</li>
<li>Hurt again within 5 games: he returned, then missed time again before 5 games</li>
<li>Season ended before 5 games: he returned too late in the season to be measured</li>
<li>Never returned this season: he stayed out for the rest of the season</li>
</ul>
How to read it: the bars show the odds, not a timeline. For example, across all starters, about a third get back to normal within 5 games, about a quarter never return that season, and about 1 in 6 is hurt again soon after coming back. Injuries differ a lot: hamstring injuries have the best chance of a quick return (about 41%) but also the highest chance of a repeat (about 20%), while knee and shoulder injuries leave nearly a third of starters out for the rest of the season.
Important: set both Position and Injury before running. “All Positions” and “All Injuries” give the full picture. “Back to normal” is a loose test, so it counts a player who reaches 90% of his usual snaps in even one game. It isn’t a measure of full production. Players who return after the offseason are counted under “never returned this season.”
Data: starters only, positions QB, RB, WR, TE, OL, DL, LB and DB, 2016 to 2025 (the 2026 season is left out until it’s complete). Groups with fewer than 30 absences are marked “Small Sample,” and groups with fewer than 10 are not shown. For the production side, see “What a Healthy Return Looks Like: First 4 Games Back vs. Own Baseline.”

What Happens After a Starter Gets Hurt: Odds of Returning to Normal

Spartera powers zero-data-movement analytics, delivering on-demand insights from verified data sources via a single API call.

Average offensive snaps per player-season for NFL quarterbacks, running backs, receivers, tight ends and fullbacks, 2012-2024.

This bar chart shows how many offensive snaps an NFL skill-position player plays in a regular season, on average, by position. It covers 7,351 player-seasons from 2012 to 2024, counting every player who recorded an offensive stat that season.Quarterbacks average 438 snaps per season, wide receivers 365, tight ends 312, running backs 223 and fullbacks 117. Backups and part-time players are included, so the averages sit well below a full-time starter's workload.

Professional Football

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