Football

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

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">Position — compare how hamstrings affect running backs differently than wide receivers, or how knee injuries impact linemen versus skill positions.&nbsp;Note: If you get a message "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. If you get this, then run the query by team and remove position.</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>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Year — track how average missed time has shifted season by season and identify emerging injury trends across the league</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. Note: 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. If you get this, then run the query by team and remove 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;

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

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

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

Once a player returns from an injury, how likely is it to come back later that same season? This insight calculates the true recurrence rate for any injury type, built from 10 years of verified practice participation data across all 32 teams — measuring genuine repeat episodes, not just how many weeks a single injury lingered on the report.
Not all injuries carry the same re-injury risk. Some resolve cleanly and stay gone; others are notorious for flaring back up once a player returns to game action. This tool separates the two with hard historical data instead of guesswork, so you know which injuries are a real red flag for a second absence before you build around a player who's coming back from one. <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;

League-Wide Injury Recurrence Rate

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

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.

Monday Practice Participation Probability

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

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

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

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.

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

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 Play

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

Counts the occurrences of different play types (e.g., pass, rush) to understand offensive tendencies.

Total Plays by Play Type

Measures the average EPA for plays that result in a touchdown, broken down by play type (run, pass), to assess the efficiency of scoring plays.

Average EPA for Plays Resulting in a Touchdown by Play Type

Counts the total number of drafted players originating from each college, highlighting top feeder schools for the NFL.

Total Drafted Players by College

Calculate the average number of defensive touchdowns by a team's defense per game.

Average Defensive Touchdowns by Team Defense Per Game

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

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

Determines the average percentage of a contract's total value that is guaranteed across all contracts, indicating risk for teams.

Average Guaranteed Percentage of Contract Value

Calculates the average draft round for players who have made at least one Pro Bowl, assessing the draft position of elite talent.

Professional Football

Available Data Products