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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
Season-to-date2025 full season, Weeks 1–18Complete-to-date totals across the full season.
430 players · 5 metrics · click a column to sort
Stat leaders
430 players
Stat leaders
430 players
TeamSFGames17Opportunities440Snap share83%Target share25%Fantasy points (PPR)417Opportunity Score (proxy)0.77
TeamATLGames17Opportunities390Snap share78%Target share20%Fantasy points (PPR)371Opportunity Score (proxy)0.73
TeamINDGames17Opportunities378Snap share83%Target share11%Fantasy points (PPR)362Opportunity Score (proxy)0.61
TeamBUFGames17Opportunities349Snap share57%Target share·Fantasy points (PPR)302Opportunity Score (proxy)0.48
TeamLVGames17Opportunities339Snap share78%Target share15%Fantasy points (PPR)245Opportunity Score (proxy)0.68
TeamDETGames17Opportunities337Snap share67%Target share16%Fantasy points (PPR)367Opportunity Score (proxy)0.73
TeamPHIGames16Opportunities330Snap share78%Target share12%Fantasy points (PPR)232Opportunity Score (proxy)0.54
TeamBALGames17Opportunities328Snap share55%Target share·Fantasy points (PPR)280Opportunity Score (proxy)0.45
TeamMIAGames16Opportunities323Snap share76%Target share19%Fantasy points (PPR)323Opportunity Score (proxy)0.64
TeamCINGames17Opportunities320Snap share67%Target share14%Fantasy points (PPR)283Opportunity Score (proxy)0.60
TeamJAXGames17Opportunities312Snap share60%Target share·Fantasy points (PPR)254Opportunity Score (proxy)0.45
TeamLARGames17Opportunities309Snap share68%Target share·Fantasy points (PPR)263Opportunity Score (proxy)0.47
TeamDALGames16Opportunities303Snap share69%Target share·Fantasy points (PPR)243Opportunity Score (proxy)0.50
TeamNYJGames16Opportunities291Snap share64%Target share11%Fantasy points (PPR)208Opportunity Score (proxy)0.47
TeamCARGames17Opportunities286Snap share56%Target share11%Fantasy points (PPR)216Opportunity Score (proxy)0.48
TeamTENGames17Opportunities283Snap share63%Target share·Fantasy points (PPR)186Opportunity Score (proxy)0.51
Josh JacobsRBOUTTeamGBGames15Opportunities278Snap share59%Target share10%Fantasy points (PPR)237Opportunity Score (proxy)0.43
TeamCHIGames16Opportunities271Snap share58%Target share·Fantasy points (PPR)229Opportunity Score (proxy)0.41
TeamCLEGames14Opportunities266Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.42
TeamSEAGames17Opportunities257Snap share·Target share·Fantasy points (PPR)192Opportunity Score (proxy)0.39
TeamPITGames16Opportunities256Snap share·Target share·Fantasy points (PPR)217Opportunity Score (proxy)0.46
TeamHOUGames16Opportunities232Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.36
TeamNYGGames15Opportunities224Snap share55%Target share11%Fantasy points (PPR)·Opportunity Score (proxy)0.36
TreVeyon HendersonRBOUTTeamNEGames17Opportunities222Snap share·Target share·Fantasy points (PPR)206Opportunity Score (proxy)·
TeamCINGames16Opportunities188Snap share94%Target share32%Fantasy points (PPR)314Opportunity Score (proxy)0.68
Showing 5 of 56 metrics. Add more from the “Cuts, columns & filters” drawerMetrics rail. Universe = the union of every tracked metric’s leaderboard (top players per metric), merged into one row per player. Blank (·) = outside that metric’s leaders. Widening to the full roster needs a data-export change (tracked separately).
Trending usage: Risers
Usage momentum: the slope of snap share, target share, opportunities and red-zone touches over a trailing 4-week window, blended per position. Earliest breakout detector. Noise-guarded descriptive trajectory.
Rank by
WR · Risers
2025 · trailing 4-week window
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Gunner OlszewskiWR NYG | +2.78 | 84%from 34% | 3 wk25 snaps |
| 2 |  Tee HigginsWR CIN | +1.99 | 87%from 69% | 3 wk47 snaps |
| 3 |  A.J. BrownWR PHI | +1.69 | 89%from 83% | 3 wk53 snaps |
| 4 |  Xavier HutchinsonWR HOU | +1.51 | 79%from 52% | 4 wk34 snaps |
| 5 |  Jahan DotsonWRPHI | +1.49 | 94%from 66% | 4 wk42 snaps |
| 6 |  Elic AyomanorWR TEN | +1.42 | 94%from 78% | 4 wk49 snaps |
| 7 |  Dante PettisWR NO | +1.38 | 76%from 41% | 4 wk26 snaps |
| 8 |  Marquez Valdes-ScantlingWR PIT | +1.35 | 84%from 65% | 4 wk46 snaps |
| 9 |  Jalen RoyalsWR KC | +1.34 | 67%from 29% | 3 wk17 snaps |
| 10 |  Malik WashingtonWR MIA | +1.19 | 70%from 61% | 4 wk33 snaps |
| 11 |  Calvin Austin IIIWRPIT | +1.16 | 49%from 31% | 3 wk22 snaps |
| 12 |  Chris OlaveWRNO | +0.98 | 91%from 84% | 3 wk56 snaps |
| 13 |  Kevin Austin Jr.WRNO | +0.97 | 97%from 76% | 4 wk51 snaps |
| 14 |  Cedrick Wilson Jr.WRMIA | +0.96 | 64%from 52% | 4 wk29 snaps |
| 15 |  Parker WashingtonWR JAX | +0.86 | 74%from 64% | 4 wk42 snaps |
| 16 |  Joshua PalmerWR BUF | +0.86 | 84%from 59% | 4 wk40 snaps |
| 17 |  Hollywood BrownWRKC | +0.84 | 81%from 65% | 3 wk34 snaps |
| 18 |  Jayden HigginsWRHOU | +0.82 | 81%from 64% | 4 wk43 snaps |
| 19 |  Matthew GoldenWR GB | +0.81 | 100%from 55% | 4 wk30 snaps |
| 20 |  Cedric TillmanWR CLE | +0.80 | 77%from 49% | 4 wk27 snaps |
| 21 |  Ryan FlournoyWR DAL | +0.80 | 87%from 64% | 3 wk39 snaps |
| 22 |  Adam ThielenWRPIT | +0.77 | 67%from 64% | 4 wk44 snaps |
| 23 |  Alec PierceWR IND | +0.77 | 68%from 89% | 4 wk54 snaps |
| 24 |  Wan'Dale RobinsonWRNYG | +0.76 | 75%from 91% | 3 wk57 snaps |
WR · Risers
2025 · trailing 4-week window
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.78
- Now
- 84%from 34%
- Window
- 3 wk25 snaps
- Momentum (z/wk)
- +1.99
- Now
- 87%from 69%
- Window
- 3 wk47 snaps
- Momentum (z/wk)
- +1.69
- Now
- 89%from 83%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +1.51
- Now
- 79%from 52%
- Window
- 4 wk34 snaps
- Momentum (z/wk)
- +1.49
- Now
- 94%from 66%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +1.42
- Now
- 94%from 78%
- Window
- 4 wk49 snaps
- Momentum (z/wk)
- +1.38
- Now
- 76%from 41%
- Window
- 4 wk26 snaps
- Momentum (z/wk)
- +1.35
- Now
- 84%from 65%
- Window
- 4 wk46 snaps
- Momentum (z/wk)
- +1.34
- Now
- 67%from 29%
- Window
- 3 wk17 snaps
- Momentum (z/wk)
- +1.19
- Now
- 70%from 61%
- Window
- 4 wk33 snaps
- Momentum (z/wk)
- +1.16
- Now
- 49%from 31%
- Window
- 3 wk22 snaps
- Momentum (z/wk)
- +0.98
- Now
- 91%from 84%
- Window
- 3 wk56 snaps
- Momentum (z/wk)
- +0.97
- Now
- 97%from 76%
- Window
- 4 wk51 snaps
- Momentum (z/wk)
- +0.96
- Now
- 64%from 52%
- Window
- 4 wk29 snaps
- Momentum (z/wk)
- +0.86
- Now
- 74%from 64%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +0.86
- Now
- 84%from 59%
- Window
- 4 wk40 snaps
- Momentum (z/wk)
- +0.84
- Now
- 81%from 65%
- Window
- 3 wk34 snaps
- Momentum (z/wk)
- +0.82
- Now
- 81%from 64%
- Window
- 4 wk43 snaps
- Momentum (z/wk)
- +0.81
- Now
- 100%from 55%
- Window
- 4 wk30 snaps
- Momentum (z/wk)
- +0.80
- Now
- 77%from 49%
- Window
- 4 wk27 snaps
- Momentum (z/wk)
- +0.80
- Now
- 87%from 64%
- Window
- 3 wk39 snaps
- Momentum (z/wk)
- +0.77
- Now
- 67%from 64%
- Window
- 4 wk44 snaps
- Momentum (z/wk)
- +0.77
- Now
- 68%from 89%
- Window
- 4 wk54 snaps
- Momentum (z/wk)
- +0.76
- Now
- 75%from 91%
- Window
- 3 wk57 snaps
Boards are eligible-only. Every row already clears the noise floor (≥3 played weeks and ≥12 average snaps in the window), so a one-week spike never registers. A trend is descriptive, never a prediction.
Target Share Risers — Last 3 Weeks
Whose passing-game role expanded most — mean team target share over the last three weeks versus the prior three. A descriptive receipt, not a projection.
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
| # | Player | Baseline → Recent | Δ share pts | Gms |
|---|---|---|---|---|
| 1 |  Michael MayerTE LV | 0%23% | +23 | 3 |
| 2 | Parker WashingtonWRJAX | 11%28% | +17 | 3 |
| 3 | Wan'Dale RobinsonWRNYG | 31%47% | +17 | 2 |
| 4 |  Jaxon Smith-NjigbaWR SEA | 26%40% | +13 | 3 |
| 5 | Marquez Valdes-ScantlingWRPIT | 3%16% | +13 | 3 |
| 6 |  Brashard SmithRBKC | 0%13% | +13 | 3 |
| 7 | Chris OlaveWRNO | 25%37% | +13 | 2 |
| 8 |  Christian McCaffreyRB SF | 11%24% | +13 | 3 |
| 9 |  Justin JeffersonWR MIN | 24%36% | +12 | 3 |
| 10 | Elic AyomanorWRTEN | 10%22% | +12 | 3 |
| 11 | Kevin Austin Jr.WRNO | 5%17% | +12 | 3 |
| 12 |  Jake TongesTESF | 0%12% | +12 | 3 |
| 13 |  Colston LovelandTE CHI | 18%29% | +11 | 3 |
| 14 |  Aaron Jones Sr.RBMIN | 10%21% | +11 | 2 |
| 15 | Dante PettisWRNO | 0%11% | +11 | 3 |
| 16 |  Scotty MillerWRPIT | 0%11% | +11 | 3 |
| 17 |  Jahdae WalkerWRCHI | 0%10% | +10 | 3 |
| 18 |  Jerry JeudyWRCLE | 14%25% | +10 | 3 |
| 19 |  Omarion HamptonRB LAC | 7%17% | +10 | 2 |
| 20 |  Christian KirkWRHOU | 4%14% | +10 | 3 |
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
- Baseline → recent target share
- 0%23%
- Change in target share (points)
- +23
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 11%28%
- Change in target share (points)
- +17
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 31%47%
- Change in target share (points)
- +17
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 26%40%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 3%16%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 0%13%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 25%37%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 11%24%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 24%36%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 10%22%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 5%17%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 0%12%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 18%29%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 10%21%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 0%11%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 0%11%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 0%10%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 14%25%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 7%17%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 4%14%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
Biggest week-over-week climbers in team target share: last 3 weeks vs the prior 3. Who's seeing their passing-game role expand (WR/TE/RB). Δ is the change in mean weekly team target share (percentage points) between the two windows; positive means the role is expanding. Descriptive week-over-week delta, not a prediction.
Money downs vs all downs
Targets on 3rd & 4th down — the chain-moving snaps most apps fold into a season total. Flip to Money Downs to see who the offense trusts when it matters; the all-downs target share is the baseline they read against.
Money-down targets (3rd+4th)
Targets on 3rd+4th down — the high-leverage passing situations most apps don't split out: who the offense trusts on money downs. TARGET-based, not routes: tank01 has no routes-run data, so this is money-down target share / yards-per-target, not YPRR/TPRR (see FFM-1560).
Money-down yards per target (3rd+4th): Receiving yards per money-down (3rd+4th) target (min 10 targets): efficiency on the downs that move the chains. TARGET-based, not routes: tank01 has no routes-run data, so this is money-down target share / yards-per-target, not YPRR/TPRR (see FFM-1560).
WR · Money downs (3rd+4th)
2025 full season, Weeks 1–18
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 |  Courtland SuttonWR DEN | 563.3/gm | 30% | 9.1 |
| 2 | Wan'Dale RobinsonWRNYG | 563.5/gm | 33% | 7.1 |
| 3 |  Keenan AllenWRLAC | 523.1/gm | 32% | 7.4 |
| 4 |  Tetairoa McMillanWR CAR | 523.1/gm | 36% | 7.1 |
| 5 |  Ja'Marr ChaseWRCIN | 493.1/gm | 30% | 8.6 |
| 6 |  Puka NacuaWR LAR | 483.0/gm | 32% | 8.3 |
| 7 | Chris OlaveWRNO | 452.8/gm | 29% | 7.6 |
| 8 |  George PickensWRDAL | 432.7/gm | 24% | 10.7 |
| 9 | Jerry JeudyWRCLE | 432.7/gm | 27% | 4.9 |
| 10 |  DeVonta SmithWRPHI | 422.6/gm | 32% | 10.4 |
| 11 |  Josh DownsWRIND | 402.5/gm | 29% | 6.3 |
| 12 | Jaxon Smith-NjigbaWRSEA | 402.5/gm | 32% | 9.4 |
| 13 |  Zay FlowersWR BAL | 402.7/gm | 31% | 9.8 |
| 14 |  Stefon DiggsWR NE | 382.4/gm | 27% | 8.7 |
| 15 | Justin JeffersonWRMIN | 372.6/gm | 30% | 7.4 |
| 16 | A.J. BrownWRPHI | 372.9/gm | 28% | 9.8 |
| 17 |  Jakobi MeyersWRJAX | 362.4/gm | 25% | 6.4 |
| 18 |  Jauan JenningsWRSF | 362.4/gm | 23% | 8.1 |
| 19 |  Khalil ShakirWRBUF | 362.8/gm | 26% | 7.4 |
| 20 |  Emeka EgbukaWR TB | 352.3/gm | 24% | 6.6 |
| 21 | Elic AyomanorWRTEN | 352.3/gm | 22% | 6.5 |
| 22 |  Davante AdamsWRLAR | 352.7/gm | 23% | 5.2 |
| 23 |  CeeDee LambWRDAL | 342.8/gm | 19% | 9.2 |
| 24 |  Drake LondonWR ATL | 342.8/gm | 24% | 3.4 |
WR · Money downs (3rd+4th)
2025 full season, Weeks 1–18
- Money-down targets
- 563.3/gm
- Money-down target share
- 30%
- Money-down yards / target
- 9.1
- Money-down targets
- 563.5/gm
- Money-down target share
- 33%
- Money-down yards / target
- 7.1
- Money-down targets
- 523.1/gm
- Money-down target share
- 32%
- Money-down yards / target
- 7.4
- Money-down targets
- 523.1/gm
- Money-down target share
- 36%
- Money-down yards / target
- 7.1
- Money-down targets
- 493.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 8.6
- Money-down targets
- 483.0/gm
- Money-down target share
- 32%
- Money-down yards / target
- 8.3
- Money-down targets
- 452.8/gm
- Money-down target share
- 29%
- Money-down yards / target
- 7.6
- Money-down targets
- 432.7/gm
- Money-down target share
- 24%
- Money-down yards / target
- 10.7
- Money-down targets
- 432.7/gm
- Money-down target share
- 27%
- Money-down yards / target
- 4.9
- Money-down targets
- 422.6/gm
- Money-down target share
- 32%
- Money-down yards / target
- 10.4
- Money-down targets
- 402.5/gm
- Money-down target share
- 29%
- Money-down yards / target
- 6.3
- Money-down targets
- 402.5/gm
- Money-down target share
- 32%
- Money-down yards / target
- 9.4
- Money-down targets
- 402.7/gm
- Money-down target share
- 31%
- Money-down yards / target
- 9.8
- Money-down targets
- 382.4/gm
- Money-down target share
- 27%
- Money-down yards / target
- 8.7
- Money-down targets
- 372.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 7.4
- Money-down targets
- 372.9/gm
- Money-down target share
- 28%
- Money-down yards / target
- 9.8
- Money-down targets
- 362.4/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.4
- Money-down targets
- 362.4/gm
- Money-down target share
- 23%
- Money-down yards / target
- 8.1
- Money-down targets
- 362.8/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.4
- Money-down targets
- 352.3/gm
- Money-down target share
- 24%
- Money-down yards / target
- 6.6
- Money-down targets
- 352.3/gm
- Money-down target share
- 22%
- Money-down yards / target
- 6.5
- Money-down targets
- 352.7/gm
- Money-down target share
- 23%
- Money-down yards / target
- 5.2
- Money-down targets
- 342.8/gm
- Money-down target share
- 19%
- Money-down yards / target
- 9.2
- Money-down targets
- 342.8/gm
- Money-down target share
- 24%
- Money-down yards / target
- 3.4
Descriptive leaderboard, not a prediction. Money-down = 3rd & 4th down targets from official play-by-play. Yards / target applies a min-target floor (below it: “—”). Target share, not routes: we have no routes-run denominator, so this is not YPRR/TPRR.
WR target share
Who commands the offense’s looks. Flip on full-route participantsto keep only WRs on the field for most of the offense’s snaps — a target share earned on a partial route tree reads differently from a true every-down role.
WR · target share
2025 full season, Weeks 1–18
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaWRSEA | 37% | 77% | 17 |
| 2 |  Garrett WilsonWR NYJ | 36% | 87% | 7 |
| 3 | Ja'Marr ChaseWRCIN | 32% | 94% | 16 |
| 4 |  Amon-Ra St. BrownWR DET | 32% | 85% | 17 |
| 5 | Justin JeffersonWRMIN | 31% | 94% | 17 |
| 6 | Wan'Dale RobinsonWRNYG | 30% | 91% | 16 |
| 7 | Puka NacuaWRLAR | 30% | 68% | 16 |
| 8 | Zay FlowersWRBAL | 30% | 87% | 17 |
| 9 | Drake LondonWRATL | 30% | 91% | 12 |
| 10 | Chris OlaveWRNO | 29% | 84% | 16 |
| 11 |  Rashee RiceWRKC | 29% | 75% | 8 |
| 12 | A.J. BrownWRPHI | 29% | 91% | 15 |
| 13 |  Malik NabersWRNYG | 27% | 80% | 4 |
| 14 | Tetairoa McMillanWRCAR | 26% | 87% | 17 |
| 15 |  Deebo SamuelWR WSH | 25% | 72% | 16 |
| 16 | Davante AdamsWRLAR | 25% | 71% | 14 |
| 17 | DeVonta SmithWRPHI | 25% | 84% | 17 |
| 18 |  Tyreek HillWRMIA | 25% | 69% | 4 |
| 19 |  Nico CollinsWRHOU | 24% | 77% | 15 |
| 20 |  Mike EvansWRTB | 24% | 66% | 8 |
| 21 | CeeDee LambWRDAL | 24% | 73% | 14 |
| 22 | Emeka EgbukaWRTB | 24% | 78% | 17 |
| 23 |  Jaylen WaddleWRMIA | 24% | 78% | 16 |
| 24 |  Rome OdunzeWRCHI | 24% | 88% | 12 |
WR · target share
2025 full season, Weeks 1–18
- Target share
- 37%
- Snap share (on-field participation)
- 77%
- Games
- 17
- Target share
- 36%
- Snap share (on-field participation)
- 87%
- Games
- 7
- Target share
- 32%
- Snap share (on-field participation)
- 94%
- Games
- 16
- Target share
- 32%
- Snap share (on-field participation)
- 85%
- Games
- 17
- Target share
- 31%
- Snap share (on-field participation)
- 94%
- Games
- 17
- Target share
- 30%
- Snap share (on-field participation)
- 91%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 68%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 87%
- Games
- 17
- Target share
- 30%
- Snap share (on-field participation)
- 91%
- Games
- 12
- Target share
- 29%
- Snap share (on-field participation)
- 84%
- Games
- 16
- Target share
- 29%
- Snap share (on-field participation)
- 75%
- Games
- 8
- Target share
- 29%
- Snap share (on-field participation)
- 91%
- Games
- 15
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 4
- Target share
- 26%
- Snap share (on-field participation)
- 87%
- Games
- 17
- Target share
- 25%
- Snap share (on-field participation)
- 72%
- Games
- 16
- Target share
- 25%
- Snap share (on-field participation)
- 71%
- Games
- 14
- Target share
- 25%
- Snap share (on-field participation)
- 84%
- Games
- 17
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 4
- Target share
- 24%
- Snap share (on-field participation)
- 77%
- Games
- 15
- Target share
- 24%
- Snap share (on-field participation)
- 66%
- Games
- 8
- Target share
- 24%
- Snap share (on-field participation)
- 73%
- Games
- 14
- Target share
- 24%
- Snap share (on-field participation)
- 78%
- Games
- 17
- Target share
- 24%
- Snap share (on-field participation)
- 78%
- Games
- 16
- Target share
- 24%
- Snap share (on-field participation)
- 88%
- Games
- 12
share of team targets: passing-game role Snap share is the honest on-field participation proxy for route participation — tank01 has no routes-run denominator, so this is real snap share, never a fabricated routes rate. Descriptive leaderboard, not a prediction.
Schedule strength by position
Easiest → hardest remaining schedule per team. Projected on 2025 defense. low-confidence early-season estimate.
WR · Rest-of-season schedule
Remaining opponents from week 2 forward — the trade/streaming horizon.
100 = league avg · >100 softer
| # ▲ | Team | Schedule | SOS index | Avg opp DvP | Games |
|---|---|---|---|---|---|
| 1 | PHI | Easy | 108 | 6.41 | 16 |
| 2 | HOU | Easy | 106 | 6.30 | 16 |
| 3 | JAX | Easy | 104 | 6.23 | 16 |
| 4 | MIN | Easy | 104 | 6.19 | 16 |
| 5 | DAL | Easy | 103 | 6.16 | 16 |
| 6 | TEN | Easy | 103 | 6.16 | 16 |
| 7 | SEA | Easy | 103 | 6.14 | 16 |
| 8 | WSH | Easy | 103 | 6.14 | 16 |
| 9 | CLE | Easy | 102 | 6.11 | 16 |
| 10 | NYG | Easy | 102 | 6.09 | 16 |
| 11 |  ARI | Average | 102 | 6.09 | 16 |
| 12 | CIN | Average | 102 | 6.06 | 16 |
| 13 | GB | Average | 101 | 6.03 | 16 |
| 14 | TB | Average | 101 | 6.01 | 16 |
| 15 | BUF | Average | 100 | 5.97 | 16 |
| 16 | NO | Average | 100 | 5.97 | 16 |
| 17 | DET | Average | 100 | 5.96 | 16 |
| 18 | IND | Average | 99 | 5.90 | 16 |
| 19 | LAR | Average | 99 | 5.88 | 16 |
| 20 | SF | Average | 98 | 5.86 | 16 |
| 21 | NE | Average | 98 | 5.85 | 16 |
| 22 | ATL | Average | 98 | 5.84 | 16 |
| 23 | KC | Hard | 98 | 5.84 | 16 |
| 24 | DEN | Hard | 98 | 5.83 | 16 |
| 25 | MIA | Hard | 97 | 5.81 | 16 |
| 26 | LAC | Hard | 97 | 5.79 | 16 |
| 27 | BAL | Hard | 97 | 5.77 | 16 |
| 28 | CAR | Hard | 97 | 5.76 | 16 |
| 29 | CHI | Hard | 96 | 5.75 | 16 |
| 30 | PIT | Hard | 96 | 5.71 | 16 |
| 31 | NYJ | Hard | 95 | 5.66 | 16 |
| 32 | LV | Hard | 95 | 5.64 | 16 |
WR · Rest-of-season schedule
Remaining opponents from week 2 forward — the trade/streaming horizon.
100 = league avg · >100 softer
Easiest rank1ScheduleEasySOS index108Avg opp DvP6.41Games16
Easiest rank2ScheduleEasySOS index106Avg opp DvP6.30Games16
Easiest rank3ScheduleEasySOS index104Avg opp DvP6.23Games16
Easiest rank4ScheduleEasySOS index104Avg opp DvP6.19Games16
Easiest rank5ScheduleEasySOS index103Avg opp DvP6.16Games16
Easiest rank6ScheduleEasySOS index103Avg opp DvP6.16Games16
Easiest rank7ScheduleEasySOS index103Avg opp DvP6.14Games16
Easiest rank8ScheduleEasySOS index103Avg opp DvP6.14Games16
Easiest rank9ScheduleEasySOS index102Avg opp DvP6.11Games16
Easiest rank10ScheduleEasySOS index102Avg opp DvP6.09Games16
Easiest rank11ScheduleAverageSOS index102Avg opp DvP6.09Games16
Easiest rank12ScheduleAverageSOS index102Avg opp DvP6.06Games16
Easiest rank13ScheduleAverageSOS index101Avg opp DvP6.03Games16
Easiest rank14ScheduleAverageSOS index101Avg opp DvP6.01Games16
Easiest rank15ScheduleAverageSOS index100Avg opp DvP5.97Games16
Easiest rank16ScheduleAverageSOS index100Avg opp DvP5.97Games16
Easiest rank17ScheduleAverageSOS index100Avg opp DvP5.96Games16
Easiest rank18ScheduleAverageSOS index99Avg opp DvP5.90Games16
Easiest rank19ScheduleAverageSOS index99Avg opp DvP5.88Games16
Easiest rank20ScheduleAverageSOS index98Avg opp DvP5.86Games16
Easiest rank21ScheduleAverageSOS index98Avg opp DvP5.85Games16
Easiest rank22ScheduleAverageSOS index98Avg opp DvP5.84Games16
Easiest rank23ScheduleHardSOS index98Avg opp DvP5.84Games16
Easiest rank24ScheduleHardSOS index98Avg opp DvP5.83Games16
Easiest rank25ScheduleHardSOS index97Avg opp DvP5.81Games16
Easiest rank26ScheduleHardSOS index97Avg opp DvP5.79Games16
Easiest rank27ScheduleHardSOS index97Avg opp DvP5.77Games16
Easiest rank28ScheduleHardSOS index97Avg opp DvP5.76Games16
Easiest rank29ScheduleHardSOS index96Avg opp DvP5.75Games16
Easiest rank30ScheduleHardSOS index96Avg opp DvP5.71Games16
Easiest rank31ScheduleHardSOS index95Avg opp DvP5.66Games16
Easiest rank32ScheduleHardSOS index95Avg opp DvP5.64Games16
100 = league-average schedule for the position; >100 softer, <100 tougher. sos_index = mean(opponent dvp / league-mean dvp for the position) × 100, so it is comparable across positions.
Pick a position to see per-metric leader cards.
Leaderboards are descriptive. For accountable start/sit calls, see Calls.