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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 10, 2025Point-in-time: aggregates Weeks 1–10 only. Uses no game after Week 10.
357 players · 5 metrics · click a column to sort
Stat leaders
357 players
Stat leaders
357 players
TeamSFGames10Opportunities270Snap share85%Target share28%Fantasy points (PPR)249Opportunity Score (proxy)0.83
TeamINDGames10Opportunities221Snap share83%Target share11%Fantasy points (PPR)274Opportunity Score (proxy)0.57
TeamMIAGames10Opportunities209Snap share80%Target share22%Fantasy points (PPR)214Opportunity Score (proxy)0.74
Josh JacobsRBOUTTeamGBGames9Opportunities196Snap share68%Target share13%Fantasy points (PPR)177Opportunity Score (proxy)0.58
TeamATLGames9Opportunities189Snap share78%Target share19%Fantasy points (PPR)180Opportunity Score (proxy)0.68
TeamBUFGames9Opportunities186Snap share60%Target share·Fantasy points (PPR)162Opportunity Score (proxy)0.48
TeamPHIGames9Opportunities180Snap share78%Target share14%Fantasy points (PPR)141Opportunity Score (proxy)0.58
TeamLARGames9Opportunities175Snap share72%Target share·Fantasy points (PPR)150Opportunity Score (proxy)0.51
TeamDALGames9Opportunities174Snap share75%Target share11%Fantasy points (PPR)156Opportunity Score (proxy)0.53
TeamLVGames9Opportunities173Snap share74%Target share11%Fantasy points (PPR)131Opportunity Score (proxy)0.60
TeamCARGames10Opportunities172Snap share·Target share·Fantasy points (PPR)147Opportunity Score (proxy)0.45
TeamNYJGames9Opportunities169Snap share62%Target share13%Fantasy points (PPR)131Opportunity Score (proxy)0.52
TeamDENGames10Opportunities167Snap share·Target share·Fantasy points (PPR)116Opportunity Score (proxy)0.41
TeamJAXGames9Opportunities166Snap share59%Target share11%Fantasy points (PPR)124Opportunity Score (proxy)0.44
Alvin KamaraRBOUTTeamNOGames10Opportunities165Snap share69%Target share12%Fantasy points (PPR)97Opportunity Score (proxy)0.50
TeamDETGames9Opportunities163Snap share61%Target share13%Fantasy points (PPR)184Opportunity Score (proxy)0.59
TeamBALGames9Opportunities161Snap share57%Target share·Fantasy points (PPR)117Opportunity Score (proxy)0.46
TeamCLEGames8Opportunities158Snap share·Target share·Fantasy points (PPR)107Opportunity Score (proxy)0.46
TeamCINGames9Opportunities153Snap share66%Target share14%Fantasy points (PPR)115Opportunity Score (proxy)0.61
TeamCHIGames8Opportunities145Snap share61%Target share12%Fantasy points (PPR)126Opportunity Score (proxy)0.43
TeamTENGames9Opportunities143Snap share71%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.53
TeamPITGames8Opportunities139Snap share58%Target share12%Fantasy points (PPR)110Opportunity Score (proxy)0.49
TeamNYGGames8Opportunities133Snap share·Target share13%Fantasy points (PPR)128Opportunity Score (proxy)·
TeamSEAGames9Opportunities132Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamCINGames9Opportunities109Snap share95%Target share33%Fantasy points (PPR)188Opportunity Score (proxy)0.77
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
As of Week 10, 2025
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Nico CollinsWR HOU | +1.98 | 89%from 73% | 3 wk55 snaps |
| 2 |  Marvin Harrison Jr.WR ARI | +1.41 | 91%from 83% | 3 wk61 snaps |
| 3 |  Ryan FlournoyWR DAL | +1.26 | 67%from 47% | 3 wk33 snaps |
| 4 |  Andrei IosivasWR CIN | +1.11 | 84%from 78% | 3 wk52 snaps |
| 5 |  Jerry JeudyWR CLE | +1.05 | 96%from 82% | 3 wk51 snaps |
| 6 |  CeeDee LambWRDAL | +1.02 | 88%from 79% | 3 wk55 snaps |
| 7 |  Mack HollinsWR NE | +0.95 | 79%from 70% | 4 wk46 snaps |
| 8 |  Jameson WilliamsWR DET | +0.90 | 87%from 88% | 3 wk59 snaps |
| 9 |  Tyler LockettWR LV | +0.85 | 57%from 38% | 3 wk22 snaps |
| 10 |  Xavier WorthyWR KC | +0.78 | 83%from 75% | 3 wk52 snaps |
| 11 |  Devaughn VeleWR NO | +0.72 | 87%from 49% | 4 wk31 snaps |
| 12 |  Jaylen WaddleWR MIA | +0.71 | 83%from 79% | 4 wk48 snaps |
| 13 |  Quentin JohnstonWR LAC | +0.64 | 82%from 73% | 4 wk53 snaps |
| 14 |  Brycen TremayneWR CAR | +0.61 | 26%from 21% | 3 wk13 snaps |
| 15 |  Chimere DikeWR TEN | +0.61 | 87%from 78% | 3 wk45 snaps |
| 16 |  KaVontae TurpinWRDAL | +0.58 | 19%from 30% | 3 wk21 snaps |
| 17 |  Kyle WilliamsWRNE | +0.57 | 56%from 36% | 4 wk23 snaps |
| 18 |  George PickensWRDAL | +0.54 | 91%from 85% | 3 wk59 snaps |
| 19 |  Jalen CokerWRCAR | +0.54 | 75%from 61% | 4 wk36 snaps |
| 20 |  Isaiah WilliamsWR NYJ | +0.52 | 43%from 28% | 3 wk17 snaps |
| 21 |  Drake LondonWR ATL | +0.50 | 98%from 98% | 3 wk60 snaps |
| 22 |  Parker WashingtonWR JAX | +0.50 | 87%from 88% | 3 wk64 snaps |
| 23 |  Darnell MooneyWRATL | +0.49 | 90%from 91% | 4 wk53 snaps |
| 24 |  Mitchell TinsleyWRCIN | +0.46 | 25%from 20% | 3 wk13 snaps |
WR · Risers
As of Week 10, 2025
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +1.98
- Now
- 89%from 73%
- Window
- 3 wk55 snaps
- Momentum (z/wk)
- +1.41
- Now
- 91%from 83%
- Window
- 3 wk61 snaps
- Momentum (z/wk)
- +1.26
- Now
- 67%from 47%
- Window
- 3 wk33 snaps
- Momentum (z/wk)
- +1.11
- Now
- 84%from 78%
- Window
- 3 wk52 snaps
- Momentum (z/wk)
- +1.05
- Now
- 96%from 82%
- Window
- 3 wk51 snaps
- Momentum (z/wk)
- +1.02
- Now
- 88%from 79%
- Window
- 3 wk55 snaps
- Momentum (z/wk)
- +0.95
- Now
- 79%from 70%
- Window
- 4 wk46 snaps
- Momentum (z/wk)
- +0.90
- Now
- 87%from 88%
- Window
- 3 wk59 snaps
- Momentum (z/wk)
- +0.85
- Now
- 57%from 38%
- Window
- 3 wk22 snaps
- Momentum (z/wk)
- +0.78
- Now
- 83%from 75%
- Window
- 3 wk52 snaps
- Momentum (z/wk)
- +0.72
- Now
- 87%from 49%
- Window
- 4 wk31 snaps
- Momentum (z/wk)
- +0.71
- Now
- 83%from 79%
- Window
- 4 wk48 snaps
- Momentum (z/wk)
- +0.64
- Now
- 82%from 73%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +0.61
- Now
- 26%from 21%
- Window
- 3 wk13 snaps
- Momentum (z/wk)
- +0.61
- Now
- 87%from 78%
- Window
- 3 wk45 snaps
- Momentum (z/wk)
- +0.58
- Now
- 19%from 30%
- Window
- 3 wk21 snaps
- Momentum (z/wk)
- +0.57
- Now
- 56%from 36%
- Window
- 4 wk23 snaps
- Momentum (z/wk)
- +0.54
- Now
- 91%from 85%
- Window
- 3 wk59 snaps
- Momentum (z/wk)
- +0.54
- Now
- 75%from 61%
- Window
- 4 wk36 snaps
- Momentum (z/wk)
- +0.52
- Now
- 43%from 28%
- Window
- 3 wk17 snaps
- Momentum (z/wk)
- +0.50
- Now
- 98%from 98%
- Window
- 3 wk60 snaps
- Momentum (z/wk)
- +0.50
- Now
- 87%from 88%
- Window
- 3 wk64 snaps
- Momentum (z/wk)
- +0.49
- Now
- 90%from 91%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +0.46
- Now
- 25%from 20%
- Window
- 3 wk13 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 MayerTELV | 0%23% | +23 | 3 |
| 2 | Parker WashingtonWRJAX | 11%28% | +17 | 3 |
| 3 |  Wan'Dale RobinsonWR NYG | 31%47% | +17 | 2 |
| 4 |  Jaxon Smith-NjigbaWR SEA | 26%40% | +13 | 3 |
| 5 |  Marquez Valdes-ScantlingWR PIT | 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 HamptonRBLAC | 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)
As of Week 10, 2025
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 383.8/gm | 37% | 7.1 |
| 2 |  Keenan AllenWRLAC | 323.2/gm | 34% | 7.7 |
| 3 |  Tetairoa McMillanWRCAR | 313.1/gm | 35% | 6.3 |
| 4 | Chris OlaveWRNO | 303.0/gm | 31% | 7.2 |
| 5 |  Courtland SuttonWR DEN | 303.0/gm | 28% | 11.3 |
| 6 | Jerry JeudyWRCLE | 293.2/gm | 29% | 5.4 |
| 7 |  Rome OdunzeWRCHI | 263.3/gm | 31% | 10.0 |
| 8 |  Ja'Marr ChaseWRCIN | 242.7/gm | 32% | 9.2 |
| 9 |  DeVonta SmithWR PHI | 243.0/gm | 36% | 10.9 |
| 10 |  Stefon DiggsWRNE | 232.3/gm | 27% | 8.2 |
| 11 | George PickensWRDAL | 232.6/gm | 24% | 11.5 |
| 12 |  Davante AdamsWR LAR | 232.6/gm | 30% | 6.4 |
| 13 |  Emeka EgbukaWR TB | 232.6/gm | 28% | 8.1 |
| 14 | Jaxon Smith-NjigbaWRSEA | 222.8/gm | 34% | 9.7 |
| 15 |  Zay FlowersWR BAL | 212.6/gm | 28% | 6.8 |
| 16 |  Brian Thomas Jr.WRJAX | 212.6/gm | 24% | 6.8 |
| 17 |  Puka NacuaWRLAR | 212.6/gm | 27% | 10.6 |
| 18 |  Jauan JenningsWRSF | 212.6/gm | 22% | 8.0 |
| 19 | Drake LondonWRATL | 212.6/gm | 27% | 3.0 |
| 20 | Justin JeffersonWRMIN | 212.6/gm | 30% | 6.5 |
| 21 |  Troy FranklinWRDEN | 202.0/gm | 19% | 4.6 |
| 22 |  Ladd McConkeyWRLAC | 202.2/gm | 22% | 6.5 |
| 23 | Jameson WilliamsWRDET | 202.5/gm | 33% | 10.7 |
| 24 |  Olamide ZaccheausWRCHI | 192.1/gm | 22% | 5.5 |
WR · Money downs (3rd+4th)
As of Week 10, 2025
- Money-down targets
- 383.8/gm
- Money-down target share
- 37%
- Money-down yards / target
- 7.1
- Money-down targets
- 323.2/gm
- Money-down target share
- 34%
- Money-down yards / target
- 7.7
- Money-down targets
- 313.1/gm
- Money-down target share
- 35%
- Money-down yards / target
- 6.3
- Money-down targets
- 303.0/gm
- Money-down target share
- 31%
- Money-down yards / target
- 7.2
- Money-down targets
- 303.0/gm
- Money-down target share
- 28%
- Money-down yards / target
- 11.3
- Money-down targets
- 293.2/gm
- Money-down target share
- 29%
- Money-down yards / target
- 5.4
- Money-down targets
- 263.3/gm
- Money-down target share
- 31%
- Money-down yards / target
- 10.0
- Money-down targets
- 242.7/gm
- Money-down target share
- 32%
- Money-down yards / target
- 9.2
- Money-down targets
- 243.0/gm
- Money-down target share
- 36%
- Money-down yards / target
- 10.9
- Money-down targets
- 232.3/gm
- Money-down target share
- 27%
- Money-down yards / target
- 8.2
- Money-down targets
- 232.6/gm
- Money-down target share
- 24%
- Money-down yards / target
- 11.5
- Money-down targets
- 232.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 6.4
- Money-down targets
- 232.6/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.1
- Money-down targets
- 222.8/gm
- Money-down target share
- 34%
- Money-down yards / target
- 9.7
- Money-down targets
- 212.6/gm
- Money-down target share
- 28%
- Money-down yards / target
- 6.8
- Money-down targets
- 212.6/gm
- Money-down target share
- 24%
- Money-down yards / target
- 6.8
- Money-down targets
- 212.6/gm
- Money-down target share
- 27%
- Money-down yards / target
- 10.6
- Money-down targets
- 212.6/gm
- Money-down target share
- 22%
- Money-down yards / target
- 8.0
- Money-down targets
- 212.6/gm
- Money-down target share
- 27%
- Money-down yards / target
- 3.0
- Money-down targets
- 212.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 6.5
- Money-down targets
- 202.0/gm
- Money-down target share
- 19%
- Money-down yards / target
- 4.6
- Money-down targets
- 202.2/gm
- Money-down target share
- 22%
- Money-down yards / target
- 6.5
- Money-down targets
- 202.5/gm
- Money-down target share
- 33%
- Money-down yards / target
- 10.7
- Money-down targets
- 192.1/gm
- Money-down target share
- 22%
- Money-down yards / target
- 5.5
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
As of Week 10, 2025
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaWRSEA | 40% | 71% | 9 |
| 2 |  Garrett WilsonWRNYJ | 36% | 87% | 7 |
| 3 | Ja'Marr ChaseWRCIN | 33% | 95% | 9 |
| 4 | Drake LondonWRATL | 33% | 92% | 8 |
| 5 |  Amon-Ra St. BrownWRDET | 32% | 87% | 9 |
| 6 | Justin JeffersonWRMIN | 31% | 96% | 9 |
| 7 | Zay FlowersWRBAL | 29% | 87% | 9 |
| 8 | Puka NacuaWRLAR | 29% | 69% | 8 |
| 9 | Chris OlaveWRNO | 29% | 84% | 10 |
| 10 | Tetairoa McMillanWRCAR | 28% | 89% | 10 |
| 11 | DeVonta SmithWRPHI | 28% | 91% | 9 |
| 12 |  Rashee RiceWRKC | 27% | 70% | 3 |
| 13 |  Malik NabersWRNYG | 27% | 80% | 4 |
| 14 | Davante AdamsWRLAR | 26% | 75% | 9 |
| 15 |  Deebo SamuelWR WSH | 26% | 74% | 9 |
| 16 | Nico CollinsWRHOU | 26% | 78% | 8 |
| 17 | Wan'Dale RobinsonWRNYG | 26% | 90% | 10 |
| 18 |  A.J. BrownWRPHI | 25% | 92% | 8 |
| 19 | Emeka EgbukaWRTB | 25% | 81% | 9 |
| 20 | CeeDee LambWRDAL | 25% | 72% | 6 |
| 21 |  Tyreek HillWRMIA | 25% | 69% | 4 |
| 22 | Rome OdunzeWRCHI | 24% | 91% | 9 |
| 23 | Stefon DiggsWRNE | 24% | 56% | 10 |
| 24 |  Mike EvansWRTB | 23% | 64% | 4 |
WR · target share
As of Week 10, 2025
- Target share
- 40%
- Snap share (on-field participation)
- 71%
- Games
- 9
- Target share
- 36%
- Snap share (on-field participation)
- 87%
- Games
- 7
- Target share
- 33%
- Snap share (on-field participation)
- 95%
- Games
- 9
- Target share
- 33%
- Snap share (on-field participation)
- 92%
- Games
- 8
- Target share
- 32%
- Snap share (on-field participation)
- 87%
- Games
- 9
- Target share
- 31%
- Snap share (on-field participation)
- 96%
- Games
- 9
- Target share
- 29%
- Snap share (on-field participation)
- 87%
- Games
- 9
- Target share
- 29%
- Snap share (on-field participation)
- 69%
- Games
- 8
- Target share
- 29%
- Snap share (on-field participation)
- 84%
- Games
- 10
- Target share
- 28%
- Snap share (on-field participation)
- 89%
- Games
- 10
- Target share
- 28%
- Snap share (on-field participation)
- 91%
- Games
- 9
- Target share
- 27%
- Snap share (on-field participation)
- 70%
- Games
- 3
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 4
- Target share
- 26%
- Snap share (on-field participation)
- 75%
- Games
- 9
- Target share
- 26%
- Snap share (on-field participation)
- 74%
- Games
- 9
- Target share
- 26%
- Snap share (on-field participation)
- 78%
- Games
- 8
- Target share
- 26%
- Snap share (on-field participation)
- 90%
- Games
- 10
- Target share
- 25%
- Snap share (on-field participation)
- 92%
- Games
- 8
- Target share
- 25%
- Snap share (on-field participation)
- 81%
- Games
- 9
- Target share
- 25%
- Snap share (on-field participation)
- 72%
- Games
- 6
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 4
- Target share
- 24%
- Snap share (on-field participation)
- 91%
- Games
- 9
- Target share
- 24%
- Snap share (on-field participation)
- 56%
- Games
- 10
- Target share
- 23%
- Snap share (on-field participation)
- 64%
- Games
- 4
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.