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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 9, 2025Point-in-time: aggregates Weeks 1–9 only. Uses no game after Week 9.
351 players · 5 metrics · click a column to sort
Stat leaders
351 players
Stat leaders
351 players
TeamSFGames9Opportunities248Snap share85%Target share28%Fantasy points (PPR)231Opportunity Score (proxy)0.83
TeamINDGames9Opportunities186Snap share82%Target share11%Fantasy points (PPR)224Opportunity Score (proxy)0.56
TeamMIAGames9Opportunities181Snap share79%Target share22%Fantasy points (PPR)173Opportunity Score (proxy)0.73
TeamDALGames9Opportunities174Snap share75%Target share11%Fantasy points (PPR)156Opportunity Score (proxy)0.53
TeamATLGames8Opportunities170Snap share77%Target share20%Fantasy points (PPR)169Opportunity Score (proxy)0.70
Josh JacobsRBOUTTeamGBGames8Opportunities169Snap share68%Target share12%Fantasy points (PPR)157Opportunity Score (proxy)0.56
TeamBUFGames8Opportunities168Snap share61%Target share·Fantasy points (PPR)152Opportunity Score (proxy)0.47
TeamLARGames8Opportunities158Snap share74%Target share·Fantasy points (PPR)127Opportunity Score (proxy)0.52
TeamPHIGames8Opportunities155Snap share79%Target share14%Fantasy points (PPR)128Opportunity Score (proxy)0.57
TeamCINGames9Opportunities153Snap share66%Target share14%Fantasy points (PPR)115Opportunity Score (proxy)0.61
TeamCARGames9Opportunities151Snap share·Target share·Fantasy points (PPR)132Opportunity Score (proxy)0.44
TeamLVGames8Opportunities149Snap share72%Target share10%Fantasy points (PPR)116Opportunity Score (proxy)0.58
TeamDENGames9Opportunities148Snap share·Target share·Fantasy points (PPR)107Opportunity Score (proxy)·
TeamNYJGames8Opportunities147Snap share61%Target share13%Fantasy points (PPR)111Opportunity Score (proxy)0.51
TeamJAXGames8Opportunities146Snap share59%Target share10%Fantasy points (PPR)108Opportunity Score (proxy)0.42
TeamDETGames8Opportunities144Snap share62%Target share13%Fantasy points (PPR)146Opportunity Score (proxy)0.60
TeamTENGames9Opportunities143Snap share71%Target share·Fantasy points (PPR)89Opportunity Score (proxy)0.53
Alvin KamaraRBOUTTeamNOGames9Opportunities140Snap share69%Target share13%Fantasy points (PPR)·Opportunity Score (proxy)0.48
TeamBALGames8Opportunities138Snap share55%Target share·Fantasy points (PPR)106Opportunity Score (proxy)0.46
TeamNYGGames8Opportunities133Snap share·Target share13%Fantasy points (PPR)128Opportunity Score (proxy)0.42
TeamCLEGames7Opportunities133Snap share·Target share·Fantasy points (PPR)97Opportunity Score (proxy)0.45
TeamCHIGames7Opportunities124Snap share61%Target share11%Fantasy points (PPR)112Opportunity Score (proxy)0.40
TeamPITGames7Opportunities123Snap share60%Target share12%Fantasy points (PPR)99Opportunity Score (proxy)0.48
TeamSEAGames8Opportunities117Snap 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 9, 2025
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Emeka EgbukaWR TB | +1.84 | 88%from 72% | 3 wk44 snaps |
| 2 |  Marvin Harrison Jr.WR ARI | +1.82 | 72%from 60% | 3 wk43 snaps |
| 3 |  Tyler JohnsonWR NYJ | +1.51 | 78%from 41% | 3 wk27 snaps |
| 4 |  Parker WashingtonWR JAX | +1.37 | 88%from 70% | 3 wk54 snaps |
| 5 |  DeVonta SmithWR PHI | +1.19 | 90%from 91% | 3 wk51 snaps |
| 6 |  CeeDee LambWR DAL | +0.97 | 88%from 79% | 3 wk55 snaps |
| 7 |  Jauan JenningsWR SF | +0.90 | 79%from 82% | 4 wk51 snaps |
| 8 |  Tory HortonWR SEA | +0.86 | 73%from 52% | 3 wk30 snaps |
| 9 |  Chimere DikeWR TEN | +0.79 | 87%from 72% | 4 wk42 snaps |
| 10 |  Dyami BrownWRJAX | +0.75 | 60%from 51% | 3 wk40 snaps |
| 11 |  Rashid ShaheedWR NO | +0.75 | 83%from 75% | 4 wk42 snaps |
| 12 |  Michael Pittman Jr.WR IND | +0.72 | 88%from 85% | 4 wk53 snaps |
| 13 |  Troy FranklinWR DEN | +0.69 | 79%from 66% | 4 wk44 snaps |
| 14 |  Rashod BatemanWR BAL | +0.68 | 71%from 69% | 3 wk44 snaps |
| 15 |  Drake LondonWR ATL | +0.68 | 98%from 98% | 3 wk62 snaps |
| 16 |  Alec PierceWRIND | +0.66 | 91%from 85% | 4 wk54 snaps |
| 17 |  Tez JohnsonWRTB | +0.64 | 71%from 70% | 3 wk42 snaps |
| 18 |  KaVontae TurpinWRDAL | +0.56 | 19%from 30% | 3 wk21 snaps |
| 19 |  David Sills VWRATL | +0.55 | 68%from 62% | 4 wk36 snaps |
| 20 |  Jaylin LaneWR WSH | +0.50 | 63%from 54% | 4 wk34 snaps |
| 21 |  Khalil ShakirWR BUF | +0.49 | 61%from 56% | 3 wk35 snaps |
| 22 |  Deebo SamuelWRWSH | +0.40 | 68%from 71% | 3 wk43 snaps |
| 23 |  Nick Westbrook-IkhineWR MIA | +0.39 | 67%from 68% | 4 wk42 snaps |
| 24 |  Elic AyomanorWRTEN | +0.38 | 64%from 87% | 4 wk51 snaps |
WR · Risers
As of Week 9, 2025
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +1.84
- Now
- 88%from 72%
- Window
- 3 wk44 snaps
- Momentum (z/wk)
- +1.82
- Now
- 72%from 60%
- Window
- 3 wk43 snaps
- Momentum (z/wk)
- +1.51
- Now
- 78%from 41%
- Window
- 3 wk27 snaps
- Momentum (z/wk)
- +1.37
- Now
- 88%from 70%
- Window
- 3 wk54 snaps
- Momentum (z/wk)
- +1.19
- Now
- 90%from 91%
- Window
- 3 wk51 snaps
- Momentum (z/wk)
- +0.97
- Now
- 88%from 79%
- Window
- 3 wk55 snaps
- Momentum (z/wk)
- +0.90
- Now
- 79%from 82%
- Window
- 4 wk51 snaps
- Momentum (z/wk)
- +0.86
- Now
- 73%from 52%
- Window
- 3 wk30 snaps
- Momentum (z/wk)
- +0.79
- Now
- 87%from 72%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +0.75
- Now
- 60%from 51%
- Window
- 3 wk40 snaps
- Momentum (z/wk)
- +0.75
- Now
- 83%from 75%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +0.72
- Now
- 88%from 85%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +0.69
- Now
- 79%from 66%
- Window
- 4 wk44 snaps
- Momentum (z/wk)
- +0.68
- Now
- 71%from 69%
- Window
- 3 wk44 snaps
- Momentum (z/wk)
- +0.68
- Now
- 98%from 98%
- Window
- 3 wk62 snaps
- Momentum (z/wk)
- +0.66
- Now
- 91%from 85%
- Window
- 4 wk54 snaps
- Momentum (z/wk)
- +0.64
- Now
- 71%from 70%
- Window
- 3 wk42 snaps
- Momentum (z/wk)
- +0.56
- Now
- 19%from 30%
- Window
- 3 wk21 snaps
- Momentum (z/wk)
- +0.55
- Now
- 68%from 62%
- Window
- 4 wk36 snaps
- Momentum (z/wk)
- +0.50
- Now
- 63%from 54%
- Window
- 4 wk34 snaps
- Momentum (z/wk)
- +0.49
- Now
- 61%from 56%
- Window
- 3 wk35 snaps
- Momentum (z/wk)
- +0.40
- Now
- 68%from 71%
- Window
- 3 wk43 snaps
- Momentum (z/wk)
- +0.39
- Now
- 67%from 68%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +0.38
- Now
- 64%from 87%
- Window
- 4 wk51 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 RobinsonWR NYG | 31%47% | +17 | 2 |
| 4 |  Jaxon Smith-NjigbaWRSEA | 26%40% | +13 | 3 |
| 5 |  Marquez Valdes-ScantlingWR PIT | 3%16% | +13 | 3 |
| 6 |  Brashard SmithRB KC | 0%13% | +13 | 3 |
| 7 |  Chris OlaveWRNO | 25%37% | +13 | 2 |
| 8 |  Christian McCaffreyRBSF | 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 JeudyWR CLE | 14%25% | +10 | 3 |
| 19 |  Omarion HamptonRB LAC | 7%17% | +10 | 2 |
| 20 |  Christian KirkWR HOU | 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 9, 2025
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 343.8/gm | 37% | 7.4 |
| 2 |  Keenan AllenWRLAC | 303.3/gm | 35% | 7.8 |
| 3 |  Tetairoa McMillanWR CAR | 293.2/gm | 35% | 6.4 |
| 4 |  Courtland SuttonWRDEN | 293.2/gm | 30% | 11.2 |
| 5 | Chris OlaveWRNO | 262.9/gm | 30% | 4.7 |
| 6 | Jerry JeudyWRCLE | 253.1/gm | 28% | 5.4 |
| 7 |  Ja'Marr ChaseWR CIN | 242.7/gm | 32% | 9.2 |
| 8 |  Rome OdunzeWRCHI | 243.4/gm | 32% | 10.2 |
| 9 |  George PickensWRDAL | 232.6/gm | 24% | 11.5 |
| 10 |  Davante AdamsWR LAR | 222.8/gm | 31% | 6.0 |
| 11 | Jaxon Smith-NjigbaWRSEA | 222.8/gm | 36% | 9.7 |
| 12 |  Brian Thomas Jr.WRJAX | 212.6/gm | 26% | 6.8 |
| 13 | Emeka EgbukaWRTB | 212.6/gm | 30% | 8.9 |
| 14 | DeVonta SmithWRPHI | 213.0/gm | 37% | 11.3 |
| 15 |  Stefon DiggsWR NE | 202.2/gm | 27% | 9.3 |
| 16 |  Zay FlowersWRBAL | 202.9/gm | 31% | 7.2 |
| 17 | Jauan JenningsWRSF | 202.9/gm | 23% | 8.4 |
| 18 | Drake LondonWRATL | 202.9/gm | 26% | 3.2 |
| 19 |  Tee HigginsWRCIN | 192.4/gm | 25% | 8.9 |
| 20 |  Puka NacuaWRLAR | 192.7/gm | 27% | 10.7 |
| 21 | Elic AyomanorWRTEN | 182.0/gm | 25% | 5.6 |
| 22 |  Ladd McConkeyWRLAC | 182.3/gm | 21% | 4.1 |
| 23 |  Jakobi MeyersWRLV | 183.0/gm | 27% | 6.1 |
| 24 |  Garrett WilsonWRNYJ | 183.0/gm | 27% | 4.2 |
WR · Money downs (3rd+4th)
As of Week 9, 2025
- Money-down targets
- 343.8/gm
- Money-down target share
- 37%
- Money-down yards / target
- 7.4
- Money-down targets
- 303.3/gm
- Money-down target share
- 35%
- Money-down yards / target
- 7.8
- Money-down targets
- 293.2/gm
- Money-down target share
- 35%
- Money-down yards / target
- 6.4
- Money-down targets
- 293.2/gm
- Money-down target share
- 30%
- Money-down yards / target
- 11.2
- Money-down targets
- 262.9/gm
- Money-down target share
- 30%
- Money-down yards / target
- 4.7
- Money-down targets
- 253.1/gm
- Money-down target share
- 28%
- Money-down yards / target
- 5.4
- Money-down targets
- 242.7/gm
- Money-down target share
- 32%
- Money-down yards / target
- 9.2
- Money-down targets
- 243.4/gm
- Money-down target share
- 32%
- Money-down yards / target
- 10.2
- Money-down targets
- 232.6/gm
- Money-down target share
- 24%
- Money-down yards / target
- 11.5
- Money-down targets
- 222.8/gm
- Money-down target share
- 31%
- Money-down yards / target
- 6.0
- Money-down targets
- 222.8/gm
- Money-down target share
- 36%
- Money-down yards / target
- 9.7
- Money-down targets
- 212.6/gm
- Money-down target share
- 26%
- Money-down yards / target
- 6.8
- Money-down targets
- 212.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 8.9
- Money-down targets
- 213.0/gm
- Money-down target share
- 37%
- Money-down yards / target
- 11.3
- Money-down targets
- 202.2/gm
- Money-down target share
- 27%
- Money-down yards / target
- 9.3
- Money-down targets
- 202.9/gm
- Money-down target share
- 31%
- Money-down yards / target
- 7.2
- Money-down targets
- 202.9/gm
- Money-down target share
- 23%
- Money-down yards / target
- 8.4
- Money-down targets
- 202.9/gm
- Money-down target share
- 26%
- Money-down yards / target
- 3.2
- Money-down targets
- 192.4/gm
- Money-down target share
- 25%
- Money-down yards / target
- 8.9
- Money-down targets
- 192.7/gm
- Money-down target share
- 27%
- Money-down yards / target
- 10.7
- Money-down targets
- 182.0/gm
- Money-down target share
- 25%
- Money-down yards / target
- 5.6
- Money-down targets
- 182.3/gm
- Money-down target share
- 21%
- Money-down yards / target
- 4.1
- Money-down targets
- 183.0/gm
- Money-down target share
- 27%
- Money-down yards / target
- 6.1
- Money-down targets
- 183.0/gm
- Money-down target share
- 27%
- Money-down yards / target
- 4.2
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 9, 2025
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaWRSEA | 39% | 75% | 8 |
| 2 | Garrett WilsonWRNYJ | 38% | 95% | 6 |
| 3 | Ja'Marr ChaseWRCIN | 33% | 95% | 9 |
| 4 | Drake LondonWRATL | 33% | 91% | 7 |
| 5 |  Amon-Ra St. BrownWR DET | 33% | 89% | 8 |
| 6 | Justin JeffersonWRMIN | 32% | 95% | 8 |
| 7 | Puka NacuaWRLAR | 31% | 71% | 7 |
| 8 | Zay FlowersWRBAL | 30% | 87% | 8 |
| 9 | Chris OlaveWRNO | 28% | 87% | 9 |
| 10 | Tetairoa McMillanWRCAR | 28% | 89% | 9 |
| 11 | DeVonta SmithWRPHI | 27% | 90% | 8 |
| 12 |  Rashee RiceWRKC | 27% | 70% | 3 |
| 13 |  A.J. BrownWRPHI | 27% | 93% | 7 |
| 14 |  Malik NabersWRNYG | 27% | 80% | 4 |
| 15 | Davante AdamsWRLAR | 27% | 78% | 8 |
| 16 | Deebo SamuelWRWSH | 27% | 73% | 8 |
| 17 |  Nico CollinsWRHOU | 25% | 76% | 7 |
| 18 | CeeDee LambWRDAL | 25% | 72% | 6 |
| 19 | Wan'Dale RobinsonWRNYG | 25% | 89% | 9 |
| 20 |  Tyreek HillWRMIA | 25% | 69% | 4 |
| 21 | Emeka EgbukaWRTB | 24% | 80% | 8 |
| 22 | Michael Pittman Jr.WRIND | 24% | 84% | 9 |
| 23 | Ladd McConkeyWRLAC | 24% | 79% | 9 |
| 24 |  Mike EvansWRTB | 23% | 64% | 4 |
WR · target share
As of Week 9, 2025
- Target share
- 39%
- Snap share (on-field participation)
- 75%
- Games
- 8
- Target share
- 38%
- Snap share (on-field participation)
- 95%
- Games
- 6
- Target share
- 33%
- Snap share (on-field participation)
- 95%
- Games
- 9
- Target share
- 33%
- Snap share (on-field participation)
- 91%
- Games
- 7
- Target share
- 33%
- Snap share (on-field participation)
- 89%
- Games
- 8
- Target share
- 32%
- Snap share (on-field participation)
- 95%
- Games
- 8
- Target share
- 31%
- Snap share (on-field participation)
- 71%
- Games
- 7
- Target share
- 30%
- Snap share (on-field participation)
- 87%
- Games
- 8
- Target share
- 28%
- Snap share (on-field participation)
- 87%
- Games
- 9
- Target share
- 28%
- Snap share (on-field participation)
- 89%
- Games
- 9
- Target share
- 27%
- Snap share (on-field participation)
- 90%
- Games
- 8
- Target share
- 27%
- Snap share (on-field participation)
- 70%
- Games
- 3
- Target share
- 27%
- Snap share (on-field participation)
- 93%
- Games
- 7
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 4
- Target share
- 27%
- Snap share (on-field participation)
- 78%
- Games
- 8
- Target share
- 27%
- Snap share (on-field participation)
- 73%
- Games
- 8
- Target share
- 25%
- Snap share (on-field participation)
- 76%
- Games
- 7
- Target share
- 25%
- Snap share (on-field participation)
- 72%
- Games
- 6
- Target share
- 25%
- Snap share (on-field participation)
- 89%
- Games
- 9
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 4
- Target share
- 24%
- Snap share (on-field participation)
- 80%
- Games
- 8
- Target share
- 24%
- Snap share (on-field participation)
- 84%
- Games
- 9
- Target share
- 24%
- Snap share (on-field participation)
- 79%
- Games
- 9
- 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.