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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 12, 2025Point-in-time: aggregates Weeks 1–12 only. Uses no game after Week 12.
379 players · 5 metrics · click a column to sort
Stat leaders
379 players
Stat leaders
379 players
TeamSFGames12Opportunities320Snap share83%Target share27%Fantasy points (PPR)311Opportunity Score (proxy)0.80
TeamINDGames11Opportunities240Snap share84%Target share11%Fantasy points (PPR)283Opportunity Score (proxy)0.58
TeamMIAGames11Opportunities235Snap share80%Target share23%Fantasy points (PPR)235Opportunity Score (proxy)0.75
TeamATLGames11Opportunities233Snap share78%Target share18%Fantasy points (PPR)225Opportunity Score (proxy)0.67
TeamPHIGames11Opportunities226Snap share79%Target share14%Fantasy points (PPR)163Opportunity Score (proxy)0.61
TeamBUFGames11Opportunities225Snap share60%Target share·Fantasy points (PPR)205Opportunity Score (proxy)0.50
TeamDALGames11Opportunities220Snap share76%Target share·Fantasy points (PPR)178Opportunity Score (proxy)0.53
TeamLVGames11Opportunities212Snap share74%Target share13%Fantasy points (PPR)166Opportunity Score (proxy)0.62
TeamDETGames11Opportunities210Snap share63%Target share15%Fantasy points (PPR)259Opportunity Score (proxy)0.70
TeamCARGames12Opportunities208Snap share56%Target share10%Fantasy points (PPR)173Opportunity Score (proxy)0.48
TeamJAXGames11Opportunities206Snap share59%Target share11%Fantasy points (PPR)164Opportunity Score (proxy)0.44
TeamNYJGames11Opportunities205Snap share64%Target share12%Fantasy points (PPR)153Opportunity Score (proxy)0.52
TeamBALGames11Opportunities204Snap share56%Target share·Fantasy points (PPR)160Opportunity Score (proxy)0.47
Josh JacobsRBOUTTeamGBGames10Opportunities204Snap share64%Target share12%Fantasy points (PPR)181Opportunity Score (proxy)0.49
TeamCINGames11Opportunities202Snap share70%Target share14%Fantasy points (PPR)149Opportunity Score (proxy)0.64
TeamLARGames11Opportunities202Snap share71%Target share·Fantasy points (PPR)172Opportunity Score (proxy)0.50
TeamCLEGames10Opportunities193Snap share·Target share·Fantasy points (PPR)130Opportunity Score (proxy)0.46
TeamCHIGames10Opportunities176Snap share59%Target share10%Fantasy points (PPR)137Opportunity Score (proxy)0.42
TeamTENGames11Opportunities172Snap share67%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.52
Alvin KamaraRBOUTTeamNOGames11Opportunities170Snap share64%Target share12%Fantasy points (PPR)·Opportunity Score (proxy)0.47
TeamPITGames10Opportunities169Snap share·Target share10%Fantasy points (PPR)131Opportunity Score (proxy)0.46
TeamDENGames10Opportunities167Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamSEAGames11Opportunities166Snap share·Target share·Fantasy points (PPR)124Opportunity Score (proxy)0.38
TreVeyon HendersonRBOUTTeamNEGames12Opportunities152Snap share·Target share·Fantasy points (PPR)137Opportunity Score (proxy)·
TeamCINGames10Opportunities119Snap share95%Target share33%Fantasy points (PPR)194Opportunity Score (proxy)0.69
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 12, 2025
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  John Metchie IIIWR NYJ | +2.18 | 86%from 61% | 3 wk35 snaps |
| 2 |  A.J. BrownWR PHI | +1.79 | 94%from 88% | 3 wk58 snaps |
| 3 |  Adonai MitchellWRNYJ | +1.77 | 85%from 46% | 3 wk27 snaps |
| 4 |  Michael WilsonWR ARI | +1.58 | 82%from 82% | 4 wk63 snaps |
| 5 |  Greg DortchWRARI | +1.39 | 63%from 47% | 4 wk37 snaps |
| 6 |  Chris MooreWR WSH | +1.34 | 82%from 59% | 3 wk38 snaps |
| 7 |  Jayden HigginsWR HOU | +1.29 | 58%from 56% | 4 wk39 snaps |
| 8 |  Devaughn VeleWR NO | +1.17 | 89%from 68% | 3 wk47 snaps |
| 9 |  Jaxon Smith-NjigbaWR SEA | +1.14 | 79%from 68% | 4 wk42 snaps |
| 10 |  Xavier WeaverWRARI | +1.12 | 68%from 48% | 3 wk39 snaps |
| 11 |  Mason TiptonWRNO | +1.08 | 70%from 36% | 3 wk27 snaps |
| 12 |  Mitchell TinsleyWR CIN | +0.88 | 74%from 37% | 3 wk24 snaps |
| 13 |  Courtland SuttonWR DEN | +0.86 | 92%from 90% | 3 wk56 snaps |
| 14 |  Christian WatsonWR GB | +0.80 | 74%from 75% | 4 wk48 snaps |
| 15 |  Keenan AllenWR LAC | +0.80 | 75%from 54% | 3 wk32 snaps |
| 16 |  Pat BryantWRDEN | +0.78 | 56%from 54% | 3 wk34 snaps |
| 17 |  Tre TuckerWR LV | +0.77 | 95%from 97% | 4 wk64 snaps |
| 18 |  DeAndre HopkinsWR BAL | +0.76 | 54%from 46% | 4 wk28 snaps |
| 19 |  Rashee RiceWR KC | +0.73 | 63%from 74% | 3 wk54 snaps |
| 20 |  Chris OlaveWRNO | +0.71 | 80%from 74% | 3 wk46 snaps |
| 21 |  DeVonta SmithWRPHI | +0.64 | 95%from 95% | 3 wk63 snaps |
| 22 |  Jordan WhittingtonWR LAR | +0.60 | 61%from 41% | 4 wk25 snaps |
| 23 |  Jakobi MeyersWR JAX | +0.59 | 84%from 71% | 4 wk46 snaps |
| 24 |  Luther Burden IIIWR CHI | +0.55 | 51%from 48% | 3 wk33 snaps |
WR · Risers
As of Week 12, 2025
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.18
- Now
- 86%from 61%
- Window
- 3 wk35 snaps
- Momentum (z/wk)
- +1.79
- Now
- 94%from 88%
- Window
- 3 wk58 snaps
- Momentum (z/wk)
- +1.77
- Now
- 85%from 46%
- Window
- 3 wk27 snaps
- Momentum (z/wk)
- +1.58
- Now
- 82%from 82%
- Window
- 4 wk63 snaps
- Momentum (z/wk)
- +1.39
- Now
- 63%from 47%
- Window
- 4 wk37 snaps
- Momentum (z/wk)
- +1.34
- Now
- 82%from 59%
- Window
- 3 wk38 snaps
- Momentum (z/wk)
- +1.29
- Now
- 58%from 56%
- Window
- 4 wk39 snaps
- Momentum (z/wk)
- +1.17
- Now
- 89%from 68%
- Window
- 3 wk47 snaps
- Momentum (z/wk)
- +1.14
- Now
- 79%from 68%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +1.12
- Now
- 68%from 48%
- Window
- 3 wk39 snaps
- Momentum (z/wk)
- +1.08
- Now
- 70%from 36%
- Window
- 3 wk27 snaps
- Momentum (z/wk)
- +0.88
- Now
- 74%from 37%
- Window
- 3 wk24 snaps
- Momentum (z/wk)
- +0.86
- Now
- 92%from 90%
- Window
- 3 wk56 snaps
- Momentum (z/wk)
- +0.80
- Now
- 74%from 75%
- Window
- 4 wk48 snaps
- Momentum (z/wk)
- +0.80
- Now
- 75%from 54%
- Window
- 3 wk32 snaps
- Momentum (z/wk)
- +0.78
- Now
- 56%from 54%
- Window
- 3 wk34 snaps
- Momentum (z/wk)
- +0.77
- Now
- 95%from 97%
- Window
- 4 wk64 snaps
- Momentum (z/wk)
- +0.76
- Now
- 54%from 46%
- Window
- 4 wk28 snaps
- Momentum (z/wk)
- +0.73
- Now
- 63%from 74%
- Window
- 3 wk54 snaps
- Momentum (z/wk)
- +0.71
- Now
- 80%from 74%
- Window
- 3 wk46 snaps
- Momentum (z/wk)
- +0.64
- Now
- 95%from 95%
- Window
- 3 wk63 snaps
- Momentum (z/wk)
- +0.60
- Now
- 61%from 41%
- Window
- 4 wk25 snaps
- Momentum (z/wk)
- +0.59
- Now
- 84%from 71%
- Window
- 4 wk46 snaps
- Momentum (z/wk)
- +0.55
- Now
- 51%from 48%
- Window
- 3 wk33 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-NjigbaWRSEA | 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 AyomanorWR TEN | 10%22% | +12 | 3 |
| 11 |  Kevin Austin Jr.WRNO | 5%17% | +12 | 3 |
| 12 |  Jake TongesTESF | 0%12% | +12 | 3 |
| 13 |  Colston LovelandTECHI | 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 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 12, 2025
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 443.7/gm | 35% | 7.7 |
| 2 |  Tetairoa McMillanWR CAR | 383.2/gm | 36% | 6.2 |
| 3 | Keenan AllenWRLAC | 363.3/gm | 35% | 7.9 |
| 4 | Courtland SuttonWRDEN | 363.3/gm | 30% | 10.7 |
| 5 | Chris OlaveWRNO | 343.1/gm | 32% | 6.5 |
| 6 | Jerry JeudyWRCLE | 333.0/gm | 28% | 5.1 |
| 7 |  Davante AdamsWRLAR | 302.7/gm | 32% | 5.4 |
| 8 | DeVonta SmithWRPHI | 303.0/gm | 36% | 10.5 |
| 9 |  Stefon DiggsWR NE | 292.4/gm | 28% | 7.7 |
| 10 |  Rome OdunzeWRCHI | 292.9/gm | 28% | 9.0 |
| 11 |  Ja'Marr ChaseWRCIN | 282.8/gm | 28% | 8.4 |
| 12 |  Emeka EgbukaWR TB | 262.4/gm | 26% | 7.2 |
| 13 |  Puka NacuaWRLAR | 262.6/gm | 27% | 10.2 |
| 14 | Jaxon Smith-NjigbaWRSEA | 262.6/gm | 33% | 10.9 |
| 15 |  George PickensWR DAL | 252.3/gm | 22% | 11.7 |
| 16 |  Drake LondonWR ATL | 252.8/gm | 28% | 3.1 |
| 17 | Justin JeffersonWRMIN | 252.8/gm | 29% | 6.5 |
| 18 |  Tee HigginsWRCIN | 242.4/gm | 24% | 7.0 |
| 19 |  Jameson WilliamsWR DET | 242.4/gm | 34% | 10.0 |
| 20 |  Jauan JenningsWRSF | 242.4/gm | 22% | 8.5 |
| 21 | Jakobi MeyersWRJAX | 242.7/gm | 25% | 7.2 |
| 22 |  Khalil ShakirWR BUF | 243.0/gm | 27% | 7.5 |
| 23 | A.J. BrownWRPHI | 243.0/gm | 29% | 10.3 |
| 24 |  Zay FlowersWRBAL | 232.6/gm | 26% | 7.0 |
WR · Money downs (3rd+4th)
As of Week 12, 2025
- Money-down targets
- 443.7/gm
- Money-down target share
- 35%
- Money-down yards / target
- 7.7
- Money-down targets
- 383.2/gm
- Money-down target share
- 36%
- Money-down yards / target
- 6.2
- Money-down targets
- 363.3/gm
- Money-down target share
- 35%
- Money-down yards / target
- 7.9
- Money-down targets
- 363.3/gm
- Money-down target share
- 30%
- Money-down yards / target
- 10.7
- Money-down targets
- 343.1/gm
- Money-down target share
- 32%
- Money-down yards / target
- 6.5
- Money-down targets
- 333.0/gm
- Money-down target share
- 28%
- Money-down yards / target
- 5.1
- Money-down targets
- 302.7/gm
- Money-down target share
- 32%
- Money-down yards / target
- 5.4
- Money-down targets
- 303.0/gm
- Money-down target share
- 36%
- Money-down yards / target
- 10.5
- Money-down targets
- 292.4/gm
- Money-down target share
- 28%
- Money-down yards / target
- 7.7
- Money-down targets
- 292.9/gm
- Money-down target share
- 28%
- Money-down yards / target
- 9.0
- Money-down targets
- 282.8/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.4
- Money-down targets
- 262.4/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.2
- Money-down targets
- 262.6/gm
- Money-down target share
- 27%
- Money-down yards / target
- 10.2
- Money-down targets
- 262.6/gm
- Money-down target share
- 33%
- Money-down yards / target
- 10.9
- Money-down targets
- 252.3/gm
- Money-down target share
- 22%
- Money-down yards / target
- 11.7
- Money-down targets
- 252.8/gm
- Money-down target share
- 28%
- Money-down yards / target
- 3.1
- Money-down targets
- 252.8/gm
- Money-down target share
- 29%
- Money-down yards / target
- 6.5
- Money-down targets
- 242.4/gm
- Money-down target share
- 24%
- Money-down yards / target
- 7.0
- Money-down targets
- 242.4/gm
- Money-down target share
- 34%
- Money-down yards / target
- 10.0
- Money-down targets
- 242.4/gm
- Money-down target share
- 22%
- Money-down yards / target
- 8.5
- Money-down targets
- 242.7/gm
- Money-down target share
- 25%
- Money-down yards / target
- 7.2
- Money-down targets
- 243.0/gm
- Money-down target share
- 27%
- Money-down yards / target
- 7.5
- Money-down targets
- 243.0/gm
- Money-down target share
- 29%
- Money-down yards / target
- 10.3
- Money-down targets
- 232.6/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.0
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 12, 2025
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaWRSEA | 39% | 73% | 11 |
| 2 |  Garrett WilsonWRNYJ | 36% | 87% | 7 |
| 3 | Drake LondonWRATL | 33% | 92% | 9 |
| 4 | Ja'Marr ChaseWRCIN | 33% | 95% | 10 |
| 5 |  Amon-Ra St. BrownWRDET | 32% | 89% | 11 |
| 6 | Justin JeffersonWRMIN | 31% | 96% | 11 |
| 7 | Puka NacuaWRLAR | 29% | 70% | 10 |
| 8 | Chris OlaveWRNO | 29% | 83% | 11 |
| 9 | Zay FlowersWRBAL | 28% | 87% | 11 |
| 10 | Tetairoa McMillanWRCAR | 28% | 89% | 12 |
| 11 | Wan'Dale RobinsonWRNYG | 27% | 90% | 12 |
| 12 | A.J. BrownWRPHI | 27% | 92% | 10 |
| 13 |  Malik NabersWRNYG | 27% | 80% | 4 |
| 14 | DeVonta SmithWRPHI | 27% | 92% | 11 |
| 15 | Davante AdamsWRLAR | 26% | 76% | 11 |
| 16 |  Deebo SamuelWRWSH | 26% | 74% | 10 |
| 17 | Rashee RiceWRKC | 26% | 70% | 5 |
| 18 | Emeka EgbukaWRTB | 26% | 83% | 11 |
| 19 |  CeeDee LambWRDAL | 26% | 74% | 8 |
| 20 |  Nico CollinsWRHOU | 25% | 78% | 10 |
| 21 |  Tyreek HillWR MIA | 25% | 69% | 4 |
| 22 | George PickensWRDAL | 24% | 83% | 11 |
| 23 | Rome OdunzeWRCHI | 24% | 89% | 11 |
| 24 |  Jaylen WaddleWRMIA | 24% | 81% | 11 |
WR · target share
As of Week 12, 2025
- Target share
- 39%
- Snap share (on-field participation)
- 73%
- Games
- 11
- Target share
- 36%
- Snap share (on-field participation)
- 87%
- Games
- 7
- Target share
- 33%
- Snap share (on-field participation)
- 92%
- Games
- 9
- Target share
- 33%
- Snap share (on-field participation)
- 95%
- Games
- 10
- Target share
- 32%
- Snap share (on-field participation)
- 89%
- Games
- 11
- Target share
- 31%
- Snap share (on-field participation)
- 96%
- Games
- 11
- Target share
- 29%
- Snap share (on-field participation)
- 70%
- Games
- 10
- Target share
- 29%
- Snap share (on-field participation)
- 83%
- Games
- 11
- Target share
- 28%
- Snap share (on-field participation)
- 87%
- Games
- 11
- Target share
- 28%
- Snap share (on-field participation)
- 89%
- Games
- 12
- Target share
- 27%
- Snap share (on-field participation)
- 90%
- Games
- 12
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 10
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 4
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 11
- Target share
- 26%
- Snap share (on-field participation)
- 76%
- Games
- 11
- Target share
- 26%
- Snap share (on-field participation)
- 74%
- Games
- 10
- Target share
- 26%
- Snap share (on-field participation)
- 70%
- Games
- 5
- Target share
- 26%
- Snap share (on-field participation)
- 83%
- Games
- 11
- Target share
- 26%
- Snap share (on-field participation)
- 74%
- Games
- 8
- Target share
- 25%
- Snap share (on-field participation)
- 78%
- Games
- 10
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 4
- Target share
- 24%
- Snap share (on-field participation)
- 83%
- Games
- 11
- Target share
- 24%
- Snap share (on-field participation)
- 89%
- Games
- 11
- Target share
- 24%
- Snap share (on-field participation)
- 81%
- Games
- 11
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.