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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 14, 2025Point-in-time: aggregates Weeks 1–14 only. Uses no game after Week 14.
168 players · 5 metrics · click a column to sort
Stat leaders
168 players
Stat leaders
168 players
TeamCINGames12Opportunities142Snap share96%Target share32%Fantasy points (PPR)222Opportunity Score (proxy)0.68
TeamSEAGames13Opportunities128Snap share·Target share37%Fantasy points (PPR)287Opportunity Score (proxy)0.92
TeamLARGames12Opportunities124Snap share·Target share30%Fantasy points (PPR)259Opportunity Score (proxy)0.62
TeamNOGames13Opportunities121Snap share84%Target share28%Fantasy points (PPR)185Opportunity Score (proxy)0.70
TeamDETGames13Opportunities120Snap share·Target share30%Fantasy points (PPR)234Opportunity Score (proxy)·
TeamDALGames13Opportunities114Snap share·Target share25%Fantasy points (PPR)246Opportunity Score (proxy)0.60
TeamTBGames13Opportunities112Snap share84%Target share27%Fantasy points (PPR)174Opportunity Score (proxy)0.72
TeamNYGGames13Opportunities112Snap share91%Target share28%Fantasy points (PPR)174Opportunity Score (proxy)0.63
TeamMINGames13Opportunities110Snap share95%Target share29%Fantasy points (PPR)·Opportunity Score (proxy)0.70
TeamLARGames13Opportunities105Snap share·Target share25%Fantasy points (PPR)212Opportunity Score (proxy)0.63
TeamHOUGames12Opportunities105Snap share·Target share26%Fantasy points (PPR)184Opportunity Score (proxy)0.61
Zay FlowersWRQUESTIONABLETeamBALGames13Opportunities104Snap share88%Target share29%Fantasy points (PPR)164Opportunity Score (proxy)0.75
A.J. BrownWRIRTeamPHIGames12Opportunities100Snap share93%Target share29%Fantasy points (PPR)178Opportunity Score (proxy)0.68
TeamCARGames13Opportunities98Snap share88%Target share27%Fantasy points (PPR)176Opportunity Score (proxy)0.72
Ladd McConkeyWRQUESTIONABLETeamLACGames13Opportunities95Snap share·Target share·Fantasy points (PPR)159Opportunity Score (proxy)·
TeamLACGames13Opportunities94Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamINDGames13Opportunities94Snap share84%Target share·Fantasy points (PPR)183Opportunity Score (proxy)·
TeamPHIGames13Opportunities94Snap share92%Target share27%Fantasy points (PPR)166Opportunity Score (proxy)0.59
TeamARIGames13Opportunities94Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamWSHGames12Opportunities94Snap share·Target share26%Fantasy points (PPR)159Opportunity Score (proxy)·
TeamATLGames9Opportunities94Snap share92%Target share33%Fantasy points (PPR)177Opportunity Score (proxy)0.60
TeamDENGames13Opportunities92Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.58
TeamDENGames13Opportunities90Snap share85%Target share·Fantasy points (PPR)165Opportunity Score (proxy)0.52
TeamCHIGames12Opportunities90Snap share88%Target share24%Fantasy points (PPR)·Opportunity Score (proxy)0.59
TeamLVGames13Opportunities·Snap share94%Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
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 14, 2025
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Jack BechWR LV | +2.05 | 82%from 41% | 4 wk22 snaps |
| 2 |  Ryan FlournoyWR DAL | +1.89 | 65%from 48% | 4 wk36 snaps |
| 3 |  Dylan DrummondWR ATL | +1.71 | 61%from 39% | 3 wk25 snaps |
| 4 |  Chris Godwin Jr.WR TB | +1.49 | 69%from 57% | 3 wk39 snaps |
| 5 |  Chimere DikeWR TEN | +1.33 | 67%from 63% | 4 wk42 snaps |
| 6 |  Olamide ZaccheausWR CHI | +1.33 | 79%from 39% | 4 wk28 snaps |
| 7 |  Jakobi MeyersWR JAX | +1.25 | 83%from 81% | 4 wk52 snaps |
| 8 |  John Metchie IIIWR NYJ | +1.18 | 97%from 91% | 4 wk55 snaps |
| 9 |  Isaac TeSlaaWR DET | +1.12 | 77%from 61% | 4 wk39 snaps |
| 10 |  Alec PierceWR IND | +1.00 | 83%from 92% | 3 wk53 snaps |
| 11 |  DK MetcalfWR PIT | +0.93 | 83%from 85% | 4 wk49 snaps |
| 12 | Zay FlowersWR BAL | +0.81 | 93%from 90% | 4 wk60 snaps |
| 13 |  Jalen CokerWR CAR | +0.79 | 55%from 69% | 3 wk42 snaps |
| 14 |  Adonai MitchellWRNYJ | +0.73 | 91%from 78% | 4 wk47 snaps |
| 15 |  Gage LarvadainWR CLE | +0.70 | 42%from 26% | 4 wk16 snaps |
| 16 |  Andre BaccelliaWR ARI | +0.70 | 79%from 30% | 4 wk21 snaps |
| 17 |  David Sills VWRATL | +0.68 | 94%from 76% | 4 wk49 snaps |
| 18 |  Luther Burden IIIWRCHI | +0.66 | 71%from 54% | 4 wk40 snaps |
| 19 |  Devontez WalkerWRBAL | +0.65 | 28%from 28% | 3 wk17 snaps |
| 20 |  Josh DownsWRIND | +0.63 | 66%from 55% | 3 wk33 snaps |
| 21 |  Lil'Jordan HumphreyWR DEN | +0.60 | 38%from 24% | 3 wk17 snaps |
| 22 | Ladd McConkeyWR LAC | +0.57 | 86%from 75% | 3 wk48 snaps |
| 23 |  Jahan DotsonWR PHI | +0.51 | 49%from 49% | 4 wk31 snaps |
| 24 |  Jameson WilliamsWRDET | +0.50 | 92%from 95% | 4 wk60 snaps |
WR · Risers
As of Week 14, 2025
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +1.89
- Now
- 65%from 48%
- Window
- 4 wk36 snaps
- Momentum (z/wk)
- +1.71
- Now
- 61%from 39%
- Window
- 3 wk25 snaps
- Momentum (z/wk)
- +1.49
- Now
- 69%from 57%
- Window
- 3 wk39 snaps
- Momentum (z/wk)
- +1.33
- Now
- 67%from 63%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +1.33
- Now
- 79%from 39%
- Window
- 4 wk28 snaps
- Momentum (z/wk)
- +1.25
- Now
- 83%from 81%
- Window
- 4 wk52 snaps
- Momentum (z/wk)
- +1.18
- Now
- 97%from 91%
- Window
- 4 wk55 snaps
- Momentum (z/wk)
- +1.12
- Now
- 77%from 61%
- Window
- 4 wk39 snaps
- Momentum (z/wk)
- +1.00
- Now
- 83%from 92%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +0.93
- Now
- 83%from 85%
- Window
- 4 wk49 snaps
- Momentum (z/wk)
- +0.81
- Now
- 93%from 90%
- Window
- 4 wk60 snaps
- Momentum (z/wk)
- +0.79
- Now
- 55%from 69%
- Window
- 3 wk42 snaps
- Momentum (z/wk)
- +0.73
- Now
- 91%from 78%
- Window
- 4 wk47 snaps
- Momentum (z/wk)
- +0.70
- Now
- 42%from 26%
- Window
- 4 wk16 snaps
- Momentum (z/wk)
- +0.70
- Now
- 79%from 30%
- Window
- 4 wk21 snaps
- Momentum (z/wk)
- +0.68
- Now
- 94%from 76%
- Window
- 4 wk49 snaps
- Momentum (z/wk)
- +0.66
- Now
- 71%from 54%
- Window
- 4 wk40 snaps
- Momentum (z/wk)
- +0.65
- Now
- 28%from 28%
- Window
- 3 wk17 snaps
- Momentum (z/wk)
- +0.63
- Now
- 66%from 55%
- Window
- 3 wk33 snaps
- Momentum (z/wk)
- +0.60
- Now
- 38%from 24%
- Window
- 3 wk17 snaps
- Momentum (z/wk)
- +0.57
- Now
- 86%from 75%
- Window
- 3 wk48 snaps
- Momentum (z/wk)
- +0.51
- Now
- 49%from 49%
- Window
- 4 wk31 snaps
- Momentum (z/wk)
- +0.50
- Now
- 92%from 95%
- Window
- 4 wk60 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-ScantlingWRPIT | 3%16% | +13 | 3 |
| 6 |  Brashard SmithRB KC | 0%13% | +13 | 3 |
| 7 |  Chris OlaveWR NO | 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 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 JeudyWRCLE | 14%25% | +10 | 3 |
| 19 |  Omarion HamptonRBLAC | 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 14, 2025
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 453.5/gm | 34% | 7.6 |
| 2 |  Courtland SuttonWRDEN | 433.3/gm | 31% | 10.2 |
| 3 |  Keenan AllenWRLAC | 413.1/gm | 33% | 7.9 |
| 4 |  Tetairoa McMillanWRCAR | 393.0/gm | 33% | 7.2 |
| 5 | Chris OlaveWRNO | 372.9/gm | 30% | 7.0 |
| 6 |  Ja'Marr ChaseWR CIN | 373.1/gm | 29% | 7.8 |
| 7 |  DeVonta SmithWRPHI | 363.0/gm | 35% | 10.7 |
| 8 |  George PickensWRDAL | 352.7/gm | 24% | 10.5 |
| 9 | Jerry JeudyWRCLE | 342.8/gm | 26% | 4.9 |
| 10 |  Davante AdamsWR LAR | 322.7/gm | 31% | 5.3 |
| 11 |  Stefon DiggsWR NE | 312.4/gm | 28% | 7.5 |
| 12 |  Emeka EgbukaWRTB | 312.4/gm | 27% | 6.7 |
| 13 | Jaxon Smith-NjigbaWRSEA | 312.6/gm | 33% | 9.9 |
| 14 | Zay FlowersWRBAL | 312.8/gm | 29% | 7.5 |
| 15 |  Rome OdunzeWRCHI | 312.8/gm | 26% | 8.5 |
| 16 | A.J. BrownWRPHI | 313.1/gm | 30% | 9.4 |
| 17 | Josh DownsWRIND | 302.5/gm | 31% | 6.4 |
| 18 |  Puka NacuaWRLAR | 292.4/gm | 28% | 9.6 |
| 19 |  Tee HigginsWRCIN | 282.5/gm | 22% | 7.9 |
| 20 | Jakobi MeyersWRJAX | 282.5/gm | 26% | 6.9 |
| 21 | Justin JeffersonWRMIN | 282.5/gm | 28% | 6.6 |
| 22 |  Khalil ShakirWR BUF | 282.8/gm | 26% | 7.0 |
| 23 |  CeeDee LambWRDAL | 283.1/gm | 19% | 9.5 |
| 24 | Ladd McConkeyWRLAC | 272.3/gm | 22% | 6.2 |
WR · Money downs (3rd+4th)
As of Week 14, 2025
- Money-down targets
- 453.5/gm
- Money-down target share
- 34%
- Money-down yards / target
- 7.6
- Money-down targets
- 433.3/gm
- Money-down target share
- 31%
- Money-down yards / target
- 10.2
- Money-down targets
- 413.1/gm
- Money-down target share
- 33%
- Money-down yards / target
- 7.9
- Money-down targets
- 393.0/gm
- Money-down target share
- 33%
- Money-down yards / target
- 7.2
- Money-down targets
- 372.9/gm
- Money-down target share
- 30%
- Money-down yards / target
- 7.0
- Money-down targets
- 373.1/gm
- Money-down target share
- 29%
- Money-down yards / target
- 7.8
- Money-down targets
- 363.0/gm
- Money-down target share
- 35%
- Money-down yards / target
- 10.7
- Money-down targets
- 352.7/gm
- Money-down target share
- 24%
- Money-down yards / target
- 10.5
- Money-down targets
- 342.8/gm
- Money-down target share
- 26%
- Money-down yards / target
- 4.9
- Money-down targets
- 322.7/gm
- Money-down target share
- 31%
- Money-down yards / target
- 5.3
- Money-down targets
- 312.4/gm
- Money-down target share
- 28%
- Money-down yards / target
- 7.5
- Money-down targets
- 312.4/gm
- Money-down target share
- 27%
- Money-down yards / target
- 6.7
- Money-down targets
- 312.6/gm
- Money-down target share
- 33%
- Money-down yards / target
- 9.9
- Money-down targets
- 312.8/gm
- Money-down target share
- 29%
- Money-down yards / target
- 7.5
- Money-down targets
- 312.8/gm
- Money-down target share
- 26%
- Money-down yards / target
- 8.5
- Money-down targets
- 313.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 9.4
- Money-down targets
- 302.5/gm
- Money-down target share
- 31%
- Money-down yards / target
- 6.4
- Money-down targets
- 292.4/gm
- Money-down target share
- 28%
- Money-down yards / target
- 9.6
- Money-down targets
- 282.5/gm
- Money-down target share
- 22%
- Money-down yards / target
- 7.9
- Money-down targets
- 282.5/gm
- Money-down target share
- 26%
- Money-down yards / target
- 6.9
- Money-down targets
- 282.5/gm
- Money-down target share
- 28%
- Money-down yards / target
- 6.6
- Money-down targets
- 282.8/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.0
- Money-down targets
- 283.1/gm
- Money-down target share
- 19%
- Money-down yards / target
- 9.5
- Money-down targets
- 272.3/gm
- Money-down target share
- 22%
- Money-down yards / target
- 6.2
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 14, 2025
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaWRSEA | 37% | 74% | 13 |
| 2 |  Garrett WilsonWRNYJ | 36% | 87% | 7 |
| 3 |  Drake LondonWRATL | 33% | 92% | 9 |
| 4 | Ja'Marr ChaseWRCIN | 32% | 96% | 12 |
| 5 | Puka NacuaWRLAR | 30% | 68% | 12 |
| 6 |  Amon-Ra St. BrownWRDET | 30% | 83% | 13 |
| 7 | Justin JeffersonWRMIN | 29% | 95% | 13 |
| 8 | A.J. BrownWRPHI | 29% | 93% | 12 |
| 9 | Zay FlowersWRBAL | 29% | 88% | 13 |
| 10 | Chris OlaveWRNO | 28% | 84% | 13 |
| 11 |  Rashee RiceWRKC | 28% | 74% | 7 |
| 12 | Wan'Dale RobinsonWRNYG | 28% | 91% | 13 |
| 13 |  Malik NabersWRNYG | 27% | 80% | 4 |
| 14 | Emeka EgbukaWRTB | 27% | 84% | 13 |
| 15 | Tetairoa McMillanWRCAR | 27% | 88% | 13 |
| 16 | DeVonta SmithWRPHI | 27% | 92% | 13 |
| 17 |  Deebo SamuelWR WSH | 26% | 72% | 12 |
| 18 |  Nico CollinsWRHOU | 26% | 78% | 12 |
| 19 | Davante AdamsWRLAR | 25% | 73% | 13 |
| 20 |  Jaylen WaddleWR MIA | 25% | 82% | 13 |
| 21 | CeeDee LambWRDAL | 25% | 72% | 10 |
| 22 |  Tyreek HillWRMIA | 25% | 69% | 4 |
| 23 | George PickensWRDAL | 25% | 83% | 13 |
| 24 | Rome OdunzeWRCHI | 24% | 88% | 12 |
WR · target share
As of Week 14, 2025
- Target share
- 37%
- Snap share (on-field participation)
- 74%
- Games
- 13
- Target share
- 36%
- Snap share (on-field participation)
- 87%
- Games
- 7
- Target share
- 33%
- Snap share (on-field participation)
- 92%
- Games
- 9
- Target share
- 32%
- Snap share (on-field participation)
- 96%
- Games
- 12
- Target share
- 30%
- Snap share (on-field participation)
- 68%
- Games
- 12
- Target share
- 30%
- Snap share (on-field participation)
- 83%
- Games
- 13
- Target share
- 29%
- Snap share (on-field participation)
- 95%
- Games
- 13
- Target share
- 29%
- Snap share (on-field participation)
- 93%
- Games
- 12
- Target share
- 29%
- Snap share (on-field participation)
- 88%
- Games
- 13
- Target share
- 28%
- Snap share (on-field participation)
- 84%
- Games
- 13
- Target share
- 28%
- Snap share (on-field participation)
- 74%
- Games
- 7
- Target share
- 28%
- Snap share (on-field participation)
- 91%
- Games
- 13
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 4
- Target share
- 27%
- Snap share (on-field participation)
- 84%
- Games
- 13
- Target share
- 27%
- Snap share (on-field participation)
- 88%
- Games
- 13
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 13
- Target share
- 26%
- Snap share (on-field participation)
- 72%
- Games
- 12
- Target share
- 26%
- Snap share (on-field participation)
- 78%
- Games
- 12
- Target share
- 25%
- Snap share (on-field participation)
- 73%
- Games
- 13
- Target share
- 25%
- Snap share (on-field participation)
- 82%
- Games
- 13
- Target share
- 25%
- Snap share (on-field participation)
- 72%
- Games
- 10
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 4
- Target share
- 25%
- Snap share (on-field participation)
- 83%
- Games
- 13
- 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.
Per-metric leaderboards: WR top 10
Opportunities
carries + targets: total volume, who's getting fed
- 1Ja'Marr ChaseCIN14211.8/gm
- 2Jaxon Smith-NjigbaSEA1289.8/gm
- 3Puka NacuaLAR12410.3/gm
- 4Chris OlaveNO1219.3/gm
- 5Amon-Ra St. BrownDET1209.2/gm
- 6George PickensDAL1148.8/gm
- 7Emeka EgbukaTB1128.6/gm
- 8Wan'Dale RobinsonNYG1128.6/gm
- 9Justin JeffersonMIN1108.5/gm
- 10Davante AdamsLAR1058.1/gm
Snap share
share of offensive snaps: on-field role
- 1Ja'Marr ChaseCIN96%12 gms
- 2Justin JeffersonMIN95%13 gms
- 3
Tre TuckerLV94%13 gms - 4A.J. BrownIRPHI93%12 gms
- 5DeVonta SmithPHI92%13 gms
- 6Drake LondonATL92%9 gms
- 7Wan'Dale RobinsonNYG91%13 gms
- 8Jameson WilliamsDET90%13 gms
- 9
Jordan AddisonMIN89%10 gms - 10Rome OdunzeCHI88%12 gms
Target share
share of team targets: passing-game role
- 1Jaxon Smith-NjigbaSEA37%13 gms
- 2Garrett WilsonNYJ36%7 gms
- 3Drake LondonATL33%9 gms
- 4Ja'Marr ChaseCIN32%12 gms
- 5Puka NacuaLAR30%12 gms
- 6Amon-Ra St. BrownDET30%13 gms
- 7Justin JeffersonMIN29%13 gms
- 8A.J. BrownIRPHI29%12 gms
- 9Zay FlowersQUESTIONABLEBAL29%13 gms
- 10Chris OlaveNO28%13 gms
Fantasy points (PPR)
PPR fantasy points: the headline scoring leaderboard
- 1Jaxon Smith-NjigbaSEA28722.1/gm
- 2Puka NacuaLAR25921.6/gm
- 3George PickensDAL24618.9/gm
- 4Amon-Ra St. BrownDET23418.0/gm
- 5Ja'Marr ChaseCIN22218.5/gm
- 6Davante AdamsLAR21216.3/gm
- 7Chris OlaveNO18514.2/gm
- 8Nico CollinsHOU18415.3/gm
- 9
Michael Pittman Jr.IND18314.1/gm - 10A.J. BrownIRPHI17814.8/gm
Receptions
catches: PPR's core currency
- 1Puka NacuaLAR937.8/gm
- 2Ja'Marr ChaseCIN917.6/gm
- 3Jaxon Smith-NjigbaSEA896.8/gm
- 4Amon-Ra St. BrownDET816.2/gm
- 5George PickensDAL786.0/gm
- 6Chris OlaveNO765.8/gm
- 7Wan'Dale RobinsonNYG735.6/gm
- 8Michael Pittman Jr.IND695.3/gm
- 9Zay FlowersQUESTIONABLEBAL685.2/gm
- 10Stefon DiggsNE644.9/gm
Yards from scrimmage
receiving + rushing yards
- 1Jaxon Smith-NjigbaSEA1,464112.6/gm
- 2Puka NacuaLAR1,259104.9/gm
- 3George PickensDAL1,17990.7/gm
- 4Ja'Marr ChaseCIN1,02985.8/gm
- 5Amon-Ra St. BrownDET98575.8/gm
- 6Zay FlowersQUESTIONABLEBAL93571.9/gm
- 7Nico CollinsHOU93177.6/gm
- 8CeeDee LambDAL86786.7/gm
- 9DeVonta SmithPHI83964.5/gm
- 10Jaylen WaddleMIA83364.1/gm
Touchdowns
receiving + rushing TDs
- 1Davante AdamsLAR141.1/gm
- 2Amon-Ra St. BrownDET90.7/gm
- 3Jaxon Smith-NjigbaSEA90.7/gm
- 4Tee HigginsCIN90.8/gm
- 5George PickensDAL80.6/gm
- 6Michael Pittman Jr.IND70.5/gm
- 7Puka NacuaLAR70.6/gm
- 8
Quentin JohnstonLAC70.6/gm - 9DK MetcalfPIT60.5/gm
- 10Jaylen WaddleMIA60.5/gm
Catch rate
receptions / targets (min 10 targets): efficiency, not volume
- 1
Savion WilliamsIRGB100%11 gms - 2
Greg DortchARI88%12 gms - 3Stefon DiggsNE81%13 gms
- 4
Brycen TremayneCAR80%12 gms - 5
Kalif RaymondDET79%11 gms - 6Puka NacuaLAR79%12 gms
- 7
Xavier SmithLAR79%12 gms - 8
JuJu Smith-SchusterKC77%13 gms - 9
Brandin CooksBUF77%12 gms - 10
Tre' HarrisLAC77%13 gms
Yards per touch
scrimmage yards per touch (min 10 touches): efficiency, not volume
- 1
Tyquan ThorntonKC23.017 vol - 2Alec PierceQUESTIONABLEIND20.238 vol
- 3
Tyler JohnsonNYJ18.710 vol - 4
Luke McCaffreyOUTWSH18.511 vol - 5
Chris MooreWSH18.311 vol - 6
Calvin RidleyTEN17.817 vol - 7
Christian WatsonGB17.526 vol - 8Jahan DotsonPHI17.412 vol
- 9
Kayshon BoutteNE16.629 vol - 10Jameson WilliamsDET16.051 vol
TD rate (per touch)
TDs per touch (min 10 touches): efficiency, not volume
- 1
Tory HortonOUTSEA39%8 gms - 2Luke McCaffreyOUTWSH27%9 gms
- 3Davante AdamsLAR25%13 gms
- 4
Tim PatrickIRJAX23%12 gms - 5Kayshon BoutteNE21%11 gms
- 6Tee HigginsCIN20%12 gms
- 7Christian WatsonGB19%7 gms
- 8Tyquan ThorntonKC18%13 gms
- 9
Tez JohnsonTB17%12 gms - 10
Roman WilsonPIT17%12 gms
PPR per snap (per-route proxy)
PPR points per offensive snap (min 100 snaps): per-SNAP proxy: routes run aren't in our data, so this stands in for FP per route run. Productivity independent of playing time
- 1Puka NacuaLAR0.5515 vol
- 2Jaxon Smith-NjigbaSEA0.5593 vol
- 3Rashee RiceKC0.4363 vol
- 4
DeMario DouglasNE0.4241 vol - 5Davante AdamsLAR0.4602 vol
- 6Tyreek HillMIA0.3155 vol
- 7Amon-Ra St. BrownDET0.3684 vol
- 8George PickensDAL0.3752 vol
- 9Stefon DiggsNE0.3467 vol
- 10Drake LondonATL0.3545 vol
Targets per snap (per-route proxy)
targets per offensive snap (min 100 snaps): per-SNAP proxy: routes run aren't in our data, so this stands in for targets per route run. Earning work independent of playing time
- 1Puka NacuaLAR23%12 gms
- 2Jaxon Smith-NjigbaSEA20%13 gms
- 3Ja'Marr ChaseCIN19%12 gms
- 4Keenan AllenLAC19%13 gms
- 5Tyreek HillMIA19%4 gms
- 6Rashee RiceKC19%7 gms
- 7
Mike EvansTB18%4 gms - 8Davante AdamsLAR17%13 gms
- 9Drake LondonATL17%9 gms
- 10CeeDee LambDAL17%10 gms
Boom-game rate (18+ PPR)
share of games with 18+ PPR points (min 8 games): elite-ceiling frequency, how often a player goes elite, not the season average
- 1Jaxon Smith-NjigbaSEA85%13 gms
- 2Puka NacuaLAR58%12 gms
- 3Drake LondonATL56%9 gms
- 4Amon-Ra St. BrownDET54%13 gms
- 5Ja'Marr ChaseCIN50%12 gms
- 6CeeDee LambDAL50%10 gms
- 7Davante AdamsLAR46%13 gms
- 8Michael Pittman Jr.IND39%13 gms
- 9Jameson WilliamsDET39%13 gms
- 10Deebo SamuelWSH33%12 gms
Elite game count (18+ PPR)
number of games with 18+ PPR points: how many times a player hit the weekly ceiling (per_game recovers the boom rate). Ranks by raw count — the @FantasyPtsData elite-game leaderboard, not the season average
- 1Jaxon Smith-NjigbaSEA110.8/gm
- 2Amon-Ra St. BrownDET70.5/gm
- 3Puka NacuaLAR70.6/gm
- 4Davante AdamsLAR60.5/gm
- 5Ja'Marr ChaseCIN60.5/gm
- 6Michael Pittman Jr.IND50.4/gm
- 7Jameson WilliamsDET50.4/gm
- 8CeeDee LambDAL50.5/gm
- 9Drake LondonATL50.6/gm
- 10Rashee RiceKC50.7/gm
3rd-down usage
3rd-down carries + targets: who's on the field and getting the ball on 3rd down
pbp
- 1Keenan AllenLAC403.1/gm
- 2Courtland SuttonDEN403.1/gm
- 3Wan'Dale RobinsonNYG382.9/gm
- 4Ja'Marr ChaseCIN363.0/gm
- 5Chris OlaveNO352.7/gm
- 6DeVonta SmithPHI342.8/gm
- 7Tetairoa McMillanCAR332.8/gm
- 8Davante AdamsLAR322.7/gm
- 9George PickensDAL312.4/gm
- 10Emeka EgbukaTB312.4/gm
3rd-down conversion rate
share of a player's 3rd-down touches that converted (min 8 attempts): efficiency, not volume
pbp
- 1Tyreek HillMIA80%4 gms
- 2Jalen CokerCAR80%4 gms
- 3DeMario DouglasNE70%8 gms
- 4
Marvin Harrison Jr.ARI69%8 gms - 5Christian WatsonGB67%7 gms
- 6
Pat BryantDEN67%6 gms - 7Tre' HarrisLAC67%6 gms
- 8JuJu Smith-SchusterKC63%7 gms
- 9
Adam ThielenPIT63%7 gms - 10George PickensDAL61%13 gms
Receiving first downs
Receptions that moved the chains (gained the yards to go) or scored: raw chain-moving volume on targets. Per-TARGET, not per-route: tank01 has no routes-run data, so this is the honest 1D/TGT stand-in for the routes-based 1D/RR (First Downs per Route Run), not 1D/RR itself (see FFM-1611).
pbp
- 1Jaxon Smith-NjigbaSEA644.9/gm
- 2George PickensDAL604.6/gm
- 3Puka NacuaLAR574.8/gm
- 4Ja'Marr ChaseCIN514.3/gm
- 5Davante AdamsLAR463.5/gm
- 6Tetairoa McMillanCAR453.5/gm
- 7Michael Pittman Jr.IND423.2/gm
- 8Jaylen WaddleMIA423.2/gm
- 9Keenan AllenLAC403.1/gm
- 10Courtland SuttonDEN403.1/gm
First downs per target (1D/TGT)
Share of a receiver's targets that convert to a first down (min 10 targets): route/target EFFECTIVENESS, not volume — the coming-week opportunity-quality signal @FantasyPtsData surfaces as 1D/RR. Per-TARGET, not per-route: tank01 has no routes-run data, so this is the honest 1D/TGT stand-in for the routes-based 1D/RR (First Downs per Route Run), not 1D/RR itself (see FFM-1611).
pbp
- 1Kayshon BoutteNE61%11 gms
- 2Tyreek HillMIA59%4 gms
- 3Jalen CokerCAR56%7 gms
- 4George PickensDAL54%13 gms
- 5
Kendrick BourneSF54%10 gms - 6Jaxon Smith-NjigbaSEA53%13 gms
- 7Christian WatsonGB53%7 gms
- 8Jameson WilliamsDET51%12 gms
- 9Pat BryantDEN50%10 gms
- 10
KaVontae TurpinDAL50%11 gms
Deep-target rate (proxy)
deep targets / total targets (min 10 targets): a deep-target PROXY, not aDOT
pbp
- 1Tyquan ThorntonKC74%10 gms
- 2
Kyle WilliamsNE54%10 gms - 3Luke McCaffreyOUTWSH53%7 gms
- 4Alec PierceQUESTIONABLEIND53%11 gms
- 5
Isaiah BondCLE51%11 gms - 6Kayshon BoutteNE50%11 gms
- 7
KhaDarel HodgeATL50%3 gms - 8Isaac TeSlaaDET46%9 gms
- 9
Jalin HyattNYG46%4 gms - 10Christian WatsonGB45%7 gms
Deep-target share (proxy)
player deep targets / team deep targets: a deep-target PROXY, not air-yards share
pbp
- 1Jaxon Smith-NjigbaSEA53%13 gms
- 2Jameson WilliamsDET49%12 gms
- 3Alec PierceQUESTIONABLEIND48%11 gms
- 4Tetairoa McMillanCAR46%13 gms
- 5Emeka EgbukaTB46%13 gms
- 6Zay FlowersQUESTIONABLEBAL44%13 gms
- 7Jaylen WaddleMIA43%13 gms
- 8
Troy FranklinDEN39%13 gms - 9Justin JeffersonMIN39%13 gms
- 10Chris OlaveNO38%13 gms
Opportunity Score (proxy)
1.5·target-share + 0.7·deep-target-share + 0.6·rush-share: an Opportunity PROXY, not WOPR
pbp
- 1Jaxon Smith-NjigbaSEA0.9213 gms
- 2Zay FlowersQUESTIONABLEBAL0.7513 gms
- 3Emeka EgbukaTB0.7213 gms
- 4Tetairoa McMillanCAR0.7213 gms
- 5Justin JeffersonMIN0.7013 gms
- 6Chris OlaveNO0.7013 gms
- 7Jameson WilliamsDET0.6912 gms
- 8A.J. BrownIRPHI0.6812 gms
- 9Ja'Marr ChaseCIN0.6812 gms
- 10Jaylen WaddleMIA0.6613 gms
QB deep-pass rate (proxy)
deep passes / tagged pass attempts (min 40 attempts) — a throw-depth PROXY, not aDOT
pbp
No data.
QB WR-target rate
share of a QB's targets thrown to WRs (min 50 pass attempts): high = a WR funnel that lifts every WR's floor
pbp
No data.
QB TE-target rate
share of a QB's targets thrown to TEs (min 50 pass attempts): high = a TE-heavy QB that crowds out WR2+ value
pbp
No data.
QB RB-target rate
share of a QB's targets thrown to RBs (min 50 pass attempts): high = a checkdown-heavy QB lifting pass-catching RBs
pbp
No data.
QB aDOT (air yards)
mean air yards per pass attempt: TRUE aDOT from nflverse (min 60 attempts). Row carries deep-rate (air yards ≥ 20) + a left/middle/right split.
nflverse
No data.
Receiver aDOT (air yards)
mean air yards per target: TRUE aDOT from nflverse (min 20 targets). Row carries air-yards share, YAC per reception + a left/middle/right split.
nflverse
- 1Tyquan ThorntonKC26.8210 gms
- 2Alec PierceQUESTIONABLEIND19.0411 gms
- 3Christian WatsonGB18.457 gms
- 4Adonai MitchellNYJ16.9112 gms
- 5
Dont'e Thornton Jr.IRLV15.889 gms - 6Malik NabersNYG15.864 gms
- 7Kayshon BoutteNE15.7611 gms
- 8Isaiah BondCLE15.4111 gms
- 9Tory HortonOUTSEA15.327 gms
- 10Jahan DotsonPHI15.2511 gms
Air-yards share
player air yards / team air yards: TRUE air-yards share from nflverse (min 20 targets).
nflverse
- 1Jaxon Smith-NjigbaSEA49%13 gms
- 2Jaylen WaddleMIA45%13 gms
- 3Tetairoa McMillanCAR43%13 gms
- 4DK MetcalfPIT41%13 gms
- 5Emeka EgbukaTB40%13 gms
- 6Justin JeffersonMIN39%13 gms
- 7Alec PierceQUESTIONABLEIND39%11 gms
- 8Chris OlaveNO39%13 gms
- 9Amon-Ra St. BrownDET38%13 gms
- 10A.J. BrownIRPHI36%12 gms
WOPR (Weighted Opportunity Rating)
WOPR = 0.8·air-yards share + 0.2·target share (min 20 targets): the REAL Weighted Opportunity Rating on TRUE nflverse air yards — a WR/TE opportunity score, not the tank01 deep-target opportunity_score stand-in. Both component shares are shown alongside the composite.
nflverse
- 1Jaxon Smith-NjigbaSEA0.4713 gms
- 2Jaylen WaddleMIA0.4113 gms
- 3Tetairoa McMillanCAR0.4013 gms
- 4DK MetcalfPIT0.3813 gms
- 5Emeka EgbukaTB0.3713 gms
- 6Justin JeffersonMIN0.3713 gms
- 7Chris OlaveNO0.3713 gms
- 8Amon-Ra St. BrownDET0.3613 gms
- 9A.J. BrownIRPHI0.3412 gms
- 10Alec PierceQUESTIONABLEIND0.3411 gms
Redzone touches
carries + targets inside the opponent's 20
pbp
- 1Davante AdamsLAR282.1/gm
- 2George PickensDAL191.5/gm
- 3Ja'Marr ChaseCIN181.5/gm
- 4Nico CollinsHOU171.4/gm
- 5Rashee RiceKC172.4/gm
- 6Troy FranklinDEN151.1/gm
- 7Keenan AllenLAC141.1/gm
- 8DK MetcalfPIT141.1/gm
- 9Tetairoa McMillanCAR141.1/gm
- 10Jakobi MeyersJAX141.2/gm
Redzone carries
carries inside the opponent's 20: goal-line rush role
pbp
- 1
DJ MooreCHI20.1/gm - 2Jakobi MeyersJAX20.2/gm
- 3Greg DortchARI20.2/gm
- 4Tez JohnsonTB20.2/gm
- 5
Marvin Mims Jr.DEN20.2/gm - 6
Ashton DulinIND20.2/gm - 7
Rashid ShaheedSEA10.1/gm - 8DK MetcalfPIT10.1/gm
- 9DeMario DouglasNE10.1/gm
- 10Tre TuckerLV10.1/gm
Redzone targets
targets inside the opponent's 20: redzone passing role
pbp
- 1Davante AdamsLAR282.1/gm
- 2George PickensDAL191.5/gm
- 3Ja'Marr ChaseCIN181.5/gm
- 4Rashee RiceKC172.4/gm
- 5Nico CollinsHOU161.3/gm
- 6Troy FranklinDEN151.1/gm
- 7Keenan AllenLAC141.1/gm
- 8Tetairoa McMillanCAR141.1/gm
- 9DK MetcalfPIT131.0/gm
- 10Jaxon Smith-NjigbaSEA131.0/gm
Inside-10 touches
carries + targets inside the opponent's 10
pbp
- 1Davante AdamsLAR201.5/gm
- 2Rashee RiceKC131.9/gm
- 3DK MetcalfPIT80.6/gm
- 4George PickensDAL80.6/gm
- 5Nico CollinsHOU80.7/gm
- 6Drake LondonATL80.9/gm
- 7Troy FranklinDEN70.5/gm
- 8Puka NacuaLAR70.6/gm
- 9Keenan AllenLAC60.5/gm
- 10Stefon DiggsNE60.5/gm
Goal-line touches
carries + targets inside the opponent's 5: TD range
pbp
- 1Davante AdamsLAR131.0/gm
- 2Rashee RiceKC71.0/gm
- 3DK MetcalfPIT60.5/gm
- 4Nico CollinsHOU50.4/gm
- 5Drake LondonATL50.6/gm
- 6Michael Pittman Jr.IND40.3/gm
- 7Jaylen WaddleMIA40.3/gm
- 8George PickensDAL40.3/gm
- 9Troy FranklinDEN40.3/gm
- 10Tee HigginsCIN40.3/gm
Goal-line carry share
player's share of the team's carries inside the opponent's 5 (min 3 carries): the rushing-TD opportunity signal
pbp
No data.
Redzone touch share
player's share of the team's redzone touches (min 3 touches)
pbp
- 1Rashee RiceKC23%7 gms
- 2Chimere DikeTEN19%13 gms
- 3Davante AdamsLAR19%13 gms
- 4Ja'Marr ChaseCIN18%12 gms
- 5Mike EvansTB17%4 gms
- 6
Terry McLaurinWSH17%6 gms - 7Drake LondonATL17%9 gms
- 8Jordan AddisonMIN17%10 gms
- 9Nico CollinsHOU16%12 gms
- 10Troy FranklinDEN14%13 gms
Redzone target share
player's share of the team's redzone targets (min 3 targets): passing TD-upside predictor
pbp
- 1Rashee RiceKC50%7 gms
- 2Drake LondonATL40%9 gms
- 3Terry McLaurinWSH37%6 gms
- 4A.J. BrownIRPHI34%12 gms
- 5Davante AdamsLAR33%13 gms
- 6Chimere DikeTEN32%13 gms
- 7Ja'Marr ChaseCIN30%12 gms
- 8Jaxon Smith-NjigbaSEA30%13 gms
- 9Deebo SamuelWSH29%12 gms
- 10Nico CollinsHOU29%12 gms
Redzone carry share
player's share of the team's redzone carries (min 3 carries): goal-line rush TD-upside predictor
pbp
No data.
Redzone targets allowed
targets a defense allows to the position inside its own 20: redzone matchup
pbp
- 1IINDdefensedefense493.8/gm
- 2BBALdefensedefense473.6/gm
- 3LLVdefensedefense433.3/gm
- 4DDETdefensedefense413.1/gm
- 5JJAXdefensedefense382.9/gm
- 6AARIdefensedefense362.8/gm
- 7SSEAdefensedefense352.7/gm
- 8LLARdefensedefense352.7/gm
- 9NNYGdefensedefense342.6/gm
- 10PPITdefensedefense332.5/gm
Redzone touches allowed
carries + targets a defense allows to the position inside its own 20
pbp
- 1IINDdefensedefense544.2/gm
- 2BBALdefensedefense483.7/gm
- 3LLVdefensedefense443.4/gm
- 4DDETdefensedefense423.2/gm
- 5JJAXdefensedefense382.9/gm
- 6LLARdefensedefense382.9/gm
- 7AARIdefensedefense362.8/gm
- 8SSEAdefensedefense352.7/gm
- 9NNYGdefensedefense352.7/gm
- 10PPITdefensedefense332.5/gm
Goal-line touches allowed
carries + targets a defense allows inside its own 5: TD range
pbp
- 1TTBdefensedefense120.9/gm
- 2JJAXdefensedefense120.9/gm
- 3IINDdefensedefense120.9/gm
- 4BBALdefensedefense110.8/gm
- 5WWSHdefensedefense110.8/gm
- 6LLVdefensedefense100.8/gm
- 7PPITdefensedefense100.8/gm
- 8NNYGdefensedefense90.7/gm
- 9DDETdefensedefense80.6/gm
- 10SSEAdefensedefense80.6/gm
3rd-down conversion allowed
share of the position's 3rd-down touches that convert against this defense (min 8 attempts): matchup efficiency, not volume
pbp
- 1WWSHdefensedefense56%13 gms
- 2CCINdefensedefense56%13 gms
- 3TTENdefensedefense55%13 gms
- 4IINDdefensedefense49%13 gms
- 5GGBdefensedefense47%13 gms
- 6CCARdefensedefense47%13 gms
- 7DDALdefensedefense46%13 gms
- 8LLVdefensedefense46%13 gms
- 9NNYGdefensedefense45%13 gms
- 10MMIAdefensedefense44%13 gms
Goal-line TDs
TDs scored from inside the 5 (true goal-line <=3): who converts in TD range
scoringplays
- 1Davante AdamsLAR90.7/gm
- 2
Romeo DoubsGB40.3/gm - 3Rashee RiceKC40.6/gm
- 4Michael Pittman Jr.IND30.2/gm
- 5Amon-Ra St. BrownDET30.2/gm
- 6Drake LondonATL30.3/gm
- 7Stefon DiggsNE20.1/gm
- 8DJ MooreCHI20.1/gm
- 9DK MetcalfPIT20.1/gm
- 10Jaylen WaddleMIA20.1/gm
Rushing TDs
rushing touchdowns from scoring plays (goal-line split)
scoringplays
- 1DJ MooreCHI10.1/gm
- 2DK MetcalfPIT10.1/gm
- 3Deebo SamuelWSH10.1/gm
- 4Greg DortchARI10.1/gm
- 5Nico CollinsHOU10.1/gm
- 6Puka NacuaLAR10.1/gm
- 7Marvin Mims Jr.DEN10.1/gm
- 8
Brian Thomas Jr.JAX10.1/gm - 9
Elijah MooreOUTBUF10.1/gm - 10Rashee RiceKC10.1/gm
Receiving TDs
receiving touchdowns from scoring plays (goal-line split)
scoringplays
- 1Davante AdamsLAR141.1/gm
- 2Amon-Ra St. BrownDET90.7/gm
- 3Jaxon Smith-NjigbaSEA90.7/gm
- 4Tee HigginsCIN90.8/gm
- 5George PickensDAL80.6/gm
- 6Michael Pittman Jr.IND70.5/gm
- 7Quentin JohnstonLAC70.6/gm
- 8Jaylen WaddleMIA60.5/gm
- 9Jameson WilliamsDET60.5/gm
- 10Emeka EgbukaTB60.5/gm
Passing TDs
touchdown passes thrown (from scoring plays): QB scoring
scoringplays
- 1DJ MooreCHI10.1/gm
- 2
Gunner OlszewskiIRNYG10.1/gm
Total EPA (our EP)
sum of play EPA from our play-by-play EP model: total value created
our EP (play-by-play)
- 1Puka NacuaLAR+91.312 gms
- 2Jaxon Smith-NjigbaSEA+73.513 gms
- 3George PickensDAL+66.813 gms
- 4DeVonta SmithPHI+46.413 gms
- 5Tee HigginsCIN+42.612 gms
- 6Courtland SuttonDEN+42.413 gms
- 7Jaylen WaddleMIA+41.913 gms
- 8Alec PierceQUESTIONABLEIND+40.911 gms
- 9Stefon DiggsNE+38.813 gms
- 10Zay FlowersQUESTIONABLEBAL+35.513 gms
EPA / rush (our EP)
rushing EPA per carry from our EP model
our EP (play-by-play)
No data.
EPA / target (our EP)
receiving EPA per target from our EP model
our EP (play-by-play)
- 1Kayshon BoutteNE+0.8938 vol
- 2Christian WatsonGB+0.7638 vol
- 3Puka NacuaLAR+0.71118 vol
- 4Alec PierceQUESTIONABLEIND+0.6266 vol
- 5Tyquan ThorntonKC+0.6034 vol
- 6George PickensDAL+0.60112 vol
- 7Jaxon Smith-NjigbaSEA+0.59121 vol
- 8Tyreek HillMIA+0.5729 vol
- 9DeMario DouglasNE+0.5739 vol
- 10Jameson WilliamsDET+0.5663 vol
TDs over expected (sell-high)
actual minus opportunity-based expected TDs: positive = TD-lucky, a regression-DOWN watch. Descriptive (expected TDs), not a start/sit call.
opportunity-based (play-by-play)
- 1Tee HigginsCIN+5.09 TD · 4.0 xTD
- 2Jaxon Smith-NjigbaSEA+4.59 TD · 4.5 xTD
- 3Kayshon BoutteNE+4.36 TD · 1.7 xTD
- 4Jameson WilliamsDET+4.36 TD · 1.7 xTD
- 5Christian WatsonGB+3.85 TD · 1.3 xTD
- 6Tory HortonOUTSEA+3.55 TD · 1.5 xTD
- 7Quentin JohnstonLAC+3.17 TD · 3.9 xTD
- 8Garrett WilsonNYJ+2.44 TD · 1.6 xTD
- 9
DeAndre HopkinsBAL+2.43 TD · 0.6 xTD - 10Davante AdamsLAR+2.413 TD · 10.6 xTD
TDs under expected (buy-low)
actual minus opportunity-based expected TDs: negative = due for positive TD regression, a buy-low. Descriptive (expected TDs), not a start/sit call.
opportunity-based (play-by-play)
- 1Justin JeffersonMIN-2.81 TD · 3.8 xTD
- 2
Jalen NailorMIN-2.21 TD · 3.2 xTD - 3
Ricky PearsallIRSF-1.90 TD · 1.9 xTD - 4Isaiah BondCLE-1.80 TD · 1.8 xTD
- 5Zay FlowersQUESTIONABLEBAL-1.71 TD · 2.7 xTD
- 6Terry McLaurinWSH-1.51 TD · 2.5 xTD
- 7Rashee RiceKC-1.55 TD · 6.5 xTD
- 8Romeo DoubsGB-1.42 TD · 3.4 xTD
- 9
Malik WashingtonMIA-1.42 TD · 3.4 xTD - 10JuJu Smith-SchusterKC-1.41 TD · 2.4 xTD
Expected fantasy points (xFP)
every carry / target / pass attempt valued at the league PPR rate for its field zone + down, summed: opportunity volume x quality, not production. Descriptive, not a projection.
opportunity-valued (play-by-play)
- 1Ja'Marr ChaseCIN230.8712 gms
- 2Jaxon Smith-NjigbaSEA203.0313 gms
- 3Davante AdamsLAR201.1413 gms
- 4Puka NacuaLAR200.0712 gms
- 5Chris OlaveNO197.8913 gms
- 6George PickensDAL192.9013 gms
- 7Emeka EgbukaTB181.1713 gms
- 8Nico CollinsHOU178.7312 gms
- 9Justin JeffersonMIN177.7213 gms
- 10Wan'Dale RobinsonNYG176.0813 gms
xFP per game
opportunity-based expected PPR points divided by games played: the size of the weekly role, independent of missed weeks. Descriptive, not a projection.
opportunity-valued (play-by-play)
- 1Ja'Marr ChaseCIN19.2412 gms
- 2Rashee RiceKC18.537 gms
- 3Drake LondonATL17.909 gms
- 4Puka NacuaLAR16.6712 gms
- 5Jaxon Smith-NjigbaSEA15.6213 gms
- 6Davante AdamsLAR15.4713 gms
- 7Chris OlaveNO15.2213 gms
- 8Malik NabersNYG15.214 gms
- 9CeeDee LambDAL15.0410 gms
- 10Nico CollinsHOU14.8912 gms
xFP per snap (per-route proxy)
opportunity-based expected PPR points per offensive snap (min 100 snaps): per-SNAP proxy — routes run aren't in our data, so this stands in for XFP per route run. Opportunity quality independent of playing time. Descriptive, not a projection.
opportunity-valued (play-by-play)
- 1Puka NacuaLAR0.3912 gms
- 2Rashee RiceKC0.367 gms
- 3Jaxon Smith-NjigbaSEA0.3413 gms
- 4Davante AdamsLAR0.3313 gms
- 5Keenan AllenLAC0.3213 gms
- 6Ja'Marr ChaseCIN0.3212 gms
- 7Tyreek HillMIA0.314 gms
- 8Mike EvansTB0.304 gms
- 9Drake LondonATL0.309 gms
- 10DeMario DouglasNE0.3013 gms
PPR over xFP (sell-high)
actual box-score PPR minus opportunity-based expected fantasy points (xFP values every carry / target / pass attempt at the league rate for its field zone + down; excludes 2-pt conversions and return TDs). Positive = producing ABOVE the opportunity curve: efficiency or luck; a regression-DOWN watch. Descriptive, not a start/sit call.
opportunity-valued (play-by-play)
- 1Jaxon Smith-NjigbaSEA+84.4287.4 FP · 203.0 xFP
- 2Jameson WilliamsDET+59.2162.4 FP · 103.2 xFP
- 3Puka NacuaLAR+58.8258.9 FP · 200.1 xFP
- 4George PickensDAL+53.0245.9 FP · 192.9 xFP
- 5Kayshon BoutteNE+49.2113.1 FP · 63.9 xFP
- 6Christian WatsonGB+38.8100.5 FP · 61.7 xFP
- 7Tee HigginsCIN+30.1168.7 FP · 138.6 xFP
- 8Jaylen WaddleMIA+29.3176.6 FP · 147.3 xFP
- 9Michael Pittman Jr.IND+24.1182.9 FP · 158.8 xFP
- 10Tory HortonOUTSEA+21.559.1 FP · 37.6 xFP
PPR under xFP (buy-low)
actual box-score PPR minus opportunity-based expected fantasy points (xFP values every carry / target / pass attempt at the league rate for its field zone + down; excludes 2-pt conversions and return TDs). Negative = producing BELOW the opportunity curve: due for positive regression; a buy-low watch. Descriptive, not a start/sit call.
opportunity-valued (play-by-play)
- 1Jerry JeudyCLE-39.697.7 FP · 137.3 xFP
- 2
Darnell MooneyATL-28.460.9 FP · 89.3 xFP - 3Isaiah BondCLE-28.036.5 FP · 64.5 xFP
- 4Elic AyomanorTEN-22.983.3 FP · 106.2 xFP
- 5Chimere DikeTEN-21.780.2 FP · 101.9 xFP
- 6Justin JeffersonMIN-20.3157.4 FP · 177.7 xFP
- 7Dont'e Thornton Jr.IRLV-19.120.3 FP · 39.4 xFP
- 8Mike EvansTB-18.634 FP · 52.6 xFP
- 9Adonai MitchellNYJ-18.558 FP · 76.5 xFP
- 10Christian KirkIRHOU-17.648.4 FP · 66.0 xFP
Leaderboards are descriptive. For accountable start/sit calls, see Calls.