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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 17, 2025Point-in-time: aggregates Weeks 1–17 only. Uses no game after Week 17.
89 players · 5 metrics · click a column to sort
Stat leaders
89 players
Stat leaders
89 players
TeamBUFGames16Opportunities112Snap share98%Target share0%Fantasy points (PPR)365Opportunity Score (proxy)·
TeamPHIGames16Opportunities105Snap share98%Target share0%Fantasy points (PPR)299Opportunity Score (proxy)·
TeamNEGames16Opportunities99Snap share97%Target share0%Fantasy points (PPR)336Opportunity Score (proxy)0.13
TeamLACGames16Opportunities83Snap share97%Target share0%Fantasy points (PPR)287Opportunity Score (proxy)·
TeamNYGGames13Opportunities81Snap share·Target share·Fantasy points (PPR)221Opportunity Score (proxy)·
TeamJAXGames16Opportunities80Snap share98%Target share0%Fantasy points (PPR)315Opportunity Score (proxy)·
TeamCHIGames16Opportunities78Snap share99%Target share0%Fantasy points (PPR)302Opportunity Score (proxy)0.09
Bo NixQBTeamDENGames16Opportunities76Snap share100%Target share0%Fantasy points (PPR)294Opportunity Score (proxy)0.11
TeamNYJGames9Opportunities72Snap share·Target share0%Fantasy points (PPR)·Opportunity Score (proxy)0.10
TeamKCGames14Opportunities65Snap share97%Target share0%Fantasy points (PPR)286Opportunity Score (proxy)0.10
TeamNOGames12Opportunities65Snap share·Target share3%Fantasy points (PPR)·Opportunity Score (proxy)0.11
TeamBALGames12Opportunities63Snap share·Target share·Fantasy points (PPR)194Opportunity Score (proxy)·
TeamCARGames15Opportunities52Snap share97%Target share0%Fantasy points (PPR)202Opportunity Score (proxy)·
TeamDALGames16Opportunities51Snap share98%Target share0%Fantasy points (PPR)313Opportunity Score (proxy)·
TeamTBGames16Opportunities51Snap share97%Target share0%Fantasy points (PPR)259Opportunity Score (proxy)·
TeamWSHGames11Opportunities50Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamGBGames15Opportunities47Snap share94%Target share0%Fantasy points (PPR)235Opportunity Score (proxy)·
TeamHOUGames13Opportunities46Snap share·Target share·Fantasy points (PPR)197Opportunity Score (proxy)·
TeamINDGames13Opportunities45Snap share·Target share·Fantasy points (PPR)226Opportunity Score (proxy)·
TeamLVGames15Opportunities41Snap share97%Target share0%Fantasy points (PPR)174Opportunity Score (proxy)·
Cam WardQBTeamTENGames16Opportunities37Snap share100%Target share0%Fantasy points (PPR)178Opportunity Score (proxy)·
Kyler MurrayQBQUESTIONABLETeamARIGames5Opportunities·Snap share99%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 17, 2025
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Kyle WilliamsWR NE | +2.01 | 85%from 44% | 3 wk30 snaps |
| 2 |  Parker WashingtonWR JAX | +1.97 | 81%from 61% | 3 wk41 snaps |
| 3 |  Dont'e Thornton Jr.WR LV | +1.83 | 78%from 35% | 3 wk19 snaps |
| 4 |  Marquez Valdes-ScantlingWR PIT | +1.71 | 82%from 52% | 4 wk34 snaps |
| 5 |  Kevin Austin Jr.WR NO | +1.45 | 81%from 52% | 4 wk35 snaps |
| 6 |  Scotty MillerWRPIT | +1.36 | 64%from 25% | 4 wk17 snaps |
| 7 |  Mason TiptonWRNO | +1.22 | 50%from 58% | 3 wk40 snaps |
| 8 |  Konata MumpfieldWR LAR | +1.18 | 66%from 51% | 4 wk37 snaps |
| 9 |  Jahdae WalkerWR CHI | +1.14 | 62%from 31% | 3 wk20 snaps |
| 10 |  Chris OlaveWRNO | +1.09 | 91%from 87% | 4 wk56 snaps |
| 11 |  Dante PettisWRNO | +1.05 | 69%from 23% | 4 wk13 snaps |
| 12 |  Treylon BurksWR WSH | +1.00 | 91%from 64% | 4 wk33 snaps |
| 13 |  Xavier SmithWRLAR | +0.96 | 51%from 27% | 4 wk20 snaps |
| 14 |  Cedrick Wilson Jr.WR MIA | +0.94 | 69%from 41% | 4 wk23 snaps |
| 15 |  Jalen McMillanWR TB | +0.87 | 52%from 50% | 3 wk34 snaps |
| 16 |  Quentin JohnstonWR LAC | +0.86 | 75%from 70% | 3 wk47 snaps |
| 17 |  Adam ThielenWRPIT | +0.76 | 86%from 59% | 4 wk38 snaps |
| 18 |  JuJu Smith-SchusterWR KC | +0.71 | 81%from 66% | 4 wk33 snaps |
| 19 |  Wan'Dale RobinsonWR NYG | +0.69 | 75%from 91% | 3 wk57 snaps |
| 20 |  Brandin CooksWR BUF | +0.68 | 51%from 36% | 4 wk25 snaps |
| 21 |  Khalil ShakirWRBUF | +0.67 | 78%from 61% | 4 wk41 snaps |
| 22 |  Stefon DiggsWRNE | +0.67 | 52%from 54% | 3 wk35 snaps |
| 23 |  James Proche IIWR TEN | +0.63 | 54%from 33% | 4 wk22 snaps |
| 24 |  Elic AyomanorWRTEN | +0.61 | 81%from 75% | 4 wk49 snaps |
WR · Risers
As of Week 17, 2025
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.01
- Now
- 85%from 44%
- Window
- 3 wk30 snaps
- Momentum (z/wk)
- +1.97
- Now
- 81%from 61%
- Window
- 3 wk41 snaps
- Momentum (z/wk)
- +1.83
- Now
- 78%from 35%
- Window
- 3 wk19 snaps
- Momentum (z/wk)
- +1.71
- Now
- 82%from 52%
- Window
- 4 wk34 snaps
- Momentum (z/wk)
- +1.45
- Now
- 81%from 52%
- Window
- 4 wk35 snaps
- Momentum (z/wk)
- +1.36
- Now
- 64%from 25%
- Window
- 4 wk17 snaps
- Momentum (z/wk)
- +1.22
- Now
- 50%from 58%
- Window
- 3 wk40 snaps
- Momentum (z/wk)
- +1.18
- Now
- 66%from 51%
- Window
- 4 wk37 snaps
- Momentum (z/wk)
- +1.14
- Now
- 62%from 31%
- Window
- 3 wk20 snaps
- Momentum (z/wk)
- +1.09
- Now
- 91%from 87%
- Window
- 4 wk56 snaps
- Momentum (z/wk)
- +1.05
- Now
- 69%from 23%
- Window
- 4 wk13 snaps
- Momentum (z/wk)
- +1.00
- Now
- 91%from 64%
- Window
- 4 wk33 snaps
- Momentum (z/wk)
- +0.96
- Now
- 51%from 27%
- Window
- 4 wk20 snaps
- Momentum (z/wk)
- +0.94
- Now
- 69%from 41%
- Window
- 4 wk23 snaps
- Momentum (z/wk)
- +0.87
- Now
- 52%from 50%
- Window
- 3 wk34 snaps
- Momentum (z/wk)
- +0.86
- Now
- 75%from 70%
- Window
- 3 wk47 snaps
- Momentum (z/wk)
- +0.76
- Now
- 86%from 59%
- Window
- 4 wk38 snaps
- Momentum (z/wk)
- +0.71
- Now
- 81%from 66%
- Window
- 4 wk33 snaps
- Momentum (z/wk)
- +0.69
- Now
- 75%from 91%
- Window
- 3 wk57 snaps
- Momentum (z/wk)
- +0.68
- Now
- 51%from 36%
- Window
- 4 wk25 snaps
- Momentum (z/wk)
- +0.67
- Now
- 78%from 61%
- Window
- 4 wk41 snaps
- Momentum (z/wk)
- +0.67
- Now
- 52%from 54%
- Window
- 3 wk35 snaps
- Momentum (z/wk)
- +0.63
- Now
- 54%from 33%
- Window
- 4 wk22 snaps
- Momentum (z/wk)
- +0.61
- Now
- 81%from 75%
- Window
- 4 wk49 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 RobinsonWRNYG | 31%47% | +17 | 2 |
| 4 |  Jaxon Smith-NjigbaWR SEA | 26%40% | +13 | 3 |
| 5 | Marquez Valdes-ScantlingWRPIT | 3%16% | +13 | 3 |
| 6 |  Brashard SmithRBKC | 0%13% | +13 | 3 |
| 7 | Chris OlaveWRNO | 25%37% | +13 | 2 |
| 8 |  Christian McCaffreyRB SF | 11%24% | +13 | 3 |
| 9 |  Justin JeffersonWR MIN | 24%36% | +12 | 3 |
| 10 | Elic AyomanorWRTEN | 10%22% | +12 | 3 |
| 11 | Kevin Austin Jr.WRNO | 5%17% | +12 | 3 |
| 12 |  Jake TongesTESF | 0%12% | +12 | 3 |
| 13 |  Colston 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 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 17, 2025
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 563.5/gm | 35% | 7.1 |
| 2 |  Courtland SuttonWR DEN | 543.4/gm | 31% | 9.3 |
| 3 |  Tetairoa McMillanWR CAR | 493.1/gm | 36% | 6.7 |
| 4 |  Keenan AllenWRLAC | 462.9/gm | 32% | 8.0 |
| 5 |  Ja'Marr ChaseWR CIN | 463.1/gm | 30% | 8.7 |
| 6 | Chris OlaveWRNO | 452.8/gm | 31% | 7.6 |
| 7 |  Puka NacuaWRLAR | 442.9/gm | 31% | 8.8 |
| 8 |  George PickensWR DAL | 412.7/gm | 24% | 11.3 |
| 9 | Jerry JeudyWRCLE | 402.7/gm | 27% | 4.8 |
| 10 |  DeVonta SmithWR PHI | 402.7/gm | 34% | 10.2 |
| 11 |  Josh DownsWR IND | 392.6/gm | 31% | 5.9 |
| 12 | Jaxon Smith-NjigbaWRSEA | 392.6/gm | 33% | 9.6 |
| 13 | Stefon DiggsWRNE | 382.4/gm | 28% | 8.7 |
| 14 |  Zay FlowersWR BAL | 372.6/gm | 30% | 7.3 |
| 15 |  A.J. BrownWRPHI | 372.9/gm | 31% | 9.8 |
| 16 | Khalil ShakirWRBUF | 362.8/gm | 28% | 7.4 |
| 17 |  Jakobi MeyersWRJAX | 352.5/gm | 25% | 6.4 |
| 18 |  Davante AdamsWRLAR | 352.7/gm | 25% | 5.2 |
| 19 | Justin JeffersonWRMIN | 342.6/gm | 29% | 7.7 |
| 20 |  CeeDee LambWRDAL | 342.8/gm | 20% | 9.2 |
| 21 |  Jauan JenningsWRSF | 332.4/gm | 22% | 8.2 |
| 22 |  Emeka EgbukaWRTB | 332.4/gm | 24% | 7.0 |
| 23 |  Nico CollinsWRHOU | 332.4/gm | 22% | 7.3 |
| 24 |  Jameson WilliamsWR DET | 312.4/gm | 30% | 10.2 |
WR · Money downs (3rd+4th)
As of Week 17, 2025
- Money-down targets
- 563.5/gm
- Money-down target share
- 35%
- Money-down yards / target
- 7.1
- Money-down targets
- 543.4/gm
- Money-down target share
- 31%
- Money-down yards / target
- 9.3
- Money-down targets
- 493.1/gm
- Money-down target share
- 36%
- Money-down yards / target
- 6.7
- Money-down targets
- 462.9/gm
- Money-down target share
- 32%
- Money-down yards / target
- 8.0
- Money-down targets
- 463.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 8.7
- Money-down targets
- 452.8/gm
- Money-down target share
- 31%
- Money-down yards / target
- 7.6
- Money-down targets
- 442.9/gm
- Money-down target share
- 31%
- Money-down yards / target
- 8.8
- Money-down targets
- 412.7/gm
- Money-down target share
- 24%
- Money-down yards / target
- 11.3
- Money-down targets
- 402.7/gm
- Money-down target share
- 27%
- Money-down yards / target
- 4.8
- Money-down targets
- 402.7/gm
- Money-down target share
- 34%
- Money-down yards / target
- 10.2
- Money-down targets
- 392.6/gm
- Money-down target share
- 31%
- Money-down yards / target
- 5.9
- Money-down targets
- 392.6/gm
- Money-down target share
- 33%
- Money-down yards / target
- 9.6
- Money-down targets
- 382.4/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.7
- Money-down targets
- 372.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 7.3
- Money-down targets
- 372.9/gm
- Money-down target share
- 31%
- Money-down yards / target
- 9.8
- Money-down targets
- 362.8/gm
- Money-down target share
- 28%
- Money-down yards / target
- 7.4
- Money-down targets
- 352.5/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.4
- Money-down targets
- 352.7/gm
- Money-down target share
- 25%
- Money-down yards / target
- 5.2
- Money-down targets
- 342.6/gm
- Money-down target share
- 29%
- Money-down yards / target
- 7.7
- Money-down targets
- 342.8/gm
- Money-down target share
- 20%
- Money-down yards / target
- 9.2
- Money-down targets
- 332.4/gm
- Money-down target share
- 22%
- Money-down yards / target
- 8.2
- Money-down targets
- 332.4/gm
- Money-down target share
- 24%
- Money-down yards / target
- 7.0
- Money-down targets
- 332.4/gm
- Money-down target share
- 22%
- Money-down yards / target
- 7.3
- Money-down targets
- 312.4/gm
- Money-down target share
- 30%
- Money-down yards / target
- 10.2
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 17, 2025
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Jaxon Smith-NjigbaWRSEA | 37% | 77% | 16 |
| 2 |  Garrett WilsonWR NYJ | 36% | 87% | 7 |
| 3 | Ja'Marr ChaseWRCIN | 33% | 94% | 15 |
| 4 |  Amon-Ra St. BrownWRDET | 31% | 85% | 16 |
| 5 | Justin JeffersonWRMIN | 30% | 95% | 16 |
| 6 | Wan'Dale RobinsonWRNYG | 30% | 91% | 16 |
| 7 | Puka NacuaWRLAR | 30% | 68% | 15 |
| 8 |  Drake LondonWR ATL | 30% | 90% | 11 |
| 9 | Zay FlowersWRBAL | 30% | 86% | 16 |
| 10 | Chris OlaveWRNO | 29% | 84% | 16 |
| 11 |  Rashee RiceWRKC | 29% | 75% | 8 |
| 12 | A.J. BrownWRPHI | 29% | 91% | 15 |
| 13 |  Malik NabersWRNYG | 27% | 80% | 4 |
| 14 |  Mike EvansWRTB | 26% | 64% | 7 |
| 15 | Tetairoa McMillanWRCAR | 26% | 87% | 16 |
| 16 | DeVonta SmithWRPHI | 25% | 89% | 16 |
| 17 | CeeDee LambWRDAL | 25% | 75% | 13 |
| 18 |  Deebo SamuelWRWSH | 25% | 72% | 15 |
| 19 | Davante AdamsWRLAR | 25% | 71% | 14 |
| 20 |  Tyreek HillWRMIA | 25% | 69% | 4 |
| 21 | Emeka EgbukaWRTB | 24% | 79% | 16 |
| 22 | Nico CollinsWRHOU | 24% | 77% | 15 |
| 23 | George PickensWRDAL | 24% | 83% | 16 |
| 24 |  Jaylen WaddleWRMIA | 24% | 78% | 16 |
WR · target share
As of Week 17, 2025
- Target share
- 37%
- Snap share (on-field participation)
- 77%
- Games
- 16
- Target share
- 36%
- Snap share (on-field participation)
- 87%
- Games
- 7
- Target share
- 33%
- Snap share (on-field participation)
- 94%
- Games
- 15
- Target share
- 31%
- Snap share (on-field participation)
- 85%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 95%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 91%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 68%
- Games
- 15
- Target share
- 30%
- Snap share (on-field participation)
- 90%
- Games
- 11
- Target share
- 30%
- Snap share (on-field participation)
- 86%
- Games
- 16
- Target share
- 29%
- Snap share (on-field participation)
- 84%
- Games
- 16
- Target share
- 29%
- Snap share (on-field participation)
- 75%
- Games
- 8
- Target share
- 29%
- Snap share (on-field participation)
- 91%
- Games
- 15
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 4
- Target share
- 26%
- Snap share (on-field participation)
- 64%
- Games
- 7
- Target share
- 26%
- Snap share (on-field participation)
- 87%
- Games
- 16
- Target share
- 25%
- Snap share (on-field participation)
- 89%
- Games
- 16
- Target share
- 25%
- Snap share (on-field participation)
- 75%
- Games
- 13
- Target share
- 25%
- Snap share (on-field participation)
- 72%
- Games
- 15
- Target share
- 25%
- Snap share (on-field participation)
- 71%
- Games
- 14
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 4
- Target share
- 24%
- Snap share (on-field participation)
- 79%
- Games
- 16
- Target share
- 24%
- Snap share (on-field participation)
- 77%
- Games
- 15
- Target share
- 24%
- Snap share (on-field participation)
- 83%
- Games
- 16
- Target share
- 24%
- Snap share (on-field participation)
- 78%
- Games
- 16
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: QB top 10
Opportunities
carries + targets: total volume, who's getting fed
- 1
Josh AllenBUF1127.0/gm - 2
Jalen HurtsPHI1056.6/gm - 3
Drake MayeNE996.2/gm - 4
Justin HerbertLAC835.2/gm - 5
Jaxson DartNYG816.2/gm - 6
Trevor LawrenceJAX805.0/gm - 7
Caleb WilliamsCHI784.9/gm - 8Bo NixDEN764.8/gm
- 9
Justin FieldsNYJ728.0/gm - 10
Patrick MahomesKC654.6/gm
Snap share
share of offensive snaps: on-field role
- 1Cam WardTEN100%16 gms
- 2Bo NixDEN100%16 gms
- 3Caleb WilliamsCHI99%16 gms
- 4Kyler MurrayQUESTIONABLEARI99%5 gms
- 5
Matthew StaffordLAR99%16 gms - 6
Jared GoffDET98%16 gms - 7Josh AllenBUF98%16 gms
- 8
Dak PrescottDAL98%16 gms - 9Jalen HurtsPHI98%16 gms
- 10Trevor LawrenceJAX98%16 gms
Target share
share of team targets: passing-game role
- 1
Taysom HillNO3%12 gms - 2
Anthony Richardson Sr.IND2%2 gms - 3
Quinn EwersOUTMIA2%3 gms - 4
Jameis WinstonNYG1%3 gms - 5
Spencer RattlerNO1%9 gms - 6Caleb WilliamsCHI0%16 gms
- 7Justin FieldsNYJ0%9 gms
- 8Bo NixDEN0%16 gms
- 9
Aaron RodgersPIT0%15 gms - 10Patrick MahomesKC0%14 gms
Fantasy points (PPR)
PPR fantasy points: the headline scoring leaderboard
- 1Josh AllenBUF36522.8/gm
- 2Drake MayeNE33621.0/gm
- 3Matthew StaffordLAR32420.2/gm
- 4Trevor LawrenceJAX31519.7/gm
- 5Dak PrescottDAL31319.6/gm
- 6Caleb WilliamsCHI30218.9/gm
- 7Jalen HurtsPHI29918.7/gm
- 8Bo NixDEN29418.4/gm
- 9Justin HerbertLAC28717.9/gm
- 10Patrick MahomesKC28620.4/gm
Receptions
catches: PPR's core currency
- 1Taysom HillNO80.7/gm
- 2Caleb WilliamsCHI20.1/gm
- 3Drake MayeNE10.1/gm
- 4Aaron RodgersPIT10.1/gm
- 5Patrick MahomesKC10.1/gm
- 6Spencer RattlerNO10.1/gm
- 7Jameis WinstonNYG10.3/gm
- 8Quinn EwersOUTMIA10.3/gm
- 9Anthony Richardson Sr.IND10.5/gm
- 10Matthew StaffordLAR00.0/gm
Yards from scrimmage
receiving + rushing yards
- 1Josh AllenBUF57936.2/gm
- 2Justin HerbertLAC49831.1/gm
- 3Jaxson DartNYG45535.0/gm
- 4Jalen HurtsPHI42126.3/gm
- 5Patrick MahomesKC41229.4/gm
- 6Drake MayeNE41125.7/gm
- 7Caleb WilliamsCHI40925.6/gm
- 8Justin FieldsNYJ38342.6/gm
- 9
Baker MayfieldTB35121.9/gm - 10Trevor LawrenceJAX34821.8/gm
Touchdowns
receiving + rushing TDs
- 1Josh AllenBUF140.9/gm
- 2Trevor LawrenceJAX90.6/gm
- 3Jaxson DartNYG90.7/gm
- 4Jalen HurtsPHI80.5/gm
- 5Bo NixDEN50.3/gm
- 6Patrick MahomesKC50.4/gm
- 7
Daniel JonesIND50.4/gm - 8Drake MayeNE40.3/gm
- 9Caleb WilliamsCHI40.3/gm
- 10Justin FieldsNYJ40.4/gm
Catch rate
receptions / targets (min 10 targets): efficiency, not volume
- 1Taysom HillNO62%12 gms
Yards per touch
scrimmage yards per touch (min 10 touches): efficiency, not volume
- 1
Shedeur SandersCLE7.918 vol - 2Baker MayfieldTB6.951 vol
- 3Patrick MahomesKC6.365 vol
- 4
Tyler HuntleyBAL6.324 vol - 5
Dillon GabrielIRCLE6.114 vol - 6Justin HerbertLAC6.083 vol
- 7Kyler MurrayQUESTIONABLEARI6.029 vol
- 8
Marcus MariotaWSH5.950 vol - 9
Russell WilsonNYG5.918 vol - 10Jaxson DartNYG5.681 vol
TD rate (per touch)
TDs per touch (min 10 touches): efficiency, not volume
- 1Josh AllenBUF13%16 gms
- 2
J.J. McCarthyOUTMIN11%9 gms - 3Trevor LawrenceJAX11%16 gms
- 4Jaxson DartNYG11%13 gms
- 5Daniel JonesIND11%13 gms
- 6
Brock PurdySF10%8 gms - 7
Malik WillisGB9%4 gms - 8
Kirk CousinsATL9%9 gms - 9
Davis MillsHOU8%5 gms - 10Patrick MahomesKC8%14 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
- 1Josh AllenBUF0.41033 vol
- 2Drake MayeNE0.31005 vol
- 3Brock PurdySF0.3534 vol
- 4Jaxson DartNYG0.3699 vol
- 5Matthew StaffordLAR0.31045 vol
- 6Jalen HurtsPHI0.3965 vol
- 7Patrick MahomesKC0.3934 vol
- 8Daniel JonesIND0.3756 vol
- 9
Lamar JacksonBAL0.3651 vol - 10Trevor LawrenceJAX0.31064 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
- 1Taysom HillNO7%12 gms
- 2Quinn EwersOUTMIA1%3 gms
- 3Jameis WinstonNYG1%3 gms
- 4Spencer RattlerNO0%9 gms
- 5Caleb WilliamsCHI0%16 gms
- 6Justin FieldsNYJ0%9 gms
- 7Bo NixDEN0%16 gms
- 8Drake MayeNE0%16 gms
- 9Patrick MahomesKC0%14 gms
- 10Aaron RodgersPIT0%15 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
- 1
Jacoby BrissettARI69%13 gms - 2Dak PrescottDAL69%16 gms
- 3Josh AllenBUF69%16 gms
- 4Drake MayeNE69%16 gms
- 5Jalen HurtsPHI63%16 gms
- 6Jaxson DartNYG62%13 gms
- 7Patrick MahomesKC57%14 gms
- 8Matthew StaffordLAR56%16 gms
- 9Trevor LawrenceJAX56%16 gms
- 10Caleb WilliamsCHI56%16 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
- 1Dak PrescottDAL110.7/gm
- 2Josh AllenBUF110.7/gm
- 3Drake MayeNE110.7/gm
- 4Jalen HurtsPHI100.6/gm
- 5Matthew StaffordLAR90.6/gm
- 6Trevor LawrenceJAX90.6/gm
- 7Caleb WilliamsCHI90.6/gm
- 8Jacoby BrissettARI90.7/gm
- 9Patrick MahomesKC80.6/gm
- 10Jaxson DartNYG80.6/gm
3rd-down usage
3rd-down carries + targets: who's on the field and getting the ball on 3rd down
pbp
- 1Josh AllenBUF382.5/gm
- 2Jalen HurtsPHI332.4/gm
- 3Justin HerbertLAC282.1/gm
- 4Trevor LawrenceJAX271.9/gm
- 5Baker MayfieldTB272.1/gm
- 6Jaxson DartNYG262.6/gm
- 7Justin FieldsNYJ243.0/gm
- 8Drake MayeNE222.0/gm
- 9Bo NixDEN211.6/gm
- 10Caleb WilliamsCHI201.8/gm
3rd-down conversion rate
share of a player's 3rd-down touches that converted (min 8 attempts): efficiency, not volume
pbp
- 1Spencer RattlerNO90%6 gms
- 2Justin HerbertLAC78%13 gms
- 3
Mac JonesSF78%9 gms - 4Trevor LawrenceJAX77%14 gms
- 5Baker MayfieldTB77%13 gms
- 6Josh AllenBUF75%15 gms
- 7Jaxson DartNYG75%10 gms
- 8Brock PurdySF75%6 gms
- 9Daniel JonesIND73%8 gms
- 10
Jordan LoveGB70%8 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
- 1Caleb WilliamsCHI22.0/gm
- 2Taysom HillNO10.2/gm
- 3Anthony Richardson Sr.IND11.0/gm
- 4Jameis WinstonNYG11.0/gm
- 5Spencer RattlerNO00.0/gm
- 6Drake MayeNE00.0/gm
- 7Justin FieldsNYJ00.0/gm
- 8Bo NixDEN00.0/gm
- 9Patrick MahomesKC00.0/gm
- 10Quinn EwersOUTMIA00.0/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
- 1Taysom HillNO8%6 gms
Deep-target rate (proxy)
deep targets / total targets (min 10 targets): a deep-target PROXY, not aDOT
pbp
- 1Taysom HillNO15%12 gms
Deep-target share (proxy)
player deep targets / team deep targets: a deep-target PROXY, not air-yards share
pbp
- 1Taysom HillNO2%12 gms
- 2Drake MayeNE0%16 gms
- 3Spencer RattlerNO0%8 gms
- 4Anthony Richardson Sr.IND0%2 gms
- 5Caleb WilliamsCHI0%16 gms
- 6Justin FieldsNYJ0%9 gms
- 7Bo NixDEN0%16 gms
- 8Jameis WinstonNYG0%2 gms
- 9Patrick MahomesKC0%14 gms
- 10Quinn EwersOUTMIA0%2 gms
Opportunity Score (proxy)
1.5·target-share + 0.7·deep-target-share + 0.6·rush-share: an Opportunity PROXY, not WOPR
pbp
- 1Drake MayeNE0.1316 gms
- 2Taysom HillNO0.1112 gms
- 3Bo NixDEN0.1116 gms
- 4Justin FieldsNYJ0.109 gms
- 5Patrick MahomesKC0.1014 gms
- 6Caleb WilliamsCHI0.0916 gms
- 7Spencer RattlerNO0.058 gms
- 8Jameis WinstonNYG0.012 gms
- 9Quinn EwersOUTMIA0.012 gms
- 10Anthony Richardson Sr.IND0.012 gms
QB deep-pass rate (proxy)
deep passes / tagged pass attempts (min 40 attempts) — a throw-depth PROXY, not aDOT
pbp
- 1Marcus MariotaWSH27%10 gms
- 2Quinn EwersOUTMIA25%3 gms
- 3Matthew StaffordLAR25%16 gms
- 4J.J. McCarthyOUTMIN25%9 gms
- 5Caleb WilliamsCHI23%16 gms
- 6
Philip RiversIND23%3 gms - 7Jameis WinstonNYG23%3 gms
- 8Jordan LoveGB22%15 gms
- 9Lamar JacksonBAL22%12 gms
- 10Drake MayeNE22%16 gms
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
- 1Justin HerbertLAC69%16 gms
- 2Baker MayfieldTB68%16 gms
- 3Jameis WinstonNYG67%3 gms
- 4Trevor LawrenceJAX67%16 gms
- 5Davis MillsHOU66%5 gms
- 6J.J. McCarthyOUTMIN65%9 gms
- 7
Sam DarnoldDOUBTFULSEA65%16 gms - 8
Carson WentzMIN65%5 gms - 9Matthew StaffordLAR64%16 gms
- 10
Jayden DanielsWSH64%7 gms
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
- 1Jacoby BrissettARI42%12 gms
- 2Kyler MurrayQUESTIONABLEARI39%5 gms
- 3Shedeur SandersCLE35%7 gms
- 4Kirk CousinsATL34%9 gms
- 5
Geno SmithLV33%15 gms - 6Dillon GabrielIRCLE33%9 gms
- 7Quinn EwersOUTMIA33%3 gms
- 8Lamar JacksonBAL32%12 gms
- 9Aaron RodgersPIT31%15 gms
- 10Patrick MahomesKC30%14 gms
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
- 1Jared GoffDET36%16 gms
- 2Kirk CousinsATL30%9 gms
- 3
Mason RudolphPIT28%4 gms - 4Russell WilsonNYG27%6 gms
- 5Mac JonesSF27%8 gms
- 6
Max BrosmerMIN27%5 gms - 7Shedeur SandersCLE25%7 gms
- 8Aaron RodgersPIT25%15 gms
- 9Brock PurdySF24%8 gms
- 10Kyler MurrayQUESTIONABLEARI24%5 gms
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
- 1Marcus MariotaWSH10.2010 gms
- 2Jameis WinstonNYG9.383 gms
- 3Matthew StaffordLAR9.1316 gms
- 4Drake MayeNE9.0416 gms
- 5Jalen HurtsPHI9.0116 gms
- 6J.J. McCarthyOUTMIN8.949 gms
- 7Russell WilsonNYG8.896 gms
- 8Jordan LoveGB8.8415 gms
- 9Quinn EwersOUTMIA8.823 gms
- 10Lamar JacksonBAL8.7612 gms
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
No data.
Air-yards share
player air yards / team air yards: TRUE air-yards share from nflverse (min 20 targets).
nflverse
No data.
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
No data.
Redzone touches
carries + targets inside the opponent's 20
pbp
- 1Josh AllenBUF322.0/gm
- 2Jalen HurtsPHI271.7/gm
- 3Trevor LawrenceJAX231.4/gm
- 4Drake MayeNE201.3/gm
- 5Jaxson DartNYG201.5/gm
- 6Bo NixDEN181.1/gm
- 7Caleb WilliamsCHI181.1/gm
- 8Daniel JonesIND161.2/gm
- 9Patrick MahomesKC141.0/gm
- 10Justin HerbertLAC130.8/gm
Redzone carries
carries inside the opponent's 20: goal-line rush role
pbp
- 1Josh AllenBUF322.0/gm
- 2Jalen HurtsPHI271.7/gm
- 3Trevor LawrenceJAX231.4/gm
- 4Drake MayeNE201.3/gm
- 5Jaxson DartNYG201.5/gm
- 6Bo NixDEN171.1/gm
- 7Caleb WilliamsCHI171.1/gm
- 8Daniel JonesIND161.2/gm
- 9Patrick MahomesKC141.0/gm
- 10Justin HerbertLAC130.8/gm
Redzone targets
targets inside the opponent's 20: redzone passing role
pbp
- 1Bo NixDEN10.1/gm
- 2Caleb WilliamsCHI10.1/gm
- 3Justin FieldsNYJ10.1/gm
- 4Spencer RattlerNO10.1/gm
- 5Quinn EwersOUTMIA10.3/gm
- 6Matthew StaffordLAR00.0/gm
- 7Dak PrescottDAL00.0/gm
- 8Jared GoffDET00.0/gm
- 9Baker MayfieldTB00.0/gm
- 10Sam DarnoldDOUBTFULSEA00.0/gm
Inside-10 touches
carries + targets inside the opponent's 10
pbp
- 1Josh AllenBUF211.3/gm
- 2Jalen HurtsPHI150.9/gm
- 3Trevor LawrenceJAX140.9/gm
- 4Drake MayeNE130.8/gm
- 5Jaxson DartNYG110.8/gm
- 6Daniel JonesIND100.8/gm
- 7
Tyler ShoughNO90.9/gm - 8Dak PrescottDAL80.5/gm
- 9Taysom HillNO80.7/gm
- 10Caleb WilliamsCHI70.4/gm
Goal-line touches
carries + targets inside the opponent's 5: TD range
pbp
- 1Josh AllenBUF161.0/gm
- 2Jalen HurtsPHI120.8/gm
- 3Trevor LawrenceJAX100.6/gm
- 4Jaxson DartNYG70.5/gm
- 5Dak PrescottDAL60.4/gm
- 6Daniel JonesIND60.5/gm
- 7Tyler ShoughNO40.4/gm
- 8Matthew StaffordLAR30.2/gm
- 9Justin HerbertLAC30.2/gm
- 10Drake MayeNE30.2/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
- 1Justin FieldsNYJ50%9 gms
- 2Tyler ShoughNO44%10 gms
- 3Josh AllenBUF42%16 gms
- 4Jalen HurtsPHI41%16 gms
- 5Trevor LawrenceJAX39%16 gms
- 6Jaxson DartNYG35%13 gms
- 7Jacoby BrissettARI33%13 gms
- 8Taysom HillNO30%12 gms
- 9Dak PrescottDAL22%16 gms
- 10Daniel JonesIND22%13 gms
Redzone touch share
player's share of the team's redzone touches (min 3 touches)
pbp
- 1Tyler ShoughNO21%10 gms
- 2Jalen HurtsPHI21%16 gms
- 3Justin FieldsNYJ20%9 gms
- 4Josh AllenBUF20%16 gms
- 5Jaxson DartNYG18%13 gms
- 6Taysom HillNO17%12 gms
- 7Drake MayeNE14%16 gms
- 8Trevor LawrenceJAX13%16 gms
- 9Jayden DanielsWSH13%7 gms
- 10Bo NixDEN13%16 gms
Redzone target share
player's share of the team's redzone targets (min 3 targets): passing TD-upside predictor
pbp
No data.
Redzone carry share
player's share of the team's redzone carries (min 3 carries): goal-line rush TD-upside predictor
pbp
- 1Tyler ShoughNO34%10 gms
- 2Jalen HurtsPHI33%16 gms
- 3Justin FieldsNYJ31%9 gms
- 4Josh AllenBUF31%16 gms
- 5Jaxson DartNYG29%13 gms
- 6Taysom HillNO28%12 gms
- 7Bo NixDEN26%16 gms
- 8Trevor LawrenceJAX24%16 gms
- 9Drake MayeNE23%16 gms
- 10
Tyrod TaylorNYJ23%6 gms
Redzone targets allowed
targets a defense allows to the position inside its own 20: redzone matchup
pbp
- 1TTBdefensedefense10.1/gm
- 2BBUFdefensedefense10.1/gm
- 3KKCdefensedefense10.1/gm
- 4CCINdefensedefense10.1/gm
- 5NNEdefensedefense10.1/gm
- 6BBALdefensedefense00.0/gm
- 7MMIAdefensedefense00.0/gm
- 8PPITdefensedefense00.0/gm
- 9DDALdefensedefense00.0/gm
- 10DDETdefensedefense00.0/gm
Redzone touches allowed
carries + targets a defense allows to the position inside its own 20
pbp
- 1LLVdefensedefense301.9/gm
- 2BBALdefensedefense231.4/gm
- 3DDALdefensedefense221.4/gm
- 4KKCdefensedefense201.3/gm
- 5DDETdefensedefense161.0/gm
- 6CCARdefensedefense161.0/gm
- 7AATLdefensedefense161.0/gm
- 8DDENdefensedefense161.0/gm
- 9NNYGdefensedefense150.9/gm
- 10TTENdefensedefense140.9/gm
Goal-line touches allowed
carries + targets a defense allows inside its own 5: TD range
pbp
- 1BBALdefensedefense80.5/gm
- 2LLVdefensedefense80.5/gm
- 3KKCdefensedefense70.4/gm
- 4DDENdefensedefense70.4/gm
- 5DDALdefensedefense60.4/gm
- 6TTBdefensedefense60.4/gm
- 7NNYGdefensedefense60.4/gm
- 8PPHIdefensedefense60.4/gm
- 9DDETdefensedefense50.3/gm
- 10CCARdefensedefense50.3/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
- 1NNEdefensedefense93%16 gms
- 2SSFdefensedefense93%16 gms
- 3IINDdefensedefense88%16 gms
- 4PPHIdefensedefense88%16 gms
- 5BBUFdefensedefense81%16 gms
- 6NNYJdefensedefense81%16 gms
- 7WWSHdefensedefense75%16 gms
- 8TTENdefensedefense72%16 gms
- 9DDENdefensedefense72%16 gms
- 10KKCdefensedefense68%16 gms
Goal-line TDs
TDs scored from inside the 5 (true goal-line <=3): who converts in TD range
scoringplays
- 1Josh AllenBUF110.7/gm
- 2Jalen HurtsPHI60.4/gm
- 3Trevor LawrenceJAX50.3/gm
- 4Daniel JonesIND50.4/gm
- 5Jaxson DartNYG40.3/gm
- 6Justin FieldsNYJ30.3/gm
- 7Justin HerbertLAC20.1/gm
- 8Caleb WilliamsCHI20.1/gm
- 9Brock PurdySF20.3/gm
- 10Jayden DanielsWSH20.3/gm
Rushing TDs
rushing touchdowns from scoring plays (goal-line split)
scoringplays
- 1Josh AllenBUF140.9/gm
- 2Trevor LawrenceJAX90.6/gm
- 3Jaxson DartNYG90.7/gm
- 4Jalen HurtsPHI80.5/gm
- 5Bo NixDEN50.3/gm
- 6Patrick MahomesKC50.4/gm
- 7Daniel JonesIND50.4/gm
- 8Drake MayeNE40.3/gm
- 9Justin FieldsNYJ40.4/gm
- 10J.J. McCarthyOUTMIN40.4/gm
Receiving TDs
receiving touchdowns from scoring plays (goal-line split)
scoringplays
- 1Caleb WilliamsCHI10.1/gm
- 2Jameis WinstonNYG10.3/gm
Passing TDs
touchdown passes thrown (from scoring plays): QB scoring
scoringplays
- 1Matthew StaffordLAR422.6/gm
- 2Jared GoffDET332.1/gm
- 3Dak PrescottDAL301.9/gm
- 4Drake MayeNE301.9/gm
- 5Justin HerbertLAC261.6/gm
- 6Trevor LawrenceJAX261.6/gm
- 7Baker MayfieldTB251.6/gm
- 8Sam DarnoldDOUBTFULSEA251.6/gm
- 9Josh AllenBUF251.6/gm
- 10Jalen HurtsPHI251.6/gm
Total EPA (our EP)
sum of play EPA from our play-by-play EP model: total value created
our EP (play-by-play)
- 1Drake MayeNE+221.916 gms
- 2Matthew StaffordLAR+182.216 gms
- 3Jared GoffDET+181.216 gms
- 4Josh AllenBUF+170.316 gms
- 5Dak PrescottDAL+162.616 gms
- 6Patrick MahomesKC+147.814 gms
- 7Daniel JonesIND+144.513 gms
- 8Jordan LoveGB+139.115 gms
- 9Justin HerbertLAC+137.816 gms
- 10Bo NixDEN+131.216 gms
EPA / rush (our EP)
rushing EPA per carry from our EP model
our EP (play-by-play)
- 1Malik WillisGB+0.6020 vol
- 2Baker MayfieldTB+0.5049 vol
- 3Patrick MahomesKC+0.4963 vol
- 4J.J. McCarthyOUTMIN+0.4532 vol
- 5Spencer RattlerNO+0.4431 vol
- 6Jaxson DartNYG+0.4280 vol
- 7
Michael Penix Jr.OUTATL+0.3620 vol - 8Justin HerbertLAC+0.3580 vol
- 9Daniel JonesIND+0.3443 vol
- 10Lamar JacksonBAL+0.3462 vol
EPA / target (our EP)
receiving EPA per target from our EP model
our EP (play-by-play)
No data.
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)
- 1Jaxson DartNYG+4.89 TD · 4.2 xTD
- 2Josh AllenBUF+3.912 TD · 8.1 xTD
- 3Trevor LawrenceJAX+3.79 TD · 5.3 xTD
- 4Patrick MahomesKC+3.05 TD · 2.0 xTD
- 5J.J. McCarthyOUTMIN+2.94 TD · 1.1 xTD
- 6Bo NixDEN+2.95 TD · 2.1 xTD
- 7Caleb WilliamsCHI+2.35 TD · 2.7 xTD
- 8Jalen HurtsPHI+1.88 TD · 6.3 xTD
- 9Brock PurdySF+1.73 TD · 1.3 xTD
- 10Justin FieldsNYJ+1.74 TD · 2.3 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)
- 1Dak PrescottDAL-2.01 TD · 3.0 xTD
- 2Matthew StaffordLAR-1.60 TD · 1.6 xTD
- 3Taysom HillNO-1.51 TD · 2.5 xTD
- 4Sam DarnoldDOUBTFULSEA-1.30 TD · 1.3 xTD
- 5Geno SmithLV-1.20 TD · 1.2 xTD
- 6Jordan LoveGB-0.90 TD · 0.9 xTD
- 7Spencer RattlerNO-0.90 TD · 0.9 xTD
- 8Cam WardTEN-0.81 TD · 1.8 xTD
- 9
Joe FlaccoCIN-0.71 TD · 1.7 xTD - 10Marcus MariotaWSH-0.71 TD · 1.7 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)
- 1Dak PrescottDAL302.4416 gms
- 2Bo NixDEN295.0316 gms
- 3Trevor LawrenceJAX294.5716 gms
- 4Josh AllenBUF289.6816 gms
- 5Matthew StaffordLAR281.1416 gms
- 6Patrick MahomesKC277.2914 gms
- 7Drake MayeNE276.5916 gms
- 8Caleb WilliamsCHI273.8316 gms
- 9Justin HerbertLAC271.0816 gms
- 10Jalen HurtsPHI265.5416 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)
- 1Patrick MahomesKC19.8114 gms
- 2Dak PrescottDAL18.9016 gms
- 3Brock PurdySF18.758 gms
- 4Bo NixDEN18.4416 gms
- 5Trevor LawrenceJAX18.4116 gms
- 6Josh AllenBUF18.1016 gms
- 7Matthew StaffordLAR17.5716 gms
- 8Drake MayeNE17.2916 gms
- 9Caleb WilliamsCHI17.1116 gms
- 10Kyler MurrayQUESTIONABLEARI17.005 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)
- 1Russell WilsonNYG0.326 gms
- 2Patrick MahomesKC0.3014 gms
- 3Jacoby BrissettARI0.2913 gms
- 4Brock PurdySF0.288 gms
- 5Josh AllenBUF0.2816 gms
- 6Davis MillsHOU0.285 gms
- 7Tyrod TaylorNYJ0.286 gms
- 8Trevor LawrenceJAX0.2816 gms
- 9Drake MayeNE0.2816 gms
- 10Jalen HurtsPHI0.2816 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)
- 1Josh AllenBUF+74.9364.6 FP · 289.7 xFP
- 2Drake MayeNE+59.6336.2 FP · 276.6 xFP
- 3Matthew StaffordLAR+42.6323.7 FP · 281.1 xFP
- 4Jaxson DartNYG+35.7221.2 FP · 185.4 xFP
- 5Jalen HurtsPHI+33.5299.1 FP · 265.5 xFP
- 6Jared GoffDET+32.6281.8 FP · 249.2 xFP
- 7Jordan LoveGB+30.9235.1 FP · 204.2 xFP
- 8Lamar JacksonBAL+29.6194.4 FP · 164.8 xFP
- 9Caleb WilliamsCHI+28.3302.1 FP · 273.8 xFP
- 10Brock PurdySF+22.2172.2 FP · 150.0 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)
- 1Cam WardTEN-57.7177.5 FP · 235.2 xFP
- 2Joe FlaccoCIN-37.8146.5 FP · 184.3 xFP
- 3
Brady CookOUTNYJ-37.419.4 FP · 56.7 xFP - 4Geno SmithLV-32.6173.9 FP · 206.5 xFP
- 5Spencer RattlerNO-26.999.1 FP · 126.0 xFP
- 6Max BrosmerMIN-24.63.9 FP · 28.5 xFP
- 7Russell WilsonNYG-20.649.8 FP · 70.4 xFP
- 8
Cooper RushBAL-17.41.7 FP · 19.1 xFP - 9Dillon GabrielIRCLE-17.270.1 FP · 87.3 xFP
- 10
Bryce YoungCAR-15.7201.5 FP · 217.2 xFP
Leaderboards are descriptive. For accountable start/sit calls, see Calls.