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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 1, 2024Point-in-time: aggregates Weeks 1–1 only. Uses no game after Week 1.
64 players · 5 metrics · click a column to sort
Stat leaders
64 players
Stat leaders
64 players
TeamBALGames1Opportunities16Snap share100%Target share0%Fantasy points (PPR)25Opportunity Score (proxy)·
TeamWSHGames1Opportunities16Snap share100%Target share·Fantasy points (PPR)28Opportunity Score (proxy)·
TeamPITGames1Opportunities14Snap share100%Target share·Fantasy points (PPR)12Opportunity Score (proxy)·
TeamPHIGames1Opportunities13Snap share100%Target share·Fantasy points (PPR)16Opportunity Score (proxy)·
TeamBUFGames1Opportunities9Snap share100%Target share0%Fantasy points (PPR)31Opportunity Score (proxy)·
TeamNOGames1Opportunities7Snap share·Target share8%Fantasy points (PPR)·Opportunity Score (proxy)0.33
TeamNEGames1Opportunities7Snap share100%Target share0%Fantasy points (PPR)·Opportunity Score (proxy)·
TeamNYGGames1Opportunities6Snap share100%Target share0%Fantasy points (PPR)·Opportunity Score (proxy)·
TeamINDGames1Opportunities6Snap share100%Target share·Fantasy points (PPR)26Opportunity Score (proxy)·
TeamCLEGames1Opportunities5Snap share100%Target share0%Fantasy points (PPR)11Opportunity Score (proxy)·
Kyler MurrayQBQUESTIONABLETeamARIGames1Opportunities5Snap share100%Target share0%Fantasy points (PPR)14Opportunity Score (proxy)·
Bo NixQBTeamDENGames1Opportunities5Snap share100%Target share·Fantasy points (PPR)11Opportunity Score (proxy)·
TeamCHIGames1Opportunities5Snap share100%Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamSEAGames1Opportunities4Snap share100%Target share0%Fantasy points (PPR)18Opportunity Score (proxy)·
TeamCINGames1Opportunities4Snap share100%Target share0%Fantasy points (PPR)·Opportunity Score (proxy)·
TeamLACGames1Opportunities4Snap share100%Target share·Fantasy points (PPR)10Opportunity Score (proxy)·
TeamTENGames1Opportunities4Snap share100%Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamKCGames1Opportunities3Snap share100%Target share4%Fantasy points (PPR)15Opportunity Score (proxy)0.12
Sam DarnoldQBDOUBTFULTeamMINGames1Opportunities3Snap share100%Target share0%Fantasy points (PPR)15Opportunity Score (proxy)·
TeamLVGames1Opportunities3Snap share100%Target share0%Fantasy points (PPR)11Opportunity Score (proxy)·
TeamLARGames1Opportunities·Snap share100%Target share0%Fantasy points (PPR)15Opportunity 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 1, 2024
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| No risers clear the noise floor for WR in this window yet. | ||||
WR · Risers
As of Week 1, 2024
Noise-guard: ≥3 wk · ≥12 snaps
No risers clear the noise floor for WR in this window yet.
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 |  Keon ColemanWR BUF | 6%22% | +16 | 3 |
| 2 |  Wan'Dale RobinsonWR NYG | 19%33% | +14 | 3 |
| 3 |  A.J. BrownWR PHI | 31%44% | +13 | 2 |
| 4 |  Ricky PearsallWR SF | 9%21% | +12 | 3 |
| 5 |  Puka NacuaWR LAR | 37%49% | +11 | 2 |
| 6 |  Jordan AkinsTE CLE | 6%16% | +11 | 3 |
| 7 |  Payne DurhamTE TB | 0%11% | +11 | 3 |
| 8 |  Olamide ZaccheausWR WSH | 12%22% | +10 | 3 |
| 9 |  Drake LondonWR ATL | 29%39% | +10 | 3 |
| 10 |  Xavier LegetteWR CAR | 18%28% | +9 | 2 |
| 11 |  John Metchie IIIWR HOU | 11%20% | +9 | 2 |
| 12 |  Javonte WilliamsRB DEN | 8%17% | +9 | 3 |
| 13 |  Brian Thomas Jr.WR JAX | 32%40% | +8 | 3 |
| 14 |  Mark AndrewsTE BAL | 14%22% | +8 | 3 |
| 15 |  Dante PettisWR NO | 10%18% | +8 | 3 |
| 16 |  Nick Westbrook-IkhineWR TEN | 12%20% | +7 | 3 |
| 17 |  Pierre Strong Jr.RBCLE | 2%9% | +7 | 2 |
| 18 |  Malik WashingtonWR MIA | 9%16% | +7 | 3 |
| 19 |  River CracraftWRMIA | 1%8% | +7 | 3 |
| 20 |  Mike GesickiTE CIN | 11%18% | +7 | 3 |
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
- Baseline → recent target share
- 6%22%
- Change in target share (points)
- +16
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 19%33%
- Change in target share (points)
- +14
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 31%44%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 9%21%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 37%49%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 6%16%
- 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
- 12%22%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 29%39%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 18%28%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 11%20%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 8%17%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 32%40%
- Change in target share (points)
- +8
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 14%22%
- Change in target share (points)
- +8
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 10%18%
- Change in target share (points)
- +8
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 12%20%
- Change in target share (points)
- +7
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 2%9%
- Change in target share (points)
- +7
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 9%16%
- Change in target share (points)
- +7
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 1%8%
- Change in target share (points)
- +7
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 11%18%
- Change in target share (points)
- +7
- 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 1, 2024
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 99.0/gm | 64% | — |
| 2 |  Tyreek HillWRMIA | 66.0/gm | 55% | — |
| 3 |  Cooper KuppWRLAR | 66.0/gm | 55% | — |
| 4 |  Courtland SuttonWRDEN | 55.0/gm | 31% | — |
| 5 |  Chris GodwinWRTB | 55.0/gm | 50% | — |
| 6 |  Greg DortchWR ARI | 44.0/gm | 67% | — |
| 7 |  CeeDee LambWR DAL | 44.0/gm | 44% | — |
| 8 |  K.J. OsbornWR NE | 44.0/gm | 44% | — |
| 9 |  Keenan AllenWR CHI | 44.0/gm | 40% | — |
| 10 |  Garrett WilsonWR NYJ | 44.0/gm | 50% | — |
| 11 |  Zay FlowersWRBAL | 33.0/gm | 33% | — |
| 12 | A.J. BrownWRPHI | 33.0/gm | 50% | — |
| 13 |  Rashid ShaheedWRNO | 33.0/gm | 75% | — |
| 14 |  Brandin CooksWRDAL | 33.0/gm | 33% | — |
| 15 |  Josh ReynoldsWRDEN | 33.0/gm | 19% | — |
| 16 |  Stefon DiggsWRHOU | 33.0/gm | 33% | — |
| 17 |  Nico CollinsWRHOU | 33.0/gm | 33% | — |
| 18 |  Christian KirkWRJAX | 33.0/gm | 50% | — |
| 19 |  Jameson WilliamsWR DET | 33.0/gm | 50% | — |
| 20 |  Quentin JohnstonWR LAC | 33.0/gm | 30% | — |
| 21 |  Ladd McConkeyWRLAC | 33.0/gm | 30% | — |
| 22 |  Joshua PalmerWRLAC | 33.0/gm | 30% | — |
| 23 |  Justin JeffersonWR MIN | 33.0/gm | 38% | — |
| 24 |  DeMario DouglasWRNE | 33.0/gm | 33% | — |
WR · Money downs (3rd+4th)
As of Week 1, 2024
- Money-down targets
- 99.0/gm
- Money-down target share
- 64%
- Money-down yards / target
- —
- Money-down targets
- 66.0/gm
- Money-down target share
- 55%
- Money-down yards / target
- —
- Money-down targets
- 66.0/gm
- Money-down target share
- 55%
- Money-down yards / target
- —
- Money-down targets
- 55.0/gm
- Money-down target share
- 31%
- Money-down yards / target
- —
- Money-down targets
- 55.0/gm
- Money-down target share
- 50%
- Money-down yards / target
- —
- Money-down targets
- 44.0/gm
- Money-down target share
- 67%
- Money-down yards / target
- —
- Money-down targets
- 44.0/gm
- Money-down target share
- 44%
- Money-down yards / target
- —
- Money-down targets
- 44.0/gm
- Money-down target share
- 44%
- Money-down yards / target
- —
- Money-down targets
- 44.0/gm
- Money-down target share
- 40%
- Money-down yards / target
- —
- Money-down targets
- 44.0/gm
- Money-down target share
- 50%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 33%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 50%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 75%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 33%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 19%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 33%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 33%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 50%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 50%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 30%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 30%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 30%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 38%
- Money-down yards / target
- —
- Money-down targets
- 33.0/gm
- Money-down target share
- 33%
- Money-down yards / target
- —
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 1, 2024
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Cooper KuppWRLAR | 44% | 100% | 1 |
| 2 |  Michael Pittman Jr.WR IND | 42% | 89% | 1 |
| 3 | Keenan AllenWRCHI | 38% | 68% | 1 |
| 4 | Garrett WilsonWRNYJ | 38% | 96% | 1 |
| 5 |  Deebo Samuel Sr.WRSF | 35% | 74% | 1 |
| 6 | A.J. BrownWRPHI | 35% | 95% | 1 |
| 7 | CeeDee LambWRDAL | 35% | 71% | 1 |
| 8 | Tyreek HillWRMIA | 34% | 70% | 1 |
| 9 |  Rashee RiceWR KC | 33% | 78% | 1 |
| 10 | Jameson WilliamsWRDET | 32% | 85% | 1 |
| 11 |  George PickensWR PIT | 32% | 68% | 1 |
| 12 | Wan'Dale RobinsonWRNYG | 32% | 68% | 1 |
| 13 |  Allen LazardWRNYJ | 31% | 100% | 1 |
| 14 |  Ray-Ray McCloud IIIWRATL | 30% | 54% | 1 |
| 15 | Courtland SuttonWRDEN | 29% | 91% | 1 |
| 16 | Ladd McConkeyWRLAC | 29% | 67% | 1 |
| 17 | Justin JeffersonWRMIN | 29% | 84% | 1 |
| 18 |  Tyler LockettWR SEA | 28% | 54% | 1 |
| 19 |  DJ MooreWRCHI | 28% | 88% | 1 |
| 20 |  DeVonta SmithWRPHI | 28% | 100% | 1 |
| 21 | Chris GodwinWRTB | 27% | 78% | 1 |
| 22 |  Adonai MitchellWRIND | 26% | 64% | 1 |
| 23 | K.J. OsbornWRNE | 26% | 62% | 1 |
| 24 |  Calvin RidleyWRTEN | 26% | 84% | 1 |
WR · target share
As of Week 1, 2024
- Target share
- 44%
- Snap share (on-field participation)
- 100%
- Games
- 1
- Target share
- 42%
- Snap share (on-field participation)
- 89%
- Games
- 1
- Target share
- 38%
- Snap share (on-field participation)
- 68%
- Games
- 1
- Target share
- 38%
- Snap share (on-field participation)
- 96%
- Games
- 1
- Target share
- 35%
- Snap share (on-field participation)
- 74%
- Games
- 1
- Target share
- 35%
- Snap share (on-field participation)
- 95%
- Games
- 1
- Target share
- 35%
- Snap share (on-field participation)
- 71%
- Games
- 1
- Target share
- 34%
- Snap share (on-field participation)
- 70%
- Games
- 1
- Target share
- 33%
- Snap share (on-field participation)
- 78%
- Games
- 1
- Target share
- 32%
- Snap share (on-field participation)
- 85%
- Games
- 1
- Target share
- 32%
- Snap share (on-field participation)
- 68%
- Games
- 1
- Target share
- 32%
- Snap share (on-field participation)
- 68%
- Games
- 1
- Target share
- 31%
- Snap share (on-field participation)
- 100%
- Games
- 1
- Target share
- 30%
- Snap share (on-field participation)
- 54%
- Games
- 1
- Target share
- 29%
- Snap share (on-field participation)
- 91%
- Games
- 1
- Target share
- 29%
- Snap share (on-field participation)
- 67%
- Games
- 1
- Target share
- 29%
- Snap share (on-field participation)
- 84%
- Games
- 1
- Target share
- 28%
- Snap share (on-field participation)
- 54%
- Games
- 1
- Target share
- 28%
- Snap share (on-field participation)
- 100%
- Games
- 1
- Target share
- 27%
- Snap share (on-field participation)
- 78%
- Games
- 1
- Target share
- 26%
- Snap share (on-field participation)
- 64%
- Games
- 1
- Target share
- 26%
- Snap share (on-field participation)
- 62%
- Games
- 1
- Target share
- 26%
- Snap share (on-field participation)
- 84%
- Games
- 1
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
Lamar JacksonBAL1616.0/gm - 2
Jayden DanielsWSH1616.0/gm - 3
Justin FieldsPIT1414.0/gm - 4
Jalen HurtsPHI1313.0/gm - 5
Josh AllenBUF99.0/gm - 6
Taysom HillNO77.0/gm - 7
Jacoby BrissettNE77.0/gm - 8
Daniel JonesNYG66.0/gm - 9
Anthony RichardsonIND66.0/gm - 10
Deshaun WatsonCLE55.0/gm
Snap share
share of offensive snaps: on-field role
- 1
Matthew StaffordLAR100%1 gms - 2
Kirk CousinsATL100%1 gms - 3
Geno SmithSEA100%1 gms - 4Jacoby BrissettNE100%1 gms
- 5
Jared GoffDET100%1 gms - 6Deshaun WatsonCLE100%1 gms
- 7
Patrick MahomesKC100%1 gms - 8Sam DarnoldDOUBTFULMIN100%1 gms
- 9
Joe BurrowCIN100%1 gms - 10Lamar JacksonBAL100%1 gms
Target share
share of team targets: passing-game role
- 1Taysom HillNO8%1 gms
- 2Patrick MahomesKC4%1 gms
- 3Matthew StaffordLAR0%1 gms
- 4
Andy DaltonCAR0%1 gms - 5
Tyrod TaylorNYJ0%1 gms - 6Kirk CousinsATL0%1 gms
- 7Geno SmithSEA0%1 gms
- 8
Derek CarrNO0%1 gms - 9
Brandon AllenSF0%1 gms - 10
Dak PrescottDAL0%1 gms
Fantasy points (PPR)
PPR fantasy points: the headline scoring leaderboard
- 1Josh AllenBUF3131.2/gm
- 2
Baker MayfieldTB3029.7/gm - 3Jayden DanielsWSH2828.2/gm
- 4Anthony RichardsonIND2626.1/gm
- 5Lamar JacksonBAL2525.1/gm
- 6Derek CarrNO2121.3/gm
- 7
C.J. StroudHOU1918.7/gm - 8
Tua TagovailoaOUTMIA1918.6/gm - 9Geno SmithSEA1817.8/gm
- 10
Jordan LoveGB1616.4/gm
Receptions
catches: PPR's core currency
- 1Taysom HillNO11.0/gm
- 2Patrick MahomesKC11.0/gm
- 3Matthew StaffordLAR00.0/gm
- 4Andy DaltonCAR00.0/gm
- 5Tyrod TaylorNYJ00.0/gm
- 6Kirk CousinsATL00.0/gm
- 7Geno SmithSEA00.0/gm
- 8Derek CarrNO00.0/gm
- 9Brandon AllenSF00.0/gm
- 10Dak PrescottDAL00.0/gm
Yards from scrimmage
receiving + rushing yards
- 1Lamar JacksonBAL122122.0/gm
- 2Jayden DanielsWSH8888.0/gm
- 3Kyler MurrayQUESTIONABLEARI5757.0/gm
- 4Justin FieldsPIT5757.0/gm
- 5Anthony RichardsonIND5656.0/gm
- 6Deshaun WatsonCLE3939.0/gm
- 7Josh AllenBUF3939.0/gm
- 8Taysom HillNO3636.0/gm
- 9
Will LevisTEN3636.0/gm - 10Bo NixDEN3535.0/gm
Touchdowns
receiving + rushing TDs
- 1Josh AllenBUF22.0/gm
- 2Jayden DanielsWSH22.0/gm
- 3Geno SmithSEA11.0/gm
- 4Bo NixDEN11.0/gm
- 5Anthony RichardsonIND11.0/gm
- 6
Bryce YoungCAR11.0/gm - 7Matthew StaffordLAR00.0/gm
- 8Andy DaltonCAR00.0/gm
- 9Tyrod TaylorNYJ00.0/gm
- 10Kirk CousinsATL00.0/gm
Catch rate
receptions / targets (min 10 targets): efficiency, not volume
No data.
Yards per touch
scrimmage yards per touch (min 10 touches): efficiency, not volume
- 1Lamar JacksonBAL7.616 vol
- 2Jayden DanielsWSH5.516 vol
- 3Justin FieldsPIT4.114 vol
- 4Jalen HurtsPHI2.513 vol
TD rate (per touch)
TDs per touch (min 10 touches): efficiency, not volume
- 1Jayden DanielsWSH13%1 gms
- 2Lamar JacksonBAL0%1 gms
- 3Justin FieldsPIT0%1 gms
- 4Jalen HurtsPHI0%1 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
No data.
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
No data.
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
No data.
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
- 1Derek CarrNO11.0/gm
- 2Baker MayfieldTB11.0/gm
- 3Lamar JacksonBAL11.0/gm
- 4Josh AllenBUF11.0/gm
- 5Tua TagovailoaOUTMIA11.0/gm
- 6Jayden DanielsWSH11.0/gm
- 7Anthony RichardsonIND11.0/gm
- 8C.J. StroudHOU11.0/gm
- 9Matthew StaffordLAR00.0/gm
- 10Andy DaltonCAR00.0/gm
3rd-down usage
3rd-down carries + targets: who's on the field and getting the ball on 3rd down
pbp
- 1Justin FieldsPIT66.0/gm
- 2Lamar JacksonBAL55.0/gm
- 3Jalen HurtsPHI44.0/gm
- 4Kyler MurrayQUESTIONABLEARI33.0/gm
- 5Deshaun WatsonCLE33.0/gm
- 6Jacoby BrissettNE33.0/gm
- 7Jayden DanielsWSH33.0/gm
- 8Patrick MahomesKC22.0/gm
- 9C.J. StroudHOU22.0/gm
- 10Anthony RichardsonIND22.0/gm
3rd-down conversion rate
share of a player's 3rd-down touches that converted (min 8 attempts): efficiency, not volume
pbp
No data.
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
- 1Patrick MahomesKC00.0/gm
- 2Taysom HillNO00.0/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
No data.
Deep-target rate (proxy)
deep targets / total targets (min 10 targets): a deep-target PROXY, not aDOT
pbp
No data.
Deep-target share (proxy)
player deep targets / team deep targets: a deep-target PROXY, not air-yards share
pbp
- 1Taysom HillNO13%1 gms
- 2Patrick MahomesKC0%1 gms
Opportunity Score (proxy)
1.5·target-share + 0.7·deep-target-share + 0.6·rush-share: an Opportunity PROXY, not WOPR
pbp
- 1Taysom HillNO0.331 gms
- 2Patrick MahomesKC0.121 gms
QB deep-pass rate (proxy)
deep passes / tagged pass attempts (min 40 attempts) — a throw-depth PROXY, not aDOT
pbp
- 1Deshaun WatsonCLE20%1 gms
- 2Lamar JacksonBAL17%1 gms
- 3Bo NixDEN17%1 gms
- 4Matthew StaffordLAR12%1 gms
- 5Daniel JonesNYG5%1 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
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
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 AllenBUF55.0/gm
- 2Justin FieldsPIT55.0/gm
- 3Lamar JacksonBAL33.0/gm
- 4Jalen HurtsPHI33.0/gm
- 5Jayden DanielsWSH33.0/gm
- 6Daniel JonesNYG22.0/gm
- 7Anthony RichardsonIND22.0/gm
- 8Tyrod TaylorNYJ11.0/gm
- 9Joe BurrowCIN11.0/gm
- 10Bo NixDEN11.0/gm
Redzone carries
carries inside the opponent's 20: goal-line rush role
pbp
- 1Josh AllenBUF55.0/gm
- 2Justin FieldsPIT55.0/gm
- 3Lamar JacksonBAL33.0/gm
- 4Jalen HurtsPHI33.0/gm
- 5Jayden DanielsWSH33.0/gm
- 6Daniel JonesNYG22.0/gm
- 7Anthony RichardsonIND22.0/gm
- 8Tyrod TaylorNYJ11.0/gm
- 9Joe BurrowCIN11.0/gm
- 10Bo NixDEN11.0/gm
Redzone targets
targets inside the opponent's 20: redzone passing role
pbp
- 1Matthew StaffordLAR00.0/gm
- 2Andy DaltonCAR00.0/gm
- 3Tyrod TaylorNYJ00.0/gm
- 4Kirk CousinsATL00.0/gm
- 5Geno SmithSEA00.0/gm
- 6Derek CarrNO00.0/gm
- 7Taysom HillNO00.0/gm
- 8Brandon AllenSF00.0/gm
- 9Dak PrescottDAL00.0/gm
- 10Jacoby BrissettNE00.0/gm
Inside-10 touches
carries + targets inside the opponent's 10
pbp
- 1Jayden DanielsWSH33.0/gm
- 2Josh AllenBUF22.0/gm
- 3Justin FieldsPIT22.0/gm
- 4Tyrod TaylorNYJ11.0/gm
- 5Daniel JonesNYG11.0/gm
- 6Bo NixDEN11.0/gm
- 7Anthony RichardsonIND11.0/gm
- 8C.J. StroudHOU11.0/gm
- 9Matthew StaffordLAR00.0/gm
- 10Andy DaltonCAR00.0/gm
Goal-line touches
carries + targets inside the opponent's 5: TD range
pbp
- 1Jayden DanielsWSH33.0/gm
- 2Bo NixDEN11.0/gm
- 3Anthony RichardsonIND11.0/gm
- 4C.J. StroudHOU11.0/gm
- 5Matthew StaffordLAR00.0/gm
- 6Andy DaltonCAR00.0/gm
- 7Tyrod TaylorNYJ00.0/gm
- 8Kirk CousinsATL00.0/gm
- 9Geno SmithSEA00.0/gm
- 10Derek CarrNO00.0/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
- 1Jayden DanielsWSH75%1 gms
Redzone touch share
player's share of the team's redzone touches (min 3 touches)
pbp
- 1Justin FieldsPIT46%1 gms
- 2Jayden DanielsWSH43%1 gms
- 3Josh AllenBUF33%1 gms
- 4Lamar JacksonBAL25%1 gms
- 5Jalen HurtsPHI20%1 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
- 1Lamar JacksonBAL60%1 gms
- 2Josh AllenBUF50%1 gms
- 3Justin FieldsPIT50%1 gms
- 4Jayden DanielsWSH50%1 gms
- 5Jalen HurtsPHI27%1 gms
Redzone targets allowed
targets a defense allows to the position inside its own 20: redzone matchup
pbp
- 1AARIdefensedefense00.0/gm
- 2AATLdefensedefense00.0/gm
- 3KKCdefensedefense00.0/gm
- 4GGBdefensedefense00.0/gm
- 5TTBdefensedefense00.0/gm
- 6HHOUdefensedefense00.0/gm
- 7MMINdefensedefense00.0/gm
- 8SSEAdefensedefense00.0/gm
- 9IINDdefensedefense00.0/gm
- 10NNEdefensedefense00.0/gm
Redzone touches allowed
carries + targets a defense allows to the position inside its own 20
pbp
- 1AARIdefensedefense55.0/gm
- 2AATLdefensedefense55.0/gm
- 3KKCdefensedefense33.0/gm
- 4GGBdefensedefense33.0/gm
- 5TTBdefensedefense33.0/gm
- 6HHOUdefensedefense22.0/gm
- 7MMINdefensedefense22.0/gm
- 8SSEAdefensedefense11.0/gm
- 9IINDdefensedefense11.0/gm
- 10NNEdefensedefense11.0/gm
Goal-line touches allowed
carries + targets a defense allows inside its own 5: TD range
pbp
- 1TTBdefensedefense33.0/gm
- 2HHOUdefensedefense11.0/gm
- 3SSEAdefensedefense11.0/gm
- 4IINDdefensedefense11.0/gm
- 5AARIdefensedefense00.0/gm
- 6AATLdefensedefense00.0/gm
- 7KKCdefensedefense00.0/gm
- 8GGBdefensedefense00.0/gm
- 9MMINdefensedefense00.0/gm
- 10NNEdefensedefense00.0/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
No data.
Goal-line TDs
TDs scored from inside the 5 (true goal-line <=3): who converts in TD range
scoringplays
- 1Jayden DanielsWSH22.0/gm
- 2Bo NixDEN11.0/gm
- 3Anthony RichardsonIND11.0/gm
- 4Bryce YoungCAR11.0/gm
Rushing TDs
rushing touchdowns from scoring plays (goal-line split)
scoringplays
- 1Josh AllenBUF22.0/gm
- 2Jayden DanielsWSH22.0/gm
- 3Geno SmithSEA11.0/gm
- 4Bo NixDEN11.0/gm
- 5Anthony RichardsonIND11.0/gm
- 6Bryce YoungCAR11.0/gm
Receiving TDs
receiving touchdowns from scoring plays (goal-line split)
scoringplays
No data.
Passing TDs
touchdown passes thrown (from scoring plays): QB scoring
scoringplays
- 1Baker MayfieldTB44.0/gm
- 2Derek CarrNO33.0/gm
- 3Sam DarnoldDOUBTFULMIN22.0/gm
- 4Josh AllenBUF22.0/gm
- 5Jordan LoveGB22.0/gm
- 6Jalen HurtsPHI22.0/gm
- 7Anthony RichardsonIND22.0/gm
- 8C.J. StroudHOU22.0/gm
- 9Matthew StaffordLAR11.0/gm
- 10Tyrod TaylorNYJ11.0/gm
Total EPA (our EP)
sum of play EPA from our play-by-play EP model: total value created
our EP (play-by-play)
- 1Tua TagovailoaOUTMIA+20.11 gms
- 2Anthony RichardsonIND+12.81 gms
- 3Baker MayfieldTB+12.11 gms
- 4Matthew StaffordLAR+11.51 gms
- 5Jayden DanielsWSH+11.41 gms
- 6Lamar JacksonBAL+10.21 gms
- 7Jalen HurtsPHI+8.81 gms
- 8Kyler MurrayQUESTIONABLEARI+8.61 gms
- 9Justin FieldsPIT+6.91 gms
- 10
Brock PurdySF+6.21 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)
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)
No data.
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)
No data.
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)
- 1Jayden DanielsWSH23.551 gms
- 2Lamar JacksonBAL21.751 gms
- 3Bo NixDEN19.761 gms
- 4Daniel JonesNYG18.121 gms
- 5Jordan LoveGB18.001 gms
- 6Deshaun WatsonCLE17.101 gms
- 7Jalen HurtsPHI16.721 gms
- 8Matthew StaffordLAR16.331 gms
- 9C.J. StroudHOU16.301 gms
- 10Baker MayfieldTB15.111 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)
- 1Jayden DanielsWSH23.551 gms
- 2Lamar JacksonBAL21.751 gms
- 3Bo NixDEN19.761 gms
- 4Daniel JonesNYG18.121 gms
- 5Jordan LoveGB18.001 gms
- 6Deshaun WatsonCLE17.101 gms
- 7Jalen HurtsPHI16.721 gms
- 8Matthew StaffordLAR16.331 gms
- 9C.J. StroudHOU16.301 gms
- 10Baker MayfieldTB15.111 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)
No data.
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+17.531.2 FP · 13.7 xFP
- 2Anthony RichardsonIND+15.826.1 FP · 10.3 xFP
- 3Baker MayfieldTB+14.629.7 FP · 15.1 xFP
- 4Derek CarrNO+11.421.3 FP · 9.9 xFP
- 5Geno SmithSEA+7.017.8 FP · 10.8 xFP
- 6Tua TagovailoaOUTMIA+5.118.6 FP · 13.6 xFP
- 7Jayden DanielsWSH+4.628.2 FP · 23.6 xFP
- 8
Trevor LawrenceJAX+4.211.3 FP · 7.1 xFP - 9Patrick MahomesKC+3.915.1 FP · 11.2 xFP
- 10Lamar JacksonBAL+3.425.1 FP · 21.8 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)
- 1Daniel JonesNYG-13.24.9 FP · 18.1 xFP
- 2Bo NixDEN-8.711.0 FP · 19.8 xFP
- 3Deshaun WatsonCLE-6.410.7 FP · 17.1 xFP
- 4Will LevisTEN-5.36.7 FP · 12.0 xFP
- 5
Caleb WilliamsCHI-5.37.2 FP · 12.5 xFP - 6Bryce YoungCAR-4.89.6 FP · 14.5 xFP
- 7Jacoby BrissettNE-3.18.0 FP · 11.2 xFP
- 8Joe BurrowCIN-3.08.1 FP · 11.1 xFP
- 9Kirk CousinsATL-2.76.2 FP · 8.9 xFP
- 10Matthew StaffordLAR-1.614.7 FP · 16.3 xFP
Leaderboards are descriptive. For accountable start/sit calls, see Calls.