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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
Season-to-date2024 full season, Weeks 1–18Complete-to-date totals across the full season.
419 players · 5 metrics · click a column to sort
Stat leaders
419 players
Stat leaders
419 players
TeamPHIGames16Opportunities388Snap share73%Target share12%Fantasy points (PPR)355Opportunity Score (proxy)0.53
TeamATLGames17Opportunities376Snap share75%Target share14%Fantasy points (PPR)342Opportunity Score (proxy)0.60
TeamLARGames16Opportunities356Snap share86%Target share·Fantasy points (PPR)272Opportunity Score (proxy)0.54
TeamBALGames17Opportunities347Snap share57%Target share·Fantasy points (PPR)336Opportunity Score (proxy)0.43
Josh JacobsRBOUTTeamGBGames17Opportunities344Snap share63%Target share·Fantasy points (PPR)293Opportunity Score (proxy)0.58
TeamINDGames14Opportunities334Snap share80%Target share·Fantasy points (PPR)245Opportunity Score (proxy)0.47
TeamMINGames17Opportunities317Snap share63%Target share12%Fantasy points (PPR)242Opportunity Score (proxy)0.54
TeamTENGames16Opportunities317Snap share68%Target share12%Fantasy points (PPR)201Opportunity Score (proxy)0.54
Alvin KamaraRBOUTTeamNOGames14Opportunities317Snap share71%Target share22%Fantasy points (PPR)265Opportunity Score (proxy)0.64
TeamDETGames17Opportunities313Snap share·Target share12%Fantasy points (PPR)363Opportunity Score (proxy)0.60
Najee HarrisRBOUTTeamPITGames17Opportunities311Snap share·Target share·Fantasy points (PPR)205Opportunity Score (proxy)0.46
TeamCHIGames17Opportunities305Snap share67%Target share10%Fantasy points (PPR)215Opportunity Score (proxy)0.52
TeamCARGames15Opportunities304Snap share77%Target share12%Fantasy points (PPR)242Opportunity Score (proxy)0.55
TeamHOUGames14Opportunities297Snap share62%Target share12%Fantasy points (PPR)241Opportunity Score (proxy)0.48
TeamCINGames16Opportunities294Snap share63%Target share11%Fantasy points (PPR)255Opportunity Score (proxy)0.54
James ConnerRBIRTeamARIGames16Opportunities291Snap share61%Target share12%Fantasy points (PPR)254Opportunity Score (proxy)0.49
TeamMIAGames17Opportunities290Snap share62%Target share16%Fantasy points (PPR)300Opportunity Score (proxy)0.53
TeamNYJGames16Opportunities285Snap share72%Target share14%Fantasy points (PPR)241Opportunity Score (proxy)0.57
TeamDALGames16Opportunities284Snap share57%Target share·Fantasy points (PPR)198Opportunity Score (proxy)0.47
TeamTBGames17Opportunities259Snap share·Target share·Fantasy points (PPR)244Opportunity Score (proxy)0.40
TeamNEGames15Opportunities248Snap share62%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.40
TeamNYGGames17Opportunities245Snap share57%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.42
TeamBUFGames16Opportunities245Snap share·Target share·Fantasy points (PPR)267Opportunity Score (proxy)0.39
TeamLACGames13Opportunities233Snap share63%Target share11%Fantasy points (PPR)192Opportunity Score (proxy)·
TeamCINGames17Opportunities178Snap share92%Target share27%Fantasy points (PPR)403Opportunity Score (proxy)0.69
Showing 5 of 56 metrics. Add more from the “Cuts, columns & filters” drawerMetrics rail. Universe = the union of every tracked metric’s leaderboard (top players per metric), merged into one row per player. Blank (·) = outside that metric’s leaders. Widening to the full roster needs a data-export change (tracked separately).
Trending usage: Risers
Usage momentum: the slope of snap share, target share, opportunities and red-zone touches over a trailing 4-week window, blended per position. Earliest breakout detector. Noise-guarded descriptive trajectory.
Rank by
WR · Risers
2024 · trailing 4-week window
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Drake LondonWR ATL | +2.22 | 99%from 92% | 4 wk62 snaps |
| 2 |  Keon ColemanWR BUF | +1.76 | 97%from 79% | 4 wk53 snaps |
| 3 |  Brandin CooksWR DAL | +1.54 | 69%from 69% | 4 wk47 snaps |
| 4 |  KhaDarel HodgeWRATL | +1.43 | 90%from 35% | 4 wk25 snaps |
| 5 |  Jahan DotsonWR PHI | +1.42 | 94%from 62% | 4 wk44 snaps |
| 6 |  Romeo DoubsWR GB | +1.37 | 86%from 76% | 3 wk49 snaps |
| 7 |  Puka NacuaWR LAR | +1.30 | 95%from 84% | 3 wk49 snaps |
| 8 |  Ricky PearsallWR SF | +1.15 | 92%from 73% | 4 wk48 snaps |
| 9 |  Demarcus RobinsonWRLAR | +1.10 | 94%from 81% | 4 wk49 snaps |
| 10 |  Jordan WhittingtonWRLAR | +1.04 | 47%from 25% | 4 wk16 snaps |
| 11 |  Johnny WilsonWRPHI | +1.02 | 96%from 42% | 4 wk29 snaps |
| 12 |  Xavier HutchinsonWR HOU | +1.02 | 80%from 56% | 4 wk32 snaps |
| 13 |  DJ Chark Jr.WR LAC | +0.97 | 49%from 30% | 4 wk22 snaps |
| 14 |  Jacob CowingWRSF | +0.94 | 66%from 24% | 4 wk17 snaps |
| 15 |  Mike EvansWR TB | +0.92 | 88%from 74% | 4 wk53 snaps |
| 16 |  Michael WilsonWR ARI | +0.89 | 87%from 84% | 3 wk61 snaps |
| 17 |  Tutu AtwellWRLAR | +0.87 | 55%from 31% | 4 wk19 snaps |
| 18 |  Dontayvion WicksWRGB | +0.86 | 74%from 64% | 4 wk42 snaps |
| 19 |  Jerry JeudyWR CLE | +0.85 | 95%from 95% | 4 wk63 snaps |
| 20 |  Chris ConleyWRSF | +0.84 | 50%from 17% | 4 wk12 snaps |
| 21 |  Ja'Marr ChaseWR CIN | +0.83 | 99%from 96% | 4 wk70 snaps |
| 22 |  KaVontae TurpinWRDAL | +0.82 | 50%from 41% | 4 wk28 snaps |
| 23 |  Xavier LegetteWR CAR | +0.77 | 42%from 51% | 3 wk28 snaps |
| 24 |  Ray-Ray McCloud IIIWRATL | +0.76 | 100%from 74% | 4 wk51 snaps |
WR · Risers
2024 · trailing 4-week window
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.22
- Now
- 99%from 92%
- Window
- 4 wk62 snaps
- Momentum (z/wk)
- +1.76
- Now
- 97%from 79%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +1.54
- Now
- 69%from 69%
- Window
- 4 wk47 snaps
- Momentum (z/wk)
- +1.43
- Now
- 90%from 35%
- Window
- 4 wk25 snaps
- Momentum (z/wk)
- +1.42
- Now
- 94%from 62%
- Window
- 4 wk44 snaps
- Momentum (z/wk)
- +1.37
- Now
- 86%from 76%
- Window
- 3 wk49 snaps
- Momentum (z/wk)
- +1.30
- Now
- 95%from 84%
- Window
- 3 wk49 snaps
- Momentum (z/wk)
- +1.15
- Now
- 92%from 73%
- Window
- 4 wk48 snaps
- Momentum (z/wk)
- +1.10
- Now
- 94%from 81%
- Window
- 4 wk49 snaps
- Momentum (z/wk)
- +1.04
- Now
- 47%from 25%
- Window
- 4 wk16 snaps
- Momentum (z/wk)
- +1.02
- Now
- 96%from 42%
- Window
- 4 wk29 snaps
- Momentum (z/wk)
- +1.02
- Now
- 80%from 56%
- Window
- 4 wk32 snaps
- Momentum (z/wk)
- +0.97
- Now
- 49%from 30%
- Window
- 4 wk22 snaps
- Momentum (z/wk)
- +0.94
- Now
- 66%from 24%
- Window
- 4 wk17 snaps
- Momentum (z/wk)
- +0.92
- Now
- 88%from 74%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +0.89
- Now
- 87%from 84%
- Window
- 3 wk61 snaps
- Momentum (z/wk)
- +0.87
- Now
- 55%from 31%
- Window
- 4 wk19 snaps
- Momentum (z/wk)
- +0.86
- Now
- 74%from 64%
- Window
- 4 wk42 snaps
- Momentum (z/wk)
- +0.85
- Now
- 95%from 95%
- Window
- 4 wk63 snaps
- Momentum (z/wk)
- +0.84
- Now
- 50%from 17%
- Window
- 4 wk12 snaps
- Momentum (z/wk)
- +0.83
- Now
- 99%from 96%
- Window
- 4 wk70 snaps
- Momentum (z/wk)
- +0.82
- Now
- 50%from 41%
- Window
- 4 wk28 snaps
- Momentum (z/wk)
- +0.77
- Now
- 42%from 51%
- Window
- 3 wk28 snaps
- Momentum (z/wk)
- +0.76
- Now
- 100%from 74%
- Window
- 4 wk51 snaps
Boards are eligible-only. Every row already clears the noise floor (≥3 played weeks and ≥12 average snaps in the window), so a one-week spike never registers. A trend is descriptive, never a prediction.
Target Share Risers — Last 3 Weeks
Whose passing-game role expanded most — mean team target share over the last three weeks versus the prior three. A descriptive receipt, not a projection.
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
| # | Player | Baseline → Recent | Δ share pts | Gms |
|---|---|---|---|---|
| 1 | Keon ColemanWRBUF | 6%22% | +16 | 3 |
| 2 |  Wan'Dale RobinsonWR NYG | 19%33% | +14 | 3 |
| 3 |  A.J. BrownWRPHI | 31%44% | +13 | 2 |
| 4 | Ricky PearsallWRSF | 9%21% | +12 | 3 |
| 5 | Puka NacuaWRLAR | 37%49% | +11 | 2 |
| 6 |  Jordan AkinsTECLE | 6%16% | +11 | 3 |
| 7 |  Payne DurhamTETB | 0%11% | +11 | 3 |
| 8 |  Olamide ZaccheausWR WSH | 12%22% | +10 | 3 |
| 9 | Drake LondonWRATL | 29%39% | +10 | 3 |
| 10 | Xavier LegetteWRCAR | 18%28% | +9 | 2 |
| 11 |  John Metchie IIIWRHOU | 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 GesickiTECIN | 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)
2024 full season, Weeks 1–18
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Wan'Dale RobinsonWRNYG | 633.7/gm | 38% | 5.1 |
| 2 |  Courtland SuttonWRDEN | 513.2/gm | 30% | 9.2 |
| 3 | Drake LondonWRATL | 483.2/gm | 30% | 7.0 |
| 4 |  Keenan AllenWR CHI | 453.2/gm | 27% | 5.7 |
| 5 |  Justin JeffersonWR MIN | 442.6/gm | 30% | 8.5 |
| 6 |  George PickensWR PIT | 443.1/gm | 30% | 6.9 |
| 7 |  CeeDee LambWRDAL | 433.3/gm | 25% | 6.9 |
| 8 |  Garrett WilsonWR NYJ | 422.5/gm | 26% | 7.4 |
| 9 |  Malik NabersWRNYG | 422.8/gm | 25% | 9.0 |
| 10 |  Jaxon Smith-NjigbaWR SEA | 412.7/gm | 28% | 8.2 |
| 11 |  Tyreek HillWRMIA | 412.9/gm | 26% | 5.4 |
| 12 |  Josh DownsWR IND | 392.8/gm | 28% | 7.5 |
| 13 |  Calvin RidleyWRTEN | 382.4/gm | 27% | 8.9 |
| 14 |  DJ MooreWRCHI | 382.5/gm | 23% | 7.2 |
| 15 | Ja'Marr ChaseWRCIN | 382.7/gm | 24% | 6.8 |
| 16 |  Jauan JenningsWRSF | 382.7/gm | 26% | 8.2 |
| 17 |  Darnell MooneyWRATL | 382.9/gm | 24% | 9.3 |
| 18 |  Jakobi MeyersWR LV | 362.6/gm | 23% | 8.6 |
| 19 |  Rome OdunzeWRCHI | 362.8/gm | 22% | 7.8 |
| 20 |  Elijah MooreWRCLE | 352.2/gm | 20% | 6.4 |
| 21 | Brian Thomas Jr.WRJAX | 352.5/gm | 24% | 10.1 |
| 22 | Jerry JeudyWRCLE | 352.7/gm | 20% | 7.8 |
| 23 |  Davante AdamsWRNYJ | 352.9/gm | 21% | 9.9 |
| 24 |  Tee HigginsWRCIN | 353.2/gm | 22% | 10.3 |
WR · Money downs (3rd+4th)
2024 full season, Weeks 1–18
- Money-down targets
- 633.7/gm
- Money-down target share
- 38%
- Money-down yards / target
- 5.1
- Money-down targets
- 513.2/gm
- Money-down target share
- 30%
- Money-down yards / target
- 9.2
- Money-down targets
- 483.2/gm
- Money-down target share
- 30%
- Money-down yards / target
- 7.0
- Money-down targets
- 453.2/gm
- Money-down target share
- 27%
- Money-down yards / target
- 5.7
- Money-down targets
- 442.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 8.5
- Money-down targets
- 443.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 6.9
- Money-down targets
- 433.3/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.9
- Money-down targets
- 422.5/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.4
- Money-down targets
- 422.8/gm
- Money-down target share
- 25%
- Money-down yards / target
- 9.0
- Money-down targets
- 412.7/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.2
- Money-down targets
- 412.9/gm
- Money-down target share
- 26%
- Money-down yards / target
- 5.4
- Money-down targets
- 392.8/gm
- Money-down target share
- 28%
- Money-down yards / target
- 7.5
- Money-down targets
- 382.4/gm
- Money-down target share
- 27%
- Money-down yards / target
- 8.9
- Money-down targets
- 382.7/gm
- Money-down target share
- 24%
- Money-down yards / target
- 6.8
- Money-down targets
- 382.7/gm
- Money-down target share
- 26%
- Money-down yards / target
- 8.2
- Money-down targets
- 382.9/gm
- Money-down target share
- 24%
- Money-down yards / target
- 9.3
- Money-down targets
- 362.6/gm
- Money-down target share
- 23%
- Money-down yards / target
- 8.6
- Money-down targets
- 362.8/gm
- Money-down target share
- 22%
- Money-down yards / target
- 7.8
- Money-down targets
- 352.2/gm
- Money-down target share
- 20%
- Money-down yards / target
- 6.4
- Money-down targets
- 352.5/gm
- Money-down target share
- 24%
- Money-down yards / target
- 10.1
- Money-down targets
- 352.7/gm
- Money-down target share
- 20%
- Money-down yards / target
- 7.8
- Money-down targets
- 352.9/gm
- Money-down target share
- 21%
- Money-down yards / target
- 9.9
- Money-down targets
- 353.2/gm
- Money-down target share
- 22%
- Money-down yards / target
- 10.3
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
2024 full season, Weeks 1–18
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Malik NabersWRNYG | 36% | 91% | 15 |
| 2 | A.J. BrownWRPHI | 34% | 87% | 13 |
| 3 | Puka NacuaWRLAR | 33% | 70% | 11 |
| 4 | Justin JeffersonWRMIN | 30% | 93% | 17 |
| 5 | Davante AdamsWRNYJ | 30% | 92% | 14 |
| 6 | CeeDee LambWRDAL | 29% | 80% | 15 |
| 7 | Drake LondonWRATL | 28% | 90% | 17 |
| 8 |  Chris GodwinWRTB | 28% | 87% | 7 |
| 9 |  DeVonta SmithWRPHI | 28% | 89% | 13 |
| 10 | George PickensWRPIT | 27% | 80% | 14 |
| 11 | Ja'Marr ChaseWRCIN | 27% | 92% | 17 |
| 12 | DJ MooreWRCHI | 27% | 94% | 17 |
| 13 |  Amon-Ra St. BrownWR DET | 27% | 88% | 17 |
| 14 | Jauan JenningsWRSF | 27% | 74% | 15 |
| 15 | Keenan AllenWRCHI | 27% | 87% | 15 |
| 16 | Tee HigginsWRCIN | 26% | 79% | 12 |
| 17 | Josh DownsWRIND | 26% | 64% | 14 |
| 18 | Garrett WilsonWRNYJ | 26% | 96% | 17 |
| 19 |  Zay FlowersWRBAL | 26% | 75% | 17 |
| 20 | Brian Thomas Jr.WRJAX | 26% | 79% | 17 |
| 21 |  Michael Pittman Jr.WRIND | 25% | 88% | 16 |
| 22 | Jakobi MeyersWRLV | 25% | 92% | 15 |
| 23 | Wan'Dale RobinsonWRNYG | 25% | 76% | 17 |
| 24 | Mike EvansWRTB | 25% | 72% | 14 |
WR · target share
2024 full season, Weeks 1–18
- Target share
- 36%
- Snap share (on-field participation)
- 91%
- Games
- 15
- Target share
- 34%
- Snap share (on-field participation)
- 87%
- Games
- 13
- Target share
- 33%
- Snap share (on-field participation)
- 70%
- Games
- 11
- Target share
- 30%
- Snap share (on-field participation)
- 93%
- Games
- 17
- Target share
- 30%
- Snap share (on-field participation)
- 92%
- Games
- 14
- Target share
- 29%
- Snap share (on-field participation)
- 80%
- Games
- 15
- Target share
- 28%
- Snap share (on-field participation)
- 90%
- Games
- 17
- Target share
- 28%
- Snap share (on-field participation)
- 87%
- Games
- 7
- Target share
- 28%
- Snap share (on-field participation)
- 89%
- Games
- 13
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 14
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 17
- Target share
- 27%
- Snap share (on-field participation)
- 88%
- Games
- 17
- Target share
- 27%
- Snap share (on-field participation)
- 74%
- Games
- 15
- Target share
- 27%
- Snap share (on-field participation)
- 87%
- Games
- 15
- Target share
- 26%
- Snap share (on-field participation)
- 79%
- Games
- 12
- Target share
- 26%
- Snap share (on-field participation)
- 64%
- Games
- 14
- Target share
- 26%
- Snap share (on-field participation)
- 96%
- Games
- 17
- Target share
- 26%
- Snap share (on-field participation)
- 75%
- Games
- 17
- Target share
- 26%
- Snap share (on-field participation)
- 79%
- Games
- 17
- Target share
- 25%
- Snap share (on-field participation)
- 88%
- Games
- 16
- Target share
- 25%
- Snap share (on-field participation)
- 92%
- Games
- 15
- Target share
- 25%
- Snap share (on-field participation)
- 76%
- Games
- 17
- Target share
- 25%
- Snap share (on-field participation)
- 72%
- Games
- 14
share of team targets: passing-game role Snap share is the honest on-field participation proxy for route participation — tank01 has no routes-run denominator, so this is real snap share, never a fabricated routes rate. Descriptive leaderboard, not a prediction.
Schedule strength by position
Easiest → hardest remaining schedule per team. Projected on 2025 defense. low-confidence early-season estimate.
WR · Rest-of-season schedule
Remaining opponents from week 2 forward — the trade/streaming horizon.
100 = league avg · >100 softer
| # ▲ | Team | Schedule | SOS index | Avg opp DvP | Games |
|---|---|---|---|---|---|
| 1 | PHI | Easy | 108 | 6.41 | 16 |
| 2 | HOU | Easy | 106 | 6.30 | 16 |
| 3 | JAX | Easy | 104 | 6.23 | 16 |
| 4 | MIN | Easy | 104 | 6.19 | 16 |
| 5 | DAL | Easy | 103 | 6.16 | 16 |
| 6 | TEN | Easy | 103 | 6.16 | 16 |
| 7 | SEA | Easy | 103 | 6.14 | 16 |
| 8 | WSH | Easy | 103 | 6.14 | 16 |
| 9 | CLE | Easy | 102 | 6.11 | 16 |
| 10 | NYG | Easy | 102 | 6.09 | 16 |
| 11 | ARI | Average | 102 | 6.09 | 16 |
| 12 | CIN | Average | 102 | 6.06 | 16 |
| 13 | GB | Average | 101 | 6.03 | 16 |
| 14 | TB | Average | 101 | 6.01 | 16 |
| 15 | BUF | Average | 100 | 5.97 | 16 |
| 16 | NO | Average | 100 | 5.97 | 16 |
| 17 | DET | Average | 100 | 5.96 | 16 |
| 18 | IND | Average | 99 | 5.90 | 16 |
| 19 | LAR | Average | 99 | 5.88 | 16 |
| 20 | SF | Average | 98 | 5.86 | 16 |
| 21 |  NE | Average | 98 | 5.85 | 16 |
| 22 | ATL | Average | 98 | 5.84 | 16 |
| 23 |  KC | Hard | 98 | 5.84 | 16 |
| 24 | DEN | Hard | 98 | 5.83 | 16 |
| 25 | MIA | Hard | 97 | 5.81 | 16 |
| 26 | LAC | Hard | 97 | 5.79 | 16 |
| 27 | BAL | Hard | 97 | 5.77 | 16 |
| 28 | CAR | Hard | 97 | 5.76 | 16 |
| 29 | CHI | Hard | 96 | 5.75 | 16 |
| 30 | PIT | Hard | 96 | 5.71 | 16 |
| 31 | NYJ | Hard | 95 | 5.66 | 16 |
| 32 | LV | Hard | 95 | 5.64 | 16 |
WR · Rest-of-season schedule
Remaining opponents from week 2 forward — the trade/streaming horizon.
100 = league avg · >100 softer
Easiest rank1ScheduleEasySOS index108Avg opp DvP6.41Games16
Easiest rank2ScheduleEasySOS index106Avg opp DvP6.30Games16
Easiest rank3ScheduleEasySOS index104Avg opp DvP6.23Games16
Easiest rank4ScheduleEasySOS index104Avg opp DvP6.19Games16
Easiest rank5ScheduleEasySOS index103Avg opp DvP6.16Games16
Easiest rank6ScheduleEasySOS index103Avg opp DvP6.16Games16
Easiest rank7ScheduleEasySOS index103Avg opp DvP6.14Games16
Easiest rank8ScheduleEasySOS index103Avg opp DvP6.14Games16
Easiest rank9ScheduleEasySOS index102Avg opp DvP6.11Games16
Easiest rank10ScheduleEasySOS index102Avg opp DvP6.09Games16
Easiest rank11ScheduleAverageSOS index102Avg opp DvP6.09Games16
Easiest rank12ScheduleAverageSOS index102Avg opp DvP6.06Games16
Easiest rank13ScheduleAverageSOS index101Avg opp DvP6.03Games16
Easiest rank14ScheduleAverageSOS index101Avg opp DvP6.01Games16
Easiest rank15ScheduleAverageSOS index100Avg opp DvP5.97Games16
Easiest rank16ScheduleAverageSOS index100Avg opp DvP5.97Games16
Easiest rank17ScheduleAverageSOS index100Avg opp DvP5.96Games16
Easiest rank18ScheduleAverageSOS index99Avg opp DvP5.90Games16
Easiest rank19ScheduleAverageSOS index99Avg opp DvP5.88Games16
Easiest rank20ScheduleAverageSOS index98Avg opp DvP5.86Games16
Easiest rank21ScheduleAverageSOS index98Avg opp DvP5.85Games16
Easiest rank22ScheduleAverageSOS index98Avg opp DvP5.84Games16
Easiest rank23ScheduleHardSOS index98Avg opp DvP5.84Games16
Easiest rank24ScheduleHardSOS index98Avg opp DvP5.83Games16
Easiest rank25ScheduleHardSOS index97Avg opp DvP5.81Games16
Easiest rank26ScheduleHardSOS index97Avg opp DvP5.79Games16
Easiest rank27ScheduleHardSOS index97Avg opp DvP5.77Games16
Easiest rank28ScheduleHardSOS index97Avg opp DvP5.76Games16
Easiest rank29ScheduleHardSOS index96Avg opp DvP5.75Games16
Easiest rank30ScheduleHardSOS index96Avg opp DvP5.71Games16
Easiest rank31ScheduleHardSOS index95Avg opp DvP5.66Games16
Easiest rank32ScheduleHardSOS index95Avg opp DvP5.64Games16
100 = league-average schedule for the position; >100 softer, <100 tougher. sos_index = mean(opponent dvp / league-mean dvp for the position) × 100, so it is comparable across positions.
Pick a position to see per-metric leader cards.
Leaderboards are descriptive. For accountable start/sit calls, see Calls.