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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 10, 2023Point-in-time: aggregates Weeks 1–10 only. Uses no game after Week 10.
357 players · 5 metrics · click a column to sort
Stat leaders
357 players
Stat leaders
357 players
Josh JacobsRBOUTTeamLVGames10Opportunities231Snap share77%Target share15%Fantasy points (PPR)146Opportunity Score (proxy)0.68
TeamSFGames9Opportunities200Snap share82%Target share21%Fantasy points (PPR)221Opportunity Score (proxy)0.63
TeamJAXGames9Opportunities199Snap share79%Target share13%Fantasy points (PPR)170Opportunity Score (proxy)0.59
TeamNEGames10Opportunities171Snap share64%Target share15%Fantasy points (PPR)121Opportunity Score (proxy)0.52
TeamNYGGames7Opportunities171Snap share78%Target share19%Fantasy points (PPR)106Opportunity Score (proxy)0.46
TeamTENGames9Opportunities170Snap share·Target share·Fantasy points (PPR)126Opportunity Score (proxy)0.54
TeamCINGames9Opportunities170Snap share74%Target share·Fantasy points (PPR)119Opportunity Score (proxy)0.59
TeamDALGames9Opportunities170Snap share70%Target share12%Fantasy points (PPR)113Opportunity Score (proxy)0.49
TeamPHIGames9Opportunities170Snap share60%Target share12%Fantasy points (PPR)130Opportunity Score (proxy)0.47
TeamTBGames9Opportunities169Snap share78%Target share12%Fantasy points (PPR)133Opportunity Score (proxy)0.53
TeamATLGames10Opportunities168Snap share66%Target share14%Fantasy points (PPR)131Opportunity Score (proxy)·
TeamSEAGames9Opportunities167Snap share60%Target share·Fantasy points (PPR)135Opportunity Score (proxy)0.54
TeamMINGames10Opportunities166Snap share64%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.50
Alvin KamaraRBOUTTeamNOGames7Opportunities160Snap share68%Target share25%Fantasy points (PPR)143Opportunity Score (proxy)0.46
TeamINDGames9Opportunities153Snap share57%Target share·Fantasy points (PPR)128Opportunity Score (proxy)·
TeamCLEGames9Opportunities153Snap share·Target share10%Fantasy points (PPR)112Opportunity Score (proxy)0.40
Isiah PachecoRBIRTeamKCGames9Opportunities152Snap share55%Target share·Fantasy points (PPR)117Opportunity Score (proxy)0.48
TeamBUFGames10Opportunities148Snap share55%Target share·Fantasy points (PPR)118Opportunity Score (proxy)0.43
TeamWSHGames10Opportunities145Snap share·Target share·Fantasy points (PPR)142Opportunity Score (proxy)0.54
TeamATLGames10Opportunities142Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
Najee HarrisRBOUTTeamPITGames9Opportunities141Snap share·Target share11%Fantasy points (PPR)·Opportunity Score (proxy)0.47
TeamNYJGames9Opportunities141Snap share·Target share12%Fantasy points (PPR)121Opportunity Score (proxy)·
TeamDENGames8Opportunities137Snap share·Target share12%Fantasy points (PPR)·Opportunity Score (proxy)0.45
TeamMIAGames9Opportunities133Snap share58%Target share·Fantasy points (PPR)171Opportunity Score (proxy)0.44
TeamBUFGames10Opportunities102Snap share87%Target share32%Fantasy points (PPR)202Opportunity Score (proxy)0.70
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 10, 2023
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Tyler BoydWR CIN | +1.84 | 92%from 86% | 3 wk57 snaps |
| 2 |  A.T. PerryWR NO | +1.68 | 84%from 40% | 3 wk27 snaps |
| 3 |  Tank DellWR HOU | +1.62 | 96%from 86% | 3 wk59 snaps |
| 4 |  Jalen TolbertWR DAL | +1.45 | 62%from 49% | 3 wk36 snaps |
| 5 |  Terrace Marshall Jr.WR CAR | +1.31 | 78%from 43% | 3 wk27 snaps |
| 6 |  Trenton IrwinWRCIN | +1.31 | 81%from 43% | 3 wk28 snaps |
| 7 |  Chris MooreWR TEN | +1.27 | 83%from 55% | 3 wk37 snaps |
| 8 |  Christian KirkWR JAX | +1.26 | 89%from 78% | 3 wk48 snaps |
| 9 |  Tutu AtwellWR LAR | +1.04 | 67%from 79% | 3 wk50 snaps |
| 10 | IMIsaiah McKenzieWR IND | +0.97 | 46%from 28% | 4 wk17 snaps |
| 11 |  Courtland SuttonWR DEN | +0.96 | 87%from 84% | 3 wk57 snaps |
| 12 |  Xavier GipsonWR NYJ | +0.82 | 68%from 50% | 3 wk36 snaps |
| 13 |  Brandin CooksWRDAL | +0.72 | 53%from 64% | 3 wk46 snaps |
| 14 | KPKyle PhilipsWRTEN | +0.63 | 35%from 30% | 3 wk21 snaps |
| 15 |  Jonathan MingoWRCAR | +0.61 | 98%from 99% | 3 wk65 snaps |
| 16 |  JuJu Smith-SchusterWR NE | +0.56 | 99%from 56% | 3 wk36 snaps |
| 17 |  John Metchie IIIWRHOU | +0.53 | 25%from 17% | 3 wk12 snaps |
| 18 |  Cedrick Wilson Jr.WR MIA | +0.51 | 65%from 51% | 3 wk31 snaps |
| 19 |  DeAndre HopkinsWRTEN | +0.50 | 79%from 70% | 3 wk48 snaps |
| 20 |  Rashod BatemanWR BAL | +0.47 | 74%from 60% | 4 wk38 snaps |
| 21 |  Darius SlaytonWR NYG | +0.45 | 79%from 86% | 4 wk57 snaps |
| 22 |  Quentin JohnstonWR LAC | +0.44 | 85%from 73% | 4 wk48 snaps |
| 23 |  Nick Westbrook-IkhineWRTEN | +0.43 | 62%from 57% | 3 wk39 snaps |
| 24 |  CeeDee LambWRDAL | +0.43 | 77%from 84% | 3 wk61 snaps |
WR · Risers
As of Week 10, 2023
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +1.84
- Now
- 92%from 86%
- Window
- 3 wk57 snaps
- Momentum (z/wk)
- +1.68
- Now
- 84%from 40%
- Window
- 3 wk27 snaps
- Momentum (z/wk)
- +1.45
- Now
- 62%from 49%
- Window
- 3 wk36 snaps
- Momentum (z/wk)
- +1.31
- Now
- 78%from 43%
- Window
- 3 wk27 snaps
- Momentum (z/wk)
- +1.31
- Now
- 81%from 43%
- Window
- 3 wk28 snaps
- Momentum (z/wk)
- +1.27
- Now
- 83%from 55%
- Window
- 3 wk37 snaps
- Momentum (z/wk)
- +1.26
- Now
- 89%from 78%
- Window
- 3 wk48 snaps
- Momentum (z/wk)
- +1.04
- Now
- 67%from 79%
- Window
- 3 wk50 snaps
- Momentum (z/wk)
- +0.97
- Now
- 46%from 28%
- Window
- 4 wk17 snaps
- Momentum (z/wk)
- +0.96
- Now
- 87%from 84%
- Window
- 3 wk57 snaps
- Momentum (z/wk)
- +0.82
- Now
- 68%from 50%
- Window
- 3 wk36 snaps
- Momentum (z/wk)
- +0.72
- Now
- 53%from 64%
- Window
- 3 wk46 snaps
KPKyle PhilipsWRTEN
TEN- Momentum (z/wk)
- +0.63
- Now
- 35%from 30%
- Window
- 3 wk21 snaps
- Momentum (z/wk)
- +0.61
- Now
- 98%from 99%
- Window
- 3 wk65 snaps
- Momentum (z/wk)
- +0.56
- Now
- 99%from 56%
- Window
- 3 wk36 snaps
- Momentum (z/wk)
- +0.53
- Now
- 25%from 17%
- Window
- 3 wk12 snaps
- Momentum (z/wk)
- +0.51
- Now
- 65%from 51%
- Window
- 3 wk31 snaps
- Momentum (z/wk)
- +0.50
- Now
- 79%from 70%
- Window
- 3 wk48 snaps
- Momentum (z/wk)
- +0.47
- Now
- 74%from 60%
- Window
- 4 wk38 snaps
- Momentum (z/wk)
- +0.45
- Now
- 79%from 86%
- Window
- 4 wk57 snaps
- Momentum (z/wk)
- +0.44
- Now
- 85%from 73%
- Window
- 4 wk48 snaps
- Momentum (z/wk)
- +0.43
- Now
- 62%from 57%
- Window
- 3 wk39 snaps
- Momentum (z/wk)
- +0.43
- Now
- 77%from 84%
- Window
- 3 wk61 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 |  Tyreek HillWRMIA | 22%43% | +21 | 3 |
| 2 |  Justice HillRBBAL | 5%24% | +19 | 3 |
| 3 |  Bo MeltonWR GB | 6%24% | +18 | 3 |
| 4 |  Brandon JohnsonWRDEN | 1%17% | +16 | 3 |
| 5 |  Brian Robinson Jr.RB WSH | 0%15% | +15 | 2 |
| 6 |  Andrei IosivasWRCIN | 2%15% | +13 | 3 |
| 7 |  Mike GesickiTENE | 3%16% | +13 | 3 |
| 8 |  Joshua PalmerWRLAC | 13%25% | +12 | 2 |
| 9 |  Johnny MundtTE MIN | 3%15% | +12 | 3 |
| 10 |  Justin JeffersonWRMIN | 20%31% | +11 | 3 |
| 11 |  Austin HooperTE LV | 3%14% | +10 | 3 |
| 12 |  Evan EngramTEJAX | 21%31% | +10 | 3 |
| 13 |  Zay FlowersWRBAL | 17%27% | +10 | 2 |
| 14 |  DJ Chark Jr.WRCAR | 12%22% | +10 | 3 |
| 15 |  Khalil ShakirWR BUF | 5%15% | +10 | 3 |
| 16 |  Van JeffersonWR ATL | 2%11% | +10 | 3 |
| 17 |  Juwan JohnsonTENO | 13%23% | +9 | 3 |
| 18 |  Michael WilsonWR ARI | 8%17% | +9 | 3 |
| 19 |  Khalil HerbertRB CHI | 1%11% | +9 | 3 |
| 20 |  Christian McCaffreyRB SF | 14%22% | +9 | 2 |
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
- Baseline → recent target share
- 22%43%
- Change in target share (points)
- +21
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 5%24%
- Change in target share (points)
- +19
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 6%24%
- Change in target share (points)
- +18
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 1%17%
- Change in target share (points)
- +16
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 0%15%
- Change in target share (points)
- +15
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 2%15%
- 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
- 13%25%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 3%15%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 20%31%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 3%14%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 21%31%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 17%27%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 12%22%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 5%15%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 2%11%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 13%23%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 8%17%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 1%11%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 14%22%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 2
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 10, 2023
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 |  Chris OlaveWRNO | 343.4/gm | 31% | 6.6 |
| 2 |  Puka NacuaWRLAR | 324.0/gm | 36% | 9.5 |
| 3 |  Keenan AllenWRLAC | 293.2/gm | 33% | 11.1 |
| 4 |  Adam ThielenWRCAR | 283.1/gm | 32% | 8.0 |
| 5 |  Stefon DiggsWRBUF | 262.9/gm | 33% | 5.3 |
| 6 |  Michael Pittman Jr.WRIND | 252.5/gm | 25% | 6.2 |
| 7 |  DJ MooreWRCHI | 252.8/gm | 28% | 10.2 |
| 8 |  Josh DownsWRIND | 242.4/gm | 24% | 12.1 |
| 9 |  Jordan AddisonWRMIN | 242.7/gm | 21% | 10.7 |
| 10 |  Drake LondonWRATL | 243.0/gm | 25% | 6.6 |
| 11 |  Davante AdamsWRLV | 232.3/gm | 28% | 8.2 |
| 12 |  Romeo DoubsWRGB | 232.6/gm | 23% | 6.1 |
| 13 |  A.J. BrownWR PHI | 232.6/gm | 34% | 12.6 |
| 14 | Christian KirkWRJAX | 222.4/gm | 28% | 8.4 |
| 15 |  George PickensWR PIT | 222.4/gm | 28% | 6.7 |
| 16 |  Ja'Marr ChaseWRCIN | 222.8/gm | 25% | 6.3 |
| 17 |  Elijah MooreWR CLE | 222.8/gm | 24% | 5.5 |
| 18 | CeeDee LambWRDAL | 222.8/gm | 25% | 15.1 |
| 19 | Zay FlowersWRBAL | 222.8/gm | 30% | 6.1 |
| 20 | Tyreek HillWRMIA | 222.8/gm | 27% | 11.6 |
| 21 |  Mike EvansWR TB | 222.8/gm | 25% | 9.5 |
| 22 |  Chris GodwinWRTB | 222.8/gm | 25% | 11.7 |
| 23 | DeAndre HopkinsWRTEN | 222.8/gm | 27% | 6.7 |
| 24 |  Tyler LockettWR SEA | 212.3/gm | 25% | 5.6 |
WR · Money downs (3rd+4th)
As of Week 10, 2023
- Money-down targets
- 343.4/gm
- Money-down target share
- 31%
- Money-down yards / target
- 6.6
- Money-down targets
- 324.0/gm
- Money-down target share
- 36%
- Money-down yards / target
- 9.5
- Money-down targets
- 293.2/gm
- Money-down target share
- 33%
- Money-down yards / target
- 11.1
- Money-down targets
- 283.1/gm
- Money-down target share
- 32%
- Money-down yards / target
- 8.0
- Money-down targets
- 262.9/gm
- Money-down target share
- 33%
- Money-down yards / target
- 5.3
- Money-down targets
- 252.5/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.2
- Money-down targets
- 242.4/gm
- Money-down target share
- 24%
- Money-down yards / target
- 12.1
- Money-down targets
- 242.7/gm
- Money-down target share
- 21%
- Money-down yards / target
- 10.7
- Money-down targets
- 243.0/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.6
- Money-down targets
- 232.3/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.2
- Money-down targets
- 232.6/gm
- Money-down target share
- 23%
- Money-down yards / target
- 6.1
- Money-down targets
- 232.6/gm
- Money-down target share
- 34%
- Money-down yards / target
- 12.6
- Money-down targets
- 222.4/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.4
- Money-down targets
- 222.4/gm
- Money-down target share
- 28%
- Money-down yards / target
- 6.7
- Money-down targets
- 222.8/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.3
- Money-down targets
- 222.8/gm
- Money-down target share
- 24%
- Money-down yards / target
- 5.5
- Money-down targets
- 222.8/gm
- Money-down target share
- 25%
- Money-down yards / target
- 15.1
- Money-down targets
- 222.8/gm
- Money-down target share
- 30%
- Money-down yards / target
- 6.1
- Money-down targets
- 222.8/gm
- Money-down target share
- 27%
- Money-down yards / target
- 11.6
- Money-down targets
- 222.8/gm
- Money-down target share
- 25%
- Money-down yards / target
- 9.5
- Money-down targets
- 222.8/gm
- Money-down target share
- 25%
- Money-down yards / target
- 11.7
- Money-down targets
- 222.8/gm
- Money-down target share
- 27%
- Money-down yards / target
- 6.7
- Money-down targets
- 212.3/gm
- Money-down target share
- 25%
- Money-down yards / target
- 5.6
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 10, 2023
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Tyreek HillWRMIA | 36% | 69% | 9 |
| 2 |  Garrett WilsonWRNYJ | 34% | 92% | 9 |
| 3 |  Cooper KuppWRLAR | 34% | 96% | 5 |
| 4 | A.J. BrownWRPHI | 34% | 93% | 9 |
| 5 | Chris OlaveWRNO | 33% | 79% | 10 |
| 6 | Puka NacuaWRLAR | 33% | 91% | 9 |
| 7 | Stefon DiggsWRBUF | 32% | 87% | 10 |
| 8 | Davante AdamsWRLV | 32% | 91% | 10 |
| 9 |  Amon-Ra St. BrownWR DET | 32% | 90% | 8 |
| 10 | Michael Pittman Jr.WRIND | 31% | 97% | 10 |
| 11 | Keenan AllenWRLAC | 30% | 87% | 9 |
| 12 | Justin JeffersonWRMIN | 30% | 92% | 5 |
| 13 | Ja'Marr ChaseWRCIN | 30% | 92% | 9 |
| 14 |  Diontae JohnsonWRPIT | 28% | 74% | 5 |
| 15 |  Brandon AiyukWRSF | 28% | 81% | 8 |
| 16 | DJ MooreWRCHI | 28% | 93% | 10 |
| 17 | DeAndre HopkinsWRTEN | 28% | 72% | 9 |
| 18 |  Hollywood BrownWRARI | 27% | 92% | 10 |
| 19 | Adam ThielenWRCAR | 27% | 92% | 9 |
| 20 | CeeDee LambWRDAL | 27% | 78% | 9 |
| 21 | Zay FlowersWRBAL | 27% | 84% | 10 |
| 22 | George PickensWRPIT | 26% | 91% | 9 |
| 23 |  Terry McLaurinWRWSH | 26% | 85% | 10 |
| 24 |  Amari CooperWRCLE | 26% | 80% | 9 |
WR · target share
As of Week 10, 2023
- Target share
- 36%
- Snap share (on-field participation)
- 69%
- Games
- 9
- Target share
- 34%
- Snap share (on-field participation)
- 92%
- Games
- 9
- Target share
- 34%
- Snap share (on-field participation)
- 96%
- Games
- 5
- Target share
- 34%
- Snap share (on-field participation)
- 93%
- Games
- 9
- Target share
- 33%
- Snap share (on-field participation)
- 79%
- Games
- 10
- Target share
- 33%
- Snap share (on-field participation)
- 91%
- Games
- 9
- Target share
- 32%
- Snap share (on-field participation)
- 87%
- Games
- 10
- Target share
- 32%
- Snap share (on-field participation)
- 91%
- Games
- 10
- Target share
- 32%
- Snap share (on-field participation)
- 90%
- Games
- 8
- Target share
- 31%
- Snap share (on-field participation)
- 97%
- Games
- 10
- Target share
- 30%
- Snap share (on-field participation)
- 87%
- Games
- 9
- Target share
- 30%
- Snap share (on-field participation)
- 92%
- Games
- 5
- Target share
- 30%
- Snap share (on-field participation)
- 92%
- Games
- 9
- Target share
- 28%
- Snap share (on-field participation)
- 74%
- Games
- 5
- Target share
- 28%
- Snap share (on-field participation)
- 81%
- Games
- 8
- Target share
- 28%
- Snap share (on-field participation)
- 72%
- Games
- 9
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 10
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 9
- Target share
- 27%
- Snap share (on-field participation)
- 78%
- Games
- 9
- Target share
- 27%
- Snap share (on-field participation)
- 84%
- Games
- 10
- Target share
- 26%
- Snap share (on-field participation)
- 91%
- Games
- 9
- Target share
- 26%
- Snap share (on-field participation)
- 85%
- Games
- 10
- Target share
- 26%
- Snap share (on-field participation)
- 80%
- Games
- 9
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.