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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
Season-to-date2023 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
TeamSFGames16Opportunities355Snap share82%Target share20%Fantasy points (PPR)391Opportunity Score (proxy)0.60
TeamTBGames17Opportunities342Snap share78%Target share13%Fantasy points (PPR)268Opportunity Score (proxy)0.56
TeamJAXGames17Opportunities340Snap share73%Target share12%Fantasy points (PPR)282Opportunity Score (proxy)0.54
TeamCINGames17Opportunities321Snap share69%Target share11%Fantasy points (PPR)267Opportunity Score (proxy)0.57
TeamDALGames17Opportunities319Snap share71%Target share12%Fantasy points (PPR)223Opportunity Score (proxy)0.50
TeamNYJGames17Opportunities318Snap share59%Target share17%Fantasy points (PPR)291Opportunity Score (proxy)·
TeamTENGames17Opportunities316Snap share·Target share·Fantasy points (PPR)247Opportunity Score (proxy)0.51
TeamNYGGames14Opportunities307Snap share79%Target share17%Fantasy points (PPR)223Opportunity Score (proxy)0.56
TeamATLGames17Opportunities300Snap share68%Target share17%Fantasy points (PPR)246Opportunity Score (proxy)0.47
Najee HarrisRBOUTTeamPITGames17Opportunities293Snap share·Target share·Fantasy points (PPR)196Opportunity Score (proxy)0.45
TeamBUFGames17Opportunities291Snap share55%Target share·Fantasy points (PPR)233Opportunity Score (proxy)0.47
Josh JacobsRBOUTTeamLVGames13Opportunities287Snap share76%Target share14%Fantasy points (PPR)·Opportunity Score (proxy)0.50
TeamCARGames17Opportunities282Snap share60%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.45
TeamPHIGames16Opportunities278Snap share58%Target share·Fantasy points (PPR)199Opportunity Score (proxy)·
TeamLARGames12Opportunities276Snap share83%Target share11%Fantasy points (PPR)255Opportunity Score (proxy)0.43
TeamDENGames16Opportunities275Snap share·Target share13%Fantasy points (PPR)·Opportunity Score (proxy)0.52
TeamCLEGames17Opportunities267Snap share·Target share·Fantasy points (PPR)211Opportunity Score (proxy)·
Alvin KamaraRBOUTTeamNOGames13Opportunities266Snap share62%Target share22%Fantasy points (PPR)233Opportunity Score (proxy)0.46
TeamSEAGames15Opportunities256Snap share·Target share·Fantasy points (PPR)199Opportunity Score (proxy)0.45
TeamHOUGames17Opportunities254Snap share56%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.43
Isiah PachecoRBIRTeamKCGames14Opportunities254Snap share61%Target share11%Fantasy points (PPR)214Opportunity Score (proxy)0.44
TeamDETGames15Opportunities253Snap share56%Target share14%Fantasy points (PPR)242Opportunity Score (proxy)0.48
TeamLACGames14Opportunities253Snap share66%Target share15%Fantasy points (PPR)·Opportunity Score (proxy)0.44
TeamNEGames17Opportunities249Snap share·Target share15%Fantasy points (PPR)·Opportunity Score (proxy)0.45
TeamDALGames17Opportunities195Snap share84%Target share30%Fantasy points (PPR)403Opportunity Score (proxy)0.71
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
2023 · trailing 4-week window
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Tutu AtwellWR LAR | +2.32 | 93%from 35% | 3 wk23 snaps |
| 2 |  Quez WatkinsWR PHI | +2.13 | 98%from 50% | 3 wk34 snaps |
| 3 |  Laquon TreadwellWR BAL | +1.41 | 75%from 28% | 3 wk16 snaps |
| 4 |  Chris ConleyWR SF | +1.38 | 70%from 32% | 4 wk21 snaps |
| 5 |  Britain CoveyWRPHI | +1.33 | 54%from 18% | 3 wk12 snaps |
| 6 |  Justyn RossWR KC | +1.24 | 66%from 31% | 3 wk18 snaps |
| 7 |  Bo MeltonWR GB | +1.24 | 75%from 52% | 4 wk34 snaps |
| 8 |  David BellWR CLE | +1.21 | 98%from 47% | 4 wk28 snaps |
| 9 |  Josh ReynoldsWR DET | +1.17 | 88%from 69% | 4 wk46 snaps |
| 10 |  Brandin CooksWR DAL | +1.15 | 79%from 78% | 4 wk51 snaps |
| 11 |  Drake LondonWR ATL | +1.14 | 75%from 80% | 4 wk47 snaps |
| 12 |  James Proche IIWRCLE | +1.10 | 94%from 24% | 4 wk13 snaps |
| 13 |  Nico CollinsWR HOU | +1.09 | 84%from 64% | 3 wk40 snaps |
| 14 |  Olamide ZaccheausWRPHI | +1.08 | 82%from 31% | 4 wk21 snaps |
| 15 |  Tyquan ThorntonWR NE | +1.07 | 70%from 31% | 3 wk16 snaps |
| 16 |  CeeDee LambWRDAL | +1.05 | 85%from 92% | 4 wk60 snaps |
| 17 |  Andrei IosivasWR CIN | +1.02 | 92%from 54% | 4 wk36 snaps |
| 18 |  Ronnie BellWRSF | +0.98 | 62%from 24% | 4 wk15 snaps |
| 19 |  Joshua PalmerWR LAC | +0.94 | 58%from 74% | 3 wk53 snaps |
| 20 |  Michael Pittman Jr.WR IND | +0.82 | 100%from 73% | 3 wk46 snaps |
| 21 |  Marquez Valdes-ScantlingWRKC | +0.80 | 70%from 61% | 3 wk40 snaps |
| 22 |  Davante AdamsWR LV | +0.79 | 94%from 91% | 4 wk59 snaps |
| 23 |  Trent Sherfield Sr.WR BUF | +0.78 | 71%from 54% | 4 wk37 snaps |
| 24 |  Khalil ShakirWRBUF | +0.78 | 77%from 66% | 4 wk45 snaps |
WR · Risers
2023 · trailing 4-week window
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.32
- Now
- 93%from 35%
- Window
- 3 wk23 snaps
- Momentum (z/wk)
- +2.13
- Now
- 98%from 50%
- Window
- 3 wk34 snaps
- Momentum (z/wk)
- +1.41
- Now
- 75%from 28%
- Window
- 3 wk16 snaps
- Momentum (z/wk)
- +1.38
- Now
- 70%from 32%
- Window
- 4 wk21 snaps
- Momentum (z/wk)
- +1.33
- Now
- 54%from 18%
- Window
- 3 wk12 snaps
- Momentum (z/wk)
- +1.24
- Now
- 66%from 31%
- Window
- 3 wk18 snaps
- Momentum (z/wk)
- +1.21
- Now
- 98%from 47%
- Window
- 4 wk28 snaps
- Momentum (z/wk)
- +1.17
- Now
- 88%from 69%
- Window
- 4 wk46 snaps
- Momentum (z/wk)
- +1.15
- Now
- 79%from 78%
- Window
- 4 wk51 snaps
- Momentum (z/wk)
- +1.14
- Now
- 75%from 80%
- Window
- 4 wk47 snaps
- Momentum (z/wk)
- +1.10
- Now
- 94%from 24%
- Window
- 4 wk13 snaps
- Momentum (z/wk)
- +1.09
- Now
- 84%from 64%
- Window
- 3 wk40 snaps
- Momentum (z/wk)
- +1.08
- Now
- 82%from 31%
- Window
- 4 wk21 snaps
- Momentum (z/wk)
- +1.07
- Now
- 70%from 31%
- Window
- 3 wk16 snaps
- Momentum (z/wk)
- +1.05
- Now
- 85%from 92%
- Window
- 4 wk60 snaps
- Momentum (z/wk)
- +1.02
- Now
- 92%from 54%
- Window
- 4 wk36 snaps
- Momentum (z/wk)
- +0.98
- Now
- 62%from 24%
- Window
- 4 wk15 snaps
- Momentum (z/wk)
- +0.94
- Now
- 58%from 74%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +0.82
- Now
- 100%from 73%
- Window
- 3 wk46 snaps
- Momentum (z/wk)
- +0.80
- Now
- 70%from 61%
- Window
- 3 wk40 snaps
- Momentum (z/wk)
- +0.79
- Now
- 94%from 91%
- Window
- 4 wk59 snaps
- Momentum (z/wk)
- +0.78
- Now
- 71%from 54%
- Window
- 4 wk37 snaps
- Momentum (z/wk)
- +0.78
- Now
- 77%from 66%
- Window
- 4 wk45 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 HillWR MIA | 22%43% | +21 | 3 |
| 2 |  Justice HillRBBAL | 5%24% | +19 | 3 |
| 3 | Bo MeltonWRGB | 6%24% | +18 | 3 |
| 4 |  Brandon JohnsonWR DEN | 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 HooperTELV | 3%14% | +10 | 3 |
| 12 |  Evan EngramTE JAX | 21%31% | +10 | 3 |
| 13 |  Zay FlowersWRBAL | 17%27% | +10 | 2 |
| 14 |  DJ Chark Jr.WR CAR | 12%22% | +10 | 3 |
| 15 | Khalil ShakirWRBUF | 5%15% | +10 | 3 |
| 16 |  Van JeffersonWRATL | 2%11% | +10 | 3 |
| 17 |  Juwan JohnsonTE NO | 13%23% | +9 | 3 |
| 18 |  Michael WilsonWR ARI | 8%17% | +9 | 3 |
| 19 |  Khalil HerbertRB CHI | 1%11% | +9 | 3 |
| 20 |  Christian McCaffreyRBSF | 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)
2023 full season, Weeks 1–18
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 |  DJ MooreWRCHI | 523.3/gm | 34% | 9.8 |
| 2 |  Adam ThielenWRCAR | 502.9/gm | 29% | 7.5 |
| 3 |  Chris GodwinWR TB | 503.1/gm | 29% | 9.8 |
| 4 |  Chris OlaveWRNO | 503.1/gm | 29% | 7.7 |
| 5 | CeeDee LambWRDAL | 493.1/gm | 30% | 13.4 |
| 6 | Tyreek HillWRMIA | 493.3/gm | 30% | 11.0 |
| 7 | Davante AdamsWRLV | 472.8/gm | 31% | 7.3 |
| 8 |  Puka NacuaWRLAR | 472.9/gm | 30% | 10.6 |
| 9 |  Mike EvansWRTB | 462.9/gm | 27% | 8.9 |
| 10 |  Keenan AllenWRLAC | 443.4/gm | 25% | 8.3 |
| 11 |  Garrett WilsonWR NYJ | 432.5/gm | 32% | 4.8 |
| 12 |  Jaxon Smith-NjigbaWR SEA | 412.4/gm | 26% | 6.6 |
| 13 |  Terry McLaurinWRWSH | 412.7/gm | 26% | 7.2 |
| 14 | Nico CollinsWRHOU | 412.9/gm | 26% | 13.3 |
| 15 |  A.J. BrownWRPHI | 402.7/gm | 30% | 11.2 |
| 16 |  Amari CooperWRCLE | 402.9/gm | 23% | 8.4 |
| 17 |  Diontae JohnsonWR PIT | 382.9/gm | 24% | 7.6 |
| 18 | Drake LondonWRATL | 372.6/gm | 24% | 6.9 |
| 19 |  Tyler LockettWRSEA | 362.3/gm | 23% | 6.6 |
| 20 |  Jordan AddisonWRMIN | 362.3/gm | 20% | 9.4 |
| 21 |  Jakobi MeyersWRLV | 362.6/gm | 23% | 7.1 |
| 22 | Michael Pittman Jr.WRIND | 352.3/gm | 23% | 8.1 |
| 23 |  Josh DownsWRIND | 342.3/gm | 22% | 10.9 |
| 24 |  George PickensWRPIT | 342.3/gm | 22% | 9.5 |
WR · Money downs (3rd+4th)
2023 full season, Weeks 1–18
- Money-down targets
- 502.9/gm
- Money-down target share
- 29%
- Money-down yards / target
- 7.5
- Money-down targets
- 503.1/gm
- Money-down target share
- 29%
- Money-down yards / target
- 9.8
- Money-down targets
- 503.1/gm
- Money-down target share
- 29%
- Money-down yards / target
- 7.7
- Money-down targets
- 493.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 13.4
- Money-down targets
- 493.3/gm
- Money-down target share
- 30%
- Money-down yards / target
- 11.0
- Money-down targets
- 472.8/gm
- Money-down target share
- 31%
- Money-down yards / target
- 7.3
- Money-down targets
- 472.9/gm
- Money-down target share
- 30%
- Money-down yards / target
- 10.6
- Money-down targets
- 462.9/gm
- Money-down target share
- 27%
- Money-down yards / target
- 8.9
- Money-down targets
- 443.4/gm
- Money-down target share
- 25%
- Money-down yards / target
- 8.3
- Money-down targets
- 432.5/gm
- Money-down target share
- 32%
- Money-down yards / target
- 4.8
- Money-down targets
- 412.4/gm
- Money-down target share
- 26%
- Money-down yards / target
- 6.6
- Money-down targets
- 412.7/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.2
- Money-down targets
- 412.9/gm
- Money-down target share
- 26%
- Money-down yards / target
- 13.3
- Money-down targets
- 402.7/gm
- Money-down target share
- 30%
- Money-down yards / target
- 11.2
- Money-down targets
- 402.9/gm
- Money-down target share
- 23%
- Money-down yards / target
- 8.4
- Money-down targets
- 382.9/gm
- Money-down target share
- 24%
- Money-down yards / target
- 7.6
- Money-down targets
- 372.6/gm
- Money-down target share
- 24%
- Money-down yards / target
- 6.9
- Money-down targets
- 362.3/gm
- Money-down target share
- 23%
- Money-down yards / target
- 6.6
- Money-down targets
- 362.3/gm
- Money-down target share
- 20%
- Money-down yards / target
- 9.4
- Money-down targets
- 362.6/gm
- Money-down target share
- 23%
- Money-down yards / target
- 7.1
- Money-down targets
- 352.3/gm
- Money-down target share
- 23%
- Money-down yards / target
- 8.1
- Money-down targets
- 342.3/gm
- Money-down target share
- 22%
- Money-down yards / target
- 10.9
- Money-down targets
- 342.3/gm
- Money-down target share
- 22%
- Money-down yards / target
- 9.5
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
2023 full season, Weeks 1–18
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Tyreek HillWRMIA | 36% | 67% | 16 |
| 2 | Davante AdamsWRLV | 33% | 92% | 17 |
| 3 | A.J. BrownWRPHI | 31% | 89% | 17 |
| 4 | Keenan AllenWRLAC | 31% | 89% | 13 |
| 5 |  Stefon DiggsWRBUF | 31% | 81% | 17 |
| 6 | DJ MooreWRCHI | 31% | 91% | 17 |
| 7 | Garrett WilsonWRNYJ | 31% | 92% | 17 |
| 8 | Michael Pittman Jr.WRIND | 31% | 92% | 16 |
| 9 |  Amon-Ra St. BrownWRDET | 30% | 90% | 16 |
| 10 | Puka NacuaWRLAR | 30% | 87% | 17 |
| 11 | Chris OlaveWRNO | 30% | 74% | 16 |
| 12 | CeeDee LambWRDAL | 30% | 84% | 17 |
| 13 |  DeAndre HopkinsWR TEN | 29% | 72% | 17 |
| 14 | Justin JeffersonWRMIN | 28% | 87% | 10 |
| 15 |  Cooper KuppWRLAR | 27% | 91% | 12 |
| 16 | Terry McLaurinWRWSH | 26% | 85% | 17 |
| 17 |  Ja'Marr ChaseWRCIN | 26% | 87% | 16 |
| 18 |  Jaylen WaddleWRMIA | 26% | 67% | 14 |
| 19 |  Brandon AiyukWRSF | 26% | 82% | 16 |
| 20 | Diontae JohnsonWRPIT | 26% | 71% | 13 |
| 21 | Adam ThielenWRCAR | 25% | 91% | 17 |
| 22 | Mike EvansWRTB | 25% | 79% | 17 |
| 23 | Zay FlowersWRBAL | 25% | 84% | 16 |
| 24 | Amari CooperWRCLE | 24% | 78% | 15 |
WR · target share
2023 full season, Weeks 1–18
- Target share
- 36%
- Snap share (on-field participation)
- 67%
- Games
- 16
- Target share
- 33%
- Snap share (on-field participation)
- 92%
- Games
- 17
- Target share
- 31%
- Snap share (on-field participation)
- 89%
- Games
- 17
- Target share
- 31%
- Snap share (on-field participation)
- 89%
- Games
- 13
- Target share
- 31%
- Snap share (on-field participation)
- 81%
- Games
- 17
- Target share
- 31%
- Snap share (on-field participation)
- 92%
- Games
- 17
- Target share
- 31%
- Snap share (on-field participation)
- 92%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 90%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 87%
- Games
- 17
- Target share
- 30%
- Snap share (on-field participation)
- 74%
- Games
- 16
- Target share
- 30%
- Snap share (on-field participation)
- 84%
- Games
- 17
- Target share
- 29%
- Snap share (on-field participation)
- 72%
- Games
- 17
- Target share
- 28%
- Snap share (on-field participation)
- 87%
- Games
- 10
- Target share
- 27%
- Snap share (on-field participation)
- 91%
- Games
- 12
- Target share
- 26%
- Snap share (on-field participation)
- 85%
- Games
- 17
- Target share
- 26%
- Snap share (on-field participation)
- 87%
- Games
- 16
- Target share
- 26%
- Snap share (on-field participation)
- 67%
- Games
- 14
- Target share
- 26%
- Snap share (on-field participation)
- 82%
- Games
- 16
- Target share
- 26%
- Snap share (on-field participation)
- 71%
- Games
- 13
- Target share
- 25%
- Snap share (on-field participation)
- 91%
- Games
- 17
- Target share
- 25%
- Snap share (on-field participation)
- 79%
- Games
- 17
- Target share
- 25%
- Snap share (on-field participation)
- 84%
- Games
- 16
- Target share
- 24%
- Snap share (on-field participation)
- 78%
- Games
- 15
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.