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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 15, 2023Point-in-time: aggregates Weeks 1–15 only. Uses no game after Week 15.
397 players · 5 metrics · click a column to sort
Stat leaders
397 players
Stat leaders
397 players
TeamSFGames14Opportunities312Snap share82%Target share19%Fantasy points (PPR)353Opportunity Score (proxy)0.64
TeamJAXGames14Opportunities291Snap share75%Target share13%Fantasy points (PPR)237Opportunity Score (proxy)0.55
Josh JacobsRBOUTTeamLVGames13Opportunities287Snap share76%Target share14%Fantasy points (PPR)181Opportunity Score (proxy)0.62
TeamTBGames14Opportunities277Snap share80%Target share12%Fantasy points (PPR)226Opportunity Score (proxy)0.56
TeamDALGames14Opportunities268Snap share71%Target share13%Fantasy points (PPR)195Opportunity Score (proxy)0.51
TeamCINGames14Opportunities265Snap share71%Target share11%Fantasy points (PPR)215Opportunity Score (proxy)0.58
TeamTENGames14Opportunities264Snap share·Target share·Fantasy points (PPR)200Opportunity Score (proxy)0.52
TeamPHIGames14Opportunities244Snap share59%Target share·Fantasy points (PPR)177Opportunity Score (proxy)0.46
TeamATLGames14Opportunities240Snap share67%Target share16%Fantasy points (PPR)189Opportunity Score (proxy)0.44
TeamNYGGames11Opportunities240Snap share78%Target share17%Fantasy points (PPR)171Opportunity Score (proxy)0.51
Alvin KamaraRBOUTTeamNOGames11Opportunities239Snap share64%Target share24%Fantasy points (PPR)218Opportunity Score (proxy)0.50
TeamBUFGames14Opportunities235Snap share·Target share·Fantasy points (PPR)214Opportunity Score (proxy)0.46
TeamLARGames10Opportunities232Snap share82%Target share13%Fantasy points (PPR)209Opportunity Score (proxy)0.45
TeamMIAGames14Opportunities229Snap share59%Target share·Fantasy points (PPR)256Opportunity Score (proxy)0.44
TeamCLEGames14Opportunities229Snap share·Target share11%Fantasy points (PPR)171Opportunity Score (proxy)·
TeamDENGames13Opportunities225Snap share·Target share13%Fantasy points (PPR)·Opportunity Score (proxy)0.52
TeamCARGames14Opportunities224Snap share57%Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamNYJGames14Opportunities221Snap share55%Target share15%Fantasy points (PPR)191Opportunity Score (proxy)·
Najee HarrisRBOUTTeamPITGames14Opportunities216Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.44
TeamINDGames13Opportunities214Snap share59%Target share·Fantasy points (PPR)167Opportunity Score (proxy)·
Isiah PachecoRBIRTeamKCGames12Opportunities214Snap share59%Target share·Fantasy points (PPR)174Opportunity Score (proxy)0.44
TeamMINGames13Opportunities209Snap share61%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.43
TeamSEAGames12Opportunities207Snap share55%Target share·Fantasy points (PPR)167Opportunity Score (proxy)0.44
TeamNEGames12Opportunities207Snap share62%Target share14%Fantasy points (PPR)·Opportunity Score (proxy)0.45
TeamLACGames13Opportunities152Snap share89%Target share31%Fantasy points (PPR)279Opportunity Score (proxy)0.68
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 15, 2023
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Noah BrownWR HOU | +2.75 | 86%from 78% | 3 wk53 snaps |
| 2 |  Treylon BurksWR TEN | +1.59 | 76%from 51% | 3 wk35 snaps |
| 3 |  Allen LazardWR NYJ | +1.58 | 90%from 70% | 3 wk44 snaps |
| 4 |  D.J. MontgomeryWR IND | +1.41 | 63%from 20% | 4 wk13 snaps |
| 5 |  Kadarius ToneyWR KC | +1.35 | 40%from 34% | 3 wk22 snaps |
| 6 |  Xavier HutchinsonWRHOU | +1.21 | 84%from 56% | 3 wk38 snaps |
| 7 |  Demarcus RobinsonWR LAR | +1.03 | 95%from 75% | 4 wk54 snaps |
| 8 |  Lil'Jordan HumphreyWR DEN | +1.00 | 58%from 47% | 4 wk30 snaps |
| 9 |  Parker WashingtonWR JAX | +0.99 | 45%from 42% | 4 wk29 snaps |
| 10 |  Amari CooperWR CLE | +0.98 | 94%from 71% | 4 wk52 snaps |
| 11 |  Tee HigginsWR CIN | +0.96 | 87%from 80% | 3 wk54 snaps |
| 12 |  Adam ThielenWR CAR | +0.95 | 95%from 89% | 4 wk65 snaps |
| 13 |  Cedrick Wilson Jr.WR MIA | +0.94 | 77%from 56% | 4 wk37 snaps |
| 14 |  Darnell MooneyWR CHI | +0.93 | 86%from 86% | 3 wk61 snaps |
| 15 |  Cooper KuppWRLAR | +0.90 | 100%from 96% | 4 wk68 snaps |
| 16 |  Curtis SamuelWR WSH | +0.89 | 72%from 62% | 3 wk39 snaps |
| 17 |  Calvin RidleyWRJAX | +0.86 | 92%from 92% | 4 wk65 snaps |
| 18 |  Puka NacuaWRLAR | +0.86 | 100%from 85% | 4 wk60 snaps |
| 19 |  Tyler ScottWRCHI | +0.85 | 51%from 35% | 3 wk25 snaps |
| 20 |  Darius SlaytonWR NYG | +0.83 | 95%from 81% | 3 wk46 snaps |
| 21 |  Ihmir Smith-MarsetteWRCAR | +0.82 | 27%from 22% | 4 wk16 snaps |
| 22 |  Jalen ReagorWR NE | +0.74 | 55%from 33% | 3 wk18 snaps |
| 23 |  Tre TuckerWR LV | +0.71 | 45%from 24% | 3 wk15 snaps |
| 24 |  Dontayvion WicksWR GB | +0.70 | 78%from 60% | 3 wk38 snaps |
WR · Risers
As of Week 15, 2023
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.75
- Now
- 86%from 78%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +1.59
- Now
- 76%from 51%
- Window
- 3 wk35 snaps
- Momentum (z/wk)
- +1.58
- Now
- 90%from 70%
- Window
- 3 wk44 snaps
- Momentum (z/wk)
- +1.41
- Now
- 63%from 20%
- Window
- 4 wk13 snaps
- Momentum (z/wk)
- +1.35
- Now
- 40%from 34%
- Window
- 3 wk22 snaps
- Momentum (z/wk)
- +1.21
- Now
- 84%from 56%
- Window
- 3 wk38 snaps
- Momentum (z/wk)
- +1.03
- Now
- 95%from 75%
- Window
- 4 wk54 snaps
- Momentum (z/wk)
- +1.00
- Now
- 58%from 47%
- Window
- 4 wk30 snaps
- Momentum (z/wk)
- +0.99
- Now
- 45%from 42%
- Window
- 4 wk29 snaps
- Momentum (z/wk)
- +0.98
- Now
- 94%from 71%
- Window
- 4 wk52 snaps
- Momentum (z/wk)
- +0.96
- Now
- 87%from 80%
- Window
- 3 wk54 snaps
- Momentum (z/wk)
- +0.95
- Now
- 95%from 89%
- Window
- 4 wk65 snaps
- Momentum (z/wk)
- +0.94
- Now
- 77%from 56%
- Window
- 4 wk37 snaps
- Momentum (z/wk)
- +0.93
- Now
- 86%from 86%
- Window
- 3 wk61 snaps
- Momentum (z/wk)
- +0.90
- Now
- 100%from 96%
- Window
- 4 wk68 snaps
- Momentum (z/wk)
- +0.89
- Now
- 72%from 62%
- Window
- 3 wk39 snaps
- Momentum (z/wk)
- +0.86
- Now
- 92%from 92%
- Window
- 4 wk65 snaps
- Momentum (z/wk)
- +0.86
- Now
- 100%from 85%
- Window
- 4 wk60 snaps
- Momentum (z/wk)
- +0.85
- Now
- 51%from 35%
- Window
- 3 wk25 snaps
- Momentum (z/wk)
- +0.83
- Now
- 95%from 81%
- Window
- 3 wk46 snaps
- Momentum (z/wk)
- +0.82
- Now
- 27%from 22%
- Window
- 4 wk16 snaps
- Momentum (z/wk)
- +0.74
- Now
- 55%from 33%
- Window
- 3 wk18 snaps
- Momentum (z/wk)
- +0.71
- Now
- 45%from 24%
- Window
- 3 wk15 snaps
- Momentum (z/wk)
- +0.70
- Now
- 78%from 60%
- Window
- 3 wk38 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 HillRB BAL | 5%24% | +19 | 3 |
| 3 |  Bo MeltonWRGB | 6%24% | +18 | 3 |
| 4 |  Brandon JohnsonWRDEN | 1%17% | +16 | 3 |
| 5 |  Brian Robinson Jr.RBWSH | 0%15% | +15 | 2 |
| 6 |  Andrei IosivasWRCIN | 2%15% | +13 | 3 |
| 7 |  Mike GesickiTENE | 3%16% | +13 | 3 |
| 8 |  Joshua PalmerWR LAC | 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 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 JohnsonTE NO | 13%23% | +9 | 3 |
| 18 |  Michael WilsonWR ARI | 8%17% | +9 | 3 |
| 19 |  Khalil HerbertRBCHI | 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 15, 2023
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Adam ThielenWRCAR | 453.2/gm | 31% | 7.3 |
| 2 |  Keenan AllenWRLAC | 443.4/gm | 31% | 8.3 |
| 3 |  Chris OlaveWRNO | 433.3/gm | 30% | 8.2 |
| 4 | Puka NacuaWRLAR | 413.1/gm | 30% | 8.6 |
| 5 |  DJ MooreWRCHI | 403.1/gm | 31% | 10.1 |
| 6 |  Mike EvansWR TB | 393.0/gm | 28% | 9.0 |
| 7 |  Chris GodwinWRTB | 393.0/gm | 28% | 9.5 |
| 8 |  A.J. BrownWR PHI | 382.9/gm | 36% | 10.7 |
| 9 | Tyreek HillWRMIA | 373.1/gm | 28% | 12.3 |
| 10 |  Jaxon Smith-NjigbaWR SEA | 362.6/gm | 28% | 6.2 |
| 11 |  CeeDee LambWR DAL | 362.8/gm | 27% | 12.5 |
| 12 |  Garrett WilsonWRNYJ | 352.5/gm | 32% | 5.3 |
| 13 | Amari CooperWRCLE | 352.7/gm | 24% | 8.3 |
| 14 |  Michael Pittman Jr.WRIND | 342.4/gm | 26% | 7.7 |
| 15 |  Davante AdamsWRLV | 342.4/gm | 27% | 8.5 |
| 16 |  Terry McLaurinWRWSH | 332.8/gm | 25% | 7.0 |
| 17 |  Stefon DiggsWRBUF | 322.5/gm | 30% | 6.3 |
| 18 |  Josh DownsWRIND | 312.4/gm | 24% | 9.8 |
| 19 |  Tyler LockettWRSEA | 312.4/gm | 24% | 6.0 |
| 20 |  Ja'Marr ChaseWRCIN | 312.6/gm | 24% | 8.7 |
| 21 |  DeAndre HopkinsWRTEN | 312.6/gm | 25% | 5.1 |
| 22 |  Drake LondonWRATL | 312.6/gm | 25% | 7.4 |
| 23 |  Nico CollinsWRHOU | 312.8/gm | 24% | 15.2 |
| 24 |  Diontae JohnsonWR PIT | 313.1/gm | 24% | 8.2 |
WR · Money downs (3rd+4th)
As of Week 15, 2023
- Money-down targets
- 453.2/gm
- Money-down target share
- 31%
- Money-down yards / target
- 7.3
- Money-down targets
- 443.4/gm
- Money-down target share
- 31%
- Money-down yards / target
- 8.3
- Money-down targets
- 433.3/gm
- Money-down target share
- 30%
- Money-down yards / target
- 8.2
- Money-down targets
- 413.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 8.6
- Money-down targets
- 393.0/gm
- Money-down target share
- 28%
- Money-down yards / target
- 9.0
- Money-down targets
- 393.0/gm
- Money-down target share
- 28%
- Money-down yards / target
- 9.5
- Money-down targets
- 382.9/gm
- Money-down target share
- 36%
- Money-down yards / target
- 10.7
- Money-down targets
- 373.1/gm
- Money-down target share
- 28%
- Money-down yards / target
- 12.3
- Money-down targets
- 362.6/gm
- Money-down target share
- 28%
- Money-down yards / target
- 6.2
- Money-down targets
- 362.8/gm
- Money-down target share
- 27%
- Money-down yards / target
- 12.5
- Money-down targets
- 352.5/gm
- Money-down target share
- 32%
- Money-down yards / target
- 5.3
- Money-down targets
- 352.7/gm
- Money-down target share
- 24%
- Money-down yards / target
- 8.3
- Money-down targets
- 342.4/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.7
- Money-down targets
- 342.4/gm
- Money-down target share
- 27%
- Money-down yards / target
- 8.5
- Money-down targets
- 332.8/gm
- Money-down target share
- 25%
- Money-down yards / target
- 7.0
- Money-down targets
- 322.5/gm
- Money-down target share
- 30%
- Money-down yards / target
- 6.3
- Money-down targets
- 312.4/gm
- Money-down target share
- 24%
- Money-down yards / target
- 9.8
- Money-down targets
- 312.4/gm
- Money-down target share
- 24%
- Money-down yards / target
- 6.0
- Money-down targets
- 312.6/gm
- Money-down target share
- 24%
- Money-down yards / target
- 8.7
- Money-down targets
- 312.6/gm
- Money-down target share
- 25%
- Money-down yards / target
- 5.1
- Money-down targets
- 312.6/gm
- Money-down target share
- 25%
- Money-down yards / target
- 7.4
- Money-down targets
- 312.8/gm
- Money-down target share
- 24%
- Money-down yards / target
- 15.2
- Money-down targets
- 313.1/gm
- Money-down target share
- 24%
- Money-down yards / target
- 8.2
Descriptive leaderboard, not a prediction. Money-down = 3rd & 4th down targets from official play-by-play. Yards / target applies a min-target floor (below it: “—”). Target share, not routes: we have no routes-run denominator, so this is not YPRR/TPRR.
WR target share
Who commands the offense’s looks. Flip on full-route participantsto keep only WRs on the field for most of the offense’s snaps — a target share earned on a partial route tree reads differently from a true every-down role.
WR · target share
As of Week 15, 2023
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Tyreek HillWRMIA | 34% | 65% | 13 |
| 2 | A.J. BrownWRPHI | 34% | 93% | 14 |
| 3 | Davante AdamsWRLV | 32% | 92% | 14 |
| 4 | Chris OlaveWRNO | 32% | 74% | 13 |
| 5 | Stefon DiggsWRBUF | 32% | 84% | 14 |
| 6 | Garrett WilsonWRNYJ | 31% | 93% | 14 |
| 7 | Keenan AllenWRLAC | 31% | 89% | 13 |
| 8 | Michael Pittman Jr.WRIND | 31% | 91% | 14 |
| 9 | Puka NacuaWRLAR | 30% | 89% | 14 |
| 10 |  Amon-Ra St. BrownWR DET | 30% | 90% | 13 |
| 11 | DJ MooreWRCHI | 30% | 93% | 14 |
| 12 | DeAndre HopkinsWRTEN | 29% | 70% | 14 |
| 13 | CeeDee LambWRDAL | 28% | 83% | 14 |
| 14 | Justin JeffersonWRMIN | 27% | 82% | 7 |
| 15 |  Jaylen WaddleWRMIA | 27% | 69% | 13 |
| 16 | Ja'Marr ChaseWRCIN | 27% | 91% | 14 |
| 17 | Diontae JohnsonWRPIT | 27% | 76% | 10 |
| 18 | Adam ThielenWRCAR | 27% | 91% | 14 |
| 19 | Cooper KuppWRLAR | 27% | 89% | 10 |
| 20 |  Brandon AiyukWRSF | 26% | 84% | 13 |
| 21 | Mike EvansWRTB | 26% | 78% | 14 |
| 22 | Terry McLaurinWRWSH | 26% | 84% | 14 |
| 23 |  DeVonta SmithWRPHI | 25% | 97% | 14 |
| 24 | Zay FlowersWRBAL | 25% | 87% | 14 |
WR · target share
As of Week 15, 2023
- Target share
- 34%
- Snap share (on-field participation)
- 65%
- Games
- 13
- Target share
- 34%
- Snap share (on-field participation)
- 93%
- Games
- 14
- Target share
- 32%
- Snap share (on-field participation)
- 92%
- Games
- 14
- Target share
- 32%
- Snap share (on-field participation)
- 74%
- Games
- 13
- Target share
- 32%
- Snap share (on-field participation)
- 84%
- Games
- 14
- Target share
- 31%
- Snap share (on-field participation)
- 93%
- Games
- 14
- Target share
- 31%
- Snap share (on-field participation)
- 89%
- Games
- 13
- Target share
- 31%
- Snap share (on-field participation)
- 91%
- Games
- 14
- Target share
- 30%
- Snap share (on-field participation)
- 89%
- Games
- 14
- Target share
- 30%
- Snap share (on-field participation)
- 90%
- Games
- 13
- Target share
- 29%
- Snap share (on-field participation)
- 70%
- Games
- 14
- Target share
- 28%
- Snap share (on-field participation)
- 83%
- Games
- 14
- Target share
- 27%
- Snap share (on-field participation)
- 82%
- Games
- 7
- Target share
- 27%
- Snap share (on-field participation)
- 69%
- Games
- 13
- Target share
- 27%
- Snap share (on-field participation)
- 91%
- Games
- 14
- Target share
- 27%
- Snap share (on-field participation)
- 76%
- Games
- 10
- Target share
- 27%
- Snap share (on-field participation)
- 91%
- Games
- 14
- Target share
- 27%
- Snap share (on-field participation)
- 89%
- Games
- 10
- Target share
- 26%
- Snap share (on-field participation)
- 84%
- Games
- 13
- Target share
- 26%
- Snap share (on-field participation)
- 78%
- Games
- 14
- Target share
- 26%
- Snap share (on-field participation)
- 84%
- Games
- 14
- Target share
- 25%
- Snap share (on-field participation)
- 97%
- Games
- 14
- Target share
- 25%
- Snap share (on-field participation)
- 87%
- 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.