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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 12, 2023Point-in-time: aggregates Weeks 1–12 only. Uses no game after Week 12.
371 players · 5 metrics · click a column to sort
Stat leaders
371 players
Stat leaders
371 players
Josh JacobsRBOUTTeamLVGames12Opportunities272Snap share77%Target share14%Fantasy points (PPR)174Opportunity Score (proxy)0.68
TeamSFGames11Opportunities251Snap share82%Target share21%Fantasy points (PPR)273Opportunity Score (proxy)0.64
TeamJAXGames11Opportunities242Snap share76%Target share13%Fantasy points (PPR)192Opportunity Score (proxy)0.57
TeamDALGames11Opportunities206Snap share70%Target share13%Fantasy points (PPR)153Opportunity Score (proxy)0.50
TeamNYGGames9Opportunities205Snap share80%Target share18%Fantasy points (PPR)143Opportunity Score (proxy)0.52
TeamTENGames11Opportunities202Snap share56%Target share·Fantasy points (PPR)152Opportunity Score (proxy)0.54
TeamTBGames11Opportunities202Snap share79%Target share12%Fantasy points (PPR)163Opportunity Score (proxy)0.54
TeamCINGames11Opportunities201Snap share72%Target share10%Fantasy points (PPR)148Opportunity Score (proxy)0.59
TeamPHIGames11Opportunities200Snap share61%Target share12%Fantasy points (PPR)159Opportunity Score (proxy)0.46
TeamMINGames12Opportunities198Snap share64%Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.49
TeamNEGames11Opportunities197Snap share66%Target share15%Fantasy points (PPR)143Opportunity Score (proxy)0.53
TeamBUFGames12Opportunities192Snap share·Target share·Fantasy points (PPR)153Opportunity Score (proxy)0.45
Isiah PachecoRBIRTeamKCGames11Opportunities192Snap share58%Target share·Fantasy points (PPR)153Opportunity Score (proxy)0.49
TeamATLGames11Opportunities190Snap share66%Target share16%Fantasy points (PPR)158Opportunity Score (proxy)0.42
TeamWSHGames12Opportunities189Snap share·Target share·Fantasy points (PPR)171Opportunity Score (proxy)0.54
TeamCLEGames11Opportunities186Snap share·Target share11%Fantasy points (PPR)136Opportunity Score (proxy)0.42
Alvin KamaraRBOUTTeamNOGames8Opportunities180Snap share67%Target share24%Fantasy points (PPR)159Opportunity Score (proxy)0.47
TeamMIAGames11Opportunities178Snap share60%Target share·Fantasy points (PPR)202Opportunity Score (proxy)0.45
TeamDENGames10Opportunities174Snap share·Target share13%Fantasy points (PPR)·Opportunity Score (proxy)0.47
TeamNYJGames11Opportunities173Snap share55%Target share14%Fantasy points (PPR)151Opportunity Score (proxy)·
TeamSEAGames10Opportunities172Snap share55%Target share·Fantasy points (PPR)138Opportunity Score (proxy)0.46
Najee HarrisRBOUTTeamPITGames11Opportunities170Snap share·Target share·Fantasy points (PPR)·Opportunity Score (proxy)0.45
TeamINDGames10Opportunities164Snap share55%Target share·Fantasy points (PPR)137Opportunity Score (proxy)·
TeamDETGames9Opportunities161Snap share57%Target share17%Fantasy points (PPR)155Opportunity Score (proxy)0.49
TeamLACGames11Opportunities131Snap share88%Target share32%Fantasy points (PPR)255Opportunity Score (proxy)0.72
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 12, 2023
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Josh DownsWR IND | +2.90 | 68%from 38% | 3 wk25 snaps |
| 2 |  Deebo Samuel Sr.WR SF | +2.57 | 76%from 72% | 3 wk45 snaps |
| 3 |  Greg DortchWR ARI | +2.07 | 76%from 49% | 4 wk31 snaps |
| 4 |  Curtis SamuelWR WSH | +1.56 | 55%from 41% | 3 wk29 snaps |
| 5 |  Jayden ReedWR GB | +1.33 | 73%from 58% | 4 wk39 snaps |
| 6 |  Elijah MooreWR CLE | +1.29 | 86%from 76% | 4 wk57 snaps |
| 7 |  Zay FlowersWR BAL | +1.22 | 94%from 87% | 4 wk58 snaps |
| 8 |  DeVonta SmithWR PHI | +1.21 | 98%from 96% | 3 wk59 snaps |
| 9 |  Keenan AllenWR LAC | +1.17 | 98%from 88% | 4 wk58 snaps |
| 10 |  Mike EvansWR TB | +1.01 | 92%from 82% | 4 wk53 snaps |
| 11 |  Rashee RiceWR KC | +0.99 | 67%from 64% | 3 wk42 snaps |
| 12 |  Gabe DavisWR BUF | +0.98 | 96%from 94% | 4 wk66 snaps |
| 13 |  A.T. PerryWR NO | +0.86 | 74%from 61% | 3 wk42 snaps |
| 14 |  DJ MooreWR CHI | +0.83 | 93%from 95% | 4 wk68 snaps |
| 15 |  Trenton IrwinWR CIN | +0.83 | 72%from 67% | 4 wk39 snaps |
| 16 |  K.J. OsbornWR MIN | +0.74 | 85%from 69% | 3 wk46 snaps |
| 17 |  Christian WatsonWRGB | +0.74 | 88%from 80% | 4 wk53 snaps |
| 18 |  Alec PierceWRIND | +0.73 | 95%from 97% | 3 wk62 snaps |
| 19 |  Scotty MillerWR ATL | +0.72 | 39%from 30% | 3 wk20 snaps |
| 20 |  Nick Westbrook-IkhineWR TEN | +0.66 | 75%from 63% | 4 wk36 snaps |
| 21 |  Marvin Mims Jr.WR DEN | +0.66 | 48%from 58% | 3 wk38 snaps |
| 22 |  Wan'Dale RobinsonWR NYG | +0.63 | 77%from 61% | 4 wk35 snaps |
| 23 | JGJalen GuytonWRLAC | +0.62 | 80%from 72% | 3 wk48 snaps |
| 24 |  Calvin RidleyWR JAX | +0.61 | 94%from 88% | 3 wk60 snaps |
WR · Risers
As of Week 12, 2023
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +2.90
- Now
- 68%from 38%
- Window
- 3 wk25 snaps
- Momentum (z/wk)
- +2.57
- Now
- 76%from 72%
- Window
- 3 wk45 snaps
- Momentum (z/wk)
- +2.07
- Now
- 76%from 49%
- Window
- 4 wk31 snaps
- Momentum (z/wk)
- +1.56
- Now
- 55%from 41%
- Window
- 3 wk29 snaps
- Momentum (z/wk)
- +1.33
- Now
- 73%from 58%
- Window
- 4 wk39 snaps
- Momentum (z/wk)
- +1.29
- Now
- 86%from 76%
- Window
- 4 wk57 snaps
- Momentum (z/wk)
- +1.22
- Now
- 94%from 87%
- Window
- 4 wk58 snaps
- Momentum (z/wk)
- +1.21
- Now
- 98%from 96%
- Window
- 3 wk59 snaps
- Momentum (z/wk)
- +1.17
- Now
- 98%from 88%
- Window
- 4 wk58 snaps
- Momentum (z/wk)
- +1.01
- Now
- 92%from 82%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +0.99
- Now
- 67%from 64%
- Window
- 3 wk42 snaps
- Momentum (z/wk)
- +0.98
- Now
- 96%from 94%
- Window
- 4 wk66 snaps
- Momentum (z/wk)
- +0.86
- Now
- 74%from 61%
- Window
- 3 wk42 snaps
- Momentum (z/wk)
- +0.83
- Now
- 72%from 67%
- Window
- 4 wk39 snaps
- Momentum (z/wk)
- +0.74
- Now
- 85%from 69%
- Window
- 3 wk46 snaps
- Momentum (z/wk)
- +0.74
- Now
- 88%from 80%
- Window
- 4 wk53 snaps
- Momentum (z/wk)
- +0.73
- Now
- 95%from 97%
- Window
- 3 wk62 snaps
- Momentum (z/wk)
- +0.72
- Now
- 39%from 30%
- Window
- 3 wk20 snaps
- Momentum (z/wk)
- +0.66
- Now
- 75%from 63%
- Window
- 4 wk36 snaps
- Momentum (z/wk)
- +0.66
- Now
- 48%from 58%
- Window
- 3 wk38 snaps
- Momentum (z/wk)
- +0.63
- Now
- 77%from 61%
- Window
- 4 wk35 snaps
JGJalen GuytonWRLAC
LAC- Momentum (z/wk)
- +0.62
- Now
- 80%from 72%
- Window
- 3 wk48 snaps
- Momentum (z/wk)
- +0.61
- Now
- 94%from 88%
- Window
- 3 wk60 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 JohnsonWRDEN | 1%17% | +16 | 3 |
| 5 |  Brian Robinson Jr.RBWSH | 0%15% | +15 | 2 |
| 6 |  Andrei IosivasWRCIN | 2%15% | +13 | 3 |
| 7 |  Mike GesickiTE NE | 3%16% | +13 | 3 |
| 8 |  Joshua PalmerWRLAC | 13%25% | +12 | 2 |
| 9 |  Johnny MundtTEMIN | 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.WR CAR | 12%22% | +10 | 3 |
| 15 |  Khalil ShakirWRBUF | 5%15% | +10 | 3 |
| 16 |  Van JeffersonWRATL | 2%11% | +10 | 3 |
| 17 |  Juwan JohnsonTENO | 13%23% | +9 | 3 |
| 18 |  Michael WilsonWRARI | 8%17% | +9 | 3 |
| 19 |  Khalil HerbertRBCHI | 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)
As of Week 12, 2023
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Keenan AllenWRLAC | 373.4/gm | 33% | 9.3 |
| 2 |  Chris OlaveWRNO | 373.4/gm | 30% | 7.0 |
| 3 |  Adam ThielenWRCAR | 363.3/gm | 33% | 7.9 |
| 4 |  Puka NacuaWR LAR | 353.5/gm | 34% | 9.0 |
| 5 | DJ MooreWRCHI | 333.0/gm | 30% | 9.8 |
| 6 | Tyreek HillWRMIA | 313.1/gm | 30% | 11.5 |
| 7 |  Davante AdamsWRLV | 302.5/gm | 28% | 8.4 |
| 8 |  Stefon DiggsWRBUF | 292.6/gm | 30% | 6.4 |
| 9 | Mike EvansWRTB | 292.9/gm | 26% | 8.7 |
| 10 |  Chris GodwinWRTB | 292.9/gm | 26% | 10.1 |
| 11 | Josh DownsWRIND | 282.5/gm | 26% | 10.6 |
| 12 |  Jordan AddisonWRMIN | 282.5/gm | 21% | 10.0 |
| 13 |  Michael Pittman Jr.WRIND | 272.5/gm | 25% | 6.9 |
| 14 |  Terry McLaurinWRWSH | 272.7/gm | 24% | 7.0 |
| 15 |  CeeDee LambWR DAL | 272.7/gm | 25% | 13.7 |
| 16 |  Christian KirkWRJAX | 262.4/gm | 26% | 10.3 |
| 17 |  Amari CooperWRCLE | 262.6/gm | 23% | 8.3 |
| 18 |  Nico CollinsWR HOU | 262.6/gm | 26% | 14.2 |
| 19 |  Jakobi MeyersWRLV | 262.9/gm | 24% | 7.5 |
| 20 |  Drake LondonWRATL | 262.9/gm | 26% | 7.2 |
| 21 |  Romeo DoubsWRGB | 252.3/gm | 22% | 5.8 |
| 22 |  Jaxon Smith-NjigbaWR SEA | 252.3/gm | 25% | 6.9 |
| 23 |  Garrett WilsonWR NYJ | 252.3/gm | 32% | 4.6 |
| 24 |  Tyler BoydWRCIN | 252.5/gm | 24% | 5.2 |
WR · Money downs (3rd+4th)
As of Week 12, 2023
- Money-down targets
- 373.4/gm
- Money-down target share
- 33%
- Money-down yards / target
- 9.3
- Money-down targets
- 373.4/gm
- Money-down target share
- 30%
- Money-down yards / target
- 7.0
- Money-down targets
- 363.3/gm
- Money-down target share
- 33%
- Money-down yards / target
- 7.9
- Money-down targets
- 353.5/gm
- Money-down target share
- 34%
- Money-down yards / target
- 9.0
- Money-down targets
- 313.1/gm
- Money-down target share
- 30%
- Money-down yards / target
- 11.5
- Money-down targets
- 302.5/gm
- Money-down target share
- 28%
- Money-down yards / target
- 8.4
- Money-down targets
- 292.6/gm
- Money-down target share
- 30%
- Money-down yards / target
- 6.4
- Money-down targets
- 292.9/gm
- Money-down target share
- 26%
- Money-down yards / target
- 8.7
- Money-down targets
- 292.9/gm
- Money-down target share
- 26%
- Money-down yards / target
- 10.1
- Money-down targets
- 282.5/gm
- Money-down target share
- 26%
- Money-down yards / target
- 10.6
- Money-down targets
- 282.5/gm
- Money-down target share
- 21%
- Money-down yards / target
- 10.0
- Money-down targets
- 272.5/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.9
- Money-down targets
- 272.7/gm
- Money-down target share
- 24%
- Money-down yards / target
- 7.0
- Money-down targets
- 272.7/gm
- Money-down target share
- 25%
- Money-down yards / target
- 13.7
- Money-down targets
- 262.4/gm
- Money-down target share
- 26%
- Money-down yards / target
- 10.3
- Money-down targets
- 262.6/gm
- Money-down target share
- 23%
- Money-down yards / target
- 8.3
- Money-down targets
- 262.6/gm
- Money-down target share
- 26%
- Money-down yards / target
- 14.2
- Money-down targets
- 262.9/gm
- Money-down target share
- 24%
- Money-down yards / target
- 7.5
- Money-down targets
- 262.9/gm
- Money-down target share
- 26%
- Money-down yards / target
- 7.2
- Money-down targets
- 252.3/gm
- Money-down target share
- 22%
- Money-down yards / target
- 5.8
- Money-down targets
- 252.3/gm
- Money-down target share
- 25%
- Money-down yards / target
- 6.9
- Money-down targets
- 252.3/gm
- Money-down target share
- 32%
- Money-down yards / target
- 4.6
- Money-down targets
- 252.5/gm
- Money-down target share
- 24%
- Money-down yards / target
- 5.2
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 12, 2023
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Tyreek HillWRMIA | 37% | 68% | 11 |
| 2 | Garrett WilsonWRNYJ | 33% | 92% | 11 |
| 3 |  A.J. BrownWRPHI | 33% | 93% | 11 |
| 4 | Chris OlaveWRNO | 32% | 76% | 11 |
| 5 | Puka NacuaWRLAR | 32% | 90% | 11 |
| 6 | Keenan AllenWRLAC | 32% | 88% | 11 |
| 7 | Davante AdamsWRLV | 32% | 92% | 12 |
| 8 |  Amon-Ra St. BrownWR DET | 31% | 91% | 10 |
| 9 | Stefon DiggsWRBUF | 31% | 87% | 12 |
| 10 | Michael Pittman Jr.WRIND | 31% | 97% | 11 |
| 11 | Justin JeffersonWRMIN | 30% | 92% | 5 |
| 12 | DJ MooreWRCHI | 30% | 93% | 12 |
| 13 |  Diontae JohnsonWR PIT | 29% | 76% | 7 |
| 14 |  Ja'Marr ChaseWRCIN | 29% | 93% | 11 |
| 15 |  Cooper KuppWRLAR | 27% | 85% | 7 |
| 16 |  DeAndre HopkinsWRTEN | 27% | 70% | 11 |
| 17 | Adam ThielenWRCAR | 27% | 92% | 11 |
| 18 | CeeDee LambWRDAL | 27% | 80% | 11 |
| 19 |  Hollywood BrownWRARI | 26% | 92% | 12 |
| 20 |  Brandon AiyukWRSF | 26% | 83% | 10 |
| 21 | Zay FlowersWRBAL | 26% | 86% | 12 |
| 22 | Terry McLaurinWRWSH | 25% | 84% | 12 |
| 23 |  Jaylen WaddleWRMIA | 25% | 69% | 10 |
| 24 | Mike EvansWRTB | 25% | 76% | 11 |
WR · target share
As of Week 12, 2023
- Target share
- 37%
- Snap share (on-field participation)
- 68%
- Games
- 11
- Target share
- 33%
- Snap share (on-field participation)
- 92%
- Games
- 11
- Target share
- 33%
- Snap share (on-field participation)
- 93%
- Games
- 11
- Target share
- 32%
- Snap share (on-field participation)
- 76%
- Games
- 11
- Target share
- 32%
- Snap share (on-field participation)
- 90%
- Games
- 11
- Target share
- 32%
- Snap share (on-field participation)
- 88%
- Games
- 11
- Target share
- 32%
- Snap share (on-field participation)
- 92%
- Games
- 12
- Target share
- 31%
- Snap share (on-field participation)
- 91%
- Games
- 10
- Target share
- 31%
- Snap share (on-field participation)
- 87%
- Games
- 12
- Target share
- 31%
- Snap share (on-field participation)
- 97%
- Games
- 11
- Target share
- 30%
- Snap share (on-field participation)
- 92%
- Games
- 5
- Target share
- 29%
- Snap share (on-field participation)
- 76%
- Games
- 7
- Target share
- 29%
- Snap share (on-field participation)
- 93%
- Games
- 11
- Target share
- 27%
- Snap share (on-field participation)
- 85%
- Games
- 7
- Target share
- 27%
- Snap share (on-field participation)
- 70%
- Games
- 11
- Target share
- 27%
- Snap share (on-field participation)
- 92%
- Games
- 11
- Target share
- 27%
- Snap share (on-field participation)
- 80%
- Games
- 11
- Target share
- 26%
- Snap share (on-field participation)
- 92%
- Games
- 12
- Target share
- 26%
- Snap share (on-field participation)
- 83%
- Games
- 10
- Target share
- 26%
- Snap share (on-field participation)
- 86%
- Games
- 12
- Target share
- 25%
- Snap share (on-field participation)
- 84%
- Games
- 12
- Target share
- 25%
- Snap share (on-field participation)
- 69%
- Games
- 10
- Target share
- 25%
- Snap share (on-field participation)
- 76%
- Games
- 11
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.