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Sortable, filterable leaderboards across every tracked metric.
De'Von AchaneRBIR
Cam SkatteboRBQUESTIONABLE
Jahmyr GibbsRBQUESTIONABLE
Christian McCaffreyRBQUESTIONABLE
Aaron Jones Sr.RBQUESTIONABLE
Tyjae SpearsRBQUESTIONABLE
Kenny GainwellRBQUESTIONABLE
Jeremiyah LoveRBQUESTIONABLEShowing 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).
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.
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Malik NabersWR NYG | +1.92 | 90%from 80% | 4 wk56 snaps |
| 2 |  Tyquan ThorntonWR KC | +1.75 | 63%from 56% | 3 wk36 snaps |
| 3 |  Mike EvansWR SF | +1.54 | 63%from 52% | 4 wk31 snaps |
| 4 |  Brycen TremayneWR CAR | +1.48 | 92%from 63% | 3 wk47 snaps |
| 5 |  Marquez Valdes-ScantlingWR LAC | +1.43 | 75%from 39% | 3 wk26 snaps |
| 6 |  Jalen BrooksWR ARI | +1.42 | 53%from 17% | 4 wk12 snaps |
| 7 |  Isaiah BondWR CLE | +1.27 | 72%from 24% | 4 wk16 snaps |
| 8 |  John Metchie IIIWRCAR | +1.26 | 37%from 35% | 3 wk26 snaps |
| 9 |  Kevin Coleman Jr.WR MIA | +1.22 | 64%from 56% | 4 wk34 snaps |
| 10 |  Efton Chism IIIWR NE | +1.13 | 76%from 41% | 4 wk29 snaps |
| 11 |  Josh CameronWR JAX | +1.10 | 31%from 30% | 4 wk19 snaps |
| 12 |  Laquon TreadwellWR IND | +1.06 | 80%from 80% | 4 wk54 snaps |
| 13 |  Marvin Harrison Jr.WRARI | +1.06 | 65%from 72% | 3 wk49 snaps |
| 14 |  Tai FeltonWR MIN | +1.01 | 66%from 45% | 4 wk31 snaps |
| 15 |  Jerry JeudyWRCLE | +0.99 | 81%from 57% | 4 wk37 snaps |
| 16 |  Treylon BurksWR WSH | +0.97 | 73%from 50% | 4 wk32 snaps |
| 17 |  Rome OdunzeWR CHI | +0.91 | 99%from 89% | 4 wk69 snaps |
| 18 |  Makai LemonWR PHI | +0.86 | 81%from 72% | 4 wk45 snaps |
| 19 |  Darius CooperWRPHI | +0.84 | 85%from 56% | 4 wk36 snaps |
| 20 |  DJ MooreWR BUF | +0.83 | 39%from 45% | 3 wk29 snaps |
| 21 |  Emeka EgbukaWR TB | +0.81 | 89%from 86% | 4 wk58 snaps |
| 22 |  Drake LondonWR ATL | +0.73 | 98%from 86% | 4 wk56 snaps |
| 23 |  Jonathan MingoWR DAL | +0.69 | 20%from 19% | 4 wk13 snaps |
| 24 |  Myles PriceWRMIN | +0.62 | 20%from 23% | 4 wk14 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.
Easiest → hardest remaining schedule per team. Projected on 2025 defense. low-confidence early-season estimate.
| # ▲ | Team | Schedule | SOS index | Avg opp DvP | Games |
|---|---|---|---|---|---|
| 1 | JAX | Easy | 112 | 6.70 | 11 |
| 2 | PHI | Easy | 107 | 6.35 | 10 |
| 3 |  TEN | Easy | 106 | 6.32 | 10 |
| 4 |  SEA | Easy | 106 | 6.30 | 10 |
| 5 | DAL | Easy | 105 | 6.24 | 10 |
| 6 | MIN | Easy | 104 | 6.20 | 11 |
| 7 |  HOU | Easy | 104 | 6.19 | 10 |
| 8 | ARI | Easy | 102 | 6.09 | 10 |
| 9 | NYG | Easy | 102 | 6.08 | 10 |
| 10 |  DET | Easy | 102 | 6.05 | 11 |
| 11 | TB | Average | 102 | 6.06 | 10 |
| 12 |  CIN | Average | 101 | 6.05 | 11 |
| 13 |  LAR | Average | 101 | 6.01 | 10 |
| 14 | CLE | Average | 100 | 5.98 | 10 |
| 15 | LAC | Average | 100 | 5.97 | 11 |
| 16 | WSH | Average | 100 | 5.97 | 11 |
| 17 | BUF | Average | 99 | 5.92 | 11 |
| 18 | MIA | Average | 99 | 5.90 | 11 |
| 19 | IND | Average | 99 | 5.88 | 10 |
| 20 | KC | Average | 98 | 5.84 | 11 |
| 21 | SF | Average | 98 | 5.84 | 10 |
| 22 |  NO | Average | 98 | 5.81 | 10 |
| 23 |  DEN | Hard | 97 | 5.77 | 10 |
| 24 | CHI | Hard | 97 | 5.76 | 10 |
| 25 | CAR | Hard | 96 | 5.73 | 11 |
| 26 |  PIT | Hard | 96 | 5.72 | 10 |
| 27 |  LV | Hard | 95 | 5.69 | 10 |
| 28 |  GB | Hard | 95 | 5.67 | 10 |
| 29 | ATL | Hard | 95 | 5.65 | 10 |
| 30 | NE | Hard | 95 | 5.64 | 10 |
| 31 |  BAL | Hard | 94 | 5.63 | 10 |
| 32 |  NYJ | Hard | 91 | 5.44 | 10 |
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 — what players have done, not a prediction.
