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Sortable, filterable leaderboards across every tracked metric.
De'Von AchaneRBIR
Cam SkatteboRBQUESTIONABLE
Christian McCaffreyRBQUESTIONABLE
Jahmyr GibbsRBQUESTIONABLE
Aaron Jones Sr.RBQUESTIONABLE
Tyjae SpearsRBQUESTIONABLE
Kenny GainwellRBQUESTIONABLEShowing 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 |  Germie BernardWR PIT | +2.66 | 94%from 63% | 4 wk44 snaps |
| 2 |  Marquez Valdes-ScantlingWR LAC | +1.51 | 75%from 39% | 3 wk26 snaps |
| 3 |  Malik NabersWR NYG | +1.43 | 86%from 83% | 4 wk62 snaps |
| 4 |  Kendrick BourneWR ARI | +1.39 | 57%from 56% | 4 wk42 snaps |
| 5 |  Emeka EgbukaWR TB | +1.33 | 86%from 86% | 4 wk60 snaps |
| 6 |  Jalen BrooksWRARI | +1.12 | 53%from 29% | 4 wk21 snaps |
| 7 |  Jalen RoyalsWR KC | +1.06 | 74%from 52% | 3 wk31 snaps |
| 8 |  Brandin CooksWR SF | +1.05 | 52%from 35% | 3 wk21 snaps |
| 9 |  Malachi FieldsWRNYG | +1.03 | 94%from 75% | 4 wk56 snaps |
| 10 |  DK MetcalfWRPIT | +0.97 | 95%from 95% | 4 wk65 snaps |
| 11 |  Jerry JeudyWR CLE | +0.95 | 62%from 58% | 4 wk39 snaps |
| 12 |  Kevin Coleman Jr.WR MIA | +0.88 | 64%from 59% | 3 wk36 snaps |
| 13 |  Amon-Ra St. BrownWR DET | +0.87 | 86%from 85% | 3 wk58 snaps |
| 14 |  CeeDee LambWR DAL | +0.81 | 88%from 78% | 4 wk58 snaps |
| 15 |  Jahan DotsonWR ATL | +0.79 | 85%from 70% | 4 wk43 snaps |
| 16 |  Tre TuckerWR LV | +0.78 | 70%from 67% | 4 wk47 snaps |
| 17 |  Treylon BurksWR WSH | +0.77 | 55%from 56% | 4 wk36 snaps |
| 18 |  Keon ColemanWR BUF | +0.76 | 85%from 70% | 4 wk45 snaps |
| 19 |  Matthew GoldenWR GB | +0.70 | 84%from 83% | 4 wk54 snaps |
| 20 |  Jaylin NoelWR HOU | +0.65 | 49%from 46% | 4 wk27 snaps |
| 21 |  Calvin RidleyWR TEN | +0.64 | 61%from 49% | 4 wk28 snaps |
| 22 |  Tai FeltonWR MIN | +0.64 | 66%from 60% | 3 wk42 snaps |
| 23 |  Cooper KuppWR SEA | +0.61 | 85%from 73% | 4 wk51 snaps |
| 24 |  Troy FranklinWR DEN | +0.60 | 52%from 46% | 4 wk29 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.
