Roster Advice
Model → real add/drop/read decisions for a posted roster (composes with Sleeper sync).
Intelligence engines
How we read it
Scoring-zone leaders · 2025 through week 18
Real nflverse play-by-play, filtered to the red zone and goal line. We read TD equity from OPPORTUNITY share (sticky), regress conversion rate toward the positional mean, and flag high-share/low-TD as buy and high-TD/low-share as sell. Context, not a pick.
| # | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | C.McCaffrey | SF | RB | 76 | 26 | 25 | 51% | 17 | 17% | 17% | Buy |
| 2 | J.Taylor | IND | RB | 75 | 6 | 26 | 42% | 16 | 20% | 19% | Buy |
| 3 | A.Jeanty | LV | RB | 36 | 10 | 12 | 41% | 7 | 15% | 16% | Buy |
| 4 | D.Henry | BAL | RB | 64 | 2 | 27 | 39% | 10 | 15% | 15% | Buy |
| 5 | J.Gibbs | DET | RB | 53 | 15 | 12 | 36% | 14 | 21% | 20% | Buy |
| 6 | J.Jacobs | GB | RB | 54 | 7 | 20 | 36% | 13 | 21% | 21% | Buy |
| 7 | B.Robinson | ATL | RB | 37 | 14 | 14 | 36% | 8 | 16% | 16% | Buy |
| 8 | S.Barkley | PHI | RB | 45 | 8 | 17 | 34% | 6 | 11% | 12% | Buy |
| 9 | C.Brown | CIN | RB | 38 | 12 | 17 | 34% | 11 | 22% | 21% | Buy |
| 10 | J.Williams | DAL | RB | 55 | 13 | 24 | 33% | 12 | 18% | 18% | Buy |
| 11 | Z.Charbonnet | SEA | RB | 52 | 3 | 20 | 32% | 11 | 20% | 19% | Buy |
| 12 | D.Achane | MIA | RB | 33 | 12 | 6 | 32% | 6 | 13% | 14% | Buy |
| 13 | K.Williams | LA | RB | 55 | 10 | 18 | 31% | 13 | 20% | 19% | Buy |
| 14 | T.Etienne | JAX | RB | 54 | 10 | 13 | 31% | 10 | 16% | 16% | Buy |
| 15 | J.Cook | BUF | RB | 56 | 3 | 17 | 30% | 8 | 14% | 14% | Buy |
| 16 | Q.Judkins | CLE | RB | 34 | 1 | 13 | 28% | 6 | 17% | 17% | Buy |
| 17 | J.Warren | PIT | RB | 41 | 5 | 15 | 28% | 5 | 11% | 12% | Buy |
| 18 | R.Dowdle | CAR | RB | 35 | 5 | 9 | 27% | 6 | 15% | 15% | Buy |
| 19 | B.Hall | NYJ | RB | 24 | 9 | 5 | 26% | 2 | 6% | 9% | Buy |
| 20 | K.Hunt | KC | RB | 38 | 6 | 16 | 25% | 9 | 21% | 20% | Buy |
| 21 | K.Gainwell | PIT | RB | 24 | 18 | 11 | 25% | 7 | 17% | 17% | Buy |
| 22 | W.Marks | HOU | RB | 34 | 8 | 11 | 25% | 5 | 12% | 13% | Buy |
| 23 | T.Henderson | NE | RB | 36 | 4 | 9 | 24% | 6 | 15% | 15% | Buy |
| 24 | T.Allgeier | ATL | RB | 33 | 1 | 10 | 24% | 7 | 21% | 20% | Buy |
| 25 | D.Swift | CHI | RB | 40 | 1 | 14 | 24% | 8 | 20% | 19% | Buy |
| 26 | K.Monangai | CHI | RB | 38 | 3 | 12 | 24% | 5 | 12% | 13% | Buy |
| 27 | R.Harvey | DEN | RB | 29 | 11 | 13 | 23% | 9 | 23% | 21% | Buy |
| 28 | K.Walker | SEA | RB | 35 | 4 | 8 | 23% | 4 | 10% | 12% | Buy |
| 29 | J.Croskey-Merritt | WAS | RB | 33 | 1 | 13 | 23% | 7 | 21% | 20% | Buy |
| 30 | C.Rodriguez | WAS | RB | 33 | 1 | 14 | 23% | 6 | 18% | 17% | Buy |
| 31 | T.McBride | ARI | WR/TE | 0 | 36 | 7 | 22% | 11 | 31% | 29% | In-line |
| 32 | T.Pollard | TEN | RB | 21 | 1 | 5 | 22% | 3 | 14% | 15% | Buy |
| 33 | D.Montgomery | DET | RB | 37 | 3 | 18 | 21% | 6 | 15% | 15% | Buy |
| 34 | J.Mason | MIN | RB | 29 | 1 | 7 | 21% | 6 | 20% | 19% | Buy |
| 35 | R.Stevenson | NE | RB | 28 | 6 | 13 | 20% | 6 | 18% | 17% | Buy |
| 36 | K.Vidal | LAC | RB | 26 | 6 | 7 | 20% | 3 | 9% | 11% | Buy |
| 37 | O.Hampton | LAC | RB | 29 | 2 | 9 | 19% | 4 | 13% | 14% | Buy |
| 38 | A.St. Brown | DET | WR/TE | 1 | 35 | 9 | 19% | 10 | 28% | 27% | In-line |
| 39 | R.White | TB | RB | 19 | 11 | 9 | 19% | 4 | 13% | 14% | Buy |
| 40 | C.Hubbard | CAR | RB | 20 | 6 | 5 | 18% | 2 | 8% | 10% | Buy |
Real nflverse play-by-play, filtered to the red zone and goal line. We read TD equity from OPPORTUNITY share (sticky), regress conversion rate toward the positional mean, and flag high-share/low-TD as buy and high-TD/low-share as sell. Context, not a pick.
Data via nflverse (nflverse-data), licensed CC BY 4.0. How we source data
More engines & APIs
Some engines are POST-only or founder-gated, and three player engines render on the player boards under /players. They stay indexed and reachable here.
Model → real add/drop/read decisions for a posted roster (composes with Sleeper sync).
Composes the model + xFP + team environment (real schemeFit from neutral-script offensive EPA) + QB-forward passing signal into a real graded pool that drives every fantasy tool when the founder enables it.
ESPN QBR (results) vs Next Gen CPOE (accuracy), triangulated — disagreement surfaced, not averaged.
RYOE/att vs volume with stacked-box context — bell-cow / buy-low / volume-dependent.
Air-yards & target share → WOPR, with opportunity-vs-production buy/sell.