Ranking benchmark
Model Zero vs 100 FantasyPros football experts
Model Zero finished 170–511 against 681 expert analyst boards across thirteen NFL seasons, comparing players within their positions. Explore each matchup and its sources.
Each panelist is scored on his own preseason board. The FantasyPros consensus — the whole panel averaged — is graded on the competition page.
See the website-level record →The comparison
Pick a year.
Within-position rank error (%). Lower wins.
Each bar is Model Zero's percentage edge inside that source's own matched-player pool. Use it to compare direction and relative edge—not raw miss scores across differently sized boards.
The table
2025, line by line
| Source / analyst | Players | Model Zero | Their score | Result |
|---|---|---|---|---|
FantasyPros | 263 | 23.527% | 20.646% | Lost by 2.88 |
Andrew Sears FantasyPros | 259 | 24.267% | 24.303% | Won by 0.04 |
FantasyPros | 252 | 25.175% | 23.936% | Lost by 1.24 |
Brad EvansX FantasyPros | 226 | 24.271% | 24.268% | Lost by 0.00 |
FantasyPros | 302 | 22.890% | 21.584% | Lost by 1.31 |
FantasyPros | 268 | 23.650% | 22.990% | Lost by 0.66 |
FantasyPros | 257 | 25.238% | 24.930% | Lost by 0.31 |
FantasyPros | 316 | 22.094% | 22.651% | Won by 0.56 |
Dave McKayX FantasyPros | 260 | 25.307% | 22.944% | Lost by 2.36 |
FantasyPros | 260 | 24.690% | 22.204% | Lost by 2.49 |
FantasyPros | 175 | 23.285% | 23.976% | Won by 0.69 |
FantasyPros | 320 | 21.644% | 22.756% | Won by 1.11 |
FantasyPros | 263 | 24.815% | 22.799% | Lost by 2.02 |
FantasyPros | 255 | 24.664% | 23.183% | Lost by 1.48 |
Huseyin AksuX FantasyPros | 257 | 24.564% | 24.628% | Won by 0.06 |
| 273 | 23.700% | 27.299% | Won by 3.60 | |
Jacob HubmanX FantasyPros | 204 | 25.980% | 26.544% | Won by 0.56 |
FantasyPros | 259 | 24.256% | 24.163% | Lost by 0.09 |
Jeff PaurX FantasyPros | 263 | 24.193% | 21.573% | Lost by 2.62 |
| 345 | 16.914% | 17.222% | Won by 0.31 | |
FantasyPros | 112 | 26.037% | 24.161% | Lost by 1.88 |
FantasyPros | 260 | 25.307% | 23.373% | Lost by 1.93 |
FantasyPros | 257 | 24.993% | 24.543% | Lost by 0.45 |
KJ FantasyPros | 312 | 23.178% | 22.064% | Lost by 1.11 |
Kevin SteeleX FantasyPros | 262 | 25.850% | 22.280% | Lost by 3.57 |
Kyle August FantasyPros | 184 | 26.344% | 24.012% | Lost by 2.33 |
FantasyPros | 214 | 26.077% | 25.983% | Lost by 0.09 |
FantasyPros | 259 | 24.256% | 24.163% | Lost by 0.09 |
Nick ErcolanoX FantasyPros | 172 | 23.150% | 22.597% | Lost by 0.55 |
FantasyPros | 200 | 23.837% | 24.800% | Won by 0.96 |
FantasyPros | 201 | 24.643% | 23.537% | Lost by 1.11 |
FantasyPros | 263 | 24.407% | 24.518% | Won by 0.11 |
FantasyPros | 241 | 24.695% | 24.241% | Lost by 0.45 |
Across every season
Best win, toughest loss, closest call.
Sleeper receipts
One for us. One for them.
Experimental all-time leaderboard
Everybody, stacked up.
Lower is better. Board size is normalized, multiple boards are averaged within a season, and every season counts equally. No small-sample adjustment is applied.
Each position’s weighted rank error is divided by its matched rank range, then positions are averaged equally. The model uses all displayed matchup pools; each opponent uses its own pools. Only sources with at least two scored seasons appear; two-season entries are labeled as small samples.
Sources
Check every board.
Each link opens the exact raw FantasyPros feed response used here. One board per expert per season: PPR first, then standard, then half-PPR when the preferred formats are unavailable. Boards under 80 players and boards published after opening kickoff are excluded.
2025
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2021
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2018
2017
2016
2015
2014
2013
* Rookies are removed before each pool is ranked. Players who never took the field that season have no finish to grade and drop from both sides equally. The consensus rows are FantasyPros' archived draft-year experts' consensus ranking served by their rankings feed.
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