Newest eligible ECR
The board uses the newest ready, unretracted expert-consensus observation published by the cutoff. Position rank is used only when an overall rank is unavailable.
Public rankings keep attributed expert rank, consensus market ADP, and scoring-specific projections separate. League-specific recommendations then apply your scoring, roster, lineup, player availability, and acquisition context.
Every displayed input retains its source and observation time. The selected season, scoring format, team count, and quarterback format determine which evidence belongs on a public board.
The board uses the newest ready, unretracted expert-consensus observation published by the cutoff. Position rank is used only when an overall rank is unavailable.
Consensus ADP combines matching human drafts, human mocks, and provider consensus. Recency, sample size, confidence, and source independence affect the blend.
Expected points are the point forecast. When a matching fitted outcome model is available, floor and ceiling come from its player-specific lower and upper outcome quantiles. Otherwise the range is shown as unavailable.
Provider names, links, formats, update times, rank ranges, draft samples, and market movement remain attached when the source supplies them.
Market behavior, expert opinion, and League Read’s projection-derived value answer different questions, so the site labels them separately.
The retained ranking source supplies the board’s expert ordering and, when available, its best-to-worst rank range.
This is observed draft behavior. It does not use League Read projections and is not presented as a value prediction.
Scoring-specific points are compared with positional replacement and adjusted for roster demand and scarcity.
rank(demand × (projected points − position replacement + immediate scarcity drop))
Default 12-team, 1-QB public baseline
next best plausible rank > current worst plausible rank + 0.5
Position bands are used when ranking uncertainty is unavailable.
A connected league uses the same projection authority, then adds its rules, roster construction, available players, and timing. Each component is normalized from 0 to 1 before weighting.
demand × (60% VORP + 20% position + 12% scarcity) + 8% confidence
QB, RB, WR, TE, K, and DST each use their own replacement depth and demand. Scarcity is the projected-point drop to the next player at that position in the roster-neutral comparison pool, not a count of rostered players. Those position-level results are then normalized across the full league board. Prior rosters, keepers, owner behavior, and ADP do not enter League Read rank; they affect separately labeled availability and expected-pick signals.
60% league + 22% lineup + 10% bench + 8% need
With an active selected roster, Players combines the underlying League Read rank with lineup gain, bench improvement, and need. Before the draft it leaves prior-season rosters out and does not publish a personal rank. Once drafting starts, roster status uses current picks and confirmed keepers rather than prior snapshots. It never borrows claim pressure or FAAB logic.
65% league + 12% lineup + 8% bench + 15% need
The lineup optimizer compares the developing draft roster before and after a player is added. Roster need cannot replace the underlying League Read rank.
45% league + 32% lineup + 13% bench + 10% need
Waiver value gives more weight to immediate lineup improvement and the effect of the likely drop.
75% personal value + 25% acquisition urgency
ADP, availability at the next pick, waiver claim pressure, opponent need, and recorded owner behavior affect urgency without rewriting player value.
League Read evaluates a model only on outcomes that were not available during training. The window advances through history so later information cannot influence an earlier prediction.
MAE measures the average miss. RMSE penalizes large misses more heavily. Decision-weighted MAE emphasizes players near lineup cutoffs.
Spearman correlation measures whether the model orders players correctly, not merely whether point totals are close.
The predicted starter-caliber group is compared with the players who actually finished in that group.
Weekly quantile levels are chosen using earlier calibration weeks. Complete remaining-season ranges use the 10th and 90th percentiles. Later untouched weeks test coverage, width, and large misses.
Confidence estimates the chance that actual points finish within that position's historical median projection miss. Earlier replay weeks calibrate the probability and later weeks test whether, for example, 70% confidence happens about 70% of the time.
Expected points account for the chance a player is inactive. A range that mixes inactive and active outcomes requires a fitted active-outcome distribution; when that evidence is missing, the range is unavailable.
Expert rank and ADP summarize other people’s rankings and draft behavior. They remain separate from League Read model output.
Rank ranges, projection ranges, samples, and market movement appear only when the retained source provides them.
A public board cannot know private scoring rules, rosters, available players, waiver timing, or owner behavior.
The active public point models below retain their chronological release evaluations. Their historical range-coverage figures describe a retired range calculation and do not validate a current floor or ceiling. A current range appears only when a matching fitted outcome model is available. External point results compare League Read and each source on the same players and weeks.
League Read recorded 1.4% lower MAE.
League Read recorded 41.2% lower MAE.
League Read recorded 0.2% lower MAE.
League Read recorded 36.6% lower MAE.
nfl-com-archive recorded 0.5% lower MAE.
League Read recorded 32.5% lower MAE.
Published comparisons are aggregate accuracy results, not redistributed provider projections. Rank products such as ECR and market products such as ADP remain separate because neither is an external point projection.
View current rankings