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How League Read ranks players

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.

Ranked players
284
Attributed sources
2
Consensus ADP coverage
45%
Latest update

Inputs, sources, and freshness

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.

Expert rank

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.

Draft market

Matching ADP only

Consensus ADP combines matching human drafts, human mocks, and provider consensus. Recency, sample size, confidence, and source independence affect the blend.

Projections

Scoring-specific points

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.

Provenance

Sources stay visible

Provider names, links, formats, update times, rank ranges, draft samples, and market movement remain attached when the source supplies them.

Value Rank and tier boundaries

Market behavior, expert opinion, and League Read’s projection-derived value answer different questions, so the site labels them separately.

Expert rank

How experts order players

The retained ranking source supplies the board’s expert ordering and, when available, its best-to-worst rank range.

Consensus market ADP

Where matching drafts select players

This is observed draft behavior. It does not use League Read projections and is not presented as a value prediction.

League Read Value Rank

Projected value above replacement

Scoring-specific points are compared with positional replacement and adjusted for roster demand and scarcity.

Value Rank rank(demand × (projected points − position replacement + immediate scarcity drop)) Default 12-team, 1-QB public baseline
Tier boundary next best plausible rank > current worst plausible rank + 0.5 Position bands are used when ranking uncertainty is unavailable.

League-specific recommendations

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.

League Read rank 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.

Personal Players rank 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.

Personal draft value 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.

Personal waiver value 45% league + 32% lineup + 13% bench + 10% need

Waiver value gives more weight to immediate lineup improvement and the effect of the likely drop.

Action order 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.

Chronological holdout evaluation

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.

Train earlier weeks Predict the next untouched week Score against actual results Repeat with a larger window
Point error

MAE and RMSE

MAE measures the average miss. RMSE penalizes large misses more heavily. Decision-weighted MAE emphasizes players near lineup cutoffs.

Ordering

Rank correlation

Spearman correlation measures whether the model orders players correctly, not merely whether point totals are close.

Useful selections

Top-player hit rate

The predicted starter-caliber group is compared with the players who actually finished in that group.

Range calibration

Held-out interval coverage

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.

Projection confidence

A testable probability

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.

Availability

Inactive and active outcomes

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.

Model promotion requirements

  • Compare only models with the same scoring, roster, lineup, team-count, and quarterback settings.
  • For generated ranges, require newly fitted weekly and remaining-season outcome models with complete held-out replay.
  • Check minimum held-out sample size, interval score, and absolute coverage against the configured range requirement.
  • Keep earlier point-model comparison rules for saved legacy acceptance profiles; retired percentage bands do not decide generated-range selection.

Limitations

Consensus is not a prediction

Expert rank and ADP summarize other people’s rankings and draft behavior. They remain separate from League Read model output.

Coverage varies by source

Rank ranges, projection ranges, samples, and market movement appear only when the retained source provides them.

League context changes decisions

A public board cannot know private scoring rules, rosters, available players, waiver timing, or owner behavior.

Current validation status

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.

Promoted chronological evidence

Standard · 12-team · 1 QB

Evaluated
Holdout
7,891 player-weeks
Seasons
2025
MAE
3.230
RMSE
5.028
Rank correlation
0.597
Top-player hit rate
56.0%
Range coverage
0.0%
nfl-com-archive4,843 identical player-weeks
Timing verified

League Read recorded 1.4% lower MAE.

MAE
League Read 3.496 · nfl-com-archive 3.545
RMSE
LR 5.380 · nfl-com-archive 5.173
Rank correlation
LR 0.596 · nfl-com-archive 0.606
Top-player hit rate
LR 62.0% · nfl-com-archive 63.3%
Range coverage
LR 0.0% · nfl-com-archive 0.1%
Sleeper retrospective5,866 identical player-weeks
Timing unverified

League Read recorded 41.2% lower MAE.

MAE
League Read 3.382 · Sleeper retrospective 5.755
RMSE
LR 5.268 · Sleeper retrospective 9.123
Rank correlation
LR 0.589 · Sleeper retrospective -0.431
Top-player hit rate
LR 60.1% · Sleeper retrospective 19.9%
Range coverage
LR 0.0% · Sleeper retrospective 13.9%
Original pre-kickoff publication timing is not verified, so this comparison did not qualify for the leakage-safe promotion gate.
Promoted chronological evidence

Half PPR · 12-team · 1 QB

Evaluated
Holdout
7,891 player-weeks
Seasons
2025
MAE
3.536
RMSE
5.350
Rank correlation
0.612
Top-player hit rate
56.4%
Range coverage
0.0%
nfl-com-archive4,843 identical player-weeks
Timing verified

League Read recorded 0.2% lower MAE.

MAE
League Read 3.893 · nfl-com-archive 3.902
RMSE
LR 5.792 · nfl-com-archive 5.584
Rank correlation
LR 0.614 · nfl-com-archive 0.625
Top-player hit rate
LR 62.7% · nfl-com-archive 63.7%
Range coverage
LR 0.0% · nfl-com-archive 0.1%
Sleeper retrospective5,866 identical player-weeks
Timing unverified

League Read recorded 36.6% lower MAE.

MAE
League Read 3.773 · Sleeper retrospective 5.954
RMSE
LR 5.668 · Sleeper retrospective 9.327
Rank correlation
LR 0.608 · Sleeper retrospective 0.598
Top-player hit rate
LR 60.5% · Sleeper retrospective 57.9%
Range coverage
LR 0.0% · Sleeper retrospective 0.2%
Original pre-kickoff publication timing is not verified, so this comparison did not qualify for the leakage-safe promotion gate.
Promoted chronological evidence

PPR · 12-team · 1 QB

Evaluated
Holdout
7,891 player-weeks
Seasons
2025
MAE
3.871
RMSE
5.745
Rank correlation
0.619
Top-player hit rate
57.3%
Range coverage
0.0%
nfl-com-archive4,843 identical player-weeks
Timing verified

nfl-com-archive recorded 0.5% lower MAE.

MAE
League Read 4.330 · nfl-com-archive 4.308
RMSE
LR 6.289 · nfl-com-archive 6.074
Rank correlation
LR 0.624 · nfl-com-archive 0.634
Top-player hit rate
LR 63.7% · nfl-com-archive 64.5%
Range coverage
LR 0.0% · nfl-com-archive 0.1%
Sleeper retrospective5,866 identical player-weeks
Timing unverified

League Read recorded 32.5% lower MAE.

MAE
League Read 4.200 · Sleeper retrospective 6.221
RMSE
LR 6.154 · Sleeper retrospective 9.588
Rank correlation
LR 0.617 · Sleeper retrospective 0.613
Top-player hit rate
LR 61.8% · Sleeper retrospective 59.0%
Range coverage
LR 0.0% · Sleeper retrospective 0.3%
Original pre-kickoff publication timing is not verified, so this comparison did not qualify for the leakage-safe promotion gate.

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.

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