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Alabama A&M

2025 · evaluation season · nil-value-v3 · Team results

Roster valuesβ

Roster values for Alabama A&M, 2025: retrospective net points per 100 possessions and, for 2025–26 only, a speculative compensation best guess. Players are listed by possession share, not by value or dollars.
PlayerPossession shareNet and rangeWins above replacement and rangeSpeculative compensation (best guess)Compensation 80% range
Chad Moodie65.6%-2.8range -3.9 to -1.6Sufficient evidence+1.3range +0.9 to +1.7Sufficient evidenceNone: no budget that season—
AC Bryant56.2%-1.0range -2.4 to +0.6Sufficient evidence+1.5range +1.2 to +1.9Sufficient evidenceNone: no budget that season—
Lorenzo Downey54.6%-2.8range -4.0 to -1.7Sufficient evidence+1.1range +0.8 to +1.4Sufficient evidenceNone: no budget that season—
Darius Ford49.4%-2.6range -4.0 to -0.9Sufficient evidence+1.0range +0.7 to +1.4Sufficient evidenceNone: no budget that season—
London Riley36.6%-1.3range -1.9 to -0.7Sufficient evidence+1.0range +0.8 to +1.2Sufficient evidenceNone: no budget that season—
Saliou Seye36.0%-0.5range -1.5 to +0.6Sufficient evidence+1.1range +0.9 to +1.3Sufficient evidenceNone: no budget that season—
Bilal Abdur-Rahman30.8%-1.6range -2.5 to -0.5Sufficient evidence+0.8range +0.6 to +1.0Sufficient evidenceNone: no budget that season—
Clance Crosby27.5%-2.2range -3.2 to -1.0Sufficient evidence+0.6range +0.5 to +0.8Sufficient evidenceNone: no budget that season—
Quincy McGriff25.4%-3.1range -3.9 to -2.1Sufficient evidence+0.5range +0.4 to +0.6Sufficient evidenceNone: no budget that season—
Jaylen Colon23.1%-0.8range -1.8 to +0.3Sufficient evidence+0.7range +0.5 to +0.8Sufficient evidenceNone: no budget that season—
Dylan Mclean22.0%-2.0range -3.0 to -1.0Sufficient evidence+0.5range +0.4 to +0.7Sufficient evidenceNone: no budget that season—
Aaron Smith19.9%-1.8range -2.8 to -0.6Limited evidence+0.5range +0.4 to +0.6Limited evidenceNone: no budget that season—
Angok Anyang16.1%-0.9range -1.5 to -0.3Limited evidence+0.5range +0.4 to +0.5Limited evidenceNone: no budget that season—
Warren Yeh11.4%-3.4range -4.3 to -2.4Limited evidence+0.2range +0.1 to +0.3Limited evidenceNone: no budget that season—
Eric Lee7.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
EJay Greer7.2%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Bol Kuir6.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Austin Harvell2.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Ademola Oladipo0.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Joshua Hughley0.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—

Ranges are the 10th to 90th percentile of whole-game resampling draws. They are not calibrated intervals. Compensation is a speculative best guess of a share of the school's own revenue-sharing budget, not observed pay.

Coverage and exclusions

20 of 29 games passed lineup acceptance (69%). 100% of accepted on-court possessions are bound to registered players.

  • 9 of 29 audited games did not pass lineup acceptance; per-game reasons are counted for the whole season (see methodology), not per team

Program revenueβ

EADA year 2024-25 (primary pairing to repo season 2025; fiscal-year mapping unconfirmed) · self-reported by the school, no external review · EADA revenue is any money used to pay expenses

Reported revenue$1,591,243Reported by the school; not NIL pay and not a model output.
Reported expenses$1,235,045Reported by the school.

EADA link: matched to the registry school by a unique institution name and state.

No model-implied dollar range is shown (status: suppressed). The published dollar status could not be loaded; see NIL methodology for the reason.

Schedule loadβ

Counts are descriptive and associational, with neutral formatting. Consecutive away games is the only travel proxy; distance, time zones and injuries are not modeled.

Rest days before each game

Rest daysGames
First game (no rest value)1
1 day1
2 days9
3 or more days18

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.7
Games with fewer rest days than the opponent0
Longest run of consecutive away games3

Association between rest and margin, all teams

Pooled association passes the declared test (gate S1); not causal and not specific to this team · 0.86 points of margin associated with each extra rest day, range +0.33 to +1.41

This is an association, not a causal lever, pooled across Division I and not specific to this team.

Manifest 13921361a27d · NIL methodology