Algosys College Basketball

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Seattle

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

Roster valuesβ

Roster values for Seattle, 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
Maleek Arington74.9%+0.9range -0.4 to +2.4Sufficient evidence+4.0range +3.2 to +4.9Sufficient evidenceNone: no budget that season—
Matthew-Alexander Moncrieffe66.7%+1.1range -0.2 to +2.1Sufficient evidence+3.7range +3.0 to +4.3Sufficient evidenceNone: no budget that season—
John Christofilis64.7%-0.4range -1.5 to +0.8Sufficient evidence+2.9range +2.4 to +3.5Sufficient evidenceNone: no budget that season—
Paris Dawson60.4%+1.2range -0.1 to +2.5Sufficient evidence+3.4range +2.8 to +4.1Sufficient evidenceNone: no budget that season—
Brayden Maldonado58.6%+1.7range +0.4 to +3.0Sufficient evidence+3.5range +3.0 to +4.1Sufficient evidenceNone: no budget that season—
Kobe Williamson38.8%+0.9range -0.2 to +2.0Sufficient evidence+2.1range +1.8 to +2.5Sufficient evidenceNone: no budget that season—
Malek Gomma27.4%+0.4range -0.6 to +1.7Sufficient evidence+1.4range +1.1 to +1.7Sufficient evidenceNone: no budget that season—
Houran Dan27.4%+1.1range +0.1 to +2.3Sufficient evidence+1.5range +1.3 to +1.8Sufficient evidenceNone: no budget that season—
DaSean Stevens25.6%+1.3range +0.2 to +2.7Sufficient evidence+1.4range +1.2 to +1.7Sufficient evidenceNone: no budget that season—
Vasja Pandža22.8%-1.6range -2.6 to -0.6Sufficient evidence+0.8range +0.6 to +1.1Sufficient evidenceNone: no budget that season—
Will Heimbrodt20.3%+0.4range -0.6 to +1.6Sufficient evidence+1.0range +0.9 to +1.2Sufficient evidenceNone: no budget that season—
Viktor Rajković12.6%-0.4range -1.2 to +0.3Limited evidence+0.6range +0.5 to +0.7Limited evidenceNone: 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

28 of 30 games passed lineup acceptance (93%). 100% of accepted on-court possessions are bound to registered players.

  • 2 of 30 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 expensesrevenue equals expenses

Reported revenue$3,375,756Reported by the school; not NIL pay and not a model output.
Reported expenses$3,375,756Reported 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 days7
3 or more days21

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.3
Games with fewer rest days than the opponent3
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