Algosys College Basketball

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Seattle

2024 · evaluation season · nil-value-v3 · Team results

Roster valuesβ

Roster values for Seattle, 2024: 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
Alex Schumacher76.9%+1.4range +0.8 to +2.1Sufficient evidence+4.1range +3.6 to +4.7Sufficient evidenceNone: no budget that season—
Cameron Tyson75.5%+1.9range +0.5 to +3.1Sufficient evidence+4.3range +3.4 to +5.2Sufficient evidenceNone: no budget that season—
Brandton Chatfield60.6%+3.1range +1.7 to +4.3Sufficient evidence+3.9range +3.2 to +4.6Sufficient evidenceNone: no budget that season—
Kobe Williamson59.5%-1.0range -2.3 to +0.2Sufficient evidence+2.1range +1.6 to +2.9Sufficient evidenceNone: no budget that season—
John Christofilis54.8%+0.3range -1.1 to +1.4Sufficient evidence+2.4range +1.8 to +3.1Sufficient evidenceNone: no budget that season—
Paris Dawson54.8%+0.5range -0.7 to +1.8Sufficient evidence+2.6range +2.0 to +3.2Sufficient evidenceNone: no budget that season—
Seyi Reiley47.8%+2.1range +0.7 to +3.2Sufficient evidence+2.7range +2.2 to +3.2Sufficient evidenceNone: no budget that season—
Vasja Pandža28.7%-0.2range -1.1 to +0.7Sufficient evidence+1.2range +1.0 to +1.4Sufficient evidenceNone: no budget that season—
Viktor Rajković19.7%-0.7range -1.5 to +0.1Sufficient evidence+0.7range +0.6 to +0.9Sufficient evidenceNone: no budget that season—
Malek Gomma10.0%-0.3range -1.3 to +1.0Limited evidence+0.4range +0.3 to +0.5Limited evidenceNone: no budget that season—
Matthew Levis9.6%+0.1range -0.2 to +0.6Limited evidence+0.4range +0.4 to +0.5Limited evidenceNone: no budget that season—
Brody Nunn1.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Nikolas Fotopoulos0.4%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

28 of 32 games passed lineup acceptance (88%). 100% of accepted on-court possessions are bound to registered players.

  • 4 of 32 audited games did not pass lineup acceptance; per-game reasons are counted for the whole season (see methodology), not per team

Program revenueβ

No program revenue was published for this team.

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 days8
3 or more days22

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.5
Games with fewer rest days than the opponent2
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