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UC San Diego

2023 · evaluation season · nil-value-v3 · Team results

Roster valuesβ

Roster values for UC San Diego, 2023: 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
Bryce Pope86.0%-1.5range -2.6 to -0.1Sufficient evidence+2.3range +1.6 to +3.0Sufficient evidenceNone: no budget that season—
Jace Roquemore81.0%-0.7range -1.8 to +0.5Sufficient evidence+2.5range +1.9 to +3.1Sufficient evidenceNone: no budget that season—
Roddie Anderson III80.6%-2.0range -3.0 to -0.7Sufficient evidence+2.0range +1.4 to +2.5Sufficient evidenceNone: no budget that season—
Francis Nwaokorie79.7%+0.2range -0.8 to +1.1Sufficient evidence+2.8range +2.4 to +3.3Sufficient evidenceNone: no budget that season—
Jake Kosakowski54.5%-2.3range -3.8 to -0.4Sufficient evidence+1.3range +0.7 to +1.9Sufficient evidenceNone: no budget that season—
Emmanuel Tshimanga42.1%+2.6range +1.4 to +3.8Sufficient evidence+2.1range +1.8 to +2.4Sufficient evidenceNone: no budget that season—
Vuk Vulikic28.6%-1.2range -2.3 to +0.0Sufficient evidence+0.8range +0.6 to +1.1Sufficient evidenceNone: no budget that season—
Justin DeGraaf20.7%-0.6range -1.7 to +0.5Sufficient evidence+0.7range +0.5 to +0.8Sufficient evidenceNone: no budget that season—
J'Raan Brooks12.3%-0.8range -1.8 to +0.3Limited evidence+0.4range +0.3 to +0.5Limited evidenceNone: no budget that season—
Quin Patterson9.8%-2.3range -3.4 to -1.2Limited evidence+0.2range +0.2 to +0.3Limited evidenceNone: no budget that season—
Camden McCormick4.7%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

24 of 28 games passed lineup acceptance (86%). 100% of accepted on-court possessions are bound to registered players.

  • 4 of 28 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 days18

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.6
Games with fewer rest days than the opponent3
Longest run of consecutive away games7

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