Algosys College Basketball

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San Diego

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

Roster valuesβ

Roster values for 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
Wayne McKinney III69.1%-0.1range -1.2 to +1.0Sufficient evidence+2.6range +2.1 to +3.2Sufficient evidenceNone: no budget that season—
Sigu Sisoho Jawara66.5%-1.0range -2.3 to +0.2Sufficient evidence+2.1range +1.5 to +2.7Sufficient evidenceNone: no budget that season—
Marcellus Earlington66.0%+0.0range -1.4 to +1.7Sufficient evidence+2.5range +1.9 to +3.2Sufficient evidenceNone: no budget that season—
Eric Williams Jr.60.9%-0.8range -2.0 to +0.5Sufficient evidence+2.1range +1.5 to +2.6Sufficient evidenceNone: no budget that season—
Jase Townsend58.8%-0.4range -1.8 to +1.0Sufficient evidence+2.1range +1.6 to +2.6Sufficient evidenceNone: no budget that season—
Deuce Turner36.0%-0.8range -1.7 to +0.2Sufficient evidence+1.2range +1.0 to +1.5Sufficient evidenceNone: no budget that season—
Jaiden Delaire26.6%-0.6range -1.2 to -0.1Sufficient evidence+0.9range +0.8 to +1.1Sufficient evidenceNone: no budget that season—
Nic Lynch26.0%-1.3range -2.7 to -0.1Sufficient evidence+0.8range +0.6 to +1.1Sufficient evidenceNone: no budget that season—
Bendji Pierre23.5%-0.5range -1.4 to +0.1Limited evidence+0.9range +0.7 to +1.0Limited evidenceNone: no budget that season—
Deven Dahlke18.1%+0.1range -0.6 to +0.6Limited evidence+0.7range +0.6 to +0.9Limited evidenceNone: no budget that season—
Steven Jamerson II15.2%+0.4range -0.3 to +1.0Limited evidence+0.6range +0.5 to +0.7Limited evidenceNone: no budget that season—
Neel Beniwal14.9%-1.3range -1.9 to -0.7Limited evidence+0.5range +0.4 to +0.6Limited evidenceNone: no budget that season—
Jeremiah Nyarko9.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Dominic Muncey5.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Yavuz Gultekin2.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Elliyas Delaire0.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Patrick Gallagher0.3%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

18 of 29 games passed lineup acceptance (62%). 100% of accepted on-court possessions are bound to registered players.

  • 11 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

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 days11
3 or more days16

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.4
Games with fewer rest days than the opponent5
Longest run of consecutive away games5

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