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UT San Antonio

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

Roster valuesβ

Roster values for UT San Antonio, 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
John Buggs III76.9%-1.8range -2.9 to -0.5Sufficient evidence+1.8range +1.3 to +2.3Sufficient evidenceNone: no budget that season—
Japhet Medor70.6%+0.2range -0.7 to +1.2Sufficient evidence+2.3range +1.9 to +2.7Sufficient evidenceNone: no budget that season—
DJ Richards68.9%-1.4range -2.4 to -0.0Sufficient evidence+1.7range +1.2 to +2.2Sufficient evidenceNone: no budget that season—
Jacob Germany63.0%-1.7range -3.0 to -0.5Sufficient evidence+1.5range +1.0 to +1.9Sufficient evidenceNone: no budget that season—
Josh Farmer41.5%-3.9range -5.5 to -2.6Sufficient evidence+0.5range +0.1 to +0.9Sufficient evidenceNone: no budget that season—
Christian Tucker36.9%-1.7range -2.9 to -0.3Sufficient evidence+0.9range +0.6 to +1.2Sufficient evidenceNone: no budget that season—
Isaiah Addo-Ankrah34.2%+0.4range -0.4 to +1.3Sufficient evidence+1.2range +1.0 to +1.4Sufficient evidenceNone: no budget that season—
Erik Czumbel31.2%-4.1range -5.1 to -3.0Sufficient evidence+0.4range +0.2 to +0.6Sufficient evidenceNone: no budget that season—
Massal Diouf26.5%-0.4range -1.4 to +0.7Sufficient evidence+0.8range +0.6 to +1.0Sufficient evidenceNone: no budget that season—
Aleu Aleu19.6%-2.7range -3.5 to -1.8Sufficient evidence+0.4range +0.3 to +0.5Sufficient evidenceNone: no budget that season—
Lamin Sabally14.7%-0.7range -1.4 to +0.2Limited evidence+0.4range +0.4 to +0.5Limited evidenceNone: no budget that season—
Lachlan Bofinger13.1%-1.2range -1.8 to -0.5Limited evidence+0.4range +0.3 to +0.4Limited evidenceNone: no budget that season—
Azavier Johnson2.8%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

26 of 30 games passed lineup acceptance (87%). 100% of accepted on-court possessions are bound to registered players.

  • 4 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

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 days9
3 or more days19

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.6
Games with fewer rest days than the opponent0
Longest run of consecutive away games2

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