Algosys College Basketball

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Evansville

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

Roster valuesβ

Roster values for Evansville, 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
Gabriel Pozzato99.4%+0.6range +0.1 to +1.2Sufficient evidence+4.2range +3.8 to +4.6Sufficient evidenceNone: no budget that season—
Tayshawn Comer96.4%+1.2range +0.5 to +1.7Sufficient evidence+4.4range +3.9 to +4.8Sufficient evidenceNone: no budget that season—
Joshua Hughes86.2%+0.3range -0.4 to +0.7Sufficient evidence+3.6range +3.2 to +4.0Sufficient evidenceNone: no budget that season—
Tanner Cuff81.9%+0.2range -0.4 to +1.0Sufficient evidence+3.4range +3.1 to +3.9Sufficient evidenceNone: no budget that season—
Connor Turnbull63.0%+1.9range +1.3 to +2.5Sufficient evidence+3.3range +2.9 to +3.6Sufficient evidenceNone: no budget that season—
Gui Tesch35.3%-1.3range -2.0 to -0.5Limited evidence+1.3range +1.1 to +1.5Limited evidenceNone: no budget that season—
Kaia Berridge20.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Michael Day13.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Trent Hundley3.5%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

9 of 31 games passed lineup acceptance (29%). 100% of accepted on-court possessions are bound to registered players.

  • 22 of 31 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$3,212,821Reported by the school; not NIL pay and not a model output.
Reported expenses$3,212,821Reported 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
2 days1
3 or more days29

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.4
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