Algosys College Basketball

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UC Santa Barbara

2026 · descriptive season · nil-value-v3 · Team results

Roster valuesβ

Roster values for UC Santa Barbara, 2026: 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
Aidan Mahaney89.3%+1.5range +0.6 to +2.3Sufficient evidence+7.0range +6.3 to +7.8Sufficient evidenceLoadingLoading
Colin Smith77.6%+2.0range +1.2 to +2.9Sufficient evidence+6.4range +5.9 to +6.9Sufficient evidenceLoadingLoading
CJ Shaw74.6%+0.6range -0.4 to +1.5Sufficient evidence+5.4range +4.8 to +6.0Sufficient evidenceLoadingLoading
Zion Sensley59.1%+1.3range +0.2 to +2.2Sufficient evidence+4.6range +4.1 to +5.1Sufficient evidenceLoadingLoading
Hosana Kitenge56.0%+1.1range +0.1 to +2.1Sufficient evidence+4.3range +3.7 to +4.7Sufficient evidenceLoadingLoading
Marvin McGhee IV46.3%+1.4range +0.3 to +2.4Sufficient evidence+3.6range +3.2 to +4.1Sufficient evidenceLoadingLoading
Miro Little45.5%+1.6range +0.9 to +2.3Sufficient evidence+3.7range +3.3 to +4.0Sufficient evidenceLoadingLoading
Evans Kipruto20.6%+0.0range -0.5 to +0.6Limited evidence+1.4range +1.3 to +1.5Limited evidenceLoadingLoading
Michael Simcoe16.2%-0.2range -1.0 to +0.6Limited evidence+1.1range +0.9 to +1.2Limited evidenceLoadingLoading
Jason Fontenet II8.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
Koat Keat Tong5.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
Luke Zuffelato0.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading

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.

Team pool and per-player compensation · 2025–26β

Loading Speculative compensation

What-if calculator on the team page

School Finances · School-Reported (EADA)

Self-reported to the U.S. Department of Education. Expenses cover coaching, travel, aid and operations, not player pay.

Loading School finances

Coverage and exclusions

14 of 30 games passed lineup acceptance (47%). 100% of accepted on-court possessions are bound to registered players.

  • 16 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

EADA year 2024-25 (alternate pairing to repo season 2026; 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$4,583,984Reported by the school; not NIL pay and not a model output.
Reported expenses$4,583,984Reported 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
1 day1
2 days9
3 or more days19

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.5
Games with fewer rest days than the opponent1
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