Algosys College Basketball

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Binghamton

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

Roster valuesβ

Roster values for Binghamton, 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
Tymu Chenery91.8%+0.1range -0.8 to +0.7Sufficient evidence+4.0range +3.4 to +4.5Sufficient evidenceNone: no budget that season—
Gavin Walsh82.3%+0.1range -0.8 to +1.0Sufficient evidence+3.6range +3.1 to +4.2Sufficient evidenceNone: no budget that season—
Chris Walker80.1%-0.7range -1.9 to +0.3Sufficient evidence+3.2range +2.6 to +3.8Sufficient evidenceNone: no budget that season—
Wes Peterson61.2%+0.1range -1.0 to +1.1Sufficient evidence+2.8range +2.3 to +3.2Sufficient evidenceNone: no budget that season—
Nehemiah Benson60.0%-1.5range -2.6 to -0.3Sufficient evidence+2.1range +1.7 to +2.6Sufficient evidenceNone: no budget that season—
Ben Callahan-Gold50.2%+0.9range -0.2 to +1.9Sufficient evidence+2.5range +2.1 to +2.9Sufficient evidenceNone: no budget that season—
Evan Ashe47.4%-3.6range -4.7 to -2.4Sufficient evidence+1.1range +0.7 to +1.6Sufficient evidenceNone: no budget that season—
Jayden Lemond15.5%-2.9range -3.7 to -2.0Limited evidence+0.4range +0.3 to +0.5Limited evidenceNone: no budget that season—
Jackson Benigni7.0%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Max Sims2.1%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Stephan Snagg1.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Dominic Capriotti0.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Robby Phillips0.5%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

22 of 29 games passed lineup acceptance (76%). 100% of accepted on-court possessions are bound to registered players.

  • 7 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

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$2,437,431Reported by the school; not NIL pay and not a model output.
Reported expenses$2,437,431Reported 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 day2
2 days7
3 or more days19

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.4
Games with fewer rest days than the opponent2
Longest run of consecutive away games3

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