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CS Sacramento

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

Roster valuesβ

Roster values for CS Sacramento, 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
Austin Patterson78.8%-1.9range -3.0 to -0.8Sufficient evidence+2.5range +1.7 to +3.2Sufficient evidenceNone: no budget that season—
Zach Chappell77.2%-0.9range -1.9 to +0.1Sufficient evidence+2.9range +2.3 to +3.5Sufficient evidenceNone: no budget that season—
Callum McRae70.7%+0.3range -1.0 to +1.6Sufficient evidence+3.2range +2.5 to +3.9Sufficient evidenceNone: no budget that season—
Gianni Hunt69.3%-1.3range -2.4 to -0.2Sufficient evidence+2.4range +1.8 to +3.2Sufficient evidenceNone: no budget that season—
Akol Mawein60.0%+1.2range -0.0 to +2.6Sufficient evidence+3.1range +2.6 to +3.7Sufficient evidenceNone: no budget that season—
Cameron Wilbon58.7%-2.1range -3.5 to -1.0Sufficient evidence+1.8range +1.1 to +2.3Sufficient evidenceNone: no budget that season—
Hunter Marks45.1%+1.5range +0.4 to +2.9Sufficient evidence+2.5range +2.1 to +3.0Sufficient evidenceNone: no budget that season—
Quadry Adams27.2%+0.5range -0.9 to +1.8Sufficient evidence+1.3range +1.0 to +1.6Sufficient evidenceNone: no budget that season—
Kiir Kiir Chol Deng10.8%-3.6range -4.6 to -2.7Limited evidence+0.2range +0.1 to +0.3Limited evidenceNone: no budget that season—
Teiano Hardee2.2%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Xavier Ford0.1%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Chris Holley0.0%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

28 of 30 games passed lineup acceptance (93%). 100% of accepted on-court possessions are bound to registered players.

  • 2 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 days10
3 or more days18

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.5
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