Algosys College Basketball

Search teams and players

Type a team or player name. Results are alphabetical; players show their 2026 team. Up and Down move, Enter opens the highlighted result or the first one, Esc closes.

Denver

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

Roster valuesβ

Roster values for Denver, 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
Tevin Smith85.7%-0.6range -1.1 to -0.1Sufficient evidence+3.4range +2.8 to +4.0Sufficient evidenceNone: no budget that season—
Tommy Bruner81.8%-0.0range -0.6 to +0.5Sufficient evidence+3.5range +3.0 to +4.1Sufficient evidenceNone: no budget that season—
Touko Tainamo69.8%-0.3range -0.9 to +0.5Limited evidence+2.9range +2.4 to +3.5Limited evidenceNone: no budget that season—
Justin Mullins64.5%+0.1range -0.7 to +0.9Limited evidence+2.9range +2.4 to +3.4Limited evidenceNone: no budget that season—
Lukas Kisunas62.8%-0.2range -0.8 to +0.4Limited evidence+2.7range +2.3 to +3.1Limited evidenceNone: no budget that season—
Marko Lukic57.2%+0.6range -0.1 to +1.3Limited evidence+2.7range +2.4 to +3.2Limited evidenceNone: no budget that season—
Pedro Lopez Sanvicente24.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
James Sanders19.7%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Tyree Corbett17.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Javonni Bickham14.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Korey Hess1.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Carlos Fuentes0.4%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

6 of 30 games passed lineup acceptance (20%). 100% of accepted on-court possessions are bound to registered players.

  • 24 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 day2
2 days9
3 or more days18

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.6
Games with fewer rest days than the opponent1
Longest run of consecutive away games4

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