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.

Old Dominion

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

Roster valuesβ

Roster values for Old Dominion, 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
Robert Davis Jr.86.2%-0.6range -1.7 to +0.4Sufficient evidence+3.6range +3.1 to +4.4Sufficient evidenceNone: no budget that season—
Jaden Johnson83.3%-1.2range -2.2 to -0.0Sufficient evidence+3.2range +2.6 to +3.9Sufficient evidenceNone: no budget that season—
Sean Durugordon81.2%+0.2range -0.8 to +1.3Sufficient evidence+3.8range +3.2 to +4.4Sufficient evidenceNone: no budget that season—
R.J. Blakney54.5%-1.3range -2.8 to -0.1Sufficient evidence+2.1range +1.6 to +2.7Sufficient evidenceNone: no budget that season—
Caelum Swanton-Rodger52.2%-1.9range -3.2 to -0.7Sufficient evidence+1.8range +1.4 to +2.3Sufficient evidenceNone: no budget that season—
Stephaun Walker41.8%-1.8range -2.9 to -0.9Sufficient evidence+1.5range +1.2 to +1.9Sufficient evidenceNone: no budget that season—
Caden Diggs26.7%-1.9range -3.1 to -0.9Sufficient evidence+1.0range +0.7 to +1.2Sufficient evidenceNone: no budget that season—
Devin Ceaser19.5%-2.3range -3.4 to -1.2Sufficient evidence+0.7range +0.5 to +0.8Sufficient evidenceNone: no budget that season—
Dani Pounds18.3%-0.6range -2.0 to +1.1Sufficient evidence+0.8range +0.7 to +1.0Sufficient evidenceNone: no budget that season—
Scottie Hubbard12.1%+0.3range -0.5 to +1.1Limited evidence+0.6range +0.5 to +0.7Limited evidenceNone: no budget that season—
Donovan Raymond9.6%+1.0range +0.1 to +1.9Limited evidence+0.5range +0.5 to +0.6Limited evidenceNone: no budget that season—
Vytautas Zygas9.0%-3.1range -4.4 to -1.9Limited evidence+0.2range +0.2 to +0.3Limited evidenceNone: no budget that season—
Ben Nacey3.2%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Rieco Hellams0.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Cooper Jones0.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Jaylen Jenkins0.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
CJ Parker0.1%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Imo Essien0.1%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 33 games passed lineup acceptance (85%). 100% of accepted on-court possessions are bound to registered players.

  • 5 of 33 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$4,218,097Reported by the school; not NIL pay and not a model output.
Reported expenses$4,218,097Reported 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 day5
2 days5
3 or more days22

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.6
Games with fewer rest days than the opponent3
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