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.

Cornell

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

Roster valuesβ

Roster values for Cornell, 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
Cooper Noard71.9%+1.9range +0.7 to +3.3Sufficient evidence+4.2range +3.5 to +5.0Sufficient evidenceNone: no budget that season—
Nazir Williams70.7%+2.4range +1.3 to +3.4Sufficient evidence+4.3range +3.7 to +4.9Sufficient evidenceNone: no budget that season—
AK Okereke66.3%+2.9range +1.7 to +4.3Sufficient evidence+4.3range +3.7 to +5.0Sufficient evidenceNone: no budget that season—
Jake Fiegen65.9%+1.7range +0.5 to +3.1Sufficient evidence+3.7range +3.1 to +4.5Sufficient evidenceNone: no budget that season—
Guy Ragland Jr.60.4%+3.0range +2.0 to +4.2Sufficient evidence+3.9range +3.5 to +4.5Sufficient evidenceNone: no budget that season—
Jacob Beccles41.5%+0.2range -0.9 to +1.5Sufficient evidence+1.9range +1.5 to +2.3Sufficient evidenceNone: no budget that season—
Ryan Kiachian29.1%+0.0range -0.9 to +1.4Sufficient evidence+1.3range +1.1 to +1.6Sufficient evidenceNone: no budget that season—
DJ Nix27.6%-0.9range -1.9 to +0.3Sufficient evidence+1.1range +0.9 to +1.3Sufficient evidenceNone: no budget that season—
Adam Hinton26.3%-0.0range -1.0 to +1.1Sufficient evidence+1.2range +1.0 to +1.4Sufficient evidenceNone: no budget that season—
Anthony Nimani14.2%+0.8range -0.0 to +1.7Limited evidence+0.7range +0.6 to +0.8Limited evidenceNone: no budget that season—
Chris Cain10.1%+0.6range +0.0 to +1.1Limited evidence+0.5range +0.4 to +0.5Limited evidenceNone: no budget that season—
Gioacchino Panzini6.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Corbin Zentner3.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Josh Baldwin3.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
AJ Rodriguez1.0%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Mateen Rafiq1.0%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
AJ LaBeau0.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableNone: no budget that season—
Ian Imegwu0.1%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

24 of 27 games passed lineup acceptance (89%). 100% of accepted on-court possessions are bound to registered players.

  • 3 of 27 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 expenses

Reported revenue$1,608,946Reported by the school; not NIL pay and not a model output.
Reported expenses$1,523,103Reported 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 day4
2 days4
3 or more days18

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.1
Games with fewer rest days than the opponent2
Longest run of consecutive away games5

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