Algosys College Basketball

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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.

North Carolina

2026 · descriptive season · nil-value-v3 · Team results

Roster valuesβ

Roster values for North Carolina, 2026: 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
Henri Veesaar73.0%+8.9range +7.4 to +10.0Sufficient evidence+9.0range +8.2 to +9.5Sufficient evidenceLoadingLoading
Jarin Stevenson63.7%+3.0range +1.5 to +4.3Sufficient evidence+5.3range +4.5 to +6.0Sufficient evidenceLoadingLoading
Luka Bogavac61.4%+2.4range +1.1 to +3.8Sufficient evidence+4.9range +4.2 to +5.5Sufficient evidenceLoadingLoading
Caleb Wilson59.1%+4.7range +3.6 to +5.9Sufficient evidence+5.6range +5.0 to +6.1Sufficient evidenceLoadingLoading
Seth Trimble57.5%+0.6range -0.9 to +1.9Sufficient evidence+3.8range +3.2 to +4.3Sufficient evidenceLoadingLoading
Derek Dixon54.3%+0.8range -0.7 to +2.2Sufficient evidence+3.7range +3.1 to +4.3Sufficient evidenceLoadingLoading
Kyan Evans45.8%+3.0range +1.8 to +4.2Sufficient evidence+3.8range +3.3 to +4.2Sufficient evidenceLoadingLoading
Jonathan Powell39.1%+1.4range +0.2 to +2.5Sufficient evidence+2.8range +2.4 to +3.1Sufficient evidenceLoadingLoading
Zayden High19.9%-0.5range -2.1 to +1.0Sufficient evidence+1.1range +0.9 to +1.4Sufficient evidenceLoadingLoading
Jaydon Young17.0%-0.2range -1.5 to +1.1Sufficient evidence+1.0range +0.9 to +1.2Sufficient evidenceLoadingLoading
James Brown4.1%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
Isaiah Denis2.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
Elijah Davis0.8%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
John Holbrook0.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
Evan Smith0.6%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading
Ivan Matlekovic0.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidenceNot applicableLoadingLoading

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.

Team pool and per-player compensation · 2025–26β

Loading Speculative compensation

What-if calculator on the team page

School Finances · School-Reported (EADA)

Self-reported to the U.S. Department of Education. Expenses cover coaching, travel, aid and operations, not player pay.

Loading School finances

Coverage and exclusions

31 of 33 games passed lineup acceptance (94%). 100% of accepted on-court possessions are bound to registered players.

  • 2 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 (alternate pairing to repo season 2026; fiscal-year mapping unconfirmed) · self-reported by the school, no external review · EADA revenue is any money used to pay expenses

Reported revenue$39,742,088Reported by the school; not NIL pay and not a model output.
Reported expenses$16,738,604Reported by the school.

EADA link: matched by a manual override chosen by the model author. Its checks (IPEDS identity, state, home-venue city) confirm only that the pick is self-consistent. They are not independent proof that this school is the same program. If the match were wrong, these figures would belong to a different school.manual EADA match, not independently verified

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
2 days4
3 or more days28

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days1.4
Games with fewer rest days than the opponent1
Longest run of consecutive away games2

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