NJIT

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

Roster valuesβ

Roster values for NJIT, 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.
Player	Possession share	Net and range	Wins above replacement and range	Speculative compensation (best guess)	Compensation 80% range
David Bolden	76.0%	-1.1range -2.3 to +0.2Sufficient evidence	+3.7range +3.1 to +4.3Sufficient evidence	$17KspeculativeLoading	$1K to $70KLoading
Ari Fulton	72.4%	+0.1range -0.8 to +1.0Sufficient evidence	+4.0range +3.6 to +4.4Sufficient evidence	$33KspeculativeLoading	$7K to $100KLoading
Jordan Rogers	68.9%	-0.5range -1.4 to +0.3Sufficient evidence	+3.6range +3.2 to +4.0Sufficient evidence	$20KspeculativeLoading	$2K to $72KLoading
Sebastian Robinson	59.1%	-1.2range -2.1 to +0.1Sufficient evidence	+2.9range +2.6 to +3.4Sufficient evidence	$12KspeculativeLoading	$1K to $51KLoading
Melvyn Ebonkoli	40.0%	+2.4range +1.2 to +3.9Sufficient evidence	+2.8range +2.6 to +3.2Sufficient evidence	$55KspeculativeLoading	$14K to $245KLoading
John Kelly	37.9%	-3.0range -4.3 to -1.6Sufficient evidence	+1.5range +1.2 to +1.9Sufficient evidence	$4KspeculativeLoading	$1K to $21KLoading
Quentin Duncan	34.3%	-1.1range -2.1 to +0.1Sufficient evidence	+1.8range +1.5 to +2.1Sufficient evidence	$8KspeculativeLoading	$1K to $33KLoading
Rocco Awad	32.9%	-3.0range -4.3 to -1.5Sufficient evidence	+1.3range +0.9 to +1.6Sufficient evidence	$4KspeculativeLoading	$1K to $18KLoading
Malachi Arrington	32.8%	-1.5range -2.5 to -0.4Sufficient evidence	+1.6range +1.3 to +1.8Sufficient evidence	$6KspeculativeLoading	$1K to $26KLoading
Jeremy Clayville	25.0%	-0.9range -1.7 to -0.1Sufficient evidence	+1.3range +1.2 to +1.5Sufficient evidence	$7KspeculativeLoading	$1K to $24KLoading
Zack Scherler	8.6%	+0.1range -0.6 to +0.9Limited evidence	+0.5range +0.5 to +0.6Limited evidence	$5KspeculativeLoading	$2K to $17KLoading
Jeffrey Akintolu	6.5%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence	Not applicable	$2Kspeculative, floor onlyLoading	$1K to $5KLoading
Cameron Piggee	5.4%	Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence	Not applicable	$2Kspeculative, floor onlyLoading	$1K to $5KLoading

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

Team Pool: $215K; 80% Range $79K to $595K
Tier: Low and other; low evidence
Team Pool, Scenarios Z1 to Z4: $205K to $240K; Scenario medians
Players with Figures: 13; 2 floor only

The widest scenario range, $90K to $670K, is wider than the 80% Range above (soft check S5). Methodology

Players in possession-share order
Player	Poss. Share	Speculative Best Guess	80% Range	Median % of Team Pool	Scenarios Z1 to Z4	Floor Part	Evidence and Flags
David Bolden	76.0%	$17K	$1K to $70K	11.8%	$16K to $19K	$2K	Sufficient evidenceRange driven by assumption, not data
Ari Fulton	72.4%	$33K	$7K to $100K	16.2%	$31K to $37K	$2K	Sufficient evidenceRange driven by assumption, not data
Jordan Rogers	68.9%	$20K	$2K to $72K	12.7%	$19K to $22K	$2K	Sufficient evidenceRange driven by assumption, not data
Sebastian Robinson	59.1%	$12K	$1K to $51K	8.9%	$12K to $14K	$2K	Sufficient evidenceRange driven by assumption, not data
Melvyn Ebonkoli	40.0%	$55K	$14K to $245K	22.1%	$52K to $62K	$2K	Sufficient evidenceRange driven by assumption, not data
John Kelly	37.9%	$4K	$1K to $21K	1.6%	$4K to $5K	$2K	Sufficient evidenceRange driven by assumption, not data
Quentin Duncan	34.3%	$8K	$1K to $33K	5.7%	$8K to $9K	$2K	Sufficient evidenceRange driven by assumption, not data
Rocco Awad	32.9%	$4K	$1K to $18K	1.6%	$4K in all four	$2K	Sufficient evidenceRange driven by assumption, not data
Malachi Arrington	32.8%	$6K	$1K to $26K	4.4%	$6K to $7K	$2K	Sufficient evidenceRange driven by assumption, not data
Jeremy Clayville	25.0%	$7K	$1K to $24K	4.4%	$6K to $7K	$2K	Sufficient evidenceRange driven by assumption, not data
Zack Scherler	8.6%	$5K	$2K to $17K	2.6%	$5K to $6K	$2K	Limited evidenceRange driven by assumption, not data
Jeffrey Akintolu	6.5%	$2K	$1K to $5K	0.8%	$2K in all four	$2K	Floor only: below 300 possessions, no value estimateRange driven by assumption, not data
Cameron Piggee	5.4%	$2K	$1K to $5K	0.8%	$2K in all four	$2K	Floor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool	—	$215K	$79K to $595K	100%	$205K to $240K	—

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.

School-reported finances, 2024-25, New Jersey Institute of Technology (NCAA Division I without football)
Measure	School-Reported Amount	Note
Men's basketball revenue	$2,599,758
Men's basketball expenses	$2,562,747
Athletics department expenses	$19,496,245
Athletics department revenue	$19,922,675

Coverage and exclusions

29 of 32 games passed lineup acceptance (91%). 100% of accepted on-court possessions are bound to registered players.

3 of 32 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	$2,599,758	Reported by the school; not NIL pay and not a model output.
Reported expenses	$2,562,747	Reported by the school.

EADA link: matched through an NCES IPEDS institution alias, with state and home-venue city agreeing.

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 days	Games
First game (no rest value)	1
2 days	8
3 or more days	23

Rest is capped at three days. Descriptive count.

Load summary

Mean games in prior 7 days	1.5
Games with fewer rest days than the opponent	1
Longest run of consecutive away games	6

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