Algosys College Basketball

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NJIT

AE · 2025–26 · Raw net rank 321 · Raw net -11.0 · Tempo 67.9 · 32 Division I games · Through 2026-03-10

All seasons
Record
15–17
15 wins
AdjNet
-13.5β
rank 331 of 365
AdjO
97.9β
rank 347 of 365
AdjD
111.4β
rank 260 of 365
AdjT
68.8β
SOS
-4.9β
rank 321 of 363
NCSOS
2.4β
WAB
-11.0β
rank 239 of 363
RR
4.0β
Exp. W
11.0β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.97.4343108.5180108.5
Four Factors
Effective FG%46.734350.09951.4
TO / 100 poss.17.121116.221016.7
Offensive rebound %26.231632.126430.6
FTA / FGA %33.223437.925935.0
Shooting
3P%30.433532.38033.9
2P%47.532451.114951.7
FT%70.525369.74272.5
Style
3PA / FGA %40.140.739.5
Assists / FGM %45.752.652.6
Blocks / opp. 2PA %9.09.29.5
Point Distribution
3-pointers %31.331.231.4
2-pointers %48.747.948.8
Free throws %20.020.919.8

Best · Median · Worst · Mark: further right is a better national rank, of 365 teams.

Rotation Depth

Effective Rotation Size
9.5
Top Three Share of Minutes
43%
Bench Share of Minutes
36%
Players with Logged Minutes
13

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-04FordhamW 72–6164.7Away1–0
11-08FairfieldL 53–7475.1Home1–1
11-11Loyola MarylandW 66–6467.9Away2–1
11-15FDUW 93–8177.0Home3–1
11-18DrexelL 43–7569.8Away3–2
11-22NavyL 70–8668.8Away3–3
11-24CincinnatiL 67–9476.0Away3–4
11-26LouisvilleL 47–10469.0Away3–5
11-28Eastern Mich.L 55–7366.5Away3–6
12-05High PointL 72–8973.8Away3–7
12-10New HavenW 70–6466.4Home4–7
12-13Sacred HeartL 49–6563.2Home4–8
12-22ButlerL 52–10172.7Away4–9
12-31PennL 61–8069.9Away4–10
01-03BinghamtonW 73–6562.4Away5–10
01-08New HampshireW 80–7671.6Home6–10
01-10MaineL 70–7464.4Home6–11
01-15UMass LowellW 73–6470.1Away7–11
01-19BryantW 79–5562.4Home8–11
01-22UMBCL 74–8770.1Away8–12
01-29UAlbanyW 77–6867.6Away9–12
01-31VermontW 79–7769.5Away10–12
02-05UMass LowellW 81–5668.2Home11–12
02-07BinghamtonW 73–6466.0Home12–12
02-12New HampshireW 76–7066.8Away13–12
02-14MaineW 67–5867.7Away14–12
02-19UAlbanyL 63–8159.6Home14–13
02-21VermontL 64–7063.5Home14–14
02-28BryantL 52–6964.3Away14–15
03-03UMBCL 52–9170.1Home14–16
03-07MaineW 60–5864.8Home15–16
03-10VermontL 54–6363.2Away15–17

Roster · 13 players

Player logs in 32 of 32 team games

MinutesSeason TotalsShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
David Bolden3230:0175.1%3838888590657343–13132.8%68–21331.9%93–11680.2%42.2%48.5%33.7%530:56 +0:5477.3%10.8 −1.2
Ari Fulton3228:3271.3%341203392018476287–16652.4%26–10425.0%89–11478.1%46.7%53.3%42.2%526:08 −2:2465.3%6.2 −4.5
Jordan Rogers3226:4466.8%183165692820507249–8756.3%20–6033.3%25–3767.6%53.7%56.0%25.2%523:56 −2:4859.8%3.2 −2.5
Sebastian Robinson2927:3062.3%42281623545859146–30647.7%12–4924.5%†94–13370.7%46.2%51.0%37.5%533:08 +5:3882.8%16.4 +1.8
Melvyn Ebonkoli2026:3841.6%15211312720346065–12651.6%0–0—22–4153.7%51.6%52.8%32.5%530:17 +3:4075.7%6.2 −1.4
John Kelly3215:2938.7%1418011123185429–6544.6%13–3735.1%†44–6468.8%47.5%54.2%62.7%515:14 −0:1538.1%3.0 −1.4
Quentin Duncan3213:3433.9%1405412116104217–4438.6%31–8038.8%13–2552.0%51.2%51.9%20.2%520:17 +6:4350.7%5.6 +1.2
Rocco Awad3212:4932.0%934110156203910–2638.5%21–8026.3%10–1376.9%†39.2%41.6%12.3%57:31 −5:1818.8%1.4 −1.5
Malachi Arrington2814:0730.9%1081021516187244–7360.3%†0–0—20–3754.1%60.3%†60.5%†50.7%†56:15 −7:5215.6%1.6 −2.3
Jeremy Clayville1519:2622.8%99222022211315–3938.5%22–7230.6%3–3100.0%†43.2%44.1%2.7%————
Zack Scherler186:218.9%17184055146–1154.5%†0–0—5–955.6%†54.5%†56.8%†81.8%†32:15 −4:063.4%0.7 −0.3
Jeffrey Akintolu185:117.3%14160603203–560.0%†2–1216.7%†2–450.0%†35.3%†37.3%†23.5%†33:09 −2:024.7%0.7 −0.1
Cameron Piggee174:516.4%245820441–520.0%†6–2030.0%†4–580.0%†40.0%†44.1%†20.0%†34:06 −0:456.2%2.0 +0.6
Team, games with logs · season totals32 games21171086336100371515–108447.5%221–72730.4%424–60170.5%46.7%51.0%33.2%
Sum of players2117988336202100353584Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0+9800+18

G: logged games. Team Min%: share of team minutes on court (40 per game plus overtime). 2P, 3P and FT show made–attempted. † Few attempts: under 100 FGA, 50 3PA or 25 FTA. Few G: under 10 games. <100 min: under 100 minutes. Last Five Team Games columns show change from the season value and hide on narrow screens.

Speculative Compensation · 2025–26β

Estimated share of the school's revenue-sharing budget for men's basketball. Not observed pay.

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
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
David Bolden76.0%$17K$1K to $70K11.8%$16K to $19K$2KSufficient evidenceRange driven by assumption, not data
Ari Fulton72.4%$33K$7K to $100K16.2%$31K to $37K$2KSufficient evidenceRange driven by assumption, not data
Jordan Rogers68.9%$20K$2K to $72K12.7%$19K to $22K$2KSufficient evidenceRange driven by assumption, not data
Sebastian Robinson59.1%$12K$1K to $51K8.9%$12K to $14K$2KSufficient evidenceRange driven by assumption, not data
Melvyn Ebonkoli40.0%$55K$14K to $245K22.1%$52K to $62K$2KSufficient evidenceRange driven by assumption, not data
John Kelly37.9%$4K$1K to $21K1.6%$4K to $5K$2KSufficient evidenceRange driven by assumption, not data
Quentin Duncan34.3%$8K$1K to $33K5.7%$8K to $9K$2KSufficient evidenceRange driven by assumption, not data
Rocco Awad32.9%$4K$1K to $18K1.6%$4K in all four$2KSufficient evidenceRange driven by assumption, not data
Malachi Arrington32.8%$6K$1K to $26K4.4%$6K to $7K$2KSufficient evidenceRange driven by assumption, not data
Jeremy Clayville25.0%$7K$1K to $24K4.4%$6K to $7K$2KSufficient evidenceRange driven by assumption, not data
Zack Scherler8.6%$5K$2K to $17K2.6%$5K to $6K$2KLimited evidenceRange driven by assumption, not data
Jeffrey Akintolu6.5%$2K$1K to $5K0.8%$2K in all four$2KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Cameron Piggee5.4%$2K$1K to $5K0.8%$2K in all four$2KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$215K$79K to $595K100%$205K to $240K—

What-If Calculator · Speculativeβ

Re-runs the 4,000 joint draws with your inputs. The address saves your inputs.

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)
MeasureSchool-Reported AmountNote
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

Team Totalsβ

Season totals, 32 games, 2,173 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points2,1172,357
Field goals made736810
Field goals attempted1,8111,864
3-pointers made221245
3-pointers attempted727758
Free throws made424492
Free throws attempted601706
Offensive rebounds302371
Defensive rebounds784849
Total rebounds1,0861,220
Assists336426
Blocks100100
Turnovers371352
StealsNo team figure. Players sum to 202.
Personal foulsNo team figure. Players sum to 584.
Minutes (derived)6,400

32 of 32 games have player logs. Residual is team total minus sum of players. Team rebounds and team turnovers have no player owner, so a residual is expected. Definitions

StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,1172,1170±10.60
Field goals madeReconciled7367360±3.70
Field goals attemptedReconciled1,8111,8110±9.10
3-pointers madeReconciled2212210±2.00
3-pointers attemptedReconciled7277270±3.60
Free throws madeReconciled4244240±2.10
Free throws attemptedReconciled6016010±3.00
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown1,086988+98±86.90
AssistsReconciled3363360±2.00
BlocksReconciled1001000±2.00
TurnoversResidual shown371353+18±11.10
StealsNo team figure202
Personal foulsNo team figure584
Minutes (derived)Reconciled6,4006,375+24.7±128.00

Model-Implied Player Valueβ

Ranges are the 10th to 90th percentile of whole-game resampling draws. They are not calibrated intervals.

Open circle: limited evidence. Filled circle: sufficient evidence. Line: zero. No graphic: insufficient evidence.

Net points per 100 possessions, in possession-share order.
PlayerPoss. ShareNet and RangeβRange Graphic
David Bolden76.0%-1.1range -2.3 to +0.2Sufficient evidence
Ari Fulton72.4%+0.1range -0.8 to +1.0Sufficient evidence
Jordan Rogers68.9%-0.5range -1.4 to +0.3Sufficient evidence
Sebastian Robinson59.1%-1.2range -2.1 to +0.1Sufficient evidence
Melvyn Ebonkoli40.0%+2.4range +1.2 to +3.9Sufficient evidence
John Kelly37.9%-3.0range -4.3 to -1.6Sufficient evidence
Quentin Duncan34.3%-1.1range -2.1 to +0.1Sufficient evidence
Rocco Awad32.9%-3.0range -4.3 to -1.5Sufficient evidence
Malachi Arrington32.8%-1.5range -2.5 to -0.4Sufficient evidence
Jeremy Clayville25.0%-0.9range -1.7 to -0.1Sufficient evidence
Zack Scherler8.6%+0.1range -0.6 to +0.9Limited evidence
Jeffrey Akintolu6.5%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Cameron Piggee5.4%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence

Team Aggregate of Player Values, 2026β

Summary of the player values below. Split role: descriptive: not used in fit or gates. Model nil-value-v3. Definitions · NIL Methodology

Average value over five on-court slots, net points per 100 possessions
+8.4range +7.7 to +9.4Sufficient evidence

200 joint draws. The range is the 10th to 90th percentile. Player ranges cannot be added.

11 valued players hold 97.6% of on-court time. 2 without a value (under 300 possessions) hold 2.4%, counted at replacement level -9.5. Limited-evidence players hold 1.7%.

NIL Methodology · Scheduling and Model-Implied Value