Algosys College Basketball

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Niagara

MAAC · 2025–26 · Raw net rank 334 · Raw net -13.3 · Tempo 63.1 · 29 Division I games · Through 2026-03-01

All seasons
Record
7–22
7 wins
AdjNet
-14.5β
rank 336 of 365
AdjO
100.5β
rank 328 of 365
AdjD
115.0β
rank 323 of 365
AdjT
64.0β
SOS
-4.2β
rank 297 of 363
NCSOS
0.2β
WAB
-16.9β
rank 343 of 363
RR
-1.5β
Exp. W
8.5β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.99.9328113.2293108.5
Four Factors
Effective FG%50.521452.826051.4
TO / 100 poss.18.931916.617916.7
Offensive rebound %24.834432.929830.6
FTA / FGA %26.635333.814435.0
Shooting
3P%33.718835.326733.9
2P%50.523752.722351.7
FT%72.220477.836272.5
Style
3PA / FGA %40.540.439.5
Assists / FGM %60.052.552.6
Blocks / opp. 2PA %8.89.89.5
Point Distribution
3-pointers %34.032.531.4
2-pointers %50.047.648.8
Free throws %16.019.919.8

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

Rotation Depth

Effective Rotation Size
10.1
Top Three Share of Minutes
37%
Bench Share of Minutes
43%
Players with Logged Minutes
13

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-03DuquesneL 63–8371.0Away0–1
11-08BinghamtonW 67–5963.8Away1–1
11-10Delaware St.W 68–5759.7Home2–1
11-17Le MoyneL 68–7467.1Away2–2
11-21DukeL 42–10064.8Away2–3
11-22HowardL 70–8075.6Neutral2–4
11-29Detroit MercyL 66–7065.5Home2–5
12-05SienaL 54–8365.4Away2–6
12-07Saint Peter'sL 43–7160.6Away2–7
12-13Morgan St.L 73–8167.0Away2–8
12-15VCUL 58–8462.9Away2–9
01-02Sacred HeartW 64–6158.1Home3–9
01-04FairfieldL 75–8360.4Home3–10
01-09IonaL 53–7160.7Away3–11
01-11ManhattanL 70–7960.2Away3–12
01-14CanisiusW 59–5458.1Away4–12
01-19Mount St. Mary'sL 58–6861.0Home4–13
01-22FairfieldL 61–6265.0Away4–14
01-24Sacred HeartL 70–7166.0Away4–15
01-30SienaL 79–8263.0Home4–16
02-01MaristL 46–5861.2Home4–17
02-03CanisiusW 65–5657.5Home5–17
02-07QuinnipiacL 55–5659.2Away5–18
02-13ManhattanL 69–7663.4Home5–19
02-15IonaW 70–6856.1Home6–19
02-20Mount St. Mary'sL 63–7669.9Away6–20
02-22RiderL 62–6764.9Away6–21
02-27QuinnipiacW 78–76 1OT68.6Home7–21
03-01MerrimackL 66–7360.6Home7–22

Roster · 13 players

Player logs in 29 of 29 team games

MinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Reggie Prudhomme2926:4366.5%6.22.42.60.90.01.32.131–6746.3%35–10134.7%14–2166.7%†49.7%51.1%12.5%522:45 −3:5755.5%5.2 −1.0
Justin Hawkins2926:0064.7%8.03.32.30.70.31.52.372–15845.6%13–3735.1%†49–7367.1%46.9%51.1%37.4%524:59 −1:0160.9%7.8 −0.2
Justin Page2030:0051.5%12.32.12.50.60.21.61.663–12550.4%28–9031.1%35–4479.5%48.8%52.3%20.5%————
Vice Zanki2821:2051.3%8.12.40.80.60.30.81.443–7358.9%42–10838.9%16–1984.2%†58.6%60.2%10.5%527:27 +6:0766.9%11.0 +2.9
Josiah Sabino2820:5050.1%7.14.60.90.80.51.32.156–10155.4%12–4924.5%†50–5590.9%49.3%56.8%36.7%522:54 +2:0355.8%8.4 +1.3
Will Shortt2919:5349.5%6.64.40.70.20.90.91.888–14461.1%0–20.0%†16–3743.2%60.3%59.2%25.3%522:10 +2:1754.1%10.0 +3.4
Trenton Walters2522:2448.1%7.21.62.70.70.11.51.720–7327.4%28–7935.4%56–6981.2%40.8%49.4%45.4%524:50 +2:2660.6%4.8 −2.4
Landon Williams2620:1445.2%4.82.30.80.60.31.01.121–4151.2%26–7037.1%6–875.0%†54.1%55.0%7.2%517:22 −2:5242.4%4.2 −0.6
Brian Griffith2413:1227.2%4.91.01.30.50.01.30.826–6738.8%11–4126.8%†33–4278.6%39.4%46.6%38.9%518:04 +4:5344.1%7.0 +2.1
Kabeya Tshibangu2310:4321.1%2.31.70.30.20.50.31.025–3767.6%†0–0—3–1127.3%†67.6%†63.3%†29.7%†48:55 −1:4817.4%3.8 +1.4
Drew Larson2110:1318.4%2.92.20.60.30.00.31.012–2060.0%†9–2832.1%†10–1952.6%†53.1%†54.1%†39.6%†512:47 +2:3431.2%5.2 +2.3
Gael Dalmau Torresola76:464.1%2.00.60.10.10.10.40.31–250.0%†4–1330.8%†0–0—46.7%†46.7%†0.0%†37:15 +0:2910.6%2.0 0.0
AJ McBride53:091.4%1.40.60.00.20.00.40.21–1100.0%†0–0—5–862.5%†100.0%†77.4%†800.0%†————
Team, games with logs · per game29 games63.328.913.82.912.0459–90950.5%208–61833.7%293–40672.2%50.5%53.8%26.6%
Sum of players63.325.813.85.62.810.715.4Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.10.0+0.0+1.3

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
$195K
80% Range $72K to $545K
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$180K to $250K
Scenario medians
Players with Figures
13
2 floor only

The widest scenario range, $92K to $665K, 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
Reggie Prudhomme67.3%$16K$1K to $66K11.8%$15K to $20K$1KSufficient evidenceRange driven by assumption, not data
Justin Hawkins65.4%$20K$1K to $82K12.5%$18K to $25K$1KSufficient evidenceRange driven by assumption, not data
Justin Page54.0%$5K$1K to $33K3.8%$5K to $7K$1KSufficient evidenceRange driven by assumption, not data
Vice Zanki50.9%$11K$1K to $52K8.3%$10K to $14K$1KSufficient evidenceRange driven by assumption, not data
Josiah Sabino50.0%$18K$1K to $79K10.2%$16K to $22K$1KSufficient evidenceRange driven by assumption, not data
Will Shortt49.6%$13K$1K to $52K9.0%$12K to $16K$1KSufficient evidenceRange driven by assumption, not data
Trenton Walters47.3%$15K$1K to $66K9.2%$13K to $19K$1KSufficient evidenceRange driven by assumption, not data
Landon Williams44.3%$12K$1K to $58K8.0%$11K to $15K$1KSufficient evidenceRange driven by assumption, not data
Brian Griffith27.6%$5K$1K to $23K4.2%$5K to $7K$1KSufficient evidenceRange driven by assumption, not data
Kabeya Tshibangu21.1%$11K$2K to $51K5.4%$10K to $14K$1KSufficient evidenceRange driven by assumption, not data
Drew Larson17.8%$10K$2K to $49K4.8%$9K to $13K$1KSufficient evidenceRange driven by assumption, not data
Gael Dalmau Torresola3.3%$1K$0 to $4K0.8%$1K to $2K$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
AJ McBride1.4%$1K$0 to $4K0.8%$1K to $2K$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$195K$72K to $545K100%$180K to $250K—

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, Niagara University (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$2,741,726Equals expenses (budget identity)
Men's basketball expenses$2,741,726
Athletics department expenses$15,430,535
Athletics department revenue$15,430,535

Team Totalsβ

Season per game, 29 games, 1,837 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points63.371.7
Field goals made23.024.8
Field goals attempted52.754.3
3-pointers made7.27.8
3-pointers attempted21.322.0
Free throws made10.114.3
Free throws attempted14.018.3
Offensive rebounds7.810.4
Defensive rebounds21.123.7
Total rebounds28.934.1
Assists13.813.0
Blocks2.93.1
Turnovers12.010.5
StealsNo team figure. Players sum to 162.
Personal foulsNo team figure. Players sum to 446.
Minutes (derived)200.9

29 of 29 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
PointsReconciled1,8351,8350±9.20
Field goals madeReconciled6676670±3.30
Field goals attemptedReconciled1,5271,5270±7.60
3-pointers madeReconciled2082080±2.00
3-pointers attemptedReconciled6186180±3.10
Free throws madeReconciled2932930±2.00
Free throws attemptedReconciled4064060±2.00
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown839748+91±67.10
AssistsReconciled4004000±2.00
BlocksReconciled8382+1±2.00
TurnoversResidual shown348310+38±10.40
StealsNo team figure162
Personal foulsNo team figure446
Minutes (derived)Reconciled5,8255,813+12.1±116.50

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
Reggie Prudhomme67.3%-1.2range -2.2 to -0.1Sufficient evidence
Justin Hawkins65.4%-0.9range -2.2 to +0.2Sufficient evidence
Justin Page54.0%-2.8range -4.3 to -1.1Sufficient evidence
Vice Zanki50.9%-1.4range -2.6 to -0.3Sufficient evidence
Josiah Sabino50.0%-0.8range -1.9 to +0.5Sufficient evidence
Will Shortt49.6%-1.1range -2.1 to -0.0Sufficient evidence
Trenton Walters47.3%-0.9range -2.4 to +0.3Sufficient evidence
Landon Williams44.3%-1.2range -2.7 to +0.5Sufficient evidence
Brian Griffith27.6%-1.6range -2.3 to -0.8Sufficient evidence
Kabeya Tshibangu21.1%-0.2range -1.3 to +0.8Sufficient evidence
Drew Larson17.8%-0.3range -1.4 to +1.0Sufficient evidence
Gael Dalmau Torresola3.3%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
AJ McBride1.4%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
+8.2range +7.3 to +9.1Sufficient evidence

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

11 valued players hold 99.0% of on-court time. 2 without a value (under 300 possessions) hold 1.0%, counted at replacement level -9.5. Limited-evidence players hold 0.0%.

NIL Methodology · Scheduling and Model-Implied Value