Algosys College Basketball

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Canisius

MAAC · 2025–26 · Raw net rank 338 · Raw net -14.1 · Tempo 64.3 · 30 Division I games · Through 2026-03-01

All seasons
Record
9–21
9 wins
AdjNet
-15.8β
rank 343 of 365
AdjO
97.1β
rank 353 of 365
AdjD
112.9β
rank 286 of 365
AdjT
65.5β
SOS
-4.6β
rank 312 of 363
NCSOS
-1.7β
WAB
-15.9β
rank 326 of 363
RR
1.0β
Exp. W
8.0β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.96.3351110.5229108.5
Four Factors
Effective FG%46.334852.222551.4
TO / 100 poss.19.634116.022216.7
Offensive rebound %29.322529.815130.6
FTA / FGA %31.427035.218335.0
Shooting
3P%33.321333.012433.9
2P%44.036054.328551.7
FT%71.921272.921172.5
Style
3PA / FGA %39.544.039.5
Assists / FGM %55.656.452.6
Blocks / opp. 2PA %8.59.79.5
Point Distribution
3-pointers %34.233.531.4
2-pointers %46.246.848.8
Free throws %19.619.719.8

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

Rotation Depth

Effective Rotation Size
8.5
Top Three Share of Minutes
50%
Bench Share of Minutes
29%
Players with Logged Minutes
16

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-03DaytonL 48–8863.3Away0–1
11-08St. BonaventureL 70–8963.8Away0–2
11-12MercyhurstW 58–5561.6Home1–2
11-17High PointL 50–9366.3Away1–3
11-21UMESW 60–5758.2Home2–3
11-23BinghamtonW 75–6661.6Home3–3
11-29BuffaloL 53–7164.4Home3–4
12-05Saint Peter'sL 57–6964.3Away3–5
12-07SienaL 52–7464.3Away3–6
12-13MaineW 70–4364.4Away4–6
12-16Rhode IslandL 45–6263.4Away4–7
12-22DuquesneL 59–10372.8Away4–8
01-02FairfieldW 85–8166.9Home5–8
01-04Sacred HeartW 82–7868.4Home6–8
01-09ManhattanW 70–6466.7Away7–8
01-11IonaL 48–7461.3Away7–9
01-14NiagaraL 54–5958.1Home7–10
01-17Mount St. Mary'sL 68–7867.2Home7–11
01-22Sacred HeartL 66–6969.0Away7–12
01-24FairfieldL 55–6161.2Away7–13
01-30MaristL 86–88 1OT73.8Home7–14
02-01SienaL 63–7859.6Home7–15
02-03NiagaraL 56–6557.5Away7–16
02-05QuinnipiacL 60–7573.3Away7–17
02-13IonaL 63–6964.3Home7–18
02-15ManhattanL 65–6964.8Home7–19
02-20RiderW 72–6667.5Away8–19
02-22Mount St. Mary'sL 47–6862.6Away8–20
02-27MerrimackW 67–6260.7Home9–20
03-01QuinnipiacL 63–6766.4Home9–21

Roster · 16 players

Player logs in 30 of 30 team games

Team roster, per 40 minutes
Column groupsMinutesPer 40 MinutesShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Kahlil Singleton2935:0584.4%15.73.51.10.30.10.62.043–9545.3%83–21638.4%65–7389.0%53.9%58.3%23.5%536:10 +1:0590.4%15.4 +1.6
Bryan Ndjonga3032:5181.8%16.87.02.20.60.82.83.1114–25045.6%31–9931.3%93–12375.6%46.0%51.3%35.2%534:07 +1:1685.3%15.0 +1.2
Mike Evbagharu2933:3380.7%10.98.33.71.30.12.82.592–18051.1%10–3429.4%†52–7866.7%50.0%53.6%36.4%536:29 +2:5791.2%13.4 +4.2
Myles Wilmoth3023:2958.5%9.17.82.40.71.62.33.932–9135.2%20–7028.6%36–5170.6%38.5%43.6%31.7%523:29 0:0058.7%2.6 −2.7
Javante Edwards2622:4849.2%11.93.23.41.20.13.83.430–7341.1%26–8132.1%38–5470.4%44.8%49.5%35.1%530:50 +8:0277.1%9.2 +2.4
Chris Kumu2512:2825.8%10.54.60.61.90.31.54.026–7435.1%†5–2222.7%†15–3050.0%34.9%†37.5%†31.3%†115:32 +3:047.8%9.0 +5.7
Max Jusianiec2611:1724.3%8.34.43.70.80.41.17.211–3135.5%†10–2245.5%†9–1181.8%†49.1%†52.7%†20.8%†312:47 +1:3019.2%2.3 0.0
Brendan Oliver2910:0224.2%13.17.10.80.70.01.84.324–5940.7%†9–3129.0%†20–2676.9%41.7%†46.8%†28.9%†57:03 −3:0017.6%0.4 −2.9
King Ijeoma269:0119.5%8.07.30.30.92.62.43.819–3652.8%†1–520.0%†6–1154.5%†50.0%†51.3%†26.8%†510:46 +1:4526.9%2.6 +0.8
Anthony Benard1514:4518.4%11.22.54.91.40.05.15.114–3342.4%†8–1650.0%†10–1566.7%†53.1%†55.8%†30.6%†————
Evan van der Plas237:0013.4%9.76.01.01.20.52.26.08–1553.3%†6–1735.3%†5–1533.3%†53.1%†50.5%†46.9%†58:55 +1:5522.3%1.0 −0.7
Marcus NiblackFew games722:1012.9%12.47.75.23.40.04.14.914–3540.0%†2–2010.0%†14–1782.4%†30.9%†38.4%†30.9%†————
Andreo AshFew gamesUnder 100 minutes82:592.0%10.06.71.71.71.71.76.73–475.0%†0–0—0–0—75.0%†75.0%†0.0%†21:09 −1:511.1%0.0 −0.8
Zach ChristianFew gamesUnder 100 minutes71:511.1%9.33.10.03.10.03.16.20–20.0%†1–250.0%†0–10.0%†37.5%†33.8%†25.0%†11:25 −0:260.7%0.0 −0.4
Nicco DiGiulioFew gamesUnder 100 minutes71:421.0%6.73.410.13.40.06.73.40–10.0%†0–20.0%†2–2100.0%†0.0%†25.8%†66.7%†11:25 −0:170.7%0.0 −0.3
Trevor AugustineFew gamesUnder 100 minutes71:401.0%13.73.40.00.00.03.40.00–0—1–1100.0%†1–250.0%†150.0%†106.4%†200.0%†11:12 −0:280.6%0.0 −0.6
Team, games with logs · per 40 team minutes30 games62.033.011.9not published2.612.6not published431–98044.0%213–64033.3%366–50971.9%46.3%50.6%31.4%
Sum of players61.929.511.94.82.611.817.4Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players+0.1+3.5+0.0not published0.0+0.8not published

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
$180K
80% Range $69K to $495K
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$170K to $210K
Scenario medians
Players with Figures
16
4 floor only

The widest scenario range, $80K to $575K, 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
Kahlil Singleton84.8%$40K$8K to $135K21.1%$37K to $47K$1KSufficient evidenceRange driven by assumption, not data
Bryan Ndjonga82.8%$6K$1K to $43K6.1%$6K to $7K$1KSufficient evidenceRange driven by assumption, not data
Mike Evbagharu81.2%$13K$1K to $60K11.5%$12K to $16K$1KSufficient evidenceRange driven by assumption, not data
Myles Wilmoth59.0%$24K$2K to $100K13.4%$23K to $28K$1KSufficient evidenceRange driven by assumption, not data
Javante Edwards49.1%$11K$1K to $46K8.4%$10K to $13K$1KSufficient evidenceRange driven by assumption, not data
Chris Kumu27.0%$3K$1K to $14K1.3%$3K in all four$1KSufficient evidenceRange driven by assumption, not data
Brendan Oliver23.8%$3K$1K to $13K1.7%$3K in all four$1KSufficient evidenceRange driven by assumption, not data
Max Jusianiec23.5%$7K$1K to $30K5.0%$7K to $8K$1KSufficient evidenceRange driven by assumption, not data
King Ijeoma19.8%$5K$1K to $18K3.7%$4K to $5K$1KSufficient evidenceRange driven by assumption, not data
Anthony Benard17.4%$2K$1K to $9K0.9%$2K to $3K$1KSufficient evidenceRange driven by assumption, not data
Marcus Niblack13.6%$14K$4K to $76K6.5%$13K to $17K$1KLimited evidenceRange driven by assumption, not data
Evan van der Plas13.2%$3K$1K to $10K1.9%$2K to $3K$1KLimited evidenceRange driven by assumption, not data
Andreo Ash2.0%$1K$0 to $3K0.6%$1K in all four$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Zach Christian1.0%$1K$0 to $3K0.6%$1K in all four$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Nicco DiGiulio0.9%$1K$0 to $3K0.6%$1K in all four$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Trevor Augustine0.8%$1K$0 to $3K0.6%$1K in all four$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$180K$69K to $495K100%$170K to $210K—

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, Canisius University (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$1,898,239Equals expenses (budget identity)
Men's basketball expenses$1,898,239
Athletics department expenses$13,567,033
Athletics department revenue$13,567,033

Team Totalsβ

Season per 40 minutes, 30 games, 1,938 possessions. Observed box-score sums, unadjusted. Per 40 uses 1205 game minutes, 5 per overtime period. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points62.071.1
Field goals made21.424.6
Field goals attempted53.854.6
3-pointers made7.17.9
3-pointers attempted21.224.0
Free throws made12.114.0
Free throws attempted16.919.2
Offensive rebounds10.19.7
Defensive rebounds22.824.4
Total rebounds33.034.1
Assists11.913.8
Blocks2.63.2
Turnovers12.610.3
StealsNo team figure. Players sum to 145.
Personal foulsNo team figure. Players sum to 524.
Minutes (derived)200.0not published

30 of 30 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

Player lines against team totals
StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled1,8671,865+2±9.30
Field goals madeReconciled644643+1±3.20
Field goals attemptedReconciled1,6201,617+3±8.10
3-pointers madeReconciled2132130±2.00
3-pointers attemptedReconciled640638+2±3.20
Free throws madeReconciled3663660±2.00
Free throws attemptedReconciled5095090±2.50
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown993888+105±79.40
AssistsReconciled358357+1±2.00
BlocksReconciled78780±2.00
TurnoversResidual shown380355+25±11.40
StealsNo team figurenot published145not publishednot publishednot published
Personal foulsNo team figurenot published524not publishednot publishednot published
Minutes (derived)Reconciled6,0256,001+23.9±120.50

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
Kahlil Singleton84.8%-0.0range -0.9 to +1.1Sufficient evidence
Bryan Ndjonga82.8%-2.6range -3.7 to -1.1Sufficient evidence
Mike Evbagharu81.2%-1.7range -2.8 to +0.0Sufficient evidence
Myles Wilmoth59.0%-0.3range -1.5 to +1.1Sufficient evidence
Javante Edwards49.1%-1.1range -2.4 to +0.3Sufficient evidence
Chris Kumu27.0%-2.8range -4.0 to -1.5Sufficient evidence
Brendan Oliver23.8%-2.7range -3.8 to -1.4Sufficient evidence
Max Jusianiec23.5%-0.8range -1.8 to +0.3Sufficient evidence
King Ijeoma19.8%-1.2range -1.9 to -0.3Sufficient evidence
Anthony Benard17.4%-3.3range -4.1 to -2.4Sufficient evidence
Marcus Niblack13.6%+1.3range +0.1 to +2.8Limited evidence
Evan van der Plas13.2%-1.9range -2.7 to -1.0Limited evidence
Andreo Ash2.0%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Zach Christian1.0%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Nicco DiGiulio0.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Trevor Augustine0.8%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
+8.1range +7.4 to +9.0Sufficient evidence

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

12 valued players hold 99.1% of on-court time. 4 without a value (under 300 possessions) hold 0.9%, counted at replacement level -9.5. Limited-evidence players hold 5.4%.

NIL Methodology · Scheduling and Model-Implied Value