Algosys College Basketball

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Santa Clara

WCC · 2025–26 · Raw net rank 27 · Raw net 13.5 · Tempo 69.5 · 34 Division I games · Through 2026-03-20

All seasons
Record
25–9
25 wins
AdjNet
15.7β
rank 34 of 365
AdjO
120.0β
rank 24 of 365
AdjD
104.2β
rank 79 of 365
AdjT
69.8β
SOS
4.7β
rank 79 of 363
NCSOS
2.2β
WAB
2.1β
rank 36 of 363
RR
0.6β
Exp. W
24.4β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.118.925105.493108.5
Four Factors
Effective FG%54.45352.021351.4
TO / 100 poss.15.410019.92516.7
Offensive rebound %36.42032.126230.6
FTA / FGA %25.536338.226535.0
Shooting
3P%34.912533.112733.9
2P%56.14253.525551.7
FT%74.410873.525172.5
Style
3PA / FGA %45.038.439.5
Assists / FGM %55.060.452.6
Blocks / opp. 2PA %10.59.09.5
Point Distribution
3-pointers %36.828.831.4
2-pointers %48.349.948.8
Free throws %14.821.219.8

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

Rotation Depth

Effective Rotation Size
8.7
Top Three Share of Minutes
43%
Bench Share of Minutes
35%
Players with Logged Minutes
11

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-07McNeeseW 79–6767.4Home1–0
11-10XavierW 87–6871.6Away2–0
11-15NevadaW 98–8370.4Home3–0
11-18Idaho St.W 64–5564.0Home4–0
11-21LouisianaW 80–4366.5Home5–0
11-27Saint LouisL 70–7170.7Neutral5–1
11-28MinnesotaW 86–7566.5Neutral6–1
12-03Utah TechW 90–8076.5Home7–1
12-06New MexicoL 71–9871.6Away7–2
12-13Arizona St.L 79–8273.1Neutral7–3
12-17North TexasW 63–6067.5Neutral8–3
12-20Loyola ChicagoL 78–8067.7Neutral8–4
12-28Oregon St.W 102–6468.6Away9–4
12-30PortlandW 92–8571.3Away10–4
01-02PepperdineW 82–6374.6Home11–4
01-04San DiegoW 98–7074.5Home12–4
01-08GonzagaL 77–8973.3Away12–5
01-10LMU (CA)W 103–7276.7Home13–5
01-14PacificW 85–6965.6Home14–5
01-17Saint Mary's (CA)W 62–5467.0Home15–5
01-24San DiegoW 85–7374.6Away16–5
01-28San FranciscoW 88–7369.0Home17–5
01-31LMU (CA)W 104–7377.5Away18–5
02-04PacificW 71–5664.1Away19–5
02-07Washington St.W 96–9270.9Away20–5
02-11Seattle UW 84–7268.4Home21–5
02-14GonzagaL 86–9476.4Home21–6
02-21San FranciscoW 94–7374.7Away22–6
02-25Saint Mary's (CA)L 67–8665.4Away22–7
02-28Oregon St.W 93–7268.5Home23–7
03-08PacificW 76–6859.2Neutral24–7
03-09Saint Mary's (CA)W 76–7161.8Neutral25–7
03-10GonzagaL 68–7960.4Neutral25–8
03-20KentuckyL 84–89 1OT74.6—25–9

Roster · 11 players

Player logs in 34 of 34 team games

Team roster, per game
Column groupsMinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Elijah Mahi3430:2175.6%14.14.82.61.40.41.81.5124–24450.8%54–15634.6%69–9671.9%51.2%54.2%24.0%533:29 +3:0881.7%14.2 +0.1
Christian Hammond3330:2173.4%15.72.82.51.10.11.72.1139–26552.5%52–13139.7%85–10878.7%54.8%58.5%27.3%534:13 +3:5283.5%12.2 −3.5
Jake Ensminger3128:5765.8%6.45.52.80.90.20.92.538–5273.1%35–8541.2%16–2272.7%†66.1%67.2%16.1%530:36 +1:3974.7%7.8 +1.4
Allen Graves3422:3656.3%11.96.61.81.91.00.73.0105–18556.8%37–9140.7%84–11275.0%58.2%62.3%40.6%524:15 +1:3959.2%14.2 +2.3
Brenton Knapper3221:4951.2%7.51.82.21.30.01.21.356–11250.0%30–10528.6%38–4879.2%46.5%50.4%22.1%517:38 −4:1243.0%5.2 −2.3
Sash Gavalyugov3419:4949.4%9.01.92.70.50.01.41.947–9848.0%65–18036.1%18–2572.0%52.0%53.1%9.0%522:55 +3:0655.9%11.6 +2.6
Bukky Oboye3318:3044.7%8.14.30.60.71.20.83.6101–13177.1%8–3324.2%†42–6465.6%68.9%69.7%39.0%514:53 −3:3736.3%6.6 −1.5
Thierry Darlan3417:1943.1%5.93.30.90.50.61.42.425–5248.1%37–11133.3%39–4488.6%49.4%54.8%27.0%512:55 −4:2431.5%3.4 −2.5
KJ Cochran3411:3929.0%4.71.40.60.40.10.41.138–5667.9%23–8527.1%15–2365.2%†51.4%52.9%16.3%59:47 −1:5223.9%3.0 −1.7
Francis Chukwudebelu235:379.5%1.21.10.60.10.30.01.28–1747.1%†1–333.3%†8–1650.0%†47.5%†49.9%†80.0%†35:31 −0:068.1%1.0 −0.2
Brendan YarussoFew gamesUnder 100 minutes80:570.6%2.00.30.00.00.00.00.10–10.0%†4–1136.4%†4–4100.0%†50.0%†58.1%†33.3%†10:47 −0:100.4%3.0 +1.0
Team, games with logs · per game34 games82.935.416.6not published3.610.8not published681–121356.1%346–99134.9%418–56274.4%54.4%57.5%25.5%
Sum of players82.932.316.68.73.610.219.7Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.10.0not published0.0+0.6not 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
$840K
80% Range $365K to $1.90M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$825K to $860K
Scenario medians
Players with Figures
11
1 floor only
Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Elijah Mahi76.5%$150K$60K to $370K17.5%$145K to $155K$7KSufficient evidenceRange driven by assumption, not data
Christian Hammond74.3%$110K$42K to $260K13.9%$110K to $115K$7KSufficient evidenceRange driven by assumption, not data
Jake Ensminger65.1%$170K$70K to $425K19.4%$170K to $175K$7KSufficient evidenceRange driven by assumption, not data
Allen Graves55.9%$120K$49K to $280K13.6%$115K to $120K$7KSufficient evidence
Brenton Knapper53.6%$70K$24K to $170K9.3%$69K to $72K$7KSufficient evidenceRange driven by assumption, not data
Sash Gavalyugov47.9%$44K$11K to $125K6.3%$43K to $45K$7KSufficient evidenceRange driven by assumption, not data
Bukky Oboye46.3%$47K$14K to $120K6.5%$46K to $48K$7KSufficient evidenceRange driven by assumption, not data
Thierry Darlan42.7%$42K$12K to $115K6.0%$42K to $44K$7KSufficient evidenceRange driven by assumption, not data
KJ Cochran27.9%$18K$5K to $57K2.5%$18K to $19K$7KSufficient evidenceRange driven by assumption, not data
Francis Chukwudebelu9.4%$18K$7K to $41K2.2%$18K in all four$7KLimited evidence
Brendan Yarusso0.5%$7K$3K to $18K0.9%$7K in all four$7KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$840K$365K to $1.90M100%$825K to $860K—

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, Santa Clara University (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$5,977,436Equals expenses (budget identity)
Men's basketball expenses$5,977,436
Athletics department expenses$43,090,786
Athletics department revenue$43,090,786

Team Totalsβ

Season per game, 34 games, 2,370 possessions. Observed box-score sums, unadjusted. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points82.973.5
Field goals made30.225.4
Field goals attempted64.855.6
3-pointers made10.27.1
3-pointers attempted29.121.4
Free throws made12.315.6
Free throws attempted16.521.2
Offensive rebounds13.010.6
Defensive rebounds22.422.8
Total rebounds35.433.4
Assists16.615.4
Blocks3.63.2
Turnovers10.813.9
StealsNo team figure. Players sum to 297.
Personal foulsNo team figure. Players sum to 670.
Minutes (derived)200.7not published

34 of 34 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
PointsReconciled2,8182,8180±14.10
Field goals madeReconciled1,0271,0270±5.10
Field goals attemptedReconciled2,2042,2040±11.00
3-pointers madeReconciled3463460±2.00
3-pointers attemptedReconciled9919910±5.00
Free throws madeReconciled4184180±2.10
Free throws attemptedReconciled5625620±2.80
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown1,2051,098+107±96.40
AssistsReconciled5655650±2.80
BlocksReconciled1221220±2.00
TurnoversResidual shown366347+19±11.00
StealsNo team figurenot published297not publishednot publishednot published
Personal foulsNo team figurenot published670not publishednot publishednot published
Minutes (derived)Reconciled6,8256,804+20.7±136.50

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
Elijah Mahi76.5%+3.9range +2.3 to +5.4Sufficient evidence
Christian Hammond74.3%+2.6range +1.6 to +3.8Sufficient evidence
Jake Ensminger65.1%+5.1range +4.0 to +6.2Sufficient evidence
Allen Graves55.9%+3.9range +2.9 to +5.0Sufficient evidence
Brenton Knapper53.6%+2.2range +1.1 to +3.0Sufficient evidence
Sash Gavalyugov47.9%+0.7range -0.6 to +2.4Sufficient evidence
Bukky Oboye46.3%+1.2range +0.3 to +2.1Sufficient evidence
Thierry Darlan42.7%+0.9range -0.2 to +2.5Sufficient evidence
KJ Cochran27.9%-0.8range -1.9 to +0.5Sufficient evidence
Francis Chukwudebelu9.4%+1.9range +1.1 to +2.6Limited evidence
Brendan Yarusso0.5%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
+12.0range +11.2 to +12.9Sufficient evidence

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

10 valued players hold 99.9% of on-court time. 1 without a value (under 300 possessions) holds 0.1%, counted at replacement level -9.5. Limited-evidence players hold 1.9%.

NIL Methodology · Scheduling and Model-Implied Value