Algosys College Basketball

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San Francisco

WCC · 2025–26 · Raw net rank 164 · Raw net 1.0 · Tempo 66.8 · 31 Division I games · Through 2026-03-08

All seasons
Record
16–15
16 wins
AdjNet
2.7β
rank 135 of 365
AdjO
111.2β
rank 112 of 365
AdjD
108.6β
rank 188 of 365
AdjT
67.1β
SOS
1.9β
rank 112 of 363
NCSOS
-2.4β
WAB
-6.3β
rank 136 of 363
RR
-0.2β
Exp. W
16.2β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.110.2130109.2201108.5
Four Factors
Effective FG%51.417750.713951.4
TO / 100 poss.15.610814.432616.7
Offensive rebound %31.116028.910130.6
FTA / FGA %39.86229.65135.0
Shooting
3P%34.713333.716933.9
2P%50.821750.712551.7
FT%70.625274.227672.5
Style
3PA / FGA %46.136.239.5
Assists / FGM %55.252.252.6
Blocks / opp. 2PA %7.78.89.5
Point Distribution
3-pointers %36.629.731.4
2-pointers %41.952.548.8
Free throws %21.517.819.8

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

Rotation Depth

Effective Rotation Size
9.0
Top Three Share of Minutes
42%
Bench Share of Minutes
37%
Players with Logged Minutes
13

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-08MemphisL 70–7674.1Away0–1
11-12Portland St.W 80–7068.5Home1–1
11-15BradleyW 75–6467.9Home2–1
11-18Northwestern St.W 84–6462.0Home3–1
11-22MinnesotaW 77–6563.1Neutral4–1
11-27ColoradoL 69–7968.5Neutral4–2
12-03North Ala.L 63–6564.8Home4–3
12-07Mississippi St.W 65–6261.8Neutral5–3
12-13Saint LouisL 75–8570.4Away5–4
12-17Loyola ChicagoW 85–7160.5Neutral6–4
12-21Morgan St.W 94–6468.7Home7–4
12-28Seattle UW 67–5970.5Away8–4
12-30Oregon St.L 62–7063.0Away8–5
01-02San DiegoW 74–6471.4Home9–5
01-04PortlandW 73–6867.6Home10–5
01-08LMU (CA)L 82–84 2OT80.1Away10–6
01-10PepperdineW 80–6066.3Away11–6
01-13Saint Mary's (CA)L 68–8267.0Home11–7
01-18Washington St.W 85–8064.5Home12–7
01-24GonzagaL 66–6867.8Away12–8
01-28Santa ClaraL 73–8869.0Away12–9
01-31PacificW 87–8267.7Home13–9
02-04LMU (CA)L 75–8469.0Home13–10
02-07Saint Mary's (CA)L 54–7964.2Away13–11
02-12Oregon St.L 63–9060.7Home13–12
02-15San DiegoW 92–7969.1Away14–12
02-18GonzagaL 59–8067.1Home14–13
02-21Santa ClaraL 73–9474.7Home14–14
02-28PacificW 72–6164.5Away15–14
03-07PortlandW 82–6567.0Neutral16–14
03-08Oregon St.L 77–7866.0Neutral16–15

Roster · 13 players

Player logs in 31 of 31 team games

Team roster, season totals
Column groupsMinutesSeason TotalsShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Ryan Beasley2934:1479.4%414103119354486178–16447.6%49–14434.0%111–13482.8%49.2%56.4%43.5%534:09 −0:0585.4%12.4 −1.9
Tyrone Riley IV2932:3975.8%361145383014275595–17753.7%40–10936.7%51–7369.9%54.2%56.7%25.5%536:04 +3:2590.2%16.4 +4.0
David Fuchs2724:3553.1%347210411395051104–18855.3%10–3330.3%†109–17263.4%53.8%58.5%77.8%428:36 +4:0157.2%18.0 +5.1
Vukasin Masic3121:2453.1%165495762322731–5754.4%29–10328.2%16–2369.6%†46.6%48.5%14.4%516:01 −5:2340.0%2.4 −2.9
Legend Smiley3121:2453.1%2485819154246029–5750.9%52–12441.9%34–3987.2%59.1%62.6%21.5%528:58 +7:3472.4%10.0 +2.0
Junjie Wang3120:2950.8%2619223169336247–9251.1%36–10434.6%59–7974.7%51.5%56.6%40.3%522:30 +2:0156.2%8.2 −0.2
Guillermo Diaz Graham3117:2243.1%16198391615247124–5246.2%25–6836.8%38–5569.1%51.2%55.8%45.8%515:52 −1:3039.6%2.2 −3.0
Mookie Cook2320:1437.2%16794341320376333–7047.1%21–5339.6%38–5273.1%52.4%57.2%42.3%515:43 −4:3139.3%4.8 −2.5
Veniamin Abosi2217:2730.7%110912688264715–3444.1%†18–4837.5%†26–3966.7%51.2%†55.5%†47.6%†————
Saba Gigiberia255:5912.0%48621245101721–4942.9%†0–10.0%†6–2128.6%†42.0%†40.5%†42.0%†47:04 +1:0514.1%2.3 +0.3
Aidan BracciaUnder 100 minutes144:565.5%574301131–250.0%†1–128.3%†0–20.0%†17.9%†16.8%†14.3%†22:17 −2:392.3%0.0 −0.4
Weilun ZhaoUnder 100 minutes133:544.1%141910664–666.7%†0–100.0%†6–966.7%†25.0%†35.1%†56.3%†20:30 −3:240.5%0.0 −1.1
Sean Blakely DrummondFew gamesUnder 100 minutes41:000.3%01001000–0—0–10.0%†0–20.0%†0.0%†0.0%†200.0%†10:41 −0:190.3%0.0 0.0
Team, games with logs · season totals31 games23011107421not published91325not published482–94850.8%281–81034.7%494–70070.6%51.4%55.7%39.8%
Sum of players2301101142116091318533Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0+960not published0+7not 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
$680K
80% Range $305K to $1.55M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$645K to $860K
Scenario medians
Players with Figures
13
3 floor only

The widest scenario range, $390K to $1.90M, 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
Ryan Beasley79.0%$110K$40K to $280K16.6%$105K to $140K$5KSufficient evidenceRange driven by assumption, not data
Tyrone Riley IV75.5%$135K$54K to $355K18.2%$125K to $165K$5KSufficient evidenceRange driven by assumption, not data
Vukasin Masic54.8%$39K$5K to $115K7.1%$37K to $49K$5KSufficient evidenceRange driven by assumption, not data
David Fuchs53.3%$72K$22K to $190K10.8%$68K to $90K$5KSufficient evidenceRange driven by assumption, not data
Legend Smiley52.2%$42K$6K to $120K7.5%$39K to $52K$5KSufficient evidenceRange driven by assumption, not data
Junjie Wang51.6%$44K$7K to $120K7.6%$41K to $55K$5KSufficient evidenceRange driven by assumption, not data
Guillermo Diaz Graham43.7%$105K$41K to $285K13.7%$97K to $130K$5KSufficient evidenceRange driven by assumption, not data
Mookie Cook38.9%$31K$5K to $87K5.5%$29K to $38K$5KSufficient evidenceRange driven by assumption, not data
Veniamin Abosi28.8%$25K$5K to $72K4.4%$24K to $32K$5KSufficient evidenceRange driven by assumption, not data
Saba Gigiberia11.8%$13K$4K to $34K2.2%$12K to $16K$5KLimited evidenceRange driven by assumption, not data
Aidan Braccia5.9%$5K$2K to $12K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Weilun Zhao4.1%$5K$2K to $12K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Sean Blakely Drummond0.3%$5K$2K to $12K0.8%$5K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$680K$305K to $1.55M100%$645K 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, University of San Francisco (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$6,432,687Equals expenses (budget identity)
Men's basketball expenses$6,432,687
Athletics department expenses$27,558,534
Athletics department revenue$27,558,534

Team Totalsβ

Season totals, 31 games, 2,088 possessions. Observed box-score sums, unadjusted. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points2,3012,280
Field goals made763824
Field goals attempted1,7581,849
3-pointers made281226
3-pointers attempted810670
Free throws made494406
Free throws attempted700547
Offensive rebounds335314
Defensive rebounds772742
Total rebounds1,1071,056
Assists421430
Blocks9183
Turnovers325300
StealsNo team figure. Players sum to 160.
Personal foulsNo team figure. Players sum to 533.
Minutes (derived)6,250not published

31 of 31 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
PointsReconciled2,3012,3010±11.50
Field goals madeReconciled7637630±3.80
Field goals attemptedReconciled1,7581,7580±8.80
3-pointers madeReconciled2812810±2.00
3-pointers attemptedReconciled8108100±4.00
Free throws madeReconciled4944940±2.50
Free throws attemptedReconciled7007000±3.50
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown1,1071,011+96±88.60
AssistsReconciled4214210±2.10
BlocksReconciled91910±2.00
TurnoversReconciled325318+7±9.80
StealsNo team figurenot published160not publishednot publishednot published
Personal foulsNo team figurenot published533not publishednot publishednot published
Minutes (derived)Reconciled6,2506,227+23.4±125.00

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
Ryan Beasley79.0%+1.5range +0.3 to +2.7Sufficient evidence
Tyrone Riley IV75.5%+2.3range +1.1 to +3.6Sufficient evidence
Vukasin Masic54.8%-0.2range -1.6 to +1.1Sufficient evidence
David Fuchs53.3%+1.4range -0.1 to +2.8Sufficient evidence
Legend Smiley52.2%-0.0range -1.7 to +1.5Sufficient evidence
Junjie Wang51.6%+0.2range -1.2 to +1.3Sufficient evidence
Guillermo Diaz Graham43.7%+3.0range +2.0 to +4.1Sufficient evidence
Mookie Cook38.9%-0.2range -1.3 to +1.1Sufficient evidence
Veniamin Abosi28.8%-0.0range -1.6 to +1.2Sufficient evidence
Saba Gigiberia11.8%-0.1range -1.0 to +0.8Limited evidence
Aidan Braccia5.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Weilun Zhao4.1%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Sean Blakely Drummond0.3%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
+10.3range +9.2 to +11.1Sufficient evidence

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

10 valued players hold 97.9% of on-court time. 3 without a value (under 300 possessions) hold 2.1%, counted at replacement level -9.5. Limited-evidence players hold 2.4%.

NIL Methodology · Scheduling and Model-Implied Value