Algosys College Basketball

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UTSA

AAC · 2025–26 · Raw net rank 359 · Raw net -22.5 · Tempo 69.6 · 28 Division I games · Through 2026-03-08

All seasons
Record
3–25
3 wins
AdjNet
-17.6β
rank 349 of 365
AdjO
99.3β
rank 339 of 365
AdjD
116.9β
rank 344 of 365
AdjT
69.3β
SOS
1.5β
rank 123 of 363
NCSOS
2.1β
WAB
-18.1β
rank 348 of 363
RR
-0.6β
Exp. W
3.6β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.96.7347119.2355108.5
Four Factors
Effective FG%44.836053.327751.4
TO / 100 poss.17.523514.731116.7
Offensive rebound %30.219238.736330.6
FTA / FGA %29.531833.313535.0
Shooting
3P%29.235235.125033.9
2P%45.535353.826751.7
FT%69.827572.015572.5
Style
3PA / FGA %41.343.339.5
Assists / FGM %42.856.052.6
Blocks / opp. 2PA %12.013.19.5
Point Distribution
3-pointers %32.834.931.4
2-pointers %48.546.848.8
Free throws %18.718.319.8

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
44%
Bench Share of Minutes
33%
Players with Logged Minutes
14

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-07SIUEL 60–7772.7Home0–1
11-12Texas St.L 69–8070.4Away0–2
11-15DenverW 84–7965.1Away1–2
11-24Abilene ChristianL 50–6162.0Neutral1–3
11-25Ga. SouthernW 77–6473.3Neutral2–3
11-30South AlabamaL 58–8271.0Home2–4
12-07AlabamaL 55–9777.5Away2–5
12-13ColoradoL 64–8872.3Away2–6
12-17Southern CaliforniaL 70–9774.1Away2–7
12-22Seattle UL 68–7174.0Home2–8
12-31Fla. AtlanticL 70–11079.9Away2–9
01-03TempleL 57–7665.2Away2–10
01-07CharlotteL 58–7464.4Home2–11
01-10TulaneL 52–8568.7Home2–12
01-14RiceL 73–8961.6Home2–13
01-18MemphisL 69–9572.4Away2–14
01-21North TexasL 62–8167.9Away2–15
01-24TempleL 64–7062.6Home2–16
01-28UABL 73–8370.6Home2–17
02-04South Fla.L 88–10970.7Away2–18
02-07North TexasL 58–8169.7Home2–19
02-11East CarolinaL 72–8871.0Away2–20
02-15CharlotteW 88–7965.8Away3–20
02-18Fla. AtlanticL 52–6067.6Home3–21
02-22TulsaL 74–10071.5Away3–22
02-25East CarolinaL 81–8267.5Home3–23
03-01Wichita St.L 67–8469.7Home3–24
03-08RiceL 71–8068.8Away3–25

Roster · 14 players

Player logs in 28 of 28 team games

Team roster, per game
Column groupsMinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Jamir Simpson2835:1688.1%16.13.92.31.00.11.91.2108–23645.8%48–16229.6%91–12175.2%45.2%50.0%30.4%538:28 +3:1396.2%16.6 +0.5
Brent Moss2727:1365.6%9.64.40.91.40.41.01.747–11740.2%45–14331.5%29–3974.4%44.0%46.5%15.0%532:50 +5:3782.1%8.6 −1.0
Dorian Hayes2430:1965.0%8.71.81.80.80.11.42.514–4332.6%51–15433.1%28–4070.0%45.9%48.7%20.3%531:34 +1:1578.9%10.4 +1.7
Baboucarr Njie2725:5862.6%9.65.41.30.71.62.53.294–18351.4%2–316.5%†64–9964.6%45.3%50.1%46.3%528:05 +2:0770.2%14.4 +4.8
Austin Nunez2029:0451.9%9.62.12.61.10.12.22.442–12633.3%19–8123.5%50–5787.7%34.1%41.1%27.5%————
Matheo Coffi2819:1648.2%3.54.90.80.30.70.91.925–4852.1%†14–3836.8%†6–1154.5%†53.5%†53.9%†12.8%†527:04 +7:4867.7%5.8 +2.3
Kaidon Rayfield2419:3441.9%6.34.30.80.70.71.02.444–9944.4%9–3923.1%†37–6556.9%41.7%45.6%47.1%224:03 +4:2824.0%5.0 −1.3
Daniel Akitoby2214:2928.5%5.84.10.30.30.50.61.548–8357.8%†4–1040.0%†19–2867.9%58.1%†60.3%†30.1%†522:25 +7:5656.0%9.6 +3.8
LJ Brown1612:0417.2%2.61.40.50.90.00.61.34–757.1%†10–3528.6%†3–3100.0%†45.2%†47.3%†7.1%†316:04 +4:0024.1%2.7 +0.1
Mo Njie187:5912.8%1.31.60.10.00.40.51.25–1533.3%†2–2100.0%†7–1546.7%†47.1%†48.7%†88.2%†————
Macaleab RichFew games915:0612.1%7.12.30.30.30.71.71.722–3857.9%†2–825.0%†14–2070.0%†54.3%†58.4%†43.5%†————
Pierce SpencerFew gamesUnder 100 minutes313:493.7%4.01.01.70.30.30.71.34–1040.0%†0–20.0%†4–666.7%†33.3%†41.0%†50.0%†————
Stanley BordenFew gamesUnder 100 minutes23:350.6%0.00.50.00.00.00.00.50–0—0–10.0%†0–0—0.0%†0.0%†0.0%†————
Jackson FazandeFew gamesUnder 100 minutes10:380.1%0.00.00.00.00.00.00.00–0—0–0—0–0————————
Team, games with logs · per game28 games67.334.910.1not published4.312.1not published457–100545.5%206–70629.2%352–50469.8%44.8%48.7%29.5%
Sum of players67.331.010.16.34.311.517.0Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.90.0not published+0.0+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
$765K
80% Range $320K to $1.70M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$580K to $875K
Scenario medians
Players with Figures
14
3 floor only

The widest scenario range, $385K 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
Jamir Simpson88.4%$35K$3K to $165K7.5%$28K to $42K$5KSufficient evidenceRange driven by assumption, not data
Dorian Hayes65.7%$25K$3K to $115K4.7%$19K to $28K$5KSufficient evidenceRange driven by assumption, not data
Brent Moss65.4%$39K$3K to $160K8.1%$30K to $45K$5KSufficient evidenceRange driven by assumption, not data
Baboucarr Njie62.1%$105K$6K to $415K14.5%$79K to $120K$5KSufficient evidenceRange driven by assumption, not data
Austin Nunez52.0%$27K$3K to $115K5.5%$21K to $32K$5KSufficient evidenceRange driven by assumption, not data
Matheo Coffi49.6%$74K$5K to $335K10.9%$57K to $86K$5KSufficient evidenceRange driven by assumption, not data
Kaidon Rayfield42.2%$82K$7K to $390K10.7%$63K to $96K$5KSufficient evidenceRange driven by assumption, not data
Daniel Akitoby27.9%$39K$4K to $165K6.2%$30K to $46K$5KSufficient evidenceRange driven by assumption, not data
LJ Brown17.4%$25K$4K to $83K4.1%$19K to $29K$5KSufficient evidenceRange driven by assumption, not data
Mo Njie13.3%$15K$3K to $48K2.9%$12K to $17K$5KLimited evidenceRange driven by assumption, not data
Macaleab Rich11.4%$17K$4K to $52K2.9%$13K to $20K$5KLimited evidenceRange driven by assumption, not data
Pierce Spencer3.9%$5K$2K to $13K0.7%$4K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Stanley Borden0.7%$5K$2K to $13K0.7%$4K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Jackson Fazande0.0%$5K$2K to $13K0.7%$4K to $6K$5KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$765K$320K to $1.70M100%$580K to $875K—

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, The University of Texas at San Antonio (NCAA Division I-FBS)
MeasureSchool-Reported AmountNote
Men's basketball revenue$2,897,731Equals expenses (budget identity)
Men's basketball expenses$2,897,731
Athletics department expenses$49,898,232
Athletics department revenue$54,436,434

Team Totalsβ

Season per game, 28 games, 1,948 possessions. Observed box-score sums, unadjusted. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points67.382.9
Field goals made23.729.0
Field goals attempted61.163.6
3-pointers made7.49.6
3-pointers attempted25.227.5
Free throws made12.615.2
Free throws attempted18.021.1
Offensive rebounds12.014.5
Defensive rebounds22.927.7
Total rebounds34.942.2
Assists10.116.3
Blocks4.34.7
Turnovers12.110.2
StealsNo team figure. Players sum to 177.
Personal foulsNo team figure. Players sum to 476.
Minutes (derived)200.0not published

28 of 28 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
PointsReconciled1,8841,8840±9.40
Field goals madeReconciled6636630±3.30
Field goals attemptedReconciled1,7111,7110±8.60
3-pointers madeReconciled2062060±2.00
3-pointers attemptedReconciled7067060±3.50
Free throws madeReconciled3523520±2.00
Free throws attemptedReconciled5045040±2.50
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown977868+109±78.20
AssistsReconciled2842840±2.00
BlocksReconciled121120+1±2.00
TurnoversResidual shown340322+18±10.20
StealsNo team figurenot published177not publishednot publishednot published
Personal foulsNo team figurenot published476not publishednot publishednot published
Minutes (derived)Reconciled5,6005,581+18.5±112.00

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
Jamir Simpson88.4%-4.0range -4.9 to -2.8Sufficient evidence
Dorian Hayes65.7%-4.2range -5.5 to -3.1Sufficient evidence
Brent Moss65.4%-2.9range -4.5 to -1.6Sufficient evidence
Baboucarr Njie62.1%-1.1range -2.6 to +0.1Sufficient evidence
Austin Nunez52.0%-3.4range -4.8 to -1.9Sufficient evidence
Matheo Coffi49.6%-1.6range -2.6 to -0.1Sufficient evidence
Kaidon Rayfield42.2%-1.0range -1.9 to -0.0Sufficient evidence
Daniel Akitoby27.9%-1.5range -2.8 to -0.3Sufficient evidence
LJ Brown17.4%-1.6range -2.4 to -0.7Sufficient evidence
Mo Njie13.3%-2.1range -3.1 to -1.3Limited evidence
Macaleab Rich11.4%-1.5range -2.1 to -1.0Limited evidence
Pierce Spencer3.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Stanley Borden0.7%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Jackson Fazande0.0%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
+6.8range +5.9 to +7.7Sufficient evidence

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

11 valued players hold 99.1% of on-court time. 3 without a value (under 300 possessions) hold 0.9%, counted at replacement level -9.5. Limited-evidence players hold 5.0%.

NIL Methodology · Scheduling and Model-Implied Value