Algosys College Basketball

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East Texas A&M

Slnd · 2025–26 · Raw net rank 331 · Raw net -13.1 · Tempo 68.5 · 30 Division I games · Through 2026-03-02

All seasons
Record
9–21
9 wins
AdjNet
-10.8β
rank 311 of 365
AdjO
100.2β
rank 330 of 365
AdjD
111.0β
rank 247 of 365
AdjT
69.2β
SOS
0.1β
rank 155 of 363
NCSOS
6.4β
WAB
-13.8β
rank 298 of 363
RR
0.6β
Exp. W
8.4β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.97.9342111.0245108.5
Four Factors
Effective FG%49.228252.926151.4
TO / 100 poss.19.233017.015216.7
Offensive rebound %25.732832.829030.6
FTA / FGA %32.025634.516235.0
Shooting
3P%31.331237.334733.9
2P%51.220251.014251.7
FT%67.932769.63972.5
Style
3PA / FGA %46.238.039.5
Assists / FGM %62.456.052.6
Blocks / opp. 2PA %8.610.89.5
Point Distribution
3-pointers %36.132.731.4
2-pointers %45.848.848.8
Free throws %18.118.519.8

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
44%
Bench Share of Minutes
34%
Players with Logged Minutes
13

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-05New MexicoL 54–7677.1Away0–1
11-10HawaiiL 74–10077.4—0–2
11-14RiceL 64–7166.2Away0–3
11-24FDUW 70–6566.9Away1–3
11-25Army West PointW 84–6769.0Neutral2–3
12-05UConnL 59–8365.7Away2–4
12-07Central Ark.W 75–6874.5Home3–4
12-12McNeeseL 66–10279.0Away3–5
12-15Southeastern La.W 70–6964.6Away4–5
12-21Texas A&ML 77–11883.7Away4–6
12-29SFAL 48–7564.9Home4–7
12-31Lamar UniversityL 62–6966.3Home4–8
01-03NichollsL 58–8073.8Away4–9
01-05LSU New OrleansL 73–8370.9Away4–10
01-10UTRGVW 77–6965.7Home5–10
01-12A&M-Corpus ChristiL 50–6166.9Home5–11
01-17Houston ChristianL 70–8168.4Away5–12
01-19UIWW 80–5860.3Away6–12
01-27Lamar UniversityL 61–8267.9Away6–13
01-31NichollsL 68–7269.2Home6–14
02-02LSU New OrleansL 85–9478.3Home6–15
02-04Northwestern St.W 74–6863.2Away7–15
02-07Northwestern St.W 52–4866.5Home8–15
02-09SFAL 70–7466.8Away8–16
02-14McNeeseL 54–9768.1Home8–17
02-16Southeastern La.W 70–5367.7Home9–17
02-21UIWL 73–8257.2Home9–18
02-23Houston ChristianL 68–6964.1Home9–19
02-28UTRGVL 55–6357.6Away9–20
03-02A&M-Corpus ChristiL 71–8467.2Away9–21

Roster · 13 players

Player logs in 30 of 30 team games

MinutesPer 40 MinutesShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Gianni Hunt3031:5379.7%14.35.46.02.00.23.22.764–13946.0%40–12631.7%94–12376.4%46.8%53.6%46.4%535:06 +3:1287.7%13.2 +1.8
Ronnie Harrison2830:2771.1%18.68.22.31.50.93.02.4118–22253.2%29–10228.4%74–11365.5%49.8%53.1%34.9%530:45 +0:1876.9%12.4 −1.8
Noah Pagotto3026:4867.0%15.78.41.51.30.91.54.6101–16760.5%18–4738.3%†60–7876.9%59.8%63.6%36.4%534:32 +7:4486.3%15.8 +5.3
Damian Garcia3026:1565.6%15.44.83.01.60.72.42.661–12548.8%46–14831.1%43–7557.3%47.6%49.5%27.5%528:14 +1:5970.6%8.6 −1.5
Vinny Sigona2619:5643.2%15.02.03.30.70.12.43.58–2138.1%53–14137.6%19–2286.4%†54.0%56.5%13.6%518:01 −1:5545.0%7.6 +0.1
Josh Taylor3016:3141.3%11.98.11.80.81.52.73.652–9654.2%8–2433.3%†19–3455.9%53.3%54.5%28.3%518:04 +1:3345.2%3.8 −1.1
Tay Mosher2516:4534.9%10.84.92.41.00.21.14.313–2356.5%27–8731.0%6–1060.0%†48.6%49.4%9.1%521:41 +4:5554.2%5.4 +0.9
Evan Phelps2913:5933.8%3.61.92.82.10.52.93.97–2825.0%†6–3318.2%†4–1526.7%†26.2%†26.6%†24.6%†510:05 −3:5425.2%0.6 −0.6
London Fields2314:0527.0%7.83.81.91.00.41.73.27–1643.8%†13–5125.5%10–1471.4%†39.6%†43.1%†20.9%†23:59 −10:064.0%0.0 −2.7
Michael Folarin1912:2719.7%12.510.71.40.31.22.95.124–5246.2%†0–20.0%†26–4163.4%44.4%†51.4%†75.9%†————
Alex McCray198:5114.0%6.44.03.61.20.24.83.16–1060.0%†2–1216.7%†9–1181.8%†40.9%†50.3%†50.0%†22:42 −6:092.7%0.0 −1.4
Parker Whisenhunt42:140.7%0.04.50.00.00.04.513.40–10.0%†0–0—0–0—0.0%†0.0%†0.0%†10:31 −1:430.3%0.0 0.0
Mykol Sanchez-Vega11:120.1%0.00.00.00.00.00.00.00–0—0–10.0%†0–0—0.0%†0.0%†0.0%†————
Team, games with logs · per 40 team minutes30 games67.132.114.63.113.2461–90051.2%242–77431.3%364–53667.9%49.2%52.7%32.0%
Sum of players67.129.214.66.73.112.616.9Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+2.90.00.0+0.6

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
$200K
80% Range $75K to $540K
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$195K to $205K
Scenario medians
Players with Figures
13
2 floor only
Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Gianni Hunt78.4%$59K$18K to $195K26.5%$58K to $59K$1KSufficient evidenceRange driven by assumption, not data
Ronnie Harrison66.6%$6K$1K to $38K5.2%$6K to $7K$1KSufficient evidenceRange driven by assumption, not data
Noah Pagotto65.4%$34K$9K to $130K16.7%$34K to $35K$1KSufficient evidenceRange driven by assumption, not data
Damian Garcia63.2%$14K$1K to $56K10.4%$14K in all four$1KSufficient evidenceRange driven by assumption, not data
Vinny Sigona44.8%$8K$1K to $36K5.7%$7K to $8K$1KSufficient evidenceRange driven by assumption, not data
Josh Taylor43.3%$6K$1K to $28K4.2%$5K to $6K$1KSufficient evidenceRange driven by assumption, not data
Evan Phelps37.1%$4K$1K to $19K1.1%$4K in all four$1KSufficient evidenceRange driven by assumption, not data
Tay Mosher29.7%$17K$4K to $66K8.1%$17K in all four$1KSufficient evidenceRange driven by assumption, not data
London Fields28.9%$3K$1K to $15K1.1%$3K in all four$1KSufficient evidenceRange driven by assumption, not data
Michael Folarin24.6%$5K$1K to $21K3.9%$5K in all four$1KSufficient evidenceRange driven by assumption, not data
Alex McCray17.1%$3K$1K to $10K1.1%$3K in all four$1KLimited evidenceRange driven by assumption, not data
Parker Whisenhunt0.9%$1K$0 to $4K0.8%$1K in all four$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Mykol Sanchez-Vega0.1%$1K$0 to $4K0.8%$1K in all four$1KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$200K$75K to $540K100%$195K to $205K—

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, East Texas A&M University (NCAA Division I-FCS)
MeasureSchool-Reported AmountNote
Men's basketball revenue$1,757,485
Men's basketball expenses$1,756,914
Athletics department expenses$18,247,569
Athletics department revenue$21,855,372

Team Totalsβ

Season per 40 minutes, 30 games, 2,055 possessions. Observed box-score sums, unadjusted. Per 40 uses 1200 game minutes, 5 per overtime period. Definitions

StatisticTeamOpponents
Points67.176.0
Field goals made23.426.8
Field goals attempted55.858.6
3-pointers made8.18.3
3-pointers attempted25.822.3
Free throws made12.114.1
Free throws attempted17.920.2
Offensive rebounds9.011.2
Defensive rebounds23.026.1
Total rebounds32.137.3
Assists14.615.0
Blocks3.13.2
Turnovers13.211.6
StealsNo team figure. Players sum to 202.
Personal foulsNo team figure. Players sum to 507.
Minutes (derived)200.0

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

StatisticStatusTeam Total, Logged GamesSum of PlayersResidualToleranceTeam Total, Games Without Logs
PointsReconciled2,0122,0120±10.10
Field goals madeReconciled7037030±3.50
Field goals attemptedReconciled1,6741,6740±8.40
3-pointers madeReconciled2422420±2.00
3-pointers attemptedReconciled7747740±3.90
Free throws madeReconciled3643640±2.00
Free throws attemptedReconciled5365360±2.70
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown962875+87±77.00
AssistsReconciled4394390±2.20
BlocksReconciled94940±2.00
TurnoversResidual shown395377+18±11.80
StealsNo team figure202
Personal foulsNo team figure507
Minutes (derived)Reconciled6,0005,978+22.1±120.00

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
Gianni Hunt78.4%+1.2range -0.1 to +2.5Sufficient evidence
Ronnie Harrison66.6%-2.3range -3.4 to -0.9Sufficient evidence
Noah Pagotto65.4%+0.5range -0.7 to +1.6Sufficient evidence
Damian Garcia63.2%-1.0range -2.2 to +0.3Sufficient evidence
Vinny Sigona44.8%-1.6range -2.9 to -0.1Sufficient evidence
Josh Taylor43.3%-1.8range -2.6 to -1.0Sufficient evidence
Evan Phelps37.1%-3.0range -4.1 to -2.0Sufficient evidence
Tay Mosher29.7%+0.6range -0.8 to +2.1Sufficient evidence
London Fields28.9%-3.1range -4.2 to -2.0Sufficient evidence
Michael Folarin24.6%-1.3range -2.1 to -0.3Sufficient evidence
Alex McCray17.1%-3.7range -4.7 to -2.6Limited evidence
Parker Whisenhunt0.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Mykol Sanchez-Vega0.1%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
+8.4range +7.5 to +9.3Sufficient evidence

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

11 valued players hold 99.8% of on-court time. 2 without a value (under 300 possessions) hold 0.2%, counted at replacement level -9.5. Limited-evidence players hold 3.4%.

NIL Methodology · Scheduling and Model-Implied Value