Algosys College Basketball

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Abilene Christian

WAC · 2025–26 · Raw net rank 294 · Raw net -8.6 · Tempo 68.9 · 30 Division I games · Through 2026-03-12

All seasons
Record
11–19
11 wins
AdjNet
-6.9β
rank 265 of 365
AdjO
100.7β
rank 324 of 365
AdjD
107.6β
rank 160 of 365
AdjT
68.4β
SOS
0.4β
rank 148 of 363
NCSOS
2.9β
WAB
-11.9β
rank 257 of 363
RR
0.4β
Exp. W
10.6β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.98.1340106.7124108.5
Four Factors
Effective FG%47.532656.535051.4
TO / 100 poss.20.835623.4216.7
Offensive rebound %31.016329.111230.6
FTA / FGA %41.73553.536535.0
Shooting
3P%31.031840.936533.9
2P%48.031154.429251.7
FT%70.425872.317272.5
Style
3PA / FGA %32.830.039.5
Assists / FGM %54.250.552.6
Blocks / opp. 2PA %7.512.69.5
Point Distribution
3-pointers %24.624.231.4
2-pointers %51.850.348.8
Free throws %23.625.519.8

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

Rotation Depth

Effective Rotation Size
9.2
Top Three Share of Minutes
42%
Bench Share of Minutes
34%
Players with Logged Minutes
12

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-06OmahaW 73–7168.8Home1–0
11-14SFAL 66–7667.2Away1–1
11-18Texas St.L 49–6363.2Away1–2
11-24UTSAW 61–5062.0Neutral2–2
11-25William & MaryL 58–9274.7Neutral2–3
12-02PepperdineW 71–6361.9Away3–3
12-06New Mexico St.W 77–6963.3Home4–3
12-16ArizonaL 62–9674.0Away4–4
12-19BYUL 67–8571.6Away4–5
12-22Texas SouthernW 75–6869.4Away5–5
01-01Utah TechL 64–7966.9Home5–6
01-03Utah ValleyW 85–6869.4Home6–6
01-08Tarleton St.W 84–8072.6Away7–6
01-10UT ArlingtonL 72–8266.0Away7–7
01-15California BaptistL 58–7463.9Home7–8
01-17Southern UtahL 52–7471.3Away7–9
01-29Utah TechL 70–7673.7Home7–10
01-31Southern UtahL 76–7968.3Home7–11
02-05Utah ValleyL 55–6868.5Away7–12
02-07California BaptistL 63–6567.8Away7–13
02-12UT ArlingtonW 67–6367.2Home8–13
02-14Tarleton St.W 73–5970.1Home9–13
02-16Tarleton St.L 62–65 1OT75.8Away9–14
02-21Southern UtahW 87–8375.1Home10–14
02-26Utah TechL 81–8569.9Away10–15
02-28Utah ValleyL 67–7469.3Away10–16
03-05California BaptistL 48–8772.5Away10–17
03-07UT ArlingtonL 57–6465.4Home10–18
03-11Tarleton St.W 84–7876.5Neutral11–18
03-12Utah TechL 74–8070.4Neutral11–19

Roster · 12 players

Player logs in 29 of 30 team games

MinutesSeason TotalsShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Rich Smith2930:1973.0%2971161345587683101–19053.2%3–1225.0%†86–13265.2%52.2%57.1%65.3%528:15 −2:0470.6%11.4 +1.2
Bradyn Hubbard2828:4866.9%457130404536586106–24643.1%39–12930.2%128–15980.5%43.9%51.4%42.4%427:15 −1:3354.5%16.0 −0.3
Joseph Venzant2926:2363.5%12796225210319925–5149.0%†10–2638.5%†47–6078.3%51.9%†61.4%†77.9%†523:09 −3:1457.9%2.0 −2.4
Cbo Newton2726:1858.9%2775633305416476–13556.3%26–8929.2%47–6968.1%51.3%54.5%30.8%528:38 +2:2071.6%8.6 −1.7
Yaniel Rivera2724:5455.8%1994063327432918–5433.3%46–12138.0%25–3865.8%49.7%51.9%21.7%527:07 +2:1367.8%9.4 +2.0
Zy Wright2916:3339.8%1655513155285038–7252.8%16–5429.6%41–4885.4%49.2%56.1%38.1%520:22 +3:4950.9%6.8 +1.1
Cade Hornecker2915:4838.0%15499321413335456–11150.5%3–1717.6%†33–4967.3%47.3%51.5%38.3%514:08 −1:4035.3%4.6 −0.7
Christian Alston2710:4524.1%122538115232830–7540.0%10–4025.0%†32–4472.7%39.1%45.4%38.3%513:11 +2:2633.0%5.6 +1.1
Joseph Scott2511:1623.4%81748125235134–7048.6%†0–10.0%†13–2944.8%47.9%†48.4%†40.8%†56:39 −4:3716.6%1.4 −1.8
Ma'Shy Hill299:4023.3%67433312214729–4761.7%†0–0—9–2437.5%†61.7%†58.2%†51.1%†59:57 +0:1724.9%2.0 −0.3
Isaac Dye215:249.4%28142334140–10.0%†8–3026.7%†4–666.7%†38.7%†41.6%†19.4%†34:24 −1:006.6%2.3 +1.0
Tylan Lewis232:555.6%24611291–714.3%†0–10.0%†0–0—12.5%†12.5%†0.0%†53:12 +0:168.0%0.0 −0.1
Team, games with logs · season totals29 games197688636677416514–106148.4%161–52230.8%465–65870.7%47.7%52.8%41.6%
Sum of players197678036427377390614Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0+106+20+26

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
$250K
80% Range $91K to $665K
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$245K to $255K
Scenario medians
Players with Figures
12
2 floor only
Players in possession-share order
PlayerPoss. ShareSpeculative Best Guess80% RangeRange GraphicMedian % of Team PoolScenarios Z1 to Z4Floor PartEvidence and Flags
Rich Smith77.5%$43K$12K to $135K16.7%$41K to $44K$2KSufficient evidenceRange driven by assumption, not data
Bradyn Hubbard72.9%$49K$15K to $155K18.6%$48K to $50K$2KSufficient evidenceRange driven by assumption, not data
Cbo Newton67.6%$18K$3K to $66K9.8%$18K to $19K$2KSufficient evidenceRange driven by assumption, not data
Joseph Venzant64.5%$14K$2K to $54K7.6%$13K to $14K$2KSufficient evidenceRange driven by assumption, not data
Yaniel Rivera61.4%$26K$6K to $81K11.7%$25K to $27K$2KSufficient evidenceRange driven by assumption, not data
Cade Hornecker42.6%$29K$9K to $85K10.8%$28K to $29K$2KSufficient evidenceRange driven by assumption, not data
Zy Wright42.3%$21K$6K to $65K8.8%$21K to $22K$2KSufficient evidenceRange driven by assumption, not data
Ma'Shy Hill24.6%$9K$2K to $29K4.3%$8K to $9K$2KSufficient evidenceRange driven by assumption, not data
Christian Alston20.8%$8K$2K to $25K4.0%$8K to $9K$2KSufficient evidenceRange driven by assumption, not data
Joseph Scott18.5%$3K$1K to $12K1.2%$3K in all four$2KLimited evidenceRange driven by assumption, not data
Isaac Dye4.1%$2K$1K to $6K0.8%$2K in all four$2KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Tylan Lewis3.3%$2K$1K to $6K0.8%$2K in all four$2KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$250K$91K to $665K100%$245K to $255K—

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, Abilene Christian University (NCAA Division I-FCS)
MeasureSchool-Reported AmountNote
Men's basketball revenue$2,946,756
Men's basketball expenses$2,430,158
Athletics department expenses$26,476,731
Athletics department revenue$26,476,731

Team Totalsβ

Season totals, 30 games, 2,076 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points2,0382,216
Field goals made695736
Field goals attempted1,6391,462
3-pointers made167179
3-pointers attempted538438
Free throws made481565
Free throws attempted683782
Offensive rebounds320242
Defensive rebounds589712
Total rebounds909954
Assists377372
Blocks77139
Turnovers432486
StealsNo team figure. Players sum to 273.
Personal foulsNo team figure. Players sum to 614.
Minutes (derived)6,025

29 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
PointsReconciled1,9761,9760±9.962
Field goals madeReconciled6756750±3.420
Field goals attemptedReconciled1,5831,579+4±7.956
3-pointers madeReconciled1611610±2.06
3-pointers attemptedReconciled522520+2±2.616
Free throws madeReconciled4654650±2.316
Free throws attemptedReconciled6586580±3.325
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown886780+106±70.923
AssistsReconciled366364+2±2.011
BlocksReconciled77770±2.00
TurnoversResidual shown416390+26±12.516
StealsNo team figure273
Personal foulsNo team figure614
Minutes (derived)Reconciled5,8255,805+20.4±116.5200

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
Rich Smith77.5%+1.3range +0.1 to +2.6Sufficient evidence
Bradyn Hubbard72.9%+1.9range +0.6 to +3.0Sufficient evidence
Cbo Newton67.6%-0.2range -1.5 to +0.8Sufficient evidence
Joseph Venzant64.5%-0.8range -2.2 to +0.6Sufficient evidence
Yaniel Rivera61.4%+0.6range -0.6 to +1.9Sufficient evidence
Cade Hornecker42.6%+1.8range +0.5 to +2.8Sufficient evidence
Zy Wright42.3%+1.0range -0.2 to +2.2Sufficient evidence
Ma'Shy Hill24.6%-0.0range -1.5 to +1.5Sufficient evidence
Christian Alston20.8%+0.1range -0.7 to +0.9Sufficient evidence
Joseph Scott18.5%-3.1range -4.3 to -1.9Limited evidence
Isaac Dye4.1%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Tylan Lewis3.3%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
+9.9range +9.1 to +10.7Sufficient evidence

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

10 valued players hold 98.5% of on-court time. 2 without a value (under 300 possessions) hold 1.5%, counted at replacement level -9.5. Limited-evidence players hold 3.7%.

NIL Methodology · Scheduling and Model-Implied Value