Algosys College Basketball

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Wichita St.

AAC · 2025–26 · Raw net rank 52 · Raw net 9.8 · Tempo 67.8 · 35 Division I games · Through 2026-03-24

All seasons
Record
23–12
23 wins
AdjNet
10.2β
rank 61 of 365
AdjO
111.9β
rank 94 of 365
AdjD
101.7β
rank 41 of 365
AdjT
67.7β
SOS
1.8β
rank 114 of 363
NCSOS
-1.8β
WAB
-2.4β
rank 75 of 363
RR
-0.6β
Exp. W
23.6β

Scouting Report

CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.112.0102102.246108.5
Four Factors
Effective FG%49.427447.22451.4
TO / 100 poss.14.96015.723416.7
Offensive rebound %38.0828.89430.6
FTA / FGA %36.015034.315735.0
Shooting
3P%33.519531.54433.9
2P%49.028347.23351.7
FT%69.229270.36472.5
Style
3PA / FGA %33.834.339.5
Assists / FGM %41.343.852.6
Blocks / opp. 2PA %9.78.59.5
Point Distribution
3-pointers %27.527.431.4
2-pointers %52.452.348.8
Free throws %20.120.319.8

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

Rotation Depth

Effective Rotation Size
8.3
Top Three Share of Minutes
48%
Bench Share of Minutes
31%
Players with Logged Minutes
12

Bench: players outside the top five in minutes. Definitions

Schedule and Results

DateOpponentResultPoss.SiteRecord
11-04UNC AshevilleW 75–5867.7Home1–0
11-08Prairie ViewW 105–6276.9Home2–0
11-13Loyola ChicagoW 95–7465.3Home3–0
11-18Boise St.L 59–6264.0Away3–1
11-22MilwaukeeW 75–5866.9Home4–1
11-26Saint Mary's (CA)L 65–7068.7Neutral4–2
11-27Colorado St.L 70–7658.7Neutral4–3
11-28Western Ky.L 70–7563.6Neutral4–4
12-06UNIW 74–69 1OT70.8Away5–4
12-13DePaulL 58–6163.0Home5–5
12-17WoffordW 84–7366.0Home6–5
12-21Eastern Ky.W 88–5767.0Home7–5
12-31UABW 75–7065.0Away8–5
01-03CharlotteL 100–104 2OT74.8Away8–6
01-07RiceL 64–6664.7Home8–7
01-11North TexasW 78–6771.1Home9–7
01-15Fla. AtlanticL 67–8570.0Away9–8
01-18South Fla.W 86–85 1OT76.7Away10–8
01-21East CarolinaW 77–6065.0Home11–8
01-24MemphisW 74–5972.0Home12–8
02-01TulsaL 83–9372.5Away12–9
02-04CharlotteW 74–6466.5Home13–9
02-08TulaneW 75–6172.7Away14–9
02-11South Fla.L 58–6669.4Home14–10
02-14TulsaW 81–7768.4Home15–10
02-18East CarolinaW 92–89 2OT88.1Away16–10
02-21TempleW 69–5761.4Home17–10
02-26MemphisW 88–8271.9Away18–10
03-01UTSAW 84–6769.7Away19–10
03-07Fla. AtlanticW 88–7070.1Home20–10
03-14TulsaW 81–6864.8Neutral21–10
03-15South Fla.L 55–7068.2Neutral21–11
03-17WyomingW 74–7074.7—22–11
03-22Oklahoma St.W 96–7073.6—23–11
03-24TulsaL 79–8375.1—23–12

Roster · 12 players

Player logs in 35 of 35 team games

MinutesPer GameShootingLast Five Team Games
PlayerGMPGTeam Min%PtsRebAstStlBlkTOPF2P2P%3P3P%FTFT%eFG%TS%FTA/FGAGMPGMin%Pts/G
Kenyon Giles3536:2689.2%19.42.71.41.70.01.31.5122–27344.7%124–32538.2%63–7682.9%51.5%53.8%12.7%538:39 +2:1396.6%17.4 −2.0
Karon Boyd3534:0783.5%10.95.91.60.70.51.62.893–19847.0%44–12834.4%65–10363.1%48.8%51.6%31.6%534:41 +0:3486.7%10.8 −0.1
Michael Gray Jr.3527:0266.1%7.93.32.40.60.11.31.742–11137.8%47–16129.2%52–6185.2%41.4%46.3%22.4%530:53 +3:5277.2%9.0 +1.1
Will Berg3421:5952.3%8.88.00.70.41.31.12.799–17955.3%0–20.0%†100–14369.9%54.7%61.1%79.0%522:08 +0:0855.3%9.6 +0.8
TJ Williams3421:5552.1%8.85.11.50.60.21.31.9107–22148.4%1–128.3%†81–11968.1%46.6%52.2%51.1%519:44 −2:1249.3%11.0 +2.2
Emmanuel Okorafor3517:0942.0%6.45.20.40.40.91.22.089–15557.4%0–0—45–6767.2%57.4%60.4%43.2%516:53 −0:1642.2%4.0 −2.4
Dre Kindell3516:5041.2%5.71.62.20.60.11.01.853–11346.9%11–3333.3%†60–7580.0%47.6%55.6%51.4%510:15 −6:3525.6%4.2 −1.5
Dillon Battie3017:4037.1%7.64.80.70.70.40.91.679–13359.4%3–1618.8%†62–10161.4%56.0%59.2%67.8%519:55 +2:1649.8%10.4 +2.8
Brian Amuneke357:3418.5%2.10.70.30.30.10.20.89–2931.0%†16–5230.8%8–1650.0%†40.7%†42.0%†19.8%†54:58 −2:3612.4%0.0 −2.1
Jaret Valencia1013:109.2%2.71.80.50.10.50.31.55–1827.8%†3–1030.0%†8–1553.3%†33.9%†39.0%†53.6%†————
Noah Hill223:566.0%1.22.00.00.10.20.20.812–1963.2%†0–0—2–1216.7%†63.2%†53.5%†63.2%†31:31 −2:252.3%0.3 −0.8
Henry Thengvall101:511.3%0.30.10.30.10.00.10.21–333.3%†0–40.0%†1–250.0%†14.3%†19.0%†28.6%†20:44 −1:070.7%1.0 +0.7
Team, games with logs · per game35 games77.641.711.33.810.3711–145249.0%249–74333.5%547–79069.2%49.4%53.4%36.0%
Sum of players77.638.111.36.03.89.917.5Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players0.0+3.50.00.0+0.4

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
$775K
80% Range $345K to $1.75M
Tier
Mid and high major
low to medium evidence
Team Pool, Scenarios Z1 to Z4
$735K to $885K
Scenario medians
Players with Figures
12
2 floor only

The widest scenario range, $390K to $2.00M, 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
Kenyon Giles89.9%$145K$62K to $345K18.9%$140K to $170K$6KSufficient evidence
Karon Boyd83.9%$130K$52K to $310K17.3%$125K to $150K$6KSufficient evidence
Michael Gray Jr.66.7%$98K$37K to $235K13.1%$94K to $115K$6KSufficient evidenceRange driven by assumption, not data
Will Berg52.1%$145K$58K to $380K17.2%$135K to $165K$6KSufficient evidenceRange driven by assumption, not data
TJ Williams51.0%$60K$17K to $150K8.6%$56K to $68K$6KSufficient evidenceRange driven by assumption, not data
Emmanuel Okorafor42.7%$27K$5K to $84K4.3%$25K to $31K$6KSufficient evidenceRange driven by assumption, not data
Dillon Battie40.7%$62K$24K to $155K8.4%$59K to $71K$6KSufficient evidenceRange driven by assumption, not data
Dre Kindell40.1%$31K$7K to $91K4.9%$30K to $36K$6KSufficient evidenceRange driven by assumption, not data
Brian Amuneke18.6%$15K$4K to $43K2.2%$14K to $17K$6KSufficient evidenceRange driven by assumption, not data
Jaret Valencia6.9%$9K$3K to $21K1.2%$8K to $10K$6KLimited evidenceRange driven by assumption, not data
Noah Hill5.9%$6K$3K to $15K0.8%$6K to $7K$6KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Henry Thengvall1.5%$6K$3K to $15K0.8%$6K to $7K$6KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$775K$345K to $1.75M100%$735K to $885K—

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, Wichita State University (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$6,755,672Equals expenses (budget identity)
Men's basketball expenses$6,755,672
Athletics department expenses$35,040,868
Athletics department revenue$37,215,080

Team Totalsβ

Season per game, 35 games, 2,425 possessions. Observed box-score sums, unadjusted. Definitions

StatisticTeamOpponents
Points77.670.8
Field goals made27.425.0
Field goals attempted62.759.7
3-pointers made7.16.5
3-pointers attempted21.220.5
Free throws made15.614.4
Free throws attempted22.620.5
Offensive rebounds14.610.9
Defensive rebounds27.023.9
Total rebounds41.734.8
Assists11.310.9
Blocks3.83.5
Turnovers10.310.9
StealsNo team figure. Players sum to 211.
Personal foulsNo team figure. Players sum to 611.
Minutes (derived)204.3

35 of 35 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
PointsReconciled2,7162,7160±13.60
Field goals madeReconciled9609600±4.80
Field goals attemptedReconciled2,1952,1950±11.00
3-pointers madeReconciled2492490±2.00
3-pointers attemptedReconciled7437430±3.70
Free throws madeReconciled5475470±2.70
Free throws attemptedReconciled7907900±4.00
Offensive reboundsNo player split
Defensive reboundsNo player split
Total reboundsResidual shown1,4581,334+124±116.60
AssistsReconciled3963960±2.00
BlocksReconciled1331330±2.00
TurnoversResidual shown362347+15±10.90
StealsNo team figure211
Personal foulsNo team figure611
Minutes (derived)Reconciled7,1507,129+21.1±143.00

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
Kenyon Giles89.9%+2.9range +2.0 to +3.8Sufficient evidence
Karon Boyd83.9%+2.6range +1.4 to +3.8Sufficient evidence
Michael Gray Jr.66.7%+2.4range +1.3 to +3.8Sufficient evidence
Will Berg52.1%+4.9range +3.7 to +6.4Sufficient evidence
TJ Williams51.0%+1.5range +0.1 to +2.8Sufficient evidence
Emmanuel Okorafor42.7%-0.4range -1.6 to +1.0Sufficient evidence
Dillon Battie40.7%+2.4range +1.2 to +3.6Sufficient evidence
Dre Kindell40.1%+0.3range -1.1 to +1.5Sufficient evidence
Brian Amuneke18.6%-0.3range -1.6 to +0.6Sufficient evidence
Jaret Valencia6.9%-1.4range -2.3 to -0.5Limited evidence
Noah Hill5.9%Fewer than 300 on-court possessions; no value is estimated. Insufficient evidence
Henry Thengvall1.5%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
+11.5range +10.5 to +12.3Sufficient 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 1.4%.

NIL Methodology · Scheduling and Model-Implied Value