Algosys College Basketball

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Kansas City

Sum · 2025–26 · Raw net rank 362 · Raw net -24.7 · Tempo 71.4 · 28 Division I games · Through 2026-03-04

All seasons
Record
1–27
1 wins
AdjNet
-21.5β
rank 361 of 365
AdjO
94.4β
rank 362 of 365
AdjD
115.9β
rank 332 of 365
AdjT
70.4β
SOS
-0.5β
rank 182 of 363
NCSOS
5.4β
WAB
-20.7β
rank 359 of 363
RR
-2.3β
Exp. W
3.3β

Scouting Report

Scouting report with national ranks
CategoryOffenseDefenseD-I Average
Efficiency
Efficiency / 100 poss.93.4361118.1349108.5
Four Factors
Effective FG%45.735256.334851.4
TO / 100 poss.18.228116.419216.7
Offensive rebound %26.431435.935330.6
FTA / FGA %29.232731.49535.0
Shooting
3P%28.436037.635033.9
2P%47.632156.233251.7
FT%66.235270.25972.5
Style
3PA / FGA %36.839.039.5
Assists / FGM %46.252.452.6
Blocks / opp. 2PA %8.39.49.5
Point Distribution
3-pointers %28.332.631.4
2-pointers %54.351.048.8
Free throws %17.416.419.8

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

Rotation Depth

Effective Rotation Size
8.4
Top Three Share of Minutes
44%
Bench Share of Minutes
30%
Players with Logged Minutes
11

Bench: players outside the top five in minutes. Definitions

Schedule and Results

Schedule and results
DateOpponentResultPoss.SiteRecord
11-07Southern Ill.L 78–10176.1Away0–1
11-11IonaL 91–10586.3Home0–2
11-15TexasL 55–7164.0Away0–3
11-19TCUL 45–8171.1Away0–4
11-24LindenwoodL 67–8075.6Away0–5
11-29Weber St.L 61–8268.6Away0–6
12-03Idaho St.L 59–6860.7Home0–7
12-06Eastern Wash.L 66–9076.2Away0–8
12-10Weber St.L 60–6474.3Home0–9
12-16OklahomaL 67–8970.2Away0–10
12-18Oklahoma St.L 79–9177.2Away0–11
12-31DenverL 74–8770.1Away0–12
01-03OmahaW 73–6667.8Away1–12
01-08North Dakota St.L 73–9768.6Home1–13
01-10North DakotaL 79–8165.5Home1–14
01-15South DakotaL 83–9976.2Away1–15
01-17South Dakota St.L 62–9065.2Away1–16
01-24OmahaL 60–7773.8Home1–17
01-28DenverL 61–6967.3Home1–18
02-01St. Thomas (MN)L 64–9974.0Away1–19
02-04South DakotaL 75–82 1OT80.4Home1–20
02-12Oral RobertsL 60–6965.1Away1–21
02-14St. Thomas (MN)L 64–10472.8Home1–22
02-19North DakotaL 70–8577.1Away1–23
02-21North Dakota St.L 59–9577.2Away1–24
02-26South Dakota St.L 59–7364.1Home1–25
02-28Oral RobertsL 70–9473.6Home1–26
03-04Oral RobertsL 62–8469.7Neutral1–27

Roster · 11 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
Jayson Petty2830:4976.7%10.54.01.51.30.51.82.555–11348.7%43–14529.7%56–6783.6%46.3%51.3%26.0%529:59 −0:5075.0%13.0 +2.5
CJ Evans2731:0574.6%11.82.53.71.50.02.91.7113–25045.2%11–4723.4%†60–8769.0%43.6%47.6%29.3%531:23 +0:1878.4%9.6 −2.2
Karmello Branch2529:3865.9%11.72.61.40.40.11.51.741–9443.6%58–18331.7%36–4285.7%46.2%49.4%15.2%529:10 −0:2872.9%9.4 −2.3
Jerome Palm2825:3463.6%7.15.61.10.60.91.41.785–17249.4%4–2218.2%†18–4738.3%46.9%46.6%24.2%524:09 −1:2460.4%4.0 −3.1
Kasheem Grady II2724:5859.9%9.43.01.11.10.21.31.455–11050.0%31–11127.9%51–6578.5%45.9%50.9%29.4%527:01 +2:0367.5%8.4 −1.0
Chris Dockery2622:1851.5%7.35.70.80.50.21.51.860–10855.6%9–2733.3%†44–7757.1%54.4%56.5%57.0%418:32 −3:4637.0%7.5 +0.2
Addarin Scott2612:2228.6%3.52.70.50.20.50.82.637–7748.1%†0–20.0%†16–3151.6%46.8%†48.6%†39.2%†512:43 +0:2131.8%2.8 −0.7
Jamaria Clark2512:1827.3%2.90.51.00.40.00.61.313–2944.8%†9–4221.4%†19–2095.0%†37.3%†45.1%†28.2%†47:10 −5:0914.3%0.8 −2.1
Trey Booker-Lowery249:5721.2%4.31.80.30.30.10.71.532–7841.0%9–3030.0%†12–2450.0%†42.1%43.4%22.2%515:00 +5:0337.5%9.0 +4.7
Babacar Mbengue238:2217.1%1.31.60.30.00.80.51.212–2450.0%†0–0—5–1926.3%†50.0%†44.8%†79.2%†411:07 +2:4522.2%1.5 +0.2
Kernan BundyFew gamesUnder 100 minutes124:272.2%5.04.02.01.00.01.01.00–20.0%†1–616.7%†2–2100.0%†18.8%†28.2%†25.0%†————
Team, games with logs · per game28 games67.032.211.3not published3.213.0not published509–107047.6%177–62328.4%327–49466.2%45.7%49.1%29.2%
Sum of players66.128.411.16.13.112.316.1Shooting residuals: see Player Lines Against Team Totals.
Residual: team minus players+0.9+3.8+0.2not published+0.0+0.8not 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
$205K
80% Range $75K to $525K
Tier
Low and other
low evidence
Team Pool, Scenarios Z1 to Z4
$185K to $250K
Scenario medians
Players with Figures
11
1 floor only

The widest scenario range, $90K to $635K, 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
Jayson Petty75.9%$28K$2K to $125K15.0%$26K to $34K$2KSufficient evidenceRange driven by assumption, not data
CJ Evans71.1%$13K$1K to $54K11.1%$12K to $16K$2KSufficient evidenceRange driven by assumption, not data
Karmello Branch70.4%$15K$1K to $58K12.2%$14K to $18K$2KSufficient evidenceRange driven by assumption, not data
Jerome Palm61.0%$19K$2K to $70K12.1%$17K to $23K$2KSufficient evidenceRange driven by assumption, not data
Chris Dockery56.8%$19K$2K to $75K11.3%$17K to $23K$2KSufficient evidenceRange driven by assumption, not data
Kasheem Grady II54.5%$9K$1K to $39K7.0%$8K to $11K$2KSufficient evidenceRange driven by assumption, not data
Addarin Scott30.0%$7K$1K to $25K4.7%$6K to $8K$2KLimited evidenceRange driven by assumption, not data
Trey Booker-Lowery27.9%$11K$2K to $44K6.2%$10K to $14K$2KLimited evidenceRange driven by assumption, not data
Jamaria Clark26.7%$12K$2K to $52K6.2%$11K to $15K$2KLimited evidenceRange driven by assumption, not data
Babacar Mbengue20.7%$11K$2K to $60K5.2%$10K to $14K$2KLimited evidenceRange driven by assumption, not data
Kernan Bundy5.0%$2K$1K to $5K0.9%$2K in all four$2KFloor only: below 300 possessions, no value estimateRange driven by assumption, not data
Team Pool—$205K$75K to $525K100%$185K to $250K—

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 Missouri-Kansas City (NCAA Division I without football)
MeasureSchool-Reported AmountNote
Men's basketball revenue$2,590,772Equals expenses (budget identity)
Men's basketball expenses$2,590,772
Athletics department expenses$17,154,796
Athletics department revenue$17,226,574

Team Totalsβ

Season per game, 28 games, 2,009 possessions. Observed box-score sums, unadjusted. Definitions

Team and opponent season totals
StatisticTeamOpponents
Points67.084.8
Field goals made24.530.8
Field goals attempted60.563.0
3-pointers made6.39.2
3-pointers attempted22.324.5
Free throws made11.713.9
Free throws attempted17.619.8
Offensive rebounds10.212.4
Defensive rebounds22.028.4
Total rebounds32.240.8
Assists11.316.1
Blocks3.23.6
Turnovers13.011.8
StealsNo team figure. Players sum to 170.
Personal foulsNo team figure. Players sum to 452.
Minutes (derived)200.9not 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
PointsResidual shown1,8761,850+26±9.40
Field goals madeResidual shown686678+8±3.40
Field goals attemptedResidual shown1,6931,672+21±8.50
3-pointers madeReconciled177175+2±2.00
3-pointers attemptedResidual shown623615+8±3.10
Free throws madeResidual shown327319+8±2.00
Free throws attemptedResidual shown494481+13±2.50
Offensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Defensive reboundsNo player splitnot publishednot publishednot publishednot publishednot published
Total reboundsResidual shown902796+106±72.20
AssistsResidual shown317312+5±2.00
BlocksReconciled8988+1±2.00
TurnoversResidual shown365343+22±10.90
StealsNo team figurenot published170not publishednot publishednot published
Personal foulsNo team figurenot published452not publishednot publishednot published
Minutes (derived)Residual shown5,6255,497+128.3±112.50

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
Jayson Petty75.9%-1.5range -2.4 to -0.3Sufficient evidence
CJ Evans71.1%-2.7range -3.5 to -1.7Sufficient evidence
Karmello Branch70.4%-2.4range -3.1 to -1.5Sufficient evidence
Jerome Palm61.0%-1.8range -2.3 to -1.0Sufficient evidence
Chris Dockery56.8%-1.6range -2.2 to -0.8Sufficient evidence
Kasheem Grady II54.5%-3.3range -4.4 to -2.0Sufficient evidence
Addarin Scott30.0%-2.9range -4.1 to -1.6Limited evidence
Trey Booker-Lowery27.9%-1.4range -2.0 to -0.7Limited evidence
Jamaria Clark26.7%-1.3range -2.1 to -0.6Limited evidence
Babacar Mbengue20.7%-1.1range -1.7 to -0.3Limited evidence
Kernan Bundy5.0%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
+7.3range +6.4 to +8.4Limited evidence

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

10 valued players hold 99.0% of on-court time. 1 without a value (under 300 possessions) holds 1.0%, counted at replacement level -9.5. Limited-evidence players hold 21.1%.

NIL Methodology · Scheduling and Model-Implied Value