Chicago State logo

Chicago State

7-25
GAME THAT MATTERSAT
13.2%Chicago State
86.8%DePaul
MMH WIN PROBABILITY
MODEL SPREADDePaul -14.0
PROJECTED TOTAL140.6
MODEL MONEYLINEDePaul -658
DePaul logo

DePaul

16-16
MMH MODEL PROJECTION
Projected ScoreChicago State 63
Projected Total140.6
Projected ScoreDePaul 77

Team Comparison

36.1MMH Power Index48.4
99.4Offensive Efficiency103.7
114.9Defensive Efficiency102.7
-15.5Net Efficiency1.0
0.5Strength of Schedule2.0
-4.3Last 10 Net Efficiency-6.6
66.2Tempo67.7
45.6%Effective FG%49.9%
15.8%Turnover Rate17.8%
29.1%Offensive Rebound %29.7%
30.7%Free Throw Rate36.8%
-10.3Average Margin0.7
MMH GAME INTELLIGENCE
MODEL READ

DePaul HAS THE EDGE

WIN PROBABILITY86.8%
STATISTICAL ADVANTAGE
9–2
MMH comparison metrics
WHERE THE EDGE COMES FROMDePaul holds the advantage in MMH Power Index (48.4–36.1), offensive efficiency (103.7–99.4), defensive efficiency (102.7–114.9), net efficiency (1.0–-15.5).
Chicago State COUNTERS WITHrecent form (-4.3–-6.6), ball security (15.8–17.8).
Final
Chicago State logo
Chicago State
62—92
DePaul logo
DePaul
DePaul by 30 • 72.8 estimated possessions

Team Stats

Chicago StateTEAM STATDePaul
21-56FG30-60
38.0%FG%50.0%
4-163PT8-25
25.0%3PT%32.0%
16-23FT24-35
70.0%FT%69.0%
34Rebounds43
11Offensive Rebounds16
8Assists21
16Turnovers13
8Steals12
3Blocks7
22Fouls18

Player Box Score

Chicago State
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Marcus TankersleyG336-110-14-490000016
Stephen ByardF155-81-15-610010016
Doyel Cockrill IIIG273-92-52-523000010
Braelon BushG252-81-51-24320006
CJ RayF262-70-20-04000004
Dailliss CoxF122-40-10-03010004
Lionel Larvadain IIIG271-50-11-21211003
Malek RobinsonG60-00-02-21020002
Daniel ZatsepinF200-30-01-23010001
Corey SandsG50-10-00-00010000
Joseph OwensF40-00-00-00001000
DePaul
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Layden BlockerG265-101-55-524200016
NJ BensonF217-80-02-3101020016
CJ GunnG265-121-61-134110012
Théo Pierre-JustinF145-72-20-050100012
Kaleb BanksF191-40-16-94310008
Brandon MaclinG282-51-22-43651007
Ilija MilijaševicG122-32-30-01010006
Jeremy LorenzF140-00-04-62201004
Kruz McClureG121-41-41-31010004
Khaman MakerC121-40-01-23002003
RJ SmithG141-30-20-03100002
Nate KasherG20-00-02-22000002

Advanced Game Stats

72.8Possessions72.8
85.2Offensive Efficiency126.4
126.4Defensive Efficiency85.2
-41.2Net Efficiency41.2
41.1%Effective FG%56.7%
46.3%True Shooting %60.0%
22.2%Turnover Rate17.7%
41.1%Free Throw Rate58.3%
28.6%3-Point Rate41.7%
0.50Assist / Turnover1.62
Game Summary
DePaul won by 30 points. The game played at approximately 72.8 possessions. The largest advanced-stat separations came in Net Efficiency, Offensive Efficiency, Defensive Efficiency.

Advanced game metrics are calculated by Mid-Major Hoops from team box-score totals. Possessions are estimated. Highlighted advanced values indicate the stronger result for that metric; lower is better for defensive efficiency and turnover rate.