Queens University

21-14

GAME THAT MATTERSAT

56.2%Queens University

43.8%Bellarmine

MMH WIN PROBABILITY

MODEL SPREADQueens University -0.7

PROJECTED TOTAL170.6

MODEL MONEYLINEQueens University -128

Bellarmine

13-19

MMH MODEL PROJECTION

Projected ScoreQueens University 86

Projected Total170.6

Projected ScoreBellarmine 85

Team Comparison

Queens UniversityMetricBellarmine

51.7MMH Power Index44.9

118.4Offensive Efficiency119.6

117.0Defensive Efficiency122.1

1.4Net Efficiency-2.5

0.1Strength of Schedule-2.8

1.5Last 10 Net Efficiency0.3

71.4Tempo66.9

56.6%Effective FG%60.0%

14.8%Turnover Rate15.3%

29.6%Offensive Rebound %22.7%

37.6%Free Throw Rate35.3%

0.9Average Margin-1.7

MMH GAME INTELLIGENCE

MODEL READ

Queens University HAS THE EDGE

WIN PROBABILITY56.2%

STATISTICAL ADVANTAGE

9–2

MMH comparison metrics

WHERE THE EDGE COMES FROMQueens University holds the advantage in MMH Power Index (51.7–44.9), defensive efficiency (117.0–122.1), net efficiency (1.4–-2.5), strength of schedule (0.1–-2.8).

Bellarmine COUNTERS WITHoffensive efficiency (119.6–118.4), shooting efficiency (60.0–56.6).

Final

Queens University

92—87

Bellarmine

Queens University by 5 • 75.6 estimated possessions

Team Stats

Queens UniversityTEAM STATBellarmine

30-52FG31-65

58.0%FG%48.0%

9-223PT9-24

41.0%3PT%38.0%

23-31FT16-22

74.0%FT%73.0%

30Rebounds30

4Offensive Rebounds9

19Assists14

13Turnovers9

5Steals12

5Blocks4

19Fouls24

Player Box Score

Queens University

Player	Pos	Min	FG	3PT	FT	REB	AST	STL	BLK	PTS
Chris Ashby	G	39	7-13	7-13	9-10	5	0	1	0	30
Nasir Mann	G	22	6-7	2-2	5-6	7	2	1	2	19
Leo Colimerio	Forward	35	5-6	0-1	1-2	7	6	1	0	11
Bryce Cash	Guard	36	4-6	0-0	0-4	2	6	0	0	8
Kalib Mathews	Guard	34	3-7	0-1	2-2	3	3	1	1	8
Malcolm Wilson	Forward	26	4-5	0-0	0-0	2	0	0	2	8
Yoav Berman	G	15	1-5	0-3	2-2	2	2	1	0	4
Maban Jabriel	F	14	0-3	0-2	2-2	2	0	0	0	2
Asjon Anderson	G	4	0-0	0-0	2-3	0	0	0	0	2

Bellarmine

Player	Pos	Min	FG	3PT	FT	REB	AST	STL	BLK	PTS
Kenyon Goodin	G	40	8-9	5-5	7-7	4	2	3	0	28
Billy Smith	G	38	8-24	3-12	2-2	3	4	6	0	21
Tyler Doyle	G	39	9-16	0-0	1-5	8	3	1	2	19
Landin Hacker	Guard	29	2-4	1-3	4-4	1	1	0	0	9
Myles Watkins	G	6	2-2	0-0	0-0	2	0	0	1	4
Curt Hopf	Forward	27	0-2	0-1	2-4	3	1	1	0	2
AJ Lux	Guard	26	1-5	0-3	0-0	5	1	0	1	2
Grant Whitaker	G	13	1-2	0-0	0-0	0	2	0	0	2
Dezmond McKinney	Guard	5	0-0	0-0	0-0	1	0	1	0	0
Luke Anderson	F	2	0-1	0-0	0-0	0	0	0	0	0

Advanced Game Stats

75.6Possessions75.6

121.7Offensive Efficiency115.1

115.1Defensive Efficiency121.7

6.6Net Efficiency-6.6

66.3%Effective FG%54.6%

68.9%True Shooting %57.7%

17.2%Turnover Rate11.9%

59.6%Free Throw Rate33.8%

42.3%3-Point Rate36.9%

1.46Assist / Turnover1.56

Game Summary

Queens University won by 5 points. The game played at approximately 75.6 possessions. The largest advanced-stat separations came in Free Throw Rate, Net Efficiency, Effective FG%.

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.