North Alabama

9-21

GAME THAT MATTERSAT

8.5%North Alabama

91.5%Queens University

MMH WIN PROBABILITY

MODEL SPREADQueens University -15.3

PROJECTED TOTAL161.2

MODEL MONEYLINEQueens University -1076

Queens University

21-14

MMH MODEL PROJECTION

Projected ScoreNorth Alabama 73

Projected Total161.2

Projected ScoreQueens University 88

Team Comparison

North AlabamaMetricQueens University

34.9MMH Power Index51.7

104.4Offensive Efficiency118.4

116.7Defensive Efficiency117.0

-12.3Net Efficiency1.4

-1.2Strength of Schedule0.1

-16.3Last 10 Net Efficiency1.5

66.5Tempo71.4

48.9%Effective FG%56.6%

17.2%Turnover Rate14.8%

31.5%Offensive Rebound %29.6%

39.1%Free Throw Rate37.6%

-8.2Average Margin0.9

MMH GAME INTELLIGENCE

MODEL READ

Queens University HAS THE EDGE

WIN PROBABILITY91.5%

STATISTICAL ADVANTAGE

8–3

MMH comparison metrics

WHERE THE EDGE COMES FROMQueens University holds the advantage in MMH Power Index (51.7–34.9), offensive efficiency (118.4–104.4), net efficiency (1.4–-12.3), strength of schedule (0.1–-1.2).

North Alabama COUNTERS WITHdefensive efficiency (116.7–117.0), offensive rebounding (31.5–29.6), free throw rate (39.1–37.6).

Final

North Alabama

62—87

Queens University

Queens University by 25 • 67.7 estimated possessions

Team Stats

North AlabamaTEAM STATQueens University

21-54FG30-56

39.0%FG%54.0%

4-163PT3-15

25.0%3PT%20.0%

16-22FT24-25

73.0%FT%96.0%

26Rebounds35

12Offensive Rebounds12

6Assists11

16Turnovers11

6Steals8

8Blocks5

19Fouls15

Player Box Score

North Alabama

Player	Pos	Min	FG	3PT	FT	REB	AST	STL	BLK	PTS
Kevin de Kovachich	G	35	2-9	1-4	10-10	2	0	1	1	15
Corneilous Williams	F	32	5-13	0-0	2-2	5	1	0	1	12
Canin Jefferson	G	18	3-6	2-4	3-4	1	1	1	1	11
Braylon Patton	G	34	5-9	0-1	0-0	4	3	1	0	10
Dallas Howell	F	31	1-8	1-6	1-2	3	1	0	1	4
Jamal Albritton	C	16	2-3	0-0	0-2	3	0	0	1	4
Donte Bacchus	F	15	2-4	0-1	0-2	2	0	1	1	4
Cortez Graham-Howard	G	10	1-1	0-0	0-0	1	0	1	1	2
DarKaun King	F	5	0-0	0-0	0-0	0	0	0	1	0
King Walker	G	4	0-1	0-0	0-0	1	0	1	0	0

Queens University

Player	Pos	Min	FG	3PT	FT	REB	AST	STL	BLK	PTS
Jordan Watford	G	21	7-10	1-1	8-8	3	2	1	0	23
Yoav Berman	G	30	8-16	1-4	3-3	5	2	3	0	20
Avantae Parker	F	27	7-8	0-0	4-4	9	0	0	3	18
Carson Schwieger	F	25	4-7	1-4	2-2	3	0	0	0	11
Nasir Mann	G	30	2-5	0-2	6-6	2	3	1	0	10
Gus Larson	F	11	1-2	0-0	1-2	3	0	2	0	3
Isaiah Henry	G	4	1-1	0-0	0-0	1	1	0	0	2
Chris Ashby	G	28	0-6	0-4	0-0	3	3	0	0	0
Maban Jabriel	F	14	0-1	0-0	0-0	3	0	1	2	0
Kam Clark	F	4	0-0	0-0	0-0	1	0	0	0	0
Reid Celestin	G	4	0-0	0-0	0-0	0	0	0	0	0
Tyler Crider	G	2	0-0	0-0	0-0	0	0	0	0	0

Advanced Game Stats

67.7Possessions67.7

91.6Offensive Efficiency128.5

128.5Defensive Efficiency91.6

-36.9Net Efficiency36.9

42.6%Effective FG%56.3%

48.1%True Shooting %64.1%

23.4%Turnover Rate16.4%

40.7%Free Throw Rate44.6%

29.6%3-Point Rate26.8%

0.38Assist / Turnover1.00

Game Summary

Queens University won by 25 points. The game played at approximately 67.7 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.