Queens University logo

Queens University

21-14
GAME THAT MATTERSAT
79.6%Queens University
20.4%North Alabama
MMH WIN PROBABILITY
MODEL SPREADQueens University -7.1
PROJECTED TOTAL161.2
MODEL MONEYLINEQueens University -390
North Alabama logo

North Alabama

9-21
MMH MODEL PROJECTION
Projected ScoreQueens University 84
Projected Total161.2
Projected ScoreNorth Alabama 77

Team Comparison

51.7MMH Power Index34.9
118.4Offensive Efficiency104.4
117.0Defensive Efficiency116.7
1.4Net Efficiency-12.3
0.1Strength of Schedule-1.2
1.5Last 10 Net Efficiency-16.3
71.4Tempo66.5
56.6%Effective FG%48.9%
14.8%Turnover Rate17.2%
29.6%Offensive Rebound %31.5%
37.6%Free Throw Rate39.1%
0.9Average Margin-8.2
MMH GAME INTELLIGENCE
MODEL READ

Queens University HAS THE EDGE

WIN PROBABILITY79.6%
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
Queens University logo
Queens University
85—78
North Alabama logo
North Alabama
Queens University by 7 • 67.4 estimated possessions

Team Stats

Queens UniversityTEAM STATNorth Alabama
26-49FG30-59
53.0%FG%51.0%
10-213PT8-18
48.0%3PT%44.0%
23-28FT10-20
82.0%FT%50.0%
27Rebounds33
4Offensive Rebounds11
15Assists10
9Turnovers10
6Steals5
5Blocks2
23Fouls21

Player Box Score

Queens University
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Yoav BermanG346-112-32-232000016
Maban JabrielF214-63-43-420110014
Carson SchwiegerF313-43-43-331110012
Jordan WatfordG193-60-15-725000011
Chris AshbyG322-82-74-433300010
Nasir MannG292-70-26-632100010
Avantae ParkerF194-50-00-06002008
Gus LarsonF132-20-00-21201004
Isaiah HenryG20-00-00-00000000
North Alabama
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Kevin de KovachichG328-134-63-423100023
Corneilous WilliamsF378-120-04-5111020020
Dallas HowellF325-103-61-243100014
Braylon PattonG265-111-31-622100012
Donte BacchusF383-80-21-33010007
Cortez Graham-HowardG201-30-10-01100002
King WalkerG80-10-00-02000000
Jamal AlbrittonC70-10-00-03010000

Advanced Game Stats

67.4Possessions67.4
126.1Offensive Efficiency115.7
115.7Defensive Efficiency126.1
10.4Net Efficiency-10.4
63.3%Effective FG%57.6%
68.2%True Shooting %56.9%
13.4%Turnover Rate14.8%
57.1%Free Throw Rate33.9%
42.9%3-Point Rate30.5%
1.67Assist / Turnover1.00
Game Summary
Queens University won by 7 points. The game played at approximately 67.4 possessions. The largest advanced-stat separations came in Free Throw Rate, Net Efficiency, True Shooting %.

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.