Queens University logo

Queens University

21-14
GAME THAT MATTERSAT
68.9%Queens University
31.1%Stetson
MMH WIN PROBABILITY
MODEL SPREADQueens University -4.0
PROJECTED TOTAL165.2
MODEL MONEYLINEQueens University -222
Stetson logo

Stetson

12-21
MMH MODEL PROJECTION
Projected ScoreQueens University 85
Projected Total165.2
Projected ScoreStetson 81

Team Comparison

51.7MMH Power Index40
118.4Offensive Efficiency107.2
117.0Defensive Efficiency115.9
1.4Net Efficiency-8.7
0.1Strength of Schedule-1.0
1.5Last 10 Net Efficiency-2.9
71.4Tempo68.7
56.6%Effective FG%53.8%
14.8%Turnover Rate18.3%
29.6%Offensive Rebound %28.1%
37.6%Free Throw Rate33.6%
0.9Average Margin-6.0
MMH GAME INTELLIGENCE
MODEL READ

Queens University HAS THE EDGE

WIN PROBABILITY68.9%
STATISTICAL ADVANTAGE
10–1
MMH comparison metrics
WHERE THE EDGE COMES FROMQueens University holds the advantage in MMH Power Index (51.7–40.0), offensive efficiency (118.4–107.2), net efficiency (1.4–-8.7), strength of schedule (0.1–-1.0).
Stetson COUNTERS WITHdefensive efficiency (115.9–117.0).
Final
Queens University logo
Queens University
87—81
Stetson logo
Stetson
Queens University by 6 • 69.6 estimated possessions

Team Stats

Queens UniversityTEAM STATStetson
32-66FG26-54
48.0%FG%48.0%
8-323PT8-22
25.0%3PT%36.0%
15-19FT21-34
79.0%FT%62.0%
35Rebounds34
12Offensive Rebounds12
21Assists16
7Turnovers11
6Steals5
2Blocks1
24Fouls17

Player Box Score

Queens University
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Nasir MannG349-131-31-2106200020
Jordan WatfordG224-80-16-855100014
Yoav BermanG324-101-63-335200012
Maban JabrielF195-81-41-244020012
Avantae ParkerF194-50-02-230100010
Chris AshbyG383-103-100-02000009
Carson SchwiegerF202-72-60-04000006
Gus LarsonF131-40-12-21100004
Kam ClarkF30-10-10-00000000
Stetson
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Jake JohnsonG395-94-85-643000019
Collin KuhlF205-70-06-1151000016
Ethan CopelandG385-142-83-431100015
Finley SheridanF315-102-52-372110014
Calvin Sirmans IIIG263-40-04-415200010
Matar DiopF101-20-01-44000003
Daniel MacgregorG181-30-00-23310002
Alex DoyleF121-30-10-03100002
Janusz RatowskiF30-20-00-00000000
J.R. LeonardG30-00-00-00000000

Advanced Game Stats

69.6Possessions69.6
125.0Offensive Efficiency116.4
116.4Defensive Efficiency125.0
8.6Net Efficiency-8.6
54.5%Effective FG%55.6%
58.0%True Shooting %57.7%
10.0%Turnover Rate15.9%
28.8%Free Throw Rate63.0%
48.5%3-Point Rate40.7%
3.00Assist / Turnover1.45
Game Summary
Queens University won by 6 points. The game played at approximately 69.6 possessions. The largest advanced-stat separations came in Free Throw Rate, Net Efficiency, Offensive 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.