Bellarmine logo

Bellarmine

13-19
GAME THAT MATTERSAT
22.0%Bellarmine
78.0%Queens University
MMH WIN PROBABILITY
MODEL SPREADQueens University -8.8
PROJECTED TOTAL170.6
MODEL MONEYLINEQueens University -355
Queens University logo

Queens University

21-14
MMH MODEL PROJECTION
Projected ScoreBellarmine 81
Projected Total170.6
Projected ScoreQueens University 90

Team Comparison

44.9MMH Power Index51.7
119.6Offensive Efficiency118.4
122.1Defensive Efficiency117.0
-2.5Net Efficiency1.4
-2.8Strength of Schedule0.1
0.3Last 10 Net Efficiency1.5
66.9Tempo71.4
60.0%Effective FG%56.6%
15.3%Turnover Rate14.8%
22.7%Offensive Rebound %29.6%
35.3%Free Throw Rate37.6%
-1.7Average Margin0.9
MMH GAME INTELLIGENCE
MODEL READ

Queens University HAS THE EDGE

WIN PROBABILITY78.0%
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
Bellarmine logo
Bellarmine
76—98
Queens University logo
Queens University
Queens University by 22 • 71.6 estimated possessions

Team Stats

BellarmineTEAM STATQueens University
25-48FG33-67
52.0%FG%49.0%
9-203PT24-54
45.0%3PT%44.0%
17-25FT8-13
68.0%FT%62.0%
27Rebounds40
3Offensive Rebounds13
11Assists27
14Turnovers12
1Steals7
—Blocks3
17Fouls23

Player Box Score

Bellarmine
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Jack KarasinskiF327-125-55-931000024
Brian WaddellF337-111-30-051100015
Kenyon GoodinG303-52-33-461000011
Tyler DoyleG233-51-23-431000010
Michael Wilson Jr.F182-40-11-22200005
Myles WatkinsG110-00-03-41100003
Sam DonaldF161-40-20-02000002
Grant WhitakerG61-20-10-00000002
Grant NealG41-10-00-00000002
Tommy ClarkG20-00-02-20100002
Darrius BoldenG130-20-10-01300000
Donovan HunterF90-20-20-00000000
Jacob WasslerC30-00-00-01000000
Queens University
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Chris AshbyG3211-2111-201-212100034
Carson SchwiegerF316-125-110-151000017
Jordan WatfordG193-52-44-418000012
Yoav BermanG244-103-80-076000011
Avantae ParkerF223-31-12-38112009
Nasir MannG303-81-51-310820008
Maban JabrielF181-31-20-02010003
Gus LarsonF101-10-00-01120002
Kam ClarkF71-30-20-01001002
Isaiah HenryG40-10-10-00000000
Reid CelestinG20-00-00-00000000
Tyler CriderG10-00-00-00000000

Advanced Game Stats

71.6Possessions71.6
106.1Offensive Efficiency136.9
136.9Defensive Efficiency106.1
-30.7Net Efficiency30.7
61.5%Effective FG%67.2%
63.5%True Shooting %67.0%
19.8%Turnover Rate16.6%
52.1%Free Throw Rate19.4%
41.7%3-Point Rate80.6%
0.79Assist / Turnover2.25
Game Summary
Queens University won by 22 points. The game played at approximately 71.6 possessions. The largest advanced-stat separations came in Net Efficiency, Free Throw Rate, 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.