Bellarmine logo

Bellarmine

13-19
GAME THAT MATTERSAT
22.0%Bellarmine
78.0%Queens University
MMH WIN PROBABILITY
MODEL SPREADQueens University -8.9
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
75—85
Queens University logo
Queens University
Queens University by 10 • 70.7 estimated possessions

Team Stats

BellarmineTEAM STATQueens University
30-62FG26-51
48.0%FG%51.0%
5-173PT6-21
29.0%3PT%29.0%
10-14FT27-33
71.0%FT%82.0%
35Rebounds28
9Offensive Rebounds2
10Assists6
12Turnovers5
4Steals5
1Blocks1
21Fouls17

Player Box Score

Bellarmine
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Bash WielandGuard346-120-15-861300017
Garrett TiptonGuard286-143-71-170000016
Langdon HattonCenter386-111-22-242000015
Dezmond McKinneyGuard236-70-01-223100013
Peter SuderG355-81-21-193010012
Ben JohnsonG211-40-10-00000002
Billy SmithG100-00-00-01100000
Landin HackerGuard90-60-40-01000000
Eli RobertsForward20-00-00-02000000
Queens University
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
AJ McKeeGuard336-111-411-1331100024
Deyton AlburyG304-92-39-1163000019
Bryce CashGuard295-70-13-421200013
Chris AshbyG292-72-72-30000008
BJ McLaurinForward283-60-22-28020008
Jacobi SebockGuard152-50-10-03100004
Jaxon PollardF122-40-20-01000004
Kalib MathewsGuard101-11-10-00000003
Malcolm WilsonForward141-10-00-03001002

Advanced Game Stats

70.7Possessions70.7
106.1Offensive Efficiency120.2
120.2Defensive Efficiency106.1
-14.1Net Efficiency14.1
52.4%Effective FG%56.9%
54.6%True Shooting %63.7%
16.7%Turnover Rate7.2%
22.6%Free Throw Rate64.7%
27.4%3-Point Rate41.2%
0.83Assist / Turnover1.20
Game Summary
Queens University won by 10 points. The game played at approximately 70.7 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.