Siena logo

Siena

23-12
GAME THAT MATTERSAT
75.1%Siena
24.9%Manhattan
MMH WIN PROBABILITY
MODEL SPREADSiena -6.6
PROJECTED TOTAL145.1
MODEL MONEYLINESiena -302
Manhattan logo

Manhattan

12-20
MMH MODEL PROJECTION
Projected ScoreSiena 76
Projected Total145.1
Projected ScoreManhattan 69

Team Comparison

53.8MMH Power Index39.3
109.2Offensive Efficiency107.1
102.2Defensive Efficiency114.2
7.0Net Efficiency-7.1
-0.5Strength of Schedule-3.6
3.0Last 10 Net Efficiency-3.5
64.4Tempo69.1
50.7%Effective FG%48.5%
15.8%Turnover Rate15.4%
31.4%Offensive Rebound %29.8%
34.9%Free Throw Rate34.8%
4.5Average Margin-4.9
MMH GAME INTELLIGENCE
MODEL READ

Siena HAS THE EDGE

WIN PROBABILITY75.1%
STATISTICAL ADVANTAGE
10–1
MMH comparison metrics
WHERE THE EDGE COMES FROMSiena holds the advantage in MMH Power Index (53.8–39.3), offensive efficiency (109.2–107.1), defensive efficiency (102.2–114.2), net efficiency (7.0–-7.1).
Manhattan COUNTERS WITHball security (15.4–15.8).
Final
Siena logo
Siena
74—59
Manhattan logo
Manhattan
Siena by 15 • 62.6 estimated possessions

Team Stats

SienaTEAM STATManhattan
30-57FG22-59
53.0%FG%37.0%
13-243PT7-28
54.0%3PT%25.0%
1-3FT8-12
33.0%FT%67.0%
37Rebounds28
9Offensive Rebounds9
22Assists13
12Turnovers8
5Steals8
3Blocks2
14Fouls13

Player Box Score

Siena
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Brendan CoyleF388-147-130-0103000023
Justice ShoatsG407-182-30-145200016
Gavin DotyG357-101-20-065200015
Christian JonesG344-83-51-221000012
Riley MulveyC222-40-10-06503004
Francis FolefacF171-20-00-06210002
Antonio ChandlerF131-10-00-02100002
Isaiah HendersonF10-00-00-00000000
Manhattan
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Terrance JonesG277-113-70-022200017
Quron ElliottG285-71-24-440000015
Anthony IsaacF343-70-13-48311009
Jaden WinstonG334-151-60-02440009
Fraser RoxburghF282-51-30-23101005
Devin DinkinsG281-61-40-01210003
Marko LjubicicF150-60-31-26100001
Asier MiguelG40-10-10-01000000
Brett RumpelG30-10-10-00000000

Advanced Game Stats

62.6Possessions62.6
118.2Offensive Efficiency94.2
94.2Defensive Efficiency118.2
24.0Net Efficiency-24.0
64.0%Effective FG%43.2%
63.3%True Shooting %45.6%
19.5%Turnover Rate12.6%
5.3%Free Throw Rate20.3%
42.1%3-Point Rate47.5%
1.83Assist / Turnover1.63
Game Summary
Siena won by 15 points. The game played at approximately 62.6 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.