Siena logo

Siena

23-12
GAME THAT MATTERSAT
45.1%Siena
54.9%Marist
MMH WIN PROBABILITY
MODEL SPREADMarist -3.0
PROJECTED TOTAL133.2
MODEL MONEYLINEMarist -122
Marist logo

Marist

19-12
MMH MODEL PROJECTION
Projected ScoreSiena 65
Projected Total133.2
Projected ScoreMarist 68

Team Comparison

53.8MMH Power Index51
109.2Offensive Efficiency104.3
102.2Defensive Efficiency95.6
7.0Net Efficiency8.7
-0.5Strength of Schedule-3.2
3.0Last 10 Net Efficiency2.9
64.4Tempo66.8
50.7%Effective FG%49.9%
15.8%Turnover Rate16.8%
31.4%Offensive Rebound %29.4%
34.9%Free Throw Rate26.1%
4.5Average Margin5.8
MMH GAME INTELLIGENCE
MODEL READ

Siena HAS THE EDGE

WIN PROBABILITY54.9%
STATISTICAL ADVANTAGE
83
MMH comparison metrics
WHERE THE EDGE COMES FROMSiena holds the advantage in MMH Power Index (53.8–51.0), offensive efficiency (109.2–104.3), strength of schedule (-0.5–-3.2), recent form (3.0–2.9).
Marist COUNTERS WITHdefensive efficiency (95.6–102.2), net efficiency (8.7–7.0), average scoring margin (5.8–4.5).
Final
Siena logo
Siena
6763
Marist logo
Marist
Siena by 465.3 estimated possessions

Team Stats

SienaTEAM STATMarist
27-49FG21-61
55.0%FG%34.0%
2-113PT5-23
18.0%3PT%22.0%
11-17FT16-22
65.0%FT%73.0%
36Rebounds34
5Offensive Rebounds13
11Assists11
13Turnovers7
3Steals8
5Blocks3
18Fouls18

Player Box Score

Siena
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Antonio ChandlerF299-100-01-150110019
Justice ShoatsG407-140-03-376100017
Gavin DotyG397-120-31-171000015
Francis FolefacF252-40-04-84304008
Brendan CoyleF312-72-60-27000006
Christian JonesG110-10-12-23010002
Isaiah HendersonF190-10-10-00100000
Riley MulveyC60-00-00-00000000
Marist
PlayerPosMinFG3PTFTREBASTSTLBLKTOPFPTS
Justin MenardG375-162-75-636100017
Jason SchofieldC255-90-03-471110013
Jaden DaughtryF244-70-12-452010010
Myles ParkerF222-52-31-25010007
Jadin Collins-RobertsG302-50-32-26130006
Martin KawaG141-21-23-40010006
Rhyjon BlackwellG331-110-40-01000002
Parby KabambaF131-60-30-02111002
Jordan GabrielC20-00-00-00000000

Advanced Game Stats

65.3Possessions65.3
102.6Offensive Efficiency96.5
96.5Defensive Efficiency102.6
6.1Net Efficiency-6.1
57.1%Effective FG%38.5%
58.7%True Shooting %44.1%
20.0%Turnover Rate10.7%
34.7%Free Throw Rate36.1%
22.4%3-Point Rate37.7%
0.85Assist / Turnover1.57
Game Summary
Siena won by 4 points. The game played at approximately 65.3 possessions. The largest advanced-stat separations came in Effective FG%, True Shooting %, Net 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.