Cornell

15-13

GAME THAT MATTERSAT

85.4%Cornell

14.6%Bucknell

MMH WIN PROBABILITY

MODEL SPREADCornell -10.0

PROJECTED TOTAL161.3

MODEL MONEYLINECornell -585

Bucknell

10-23

MMH MODEL PROJECTION

Projected ScoreCornell 86

Projected Total161.3

Projected ScoreBucknell 76

Team Comparison

CornellMetricBucknell

56.1MMH Power Index35.7

121.5Offensive Efficiency99.5

114.6Defensive Efficiency112.8

6.9Net Efficiency-13.3

-1.1Strength of Schedule2.0

7.6Last 10 Net Efficiency-11.5

72.8Tempo67.7

60.1%Effective FG%48.4%

16.0%Turnover Rate19.0%

31.1%Offensive Rebound %26.6%

29.7%Free Throw Rate30.7%

5.1Average Margin-8.9

MMH GAME INTELLIGENCE

MODEL READ

Cornell HAS THE EDGE

WIN PROBABILITY85.4%

STATISTICAL ADVANTAGE

8–3

MMH comparison metrics

WHERE THE EDGE COMES FROMCornell holds the advantage in MMH Power Index (56.1–35.7), offensive efficiency (121.5–99.5), net efficiency (6.9–-13.3), recent form (7.6–-11.5).

Bucknell COUNTERS WITHdefensive efficiency (112.8–114.6), strength of schedule (2.0–-1.1), free throw rate (30.7–29.7).

Final

Cornell

101—72

Bucknell

Cornell by 29 • 73.9 estimated possessions

Team Stats

CornellTEAM STATBucknell

37-55FG23-60

67.0%FG%38.0%

20-323PT7-26

63.0%3PT%27.0%

7-9FT19-26

78.0%FT%73.0%

32Rebounds26

4Offensive Rebounds13

30Assists11

16Turnovers17

9Steals8

3Blocks1

21Fouls14

Player Box Score

Cornell

Player	Pos	Min	FG	3PT	FT	REB	AST	STL	BLK	PTS
Cooper Noard	G	20	6-10	5-6	0-0	2	2	0	0	17
Jacob Beccles	G	18	5-6	2-2	1-2	1	1	2	0	13
Jake Fiegen	G	18	4-7	3-6	0-0	5	2	0	1	11
Corbin Zentner	G	14	4-6	3-5	0-0	2	1	0	0	11
Gioacchino Panzini	F	17	3-3	2-2	2-2	4	1	0	0	10
Anthony Nimani	G	15	4-4	2-2	0-0	0	2	2	0	10
DaMaryon Fishburn	G	15	3-3	0-0	2-2	3	1	2	0	8
Adam Hinton	G	19	2-4	1-3	1-2	1	3	2	0	6
DJ Nix	F	18	2-5	1-3	0-0	3	4	0	0	5
Josh Baldwin	G	14	2-3	0-1	1-1	2	6	0	1	5
Ian Imegwu	F	6	1-1	1-1	0-0	0	4	0	0	3
AJ LaBeau	F	3	1-1	0-0	0-0	1	0	0	1	2
Kaspar Sepp	F	11	0-1	0-0	0-0	6	2	1	0	0
Mateen Rafiq	G	8	0-1	0-1	0-0	1	0	0	0	0
Jax Abalos	F	4	0-0	0-0	0-0	0	1	0	0	0

Bucknell

Player	Pos	Min	FG	3PT	FT	REB	AST	STL	BLK	PTS
Aleksander Pachucki	G	20	5-8	5-8	2-2	1	0	0	0	17
Amon Dörries	C	28	5-11	0-4	4-6	4	0	1	0	14
Quin Berger	G	23	4-8	1-4	0-0	1	1	0	0	9
Josh Fulton	G	21	1-1	0-0	6-7	5	3	3	0	8
Jayden Williams	G	24	2-11	1-4	2-2	1	3	0	0	7
Grgur Brcic	C	17	3-3	0-0	0-0	7	1	0	1	6
Pat Curtin	G	9	2-5	0-2	1-2	0	0	2	0	5
Patrick O'Brien	F	9	1-2	0-1	2-3	0	0	0	0	4
Jacob Meachem	G	20	0-5	0-1	2-2	0	2	2	0	2
Achile Spadone	G	22	0-5	0-2	0-0	4	1	0	0	0
Matt Lange	G	5	0-0	0-0	0-2	0	0	0	0	0
Kellen Welch	F	2	0-1	0-0	0-0	0	0	0	0	0

Advanced Game Stats

73.9Possessions73.9

136.7Offensive Efficiency97.4

97.4Defensive Efficiency136.7

39.2Net Efficiency-39.2

85.5%Effective FG%44.2%

85.2%True Shooting %49.8%

22.4%Turnover Rate22.3%

16.4%Free Throw Rate43.3%

58.2%3-Point Rate43.3%

1.88Assist / Turnover0.65

Game Summary

Cornell won by 29 points. The game played at approximately 73.9 possessions. The largest advanced-stat separations came in Net Efficiency, Effective FG%, 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.