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Model Predictions

Model Loyola Marymount Lions San Francisco Dons Spread Result
Elo 13.1% 86.9% - โœ“
Bradley-Terry 31.4% 68.6% - โœ“
Margin 35.0% 65.0% - โœ“
Pythagorean 49.7% 50.3% - โœ“
Adjusted Efficiency 36.4% 63.6% - โœ“
Log Adjusted 36.5% 63.5% - โœ“
Points Off/Def 34.2% 65.8% - โœ“

Actual: San Francisco Dons +2 (77-75). Win probabilities: out-of-sample forecasts from the weekly fit before the game, the same forecasts as the model pages.

RAPM GS requires a reviewed game-score run and a qualified player and game match. A dash means the score is unavailable.

Loyola Marymount Lions

Player MIN FG 3PT FT REB AST STL BLK TO PTS Nums RAPM GS
Drew Viney * 37 7-14 2-3 6-6 5 3 0 1 3 22 14 -0.4
Vernon Teel * 34 7-17 1-2 6-6 8 3 0 1 2 21 14 +1.6
Anthony Ireland * 34 3-12 2-4 4-4 6 3 1 0 0 12 10 -11.1
Ayodeji Egbeyemi * 34 2-8 0-4 3-3 7 3 1 0 2 7 8 -5.5
Godwin Okonji * 18 1-5 0-0 0-0 7 0 1 1 2 2 4 -7.8
Ashley Hamilton 23 2-5 0-1 2-2 2 0 0 1 3 6 1 -0.8
LaRon Armstead 11 0-2 0-1 0-0 2 0 0 0 2 0 -2 -4.4
Tim Diederichs 9 2-3 0-0 1-2 1 0 0 0 0 5 3 +12.2

San Francisco Dons

Player MIN FG 3PT FT REB AST STL BLK TO PTS Nums RAPM GS
Angelo Caloiaro * 37 4-10 3-8 2-2 6 2 1 1 0 13 13 -1.1
Rashad Green * 33 4-11 0-2 2-6 6 3 1 0 3 10 6 +0.7
Cody Doolin * 30 1-1 1-1 3-4 5 8 2 0 2 6 18 +4.3
Michael Williams * 26 3-10 1-7 2-2 6 1 1 0 1 9 6 +0.8
Moustapha Diarra * 26 7-13 0-0 2-4 7 0 0 1 3 16 8 -8.0
Marko Petrovic 25 4-10 1-6 2-2 2 1 0 1 1 11 4 +4.8
Perris Blackwell 16 3-6 0-0 6-6 6 0 0 2 2 12 12 +11.2
Cole Dickerson 7 0-1 0-1 0-0 1 0 1 2 0 0 3 +0.5

* = starter