Saint Mary's Gaels
2018 Team Stats (2 games)
76.5
PPG
82.0
Opp
-5.5
Margin
44.2%
FG%
27.3%
3P%
73.1%
FT%
43.0
RPG
15.5
APG
23.5
TO
94.9
Pace
Model Outputs
2017-2018
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1037 (#198) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1216 (#96) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.1 (#110) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.551 (#190) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-10 | @ | California Golden Bears | L | 80 - 87 |
| 2018-03-02 | vs | Pacific Tigers | L | 73 - 77 |
2018 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Beck
|
G | 2 | 35.5 | 20.5 | 8.5 | 3.5 | 1.0 | 1.0 | 3.0 | 11.0 | 20.5 | - | - | - | 54.5 | 50.0 | 73.7 | - | 67.5 | 61.4 |
S. Raggio
|
F | 2 | 35.0 | 18.0 | 12.5 | 3.0 | 1.5 | 0.5 | 6.5 | 13.0 | 16.0 | - | - | - | 53.8 | 0.0 | 80.0 | - | 59.2 | 53.8 |
M. McKay
|
F | 2 | 20.5 | 17.0 | 4.5 | 0.0 | 0.5 | 0.5 | 2.5 | 10.5 | 9.5 | - | - | - | 66.7 | 0 | 66.7 | - | 68.1 | 66.7 |
J. Forcadilla
|
G | 2 | 34.0 | 9.0 | 4.0 | 4.5 | 0.0 | 0.0 | 4.5 | 10.0 | 3.0 | - | - | - | 25.0 | 22.2 | 75.0 | - | 38.3 | 30.0 |
M. Holland
|
G | 2 | 34.0 | 4.0 | 4.0 | 2.5 | 0.5 | 0.0 | 2.0 | 7.0 | 2.0 | - | - | - | 21.4 | 12.5 | 50.0 | - | 26.9 | 25.0 |
J. Boesel
|
G | 1 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
E. Codding
|
G | 2 | 14.5 | 3.0 | 1.5 | 2.0 | 0.5 | 0.5 | 1.0 | 3.5 | 3.0 | - | - | - | 28.6 | 33.3 | 0 | - | 42.9 | 42.9 |
T. Moe
|
F | 1 | 18.0 | 2.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
J. Akaegbu-Cleveland
|
F | 2 | 8.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 2.5 | - | - | - | 25.0 | 0 | 100.0 | - | 41.0 | 25.0 |
C. Ferguson
|
F | 2 | 7.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -2.5 | - | - | - | 0.0 | 0.0 | 50.0 | - | 10.2 | 0.0 |
K. Rathbun
|
G | 2 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG