Saint Mary's
2020 Team Stats (10 games)
68.6
PPG
67.6
Opp
+1.0
Margin
46.7%
FG%
39.6%
3P%
75.0%
FT%
29.9
RPG
10.5
APG
12.0
TO
72.5
Pace
Model Outputs
2019-2020
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 → | 1531 (#28) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1404 (#60) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.8 (#28) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.268 (#57) | NetEff -9.6 |
2020 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2019-11-05 | @ | Wisconsin Badgers | W | 65 - 63 |
| 2019-11-11 | vs | Winthrop Eagles | L | 59 - 61 |
| 2019-11-14 | vs | Long Beach State Beach | W | 81 - 63 |
| 2019-11-17 | vs | Cal Poly Mustangs | W | 79 - 48 |
| 2019-11-20 | @ | Fresno State Bulldogs | W | 68 - 58 |
| 2019-11-29 | vs | Utah State Aggies | W | 81 - 73 |
| 2020-02-08 | vs | Gonzaga Bulldogs | L | 60 - 90 |
| 2020-02-29 | @ | Gonzaga Bulldogs | L | 76 - 86 |
| 2020-03-09 | @ | BYU Cougars | W | 51 - 50 |
| 2020-03-10 | @ | Gonzaga Bulldogs | L | 66 - 84 |
2020 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Ford
|
G | 10 | 37.1 | 22.6 | 2.9 | 2.3 | 1.7 | 0.1 | 1.9 | 16.7 | 11.0 | -54 | -6.0 | -23.9 | 51.5 | 46.4 | 84.8 | -0.85 | 62.3 | 59.3 |
Malik Fitts
|
- | 10 | 32.8 | 13.9 | 6.2 | 1.0 | 1.0 | 0.4 | 2.0 | 11.3 | 9.2 | 28 | 2.8 | 7.3 | 43.4 | 36.8 | 75.0 | 0.33 | 53.9 | 49.6 |
M. Tass
|
F | 6 | 26.8 | 8.7 | 5.3 | 3.0 | 0.7 | 1.2 | 1.2 | 6.7 | 11.0 | - | - | - | 55.0 | 0 | 80.0 | - | 58.6 | 55.0 |
T. Krebs
|
G | 10 | 28.1 | 7.5 | 3.2 | 0.7 | 1.2 | 0.5 | 1.1 | 6.5 | 5.5 | - | - | - | 41.5 | 38.9 | 87.5 | - | 54.7 | 52.3 |
T. Kuhse
|
G | 9 | 26.9 | 6.1 | 3.1 | 3.6 | 1.3 | 0.0 | 1.6 | 4.9 | 7.7 | - | - | - | 43.2 | 50.0 | 61.1 | - | 53.0 | 50.0 |
J. Perry
|
C | 4 | 8.5 | 4.8 | 2.0 | 0.0 | 0.2 | 0.2 | 0.2 | 3.0 | 4.0 | - | - | - | 66.7 | 0.0 | 75.0 | - | 69.0 | 66.7 |
D. Fotu
|
F | 10 | 16.7 | 4.0 | 2.1 | 0.3 | 0.5 | 0.1 | 0.9 | 2.9 | 3.2 | - | - | - | 58.6 | 0.0 | 75.0 | - | 61.5 | 58.6 |
Alex Ducas
|
- | 9 | 14.7 | 3.2 | 2.3 | 0.2 | 0.6 | 0.0 | 0.8 | 2.0 | 3.6 | - | - | - | 50.0 | 53.8 | 66.7 | - | 70.3 | 69.4 |
A. Menzies
|
C | 7 | 3.9 | 1.7 | 0.9 | 0.1 | 0.0 | 0.1 | 0.4 | 1.0 | 1.4 | - | - | - | 71.4 | 0 | 40.0 | - | 65.2 | 71.4 |
K. Zoriks
|
G | 9 | 8.4 | 1.6 | 0.8 | 0.3 | 0.2 | 0.0 | 0.4 | 1.3 | 1.1 | - | - | - | 33.3 | 42.9 | 75.0 | - | 50.9 | 45.8 |
L. Johnson
|
- | 9 | 8.4 | 1.4 | 0.7 | 0.3 | 0.1 | 0.0 | 0.8 | 1.7 | 0.1 | 81 | 9.0 | 12.7 | 26.7 | 16.7 | 100.0 | 0.77 | 38.8 | 30.0 |
E. Thomas
|
G | 6 | 5.5 | 0.8 | 0.7 | 0.2 | 0.0 | 0.0 | 0.0 | 1.8 | -0.2 | -10 | -1.2 | -4.2 | 18.2 | 20.0 | 0 | -0.05 | 22.7 | 22.7 |
K. Bowen
|
- | 9 | 10.4 | 0.8 | 2.2 | 0.2 | 0.1 | 0.1 | 0.6 | 0.9 | 2.0 | - | - | - | 12.5 | 0.0 | 62.5 | - | 30.4 | 12.5 |
D. Sheets
|
F | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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