Saint Mary's
2019 Team Stats (8 games)
64.5
PPG
67.4
Opp
-2.9
Margin
43.1%
FG%
33.3%
3P%
77.6%
FT%
32.3
RPG
8.1
APG
11.1
TO
72.6
Pace
Model Outputs
2018-2019
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 → | 1562 (#29) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1419 (#62) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.5 (#27) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.072 (#75) | NetEff -22.1 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-19 | @ | Utah State Aggies | L | 63 - 80 |
| 2018-12-07 | vs | New Mexico Lobos | W | 85 - 60 |
| 2018-12-10 | vs | Cal State Fullerton Titans | W | 81 - 66 |
| 2019-02-09 | @ | Gonzaga Bulldogs | L | 46 - 94 |
| 2019-03-02 | vs | Gonzaga Bulldogs | L | 55 - 69 |
| 2019-03-11 | vs | San Diego Toreros | W | 69 - 62 |
| 2019-03-12 | @ | Gonzaga Bulldogs | W | 60 - 47 |
| 2019-03-21 | @ | Villanova Wildcats | L | 57 - 61 |
2019 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 | 8 | 36.4 | 17.4 | 2.5 | 1.5 | 0.5 | 0.1 | 2.1 | 15.0 | 4.9 | -54 | -6.0 | -23.9 | 43.3 | 37.8 | 91.3 | -0.63 | 53.4 | 49.2 |
Malik Fitts
|
- | 8 | 26.4 | 12.5 | 6.1 | 0.5 | 0.9 | 0.0 | 1.0 | 9.1 | 9.9 | 28 | 2.8 | 7.3 | 45.2 | 50.0 | 74.1 | 0.7 | 58.9 | 54.8 |
T. Kuhse
|
G | 8 | 32.2 | 9.6 | 3.5 | 2.9 | 0.9 | 0.5 | 2.0 | 8.0 | 7.4 | - | - | - | 42.2 | 31.2 | 94.7 | - | 53.2 | 46.1 |
J. Hunter
|
C | 8 | 22.6 | 7.6 | 6.9 | 0.8 | 1.1 | 1.1 | 0.8 | 5.2 | 11.5 | - | - | - | 61.9 | 0 | 64.3 | - | 63.3 | 61.9 |
T. Krebs
|
G | 8 | 30.0 | 7.0 | 2.0 | 0.4 | 0.5 | 0.2 | 1.2 | 6.2 | 2.6 | - | - | - | 40.0 | 26.1 | 83.3 | - | 50.7 | 46.0 |
M. Tass
|
F | 8 | 20.0 | 3.6 | 2.8 | 0.6 | 0.6 | 0.2 | 1.0 | 3.6 | 3.2 | - | - | - | 37.9 | 25.0 | 60.0 | - | 43.4 | 39.7 |
E. Thomas
|
G | 6 | 13.0 | 3.3 | 1.2 | 0.5 | 0.3 | 0.0 | 0.7 | 3.3 | 1.3 | - | - | - | 45.0 | 14.3 | 33.3 | 0.18 | 46.9 | 47.5 |
D. Fotu
|
F | 8 | 12.5 | 2.5 | 2.6 | 0.6 | 0.1 | 0.2 | 0.5 | 2.5 | 3.1 | - | - | - | 35.0 | 25.0 | 50.0 | - | 44.2 | 42.5 |
K. Clark
|
F | 1 | 7.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 3 | 0.2 | 0.9 | 100.0 | 0 | 0 | 0.23 | 100.0 | 100.0 |
Q. Clinton
|
G | 6 | 1.5 | 1.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.5 | - | - | - | 40.0 | 40.0 | 0 | - | 60.0 | 60.0 |
J. Perry
|
C | 7 | 5.4 | 0.6 | 1.4 | 0.3 | 0.1 | 0.3 | 0.4 | 1.9 | 0.4 | - | - | - | 7.7 | 0.0 | 100.0 | - | 14.4 | 7.7 |
A. Mudronja
|
G | 5 | 5.2 | 0.4 | 0.0 | 0.2 | 0.0 | 0.2 | 1.2 | 0.8 | -1.2 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
D. Sheets
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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