San Francisco Dons
2020 Team Stats (5 games)
54.6
PPG
70.4
Opp
-15.8
Margin
36.8%
FG%
29.5%
3P%
81.5%
FT%
32.2
RPG
8.0
APG
15.8
TO
76.6
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 → | 1135 (#119) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1160 (#116) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.5 (#130) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.602 (#171) | - |
2020 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2019-11-09 | vs | Stanford Cardinal | L | 71 - 97 |
| 2019-11-28 | @ | Mississippi State Bulldogs | L | 38 - 73 |
| 2019-11-30 | vs | Houston Cougars | W | 80 - 57 |
| 2020-01-18 | vs | Gonzaga Bulldogs | L | 46 - 69 |
| 2020-02-13 | @ | Gonzaga Bulldogs | L | 38 - 56 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Hoskova
|
G | 5 | 35.0 | 14.6 | 4.4 | 1.8 | 0.6 | 0.2 | 1.6 | 12.4 | 7.6 | - | - | - | 45.2 | 42.9 | 72.7 | 0.87 | 54.6 | 52.4 |
I. Krimili
|
G | 3 | 25.0 | 13.0 | 3.3 | 1.3 | 0.7 | 0.3 | 3.7 | 10.7 | 4.3 | 15 | 1.9 | 9.8 | 46.9 | 46.2 | 75.0 | 0.25 | 57.8 | 56.2 |
J. Nielacna
|
F | 1 | 24.0 | 10.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 11.0 | 2.0 | - | - | - | 36.4 | 33.3 | 100.0 | -0.03 | 43.7 | 40.9 |
M. Williams
|
F | 5 | 28.6 | 9.8 | 5.0 | 0.8 | 0.4 | 0.2 | 2.2 | 9.4 | 4.6 | 5 | 5.0 | 18.0 | 42.6 | 0.0 | 90.0 | 0.75 | 47.7 | 42.6 |
L. Vigil
|
F | 5 | 22.4 | 8.6 | 7.4 | 0.6 | 0.8 | 0.0 | 1.8 | 9.0 | 6.6 | - | - | - | 33.3 | 0 | 86.7 | 1.65 | 41.7 | 33.3 |
K. Vaalavirta
|
G | 5 | 26.4 | 4.4 | 2.6 | 1.0 | 0.6 | 0.0 | 2.2 | 4.8 | 1.6 | - | - | - | 33.3 | 33.3 | 100.0 | 0.37 | 44.2 | 41.7 |
A. Rathbun
|
G | 5 | 31.8 | 4.4 | 3.8 | 1.2 | 1.2 | 0.0 | 2.0 | 5.6 | 3.0 | - | - | - | 28.6 | 12.5 | 71.4 | 0.71 | 35.4 | 30.4 |
D. Balogun
|
F | 5 | 22.2 | 2.0 | 2.2 | 1.8 | 0.4 | 0.0 | 2.0 | 5.0 | -0.6 | - | - | - | 12.0 | 6.7 | 75.0 | 1.04 | 18.7 | 14.0 |
Mi. Galic
|
F | 2 | 13.0 | 1.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 1.0 | 0.5 | -4 | -4.0 | -70.1 | 50.0 | 0.0 | 0 | 0.49 | 50.0 | 50.0 |
R. Sharifi
|
C | 4 | 7.5 | 0.8 | 0.5 | 0.0 | 0.0 | 0.2 | 0.2 | 0.8 | 0.5 | - | - | - | 33.3 | 50.0 | 0 | 0.27 | 50.0 | 50.0 |
T. Holmes
|
F | 2 | 6.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | -1.33 | 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