San Francisco Dons
2023 Team Stats (3 games)
60.7
PPG
63.7
Opp
-3.0
Margin
39.6%
FG%
28.2%
3P%
74.4%
FT%
33.0
RPG
13.3
APG
14.0
TO
75.0
Pace
Model Outputs
2022-2023
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 → | 1057 (#164) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1163 (#108) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.2 (#131) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.708 (#114) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Long Beach State Beach | W | 74 - 50 |
| 2023-01-05 | @ | Gonzaga Bulldogs | L | 52 - 63 |
| 2023-02-04 | vs | Gonzaga Bulldogs | L | 56 - 78 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. dos Santos
|
F | 1 | 17.0 | 17.0 | 5.0 | 0.0 | 2.0 | 1.0 | 3.0 | 9.0 | 13.0 | - | - | - | 66.7 | 0 | 71.4 | - | 70.4 | 66.7 |
I. Krimili
|
G | 3 | 33.0 | 13.0 | 5.0 | 3.7 | 0.0 | 0.0 | 2.3 | 14.0 | 5.3 | - | - | - | 35.7 | 26.3 | 100.0 | - | 44.6 | 41.7 |
K. Dickie
|
F | 3 | 30.0 | 10.7 | 5.7 | 0.7 | 1.3 | 0.0 | 1.7 | 8.0 | 8.7 | - | - | - | 41.7 | 14.3 | 68.8 | - | 51.5 | 43.8 |
J. Gayles
|
G | 3 | 17.0 | 7.7 | 3.0 | 0.7 | 0.3 | 0.0 | 1.0 | 7.3 | 3.3 | - | - | - | 40.9 | 25.0 | 60.0 | - | 47.5 | 45.5 |
A. Langer
|
G | 2 | 28.5 | 6.5 | 2.0 | 0.0 | 1.0 | 0.0 | 0.5 | 4.5 | 4.5 | - | - | - | 44.4 | 50.0 | 100.0 | - | 65.8 | 61.1 |
J. McDowell-White
|
G | 3 | 27.7 | 6.3 | 4.0 | 4.0 | 2.0 | 0.3 | 3.7 | 5.7 | 7.3 | - | - | - | 41.2 | 41.7 | 0 | - | 55.9 | 55.9 |
A. Rathbun
|
G | 2 | 21.5 | 5.5 | 2.5 | 0.5 | 0.0 | 0.0 | 0.5 | 2.5 | 5.5 | - | - | - | 80.0 | 0 | 100.0 | - | 87.0 | 80.0 |
K. Vaalavirta
|
G | 3 | 16.7 | 4.7 | 1.7 | 1.3 | 0.7 | 0.3 | 1.3 | 2.7 | 4.7 | - | - | - | 50.0 | 50.0 | 75.0 | - | 71.7 | 68.8 |
L. Christie
|
F | 3 | 14.3 | 3.0 | 3.0 | 1.0 | 0.7 | 0.3 | 1.0 | 4.7 | 2.3 | - | - | - | 28.6 | 25.0 | 0 | - | 32.1 | 32.1 |
A. Keita
|
G | 2 | 3.0 | 1.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | 0.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
M. Latu
|
G | 3 | 5.0 | 0.7 | 1.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.7 | -0.3 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
C. Fulcher
|
G | 3 | 6.7 | 0.3 | 0.7 | 0.3 | 0.0 | 0.0 | 0.3 | 0.7 | 0.3 | - | - | - | 0.0 | 0.0 | 50.0 | - | 17.4 | 0.0 |
A. Baum
|
G | 3 | 6.7 | 0.0 | 1.0 | 0.7 | 0.7 | 0.0 | 0.3 | 1.0 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Hernandez
|
F | 3 | 2.0 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | - | - | - | 0.0 | 0.0 | 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