San Francisco Dons
2022 Team Stats (3 games)
59.0
PPG
81.3
Opp
-22.3
Margin
31.8%
FG%
32.5%
3P%
74.5%
FT%
32.3
RPG
12.3
APG
11.3
TO
78.5
Pace
Model Outputs
2021-2022
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 → | 1055 (#164) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1155 (#105) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.6 (#129) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.708 (#111) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-01-06 | vs | BYU Cougars | L | 64 - 76 |
| 2022-01-29 | @ | BYU Cougars | L | 58 - 99 |
| 2022-03-07 | @ | Gonzaga Bulldogs | L | 55 - 69 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Krimili
|
G | 2 | 33.5 | 17.5 | 2.0 | 1.5 | 0.0 | 1.0 | 2.0 | 15.0 | 5.0 | 72 | 2.8 | 17.8 | 30.0 | 36.4 | 92.9 | 1.32 | 48.4 | 36.7 |
K. Dickie
|
F | 3 | 27.3 | 13.0 | 7.7 | 0.3 | 0.3 | 0.0 | 2.7 | 10.7 | 8.0 | 61 | 2.2 | 13.1 | 37.5 | 47.4 | 75.0 | 1.24 | 54.9 | 51.6 |
J. Gayles
|
G | 3 | 26.3 | 11.7 | 4.3 | 1.3 | 0.0 | 0.0 | 1.3 | 9.3 | 6.7 | - | - | - | 39.3 | 30.0 | 58.8 | 1.76 | 49.3 | 44.6 |
C. Langarita
|
F | 3 | 27.3 | 8.0 | 3.0 | 1.3 | 0.3 | 0.7 | 1.7 | 12.3 | -0.7 | 4 | 0.1 | 0.6 | 29.7 | 18.2 | 0 | 1.08 | 32.4 | 32.4 |
A. Langer
|
G | 2 | 28.0 | 6.5 | 1.0 | 0.5 | 1.5 | 0.0 | 0.5 | 4.0 | 5.0 | 99 | 4.3 | 50.7 | 50.0 | 60.0 | 66.7 | 1.01 | 69.7 | 68.8 |
L. Kostic
|
F | 2 | 22.5 | 5.5 | 3.5 | 2.5 | 0.5 | 1.0 | 1.0 | 4.5 | 7.5 | - | - | - | 44.4 | 0 | 100.0 | 0.61 | 53.3 | 44.4 |
C. Fulcher
|
G | 1 | 4.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 100.0 | 0 | - | 75.0 | 75.0 |
K. Vaalavirta
|
G | 3 | 15.0 | 2.7 | 1.3 | 0.7 | 0.0 | 0.0 | 1.0 | 2.7 | 1.0 | - | - | - | 25.0 | 25.0 | 75.0 | 0.91 | 41.0 | 31.2 |
J. McDowell-White
|
G | 3 | 31.7 | 2.0 | 4.3 | 5.0 | 0.3 | 1.0 | 1.7 | 3.3 | 7.7 | - | - | - | 20.0 | 25.0 | 0 | 0.93 | 30.0 | 30.0 |
M. Klavina
|
G | 2 | 17.5 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.5 | -2.5 | 13 | 0.7 | 5.6 | 7.7 | 0.0 | 0 | 0.57 | 7.7 | 7.7 |
A. Keita
|
G | 2 | 5.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.5 | - | - | - | 0.0 | 0 | 50.0 | 0.07 | 17.4 | 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