San Francisco
2021 Team Stats (4 games)
63.5
PPG
80.8
Opp
-13.8
Margin
40.7%
FG%
29.7%
3P%
67.4%
FT%
28.5
RPG
9.5
APG
11.0
TO
73.8
Pace
Model Outputs
2020-2021
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 → | 1230 (#120) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1343 (#84) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.5 (#61) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.031 (#103) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.232 (#85) | AdjNet -10.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.226 (#85) | AdjNet -10.6 |
2021 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2020-11-26 | vs | Towson Tigers | W | 79 - 68 |
| 2021-01-02 | @ | Gonzaga Bulldogs | L | 62 - 85 |
| 2021-02-13 | vs | Gonzaga Bulldogs | L | 61 - 100 |
| 2021-03-05 | @ | Loyola Marymount Lions | L | 66 - 70 |
2021 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. Bouyea
|
- | 3 | 35.0 | 14.7 | 2.3 | 4.0 | 1.0 | 0.0 | 2.7 | 12.3 | 7.0 | - | - | - | 54.1 | 28.6 | 100.0 | 0.91 | 58.1 | 56.8 |
D. Ryuny
|
- | 3 | 29.7 | 11.7 | 2.7 | 0.7 | 1.0 | 0.7 | 1.0 | 7.7 | 8.0 | 61 | 2.4 | 3.8 | 47.8 | 47.4 | 80.0 | 0.54 | 69.4 | 67.4 |
K. Shabazz
|
- | 4 | 27.8 | 8.5 | 3.2 | 1.5 | 1.2 | 0.0 | 2.2 | 8.5 | 3.8 | 60 | 2.4 | 3.4 | 23.5 | 25.0 | 70.0 | 0.41 | 44.3 | 32.4 |
J. Rishwain
|
- | 3 | 19.3 | 7.0 | 1.0 | 0.0 | 0.3 | 0.3 | 1.3 | 5.0 | 2.3 | 1 | 0.0 | 0.1 | 40.0 | 41.7 | 100.0 | -0.21 | 62.6 | 56.7 |
A. Roy
|
G | 2 | 11.5 | 6.5 | 1.0 | 0.5 | 0.5 | 0.0 | 1.0 | 5.0 | 2.5 | -9 | -1.1 | -7.8 | 40.0 | 40.0 | 100.0 | -0.02 | 57.4 | 50.0 |
J. Kunen
|
- | 4 | 30.0 | 5.2 | 4.2 | 1.0 | 0.0 | 0.2 | 1.5 | 4.8 | 4.5 | - | - | - | 26.3 | 20.0 | 0 | 1.08 | 55.3 | 34.2 |
S. Kane
|
C | 3 | 11.3 | 4.7 | 3.0 | 0.0 | 0.0 | 0.3 | 0.7 | 2.7 | 4.7 | -34 | -1.6 | -6.8 | 75.0 | 0 | 50.0 | -0.45 | 71.7 | 75.0 |
D. Milstead
|
G | 2 | 12.0 | 4.5 | 0.0 | 1.0 | 2.0 | 0.0 | 1.0 | 2.5 | 4.0 | -12 | -0.6 | -1.5 | 60.0 | 50.0 | 50.0 | -0.34 | 66.6 | 70.0 |
I. Hawthorne
|
- | 2 | 6.5 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | 1.0 | -20 | -1.2 | -6.7 | 33.3 | 0.0 | 100.0 | -0.36 | 43.6 | 33.3 |
T. Jurkatamm
|
F | 3 | 12.7 | 1.3 | 2.0 | 0.3 | 0.0 | 0.3 | 0.0 | 2.3 | 1.7 | 51 | 2.0 | 3.2 | 28.6 | 0.0 | 0 | 0.41 | 28.6 | 28.6 |
J. Visser
|
C | 3 | 12.0 | 1.3 | 1.0 | 0.3 | 0.3 | 0.0 | 0.3 | 3.0 | -0.3 | 17 | 0.7 | 2.7 | 22.2 | 0 | 0.0 | 0.07 | 19.4 | 22.2 |
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