San Francisco
2020 Team Stats (4 games)
73.0
PPG
72.7
Opp
+1.8
Margin
42.9%
FG%
25.2%
3P%
71.6%
FT%
34.5
RPG
9.0
APG
9.3
TO
80.1
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 → | 1266 (#117) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1335 (#93) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.8 (#57) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.569 (#31) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.750 (#28) | AdjNet +9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.755 (#28) | AdjNet +9.7 |
2020 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2019-11-11 | vs | Yale Bulldogs | W | 84 - 79 |
| 2019-12-23 | @ | Fresno State Bulldogs | W | 71 - 69 |
| 2020-02-01 | vs | Gonzaga Bulldogs | L | 79 - 83 |
| 2020-02-20 | @ | Gonzaga Bulldogs | L | 54 - 71 |
| 2020-03-06 | vs | Loyola Marymount Lions | W | 82 - 53 |
| 2020-03-09 | @ | Gonzaga Bulldogs | L | 77 - 81 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Minlend
|
G | 4 | 30.5 | 17.2 | 4.8 | 1.2 | 1.0 | 0.5 | 1.2 | 14.5 | 9.0 | 156 | 4.6 | 6.5 | 46.6 | 25.0 | 64.7 | 1.26 | 52.7 | 50.0 |
K. Shabazz
|
- | 6 | 23.0 | 14.3 | 3.3 | 1.0 | 2.2 | 0.0 | 0.8 | 9.2 | 10.8 | 51 | 1.5 | 2.9 | 40.0 | 29.4 | 75.0 | -0.3 | 67.4 | 49.1 |
J. Lull
|
C | 4 | 21.5 | 9.5 | 8.0 | 0.8 | 0.5 | 1.2 | 1.8 | 5.2 | 13.0 | 179 | 5.3 | 7.9 | 66.7 | 0 | 76.9 | 1.31 | 71.1 | 66.7 |
J. Ratinho
|
G | 4 | 30.8 | 8.8 | 1.8 | 1.2 | 0.8 | 0.0 | 1.0 | 9.8 | 1.8 | 182 | 5.4 | 8.0 | 38.5 | 26.3 | 0.0 | 1.25 | 44.4 | 44.9 |
R. Raitanen
|
F | 4 | 16.2 | 7.2 | 4.2 | 0.5 | 0.5 | 0.2 | 0.0 | 4.0 | 8.8 | 116 | 3.4 | 8.3 | 50.0 | 46.2 | 100.0 | 0.93 | 76.0 | 68.8 |
J. Bouyea
|
- | 4 | 30.2 | 7.2 | 4.0 | 3.0 | 0.8 | 0.8 | 2.2 | 9.5 | 4.0 | - | - | - | 34.2 | 0.0 | 42.9 | 1.8 | 35.3 | 34.2 |
J. Visser
|
C | 1 | 3.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
J. Kunen
|
- | 6 | 19.3 | 3.5 | 3.8 | 0.3 | 0.0 | 0.3 | 0.8 | 2.8 | 4.3 | - | - | - | 41.2 | 33.3 | 100.0 | -0.0 | 53.5 | 44.1 |
D. Ryuny
|
- | 3 | 9.3 | 2.7 | 1.3 | 0.3 | 1.0 | 0.3 | 0.0 | 3.0 | 2.7 | 58 | 1.9 | 7.0 | 33.3 | 25.0 | 0 | 0.65 | 44.4 | 44.4 |
T. Jurkatamm
|
F | 4 | 17.0 | 2.0 | 3.2 | 1.0 | 0.5 | 0.8 | 0.8 | 1.5 | 5.2 | 33 | 1.4 | 4.0 | 50.0 | 0 | 50.0 | 0.49 | 51.5 | 50.0 |
T. Anderson
|
- | 2 | 4.5 | 1.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 2.5 | -0.5 | 147 | 5.2 | 12.8 | 20.0 | 33.3 | 0 | 0.82 | 30.0 | 30.0 |
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