San Francisco
2019 Team Stats (2 games)
72.5
PPG
73.5
Opp
+5.7
Margin
39.7%
FG%
31.7%
3P%
64.9%
FT%
36.0
RPG
9.0
APG
8.5
TO
84.6
Pace
Model Outputs
2018-2019
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 → | 1286 (#118) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1332 (#103) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.8 (#56) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.048 (#107) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.348 (#80) | AdjNet -5.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.353 (#79) | AdjNet -5.2 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-12 | vs | Sonoma State Seawolves | W | 88 - 54 |
| 2018-11-18 | vs | LIU Brooklyn Liu Brooklyn | W | 84 - 52 |
| 2019-01-12 | vs | Gonzaga Bulldogs | L | 83 - 96 |
| 2019-02-07 | @ | Gonzaga Bulldogs | L | 62 - 92 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. Ferrari
|
G | 4 | 32.2 | 13.0 | 2.8 | 6.0 | 2.5 | 0.0 | 1.2 | 6.2 | 16.8 | - | - | - | 48.0 | 36.4 | 100.0 | - | 92.6 | 56.0 |
C. Minlend
|
G | 4 | 26.5 | 12.5 | 4.0 | 1.2 | 0.2 | 0.5 | 1.0 | 7.5 | 10.0 | - | - | - | 40.0 | 50.0 | 0 | - | 83.3 | 46.7 |
J. Lull
|
C | 4 | 18.5 | 12.0 | 6.2 | 0.8 | 0.2 | 0.2 | 1.0 | 3.0 | 15.5 | - | - | - | 58.3 | 0 | 100.0 | - | 174.4 | 58.3 |
M. McCarthy
|
F | 4 | 18.0 | 10.8 | 8.8 | 0.2 | 0.0 | 0.0 | 1.5 | 4.0 | 14.2 | 5 | 0.6 | 6.6 | 31.2 | 0.0 | 70.0 | -0.25 | 105.4 | 31.2 |
J. Ratinho
|
G | 4 | 29.0 | 9.5 | 3.2 | 1.2 | 0.8 | 0.2 | 1.0 | 4.0 | 10.0 | - | - | - | 25.0 | 25.0 | 0.0 | - | 112.6 | 31.2 |
N. Renfro
|
F | 4 | 26.8 | 8.2 | 5.5 | 1.8 | 1.0 | 1.0 | 2.0 | 5.8 | 9.8 | - | - | - | 39.1 | 28.6 | 22.2 | - | 61.2 | 43.5 |
T. Anderson
|
- | 1 | 6.0 | 7.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | 79 | 3.3 | 10.1 | 75.0 | 50.0 | 0 | 1.15 | 87.5 | 87.5 |
J. Bouyea
|
- | 4 | 19.8 | 4.8 | 3.0 | 0.8 | 0.0 | 0.2 | 0.8 | 1.0 | 7.0 | - | - | - | 25.0 | 0 | 66.7 | - | 178.6 | 25.0 |
N. Krill
|
- | 1 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
D. Ryuny
|
- | 3 | 4.7 | 2.0 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 3.3 | - | - | - | 0.0 | 0.0 | 0 | - | 300.0 | 0.0 |
R. Raitanen
|
F | 4 | 9.8 | 1.5 | 2.0 | 0.2 | 0.2 | 0.0 | 0.0 | 1.2 | 2.8 | - | - | - | 20.0 | 0.0 | 100.0 | - | 51.0 | 20.0 |
M. Orlich
|
- | 2 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Jurkatamm
|
F | 3 | 9.3 | 0.7 | 2.7 | 1.0 | 0.3 | 0.7 | 0.7 | 0.0 | 4.7 | - | - | - | 0 | 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