Stanford Cardinal
2019 Team Stats (5 games)
67.6
PPG
78.6
Opp
-11.0
Margin
39.5%
FG%
33.3%
3P%
68.1%
FT%
36.8
RPG
12.2
APG
17.0
TO
84.8
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 → | 1486 (#43) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1480 (#36) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.1 (#92) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.135 (#88) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.301 (#85) | AdjNet -7.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.300 (#85) | AdjNet -7.3 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-12 | @ | North Carolina Tar Heels | L | 72 - 90 |
| 2018-11-22 | @ | Florida Gators | L | 49 - 72 |
| 2018-12-01 | @ | Kansas Jayhawks | L | 84 - 90 |
| 2019-03-03 | vs | Washington Huskies | L | 61 - 62 |
| 2019-03-13 | @ | UCLA Bruins | L | 72 - 79 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KZ Okpala
|
- | 5 | 32.0 | 11.6 | 5.4 | 2.2 | 0.8 | 1.0 | 2.4 | 10.2 | 8.4 | - | - | - | 39.2 | 37.5 | 57.1 | - | 48.1 | 45.1 |
J. Sharma
|
C | 5 | 24.0 | 11.4 | 7.2 | 0.6 | 1.0 | 2.2 | 0.6 | 7.8 | 14.0 | - | - | - | 59.0 | 0 | 61.1 | - | 60.7 | 59.0 |
C. Ryan
|
- | 5 | 29.2 | 10.4 | 3.2 | 2.0 | 1.2 | 0.2 | 2.2 | 9.0 | 5.8 | - | - | - | 35.6 | 35.1 | 77.8 | - | 53.1 | 50.0 |
M. Sheffield II
|
G | 4 | 23.2 | 9.5 | 1.8 | 0.8 | 0.2 | 0.2 | 1.2 | 7.8 | 3.5 | 13 | 1.4 | 6.1 | 45.2 | 42.1 | 100.0 | 0.37 | 59.6 | 58.1 |
O. da Silva
|
F | 5 | 25.6 | 8.4 | 7.6 | 2.0 | 0.6 | 0.8 | 3.2 | 7.6 | 8.6 | - | - | - | 39.5 | 20.0 | 64.3 | - | 47.6 | 43.4 |
D. Davis
|
G | 4 | 22.8 | 6.5 | 3.0 | 1.8 | 0.0 | 0.2 | 2.5 | 6.8 | 2.2 | 28 | 2.8 | 5.1 | 29.6 | 18.2 | 88.9 | 1.05 | 42.0 | 33.3 |
B. Wills
|
G | 5 | 22.8 | 3.8 | 1.2 | 2.0 | 1.4 | 0.2 | 2.6 | 4.6 | 1.4 | - | - | - | 26.1 | 33.3 | 62.5 | - | 35.8 | 30.4 |
I. White
|
G | 5 | 8.2 | 3.6 | 1.0 | 0.2 | 0.0 | 0.0 | 0.4 | 2.8 | 1.6 | - | - | - | 42.9 | 54.5 | 0 | - | 64.3 | 64.3 |
J. Delaire
|
- | 5 | 10.0 | 2.6 | 1.0 | 0.4 | 0.2 | 0.4 | 0.6 | 3.6 | 0.4 | - | - | - | 22.2 | 0.0 | 100.0 | - | 32.2 | 22.2 |
L. Kisunas
|
- | 5 | 6.6 | 1.6 | 1.6 | 0.0 | 0.0 | 0.2 | 0.6 | 0.6 | 2.2 | - | - | - | 100.0 | 0 | 100.0 | - | 103.1 | 100.0 |
K. Pugh
|
F | 4 | 6.5 | 1.2 | 1.2 | 1.0 | 0.0 | 0.0 | 0.5 | 1.8 | 1.2 | - | - | - | 28.6 | 0 | 100.0 | - | 33.6 | 28.6 |
T. Stanback
|
F | 3 | 7.0 | 0.7 | 2.0 | 0.0 | 0.0 | 0.3 | 0.7 | 0.7 | 1.7 | - | - | - | 50.0 | 0 | 0.0 | - | 34.7 | 50.0 |
R. Herenton
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 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