Stanford Cardinal
2023 Team Stats (23 games)
71.7
PPG
68.5
Opp
+1.1
Margin
46.3%
FG%
38.9%
3P%
68.8%
FT%
33.7
RPG
15.7
APG
11.9
TO
75.2
Pace
Model Outputs
2022-2023
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 → | 1379 (#38) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1294 (#86) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.2 (#77) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.441 (#70) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.583 (#123) | NetEff +3.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.581 (#55) | AdjNet +2.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.584 (#55) | AdjNet +2.9 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Spencer Jones
|
- | 24 | 29.1 | 14.7 | 4.5 | 1.5 | 1.3 | 0.8 | 1.3 | 10.6 | 11.0 | -4 | -0.8 | -3.5 | 47.8 | 46.1 | 66.7 | 0.24 | 63.9 | 59.4 |
Harrison Ingram
|
- | 24 | 28.1 | 11.1 | 5.9 | 3.6 | 0.7 | 0.5 | 2.3 | 8.6 | 10.8 | - | - | - | 44.2 | 32.9 | 60.9 | - | 56.3 | 50.5 |
B. Angel
|
- | 24 | 26.5 | 10.0 | 4.6 | 1.8 | 0.6 | 0.3 | 1.6 | 6.1 | 9.7 | - | - | - | 54.8 | 46.9 | 77.8 | 0.05 | 71.0 | 62.7 |
Maxime Raynaud
|
- | 24 | 24.5 | 9.2 | 6.7 | 0.8 | 0.6 | 0.6 | 1.5 | 7.5 | 8.9 | - | - | - | 52.2 | 21.9 | 60.7 | - | 57.2 | 54.2 |
T. Jones
|
- | 24 | 25.5 | 8.0 | 2.7 | 1.7 | 0.5 | 0.1 | 1.3 | 5.6 | 6.0 | 22 | 1.8 | 2.5 | 41.8 | 39.5 | 72.0 | 0.95 | 61.2 | 54.5 |
Michael O'Connell
|
G | 24 | 26.6 | 5.0 | 2.5 | 3.3 | 0.8 | 0.0 | 1.5 | 4.4 | 5.7 | - | - | - | 36.8 | 28.0 | 74.4 | - | 48.3 | 40.1 |
M. Murrell
|
F | 22 | 14.6 | 4.2 | 1.6 | 0.3 | 0.2 | 0.9 | 0.6 | 3.1 | 3.5 | - | - | - | 44.1 | 43.6 | 87.5 | 0.03 | 64.3 | 56.6 |
J. Keefe
|
- | 13 | 13.5 | 3.8 | 3.6 | 0.8 | 0.3 | 0.3 | 0.8 | 2.3 | 5.6 | - | - | - | 53.3 | 0 | 66.7 | - | 62.4 | 53.3 |
R. Agarwal
|
G | 9 | 7.4 | 3.7 | 0.7 | 0.1 | 0.2 | 0.0 | 0.1 | 2.6 | 2.0 | -1 | -0.1 | -0.1 | 47.8 | 40.0 | 75.0 | 0.39 | 66.6 | 65.2 |
I. Silva
|
- | 23 | 13.0 | 3.4 | 0.4 | 1.3 | 0.3 | 0.0 | 0.9 | 2.9 | 1.7 | - | - | - | 39.4 | 25.0 | 59.1 | - | 51.5 | 42.4 |
Jarvis Moss
|
G | 9 | 2.6 | 2.1 | 0.4 | 0.0 | 0.1 | 0.0 | 0.2 | 0.9 | 1.6 | 25 | 5.0 | 9.4 | 62.5 | 50.0 | 0 | 0.58 | 118.8 | 81.2 |
Neal Begovich
|
- | 7 | 3.3 | 0.7 | 1.1 | 0.3 | 0.1 | 0.1 | 0.1 | 0.7 | 1.6 | - | - | - | 20.0 | 0.0 | 60.0 | - | 34.7 | 20.0 |
B. Gealer
|
G | 8 | 3.6 | 0.6 | 0.5 | 0.5 | 0.1 | 0.0 | 0.5 | 0.4 | 0.9 | 5 | 0.4 | 0.5 | 33.3 | 33.3 | 100.0 | 0.75 | 64.4 | 50.0 |
N. Taitz
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -77 | -7.7 | -13.9 | - | - | - | -0.29 | - | - |
J. Thompson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -2 | -0.4 | -2.2 | - | - | - | -0.45 | - | - |
R. Yuan
|
- | 5 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -0.4 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Gil-Silva
|
- | 4 | 1.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | -0.2 | - | - | - | 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