Stanford Cardinal
2024 Team Stats (32 games)
76.3
PPG
76.5
Opp
-0.1
Margin
46.8%
FG%
37.0%
3P%
72.8%
FT%
34.3
RPG
16.1
APG
12.8
TO
-
Est. poss./game
77.2
Adj PPG
71.6
Adj Opp PPG
#98
Scoring Rank
Model Outputs
2023-2024
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 โ | 981 (#169) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1019 (#163) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 964 (#241) | HCA +77 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +6.7 (#93) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.2 (#96) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.495 (#174) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.735 (#99) | AdjNet +8.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.739 (#99) | AdjNet +9.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.626 (#98) | AdjO 77.2 | AdjD 71.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.521 (#154) | AdjO 74.1 | AdjD 73.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.589 (#122) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.568 (#129) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1004 (#174) | RD 131 | GP 32 |
2024 Schedule & Results
2024 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Maxime Raynaud
|
- | 32 | 29.1 | 15.5 | 9.6 | 2.0 | 0.7 | 0.8 | 2.5 | 11.1 | 14.9 | -54 | 30 | -1.8 | -2.5 | 56.7 | 36.1 | 78.4 | -0.4 | 62.7 | 59.8 |
B. Angel
|
- | 30 | 31.4 | 13.0 | 4.7 | 1.7 | 0.6 | 0.3 | 1.7 | 8.0 | 10.5 | -19 | 28 | -0.7 | -0.9 | 56.7 | 44.7 | 81.6 | 1.75 | 68.3 | 63.7 |
Spencer Jones
|
- | 25 | 29.0 | 11.7 | 4.1 | 2.0 | 1.4 | 0.8 | 1.3 | 9.0 | 9.6 | -10 | 24 | -0.4 | -0.6 | 43.8 | 40.9 | 64.5 | 0.03 | 57.6 | 55.8 |
Kanaan Carlyle
|
- | 23 | 25.6 | 11.5 | 2.7 | 2.7 | 0.4 | 0.6 | 2.9 | 9.3 | 5.6 | -72 | 23 | -3.1 | -5.0 | 38.6 | 32.0 | 77.6 | -0.48 | 52.3 | 46.0 |
Michael Jones
|
- | 32 | 30.4 | 10.8 | 2.6 | 2.1 | 0.9 | 0.1 | 1.1 | 7.3 | 8.1 | 35 | 30 | 1.2 | 1.6 | 50.0 | 41.8 | 71.4 | 2.89 | 64.4 | 62.0 |
Andrej Stojakovic
|
- | 32 | 22.3 | 7.8 | 3.4 | 0.9 | 0.4 | 0.1 | 1.2 | 7.6 | 3.9 | -88 | 30 | -2.9 | -5.5 | 40.9 | 32.7 | 52.8 | -2.05 | 48.7 | 47.9 |
J. Bynum
|
- | 18 | 23.7 | 6.9 | 2.2 | 5.2 | 0.6 | 0.1 | 2.2 | 6.9 | 5.9 | -11 | 16 | -0.7 | -1.2 | 35.5 | 32.7 | 86.4 | -0.46 | 46.4 | 42.3 |
Benny Gealer
|
G | 32 | 17.9 | 4.2 | 1.6 | 2.3 | 0.6 | 0.0 | 0.8 | 4.1 | 3.8 | 39 | 30 | 1.3 | 3.1 | 36.2 | 33.3 | 83.3 | 2.91 | 48.9 | 46.2 |
M. Murrell
|
F | 17 | 14.6 | 2.6 | 2.1 | 0.6 | 0.4 | 0.9 | 0.5 | 2.4 | 3.8 | 39 | 14 | 2.8 | 7.4 | 36.6 | 30.4 | 72.7 | 0.92 | 49.1 | 45.1 |
Ryan Agarwal
|
G | 5 | 10.4 | 2.4 | 0.4 | 0.2 | 0.6 | 0.0 | 0.0 | 3.0 | 0.6 | - | - | - | - | 33.3 | 9.1 | 100.0 | 0.05 | 38.9 | 36.7 |
J. Keefe
|
- | 31 | 9.8 | 2.4 | 2.3 | 0.5 | 0.3 | 0.2 | 0.4 | 1.8 | 3.5 | 11 | 29 | 0.4 | 1.7 | 53.6 | 0 | 42.9 | -0.38 | 52.5 | 53.6 |
R. Yuan
|
- | 5 | 1.4 | 1.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 1.0 | - | - | - | - | 66.7 | 100.0 | 100.0 | -0.42 | 103.1 | 100.0 |
Jaylen Thompson
|
F | 5 | 1.6 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.6 | - | - | - | - | 100.0 | 100.0 | 0 | -1.67 | 125.0 | 125.0 |
J. Gil-Silva
|
- | 3 | 1.7 | 0.7 | 0.3 | 0.3 | 0.3 | 0.0 | 0.3 | 0.7 | 0.7 | - | - | - | - | 50.0 | 0 | 0 | -0.36 | 50.0 | 50.0 |
Aidan Cammann
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Cameron Grant
|
F | 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