Santa Clara
2024 Team Stats (33 games)
76.9
PPG
72.2
Opp
+4.7
Margin
46.0%
FG%
35.4%
3P%
71.5%
FT%
39.3
RPG
15.1
APG
12.8
TO
81.2
Pace
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 → | 1289 (#56) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1281 (#74) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.0 (#77) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.608 (#33) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.638 (#110) | NetEff +5.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.528 (#66) | AdjNet +1.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.528 (#66) | AdjNet +1.0 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Bal
|
G | 30 | 31.1 | 14.4 | 3.2 | 3.1 | 0.9 | 0.2 | 2.3 | 10.7 | 8.8 | 12 | 1.5 | 3.0 | 43.3 | 35.4 | 82.1 | 0.1 | 57.4 | 51.4 |
Carlos Marshall Jr.
|
- | 31 | 24.3 | 13.2 | 4.4 | 1.7 | 0.8 | 0.0 | 1.9 | 9.8 | 8.4 | 26 | 4.3 | 10.2 | 48.2 | 42.4 | 77.5 | 0.15 | 61.0 | 58.2 |
Johnny O'Neil
|
F | 33 | 25.7 | 11.0 | 5.5 | 1.6 | 0.8 | 0.8 | 1.4 | 9.5 | 8.8 | -9 | -1.0 | -2.5 | 43.5 | 32.5 | 66.0 | -0.17 | 53.5 | 51.9 |
C. Tilly
|
C | 29 | 20.1 | 9.4 | 4.5 | 1.9 | 0.6 | 0.7 | 1.6 | 6.7 | 8.7 | 33 | 1.6 | 12.7 | 55.2 | 30.8 | 69.2 | 0.11 | 59.6 | 56.2 |
T. Bryan
|
G | 32 | 25.4 | 8.2 | 3.8 | 0.6 | 0.3 | 0.3 | 0.6 | 7.2 | 5.4 | -1 | -0.1 | -0.3 | 43.2 | 39.2 | 70.3 | -0.05 | 53.4 | 51.5 |
B. Knapper
|
G | 22 | 18.9 | 6.1 | 2.3 | 1.4 | 0.3 | 0.2 | 1.1 | 5.6 | 3.5 | 14 | 3.5 | 5.4 | 40.3 | 38.5 | 66.7 | 0.06 | 50.3 | 48.4 |
Jalen Benjamin
|
- | 29 | 13.6 | 4.9 | 1.2 | 1.9 | 0.2 | 0.0 | 1.3 | 4.4 | 2.4 | 28 | 4.0 | 11.5 | 37.0 | 30.5 | 68.2 | 0.3 | 48.5 | 44.1 |
Camaron Tongue
|
F | 32 | 12.1 | 4.7 | 3.0 | 0.4 | 0.1 | 0.0 | 0.7 | 3.0 | 4.6 | 18 | 2.6 | 8.8 | 53.6 | 55.6 | 62.5 | 0.22 | 59.5 | 56.2 |
F. Caffaro
|
- | 31 | 15.7 | 4.5 | 3.9 | 1.4 | 0.3 | 0.4 | 1.1 | 2.4 | 7.0 | -17 | -3.4 | -11.1 | 65.3 | 0 | 61.5 | -0.12 | 66.6 | 65.3 |
J. Ensminger
|
G | 33 | 19.0 | 4.1 | 4.8 | 1.6 | 0.5 | 0.2 | 0.8 | 3.2 | 7.1 | 31 | 1.6 | 13.2 | 44.8 | 28.6 | 75.0 | 0.02 | 56.3 | 52.4 |
C. Hammond
|
- | 19 | 12.4 | 3.7 | 1.7 | 1.0 | 0.4 | 0.1 | 0.8 | 3.2 | 2.8 | - | - | - | 42.6 | 22.2 | 82.4 | - | 51.1 | 45.9 |
K. Akametu
|
- | 7 | 8.4 | 2.3 | 2.0 | 0.7 | 0.1 | 0.0 | 0.6 | 1.7 | 2.9 | - | - | - | 41.7 | 0.0 | 75.0 | - | 51.5 | 41.7 |
L. McEldon
|
- | 11 | 5.8 | 1.5 | 1.5 | 0.5 | 0.2 | 0.3 | 0.6 | 1.2 | 2.2 | - | - | - | 53.8 | 0 | 60.0 | - | 55.9 | 53.8 |
B. Yarusso
|
- | 4 | 2.8 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 17.4 | 0.0 |
M. Douyon
|
- | 2 | 2.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
B. Oboye
|
C | 2 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | 0.0 | - | - | - | 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