San Diego Toreros
2025 Team Stats (1 games)
75.0
PPG
30.0
Opp
+45.0
Margin
47.5%
FG%
40.0%
3P%
76.5%
FT%
49.0
RPG
18.0
APG
18.0
TO
86.5
Pace
59.2
AdjO
67.8
AdjD
#262
Rank
Model Outputs
2024-2025
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 → | 766 (#319) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 717 (#330) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -8.5 (#257) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.197 (#287) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.197 (#288) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.170 (#266) | AdjNet -13.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.169 (#262) | AdjNet -13.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.314 (#262) | AdjO 59.2 | AdjD 67.8 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-06 | vs | Biola Eagles | W | 75 - 30 |
2025 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. Ranson
|
G | 1 | 20.0 | 14.0 | 0.0 | 1.0 | 1.0 | 0.0 | 2.0 | 8.0 | 6.0 | -12 | -0.4 | -0.5 | 75.0 | 100.0 | 0.0 | 0.81 | 82.9 | 87.5 |
T. Reilly
|
F | 1 | 21.0 | 12.0 | 7.0 | 2.0 | 0.0 | 2.0 | 2.0 | 6.0 | 15.0 | -36 | -1.2 | -1.4 | 66.7 | 0 | 100.0 | 0.17 | 77.3 | 66.7 |
K. Horstmeyer
|
G | 1 | 25.0 | 8.0 | 7.0 | 4.0 | 5.0 | 1.0 | 2.0 | 9.0 | 14.0 | -46 | -1.5 | -1.6 | 33.3 | 0 | 100.0 | 0.04 | 40.5 | 33.3 |
C. Wristen
|
F | 1 | 14.0 | 7.0 | 5.0 | 0.0 | 0.0 | 1.0 | 1.0 | 7.0 | 5.0 | 14 | 0.9 | 1.7 | 42.9 | 0 | 50.0 | 0.18 | 44.4 | 42.9 |
L. Amor
|
G | 1 | 10.0 | 7.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | 2.0 | 8.0 | -9 | -0.5 | -5.0 | 100.0 | 100.0 | 100.0 | -0.76 | 121.5 | 125.0 |
P. Santacaterina
|
G | 1 | 18.0 | 6.0 | 4.0 | 4.0 | 1.0 | 0.0 | 2.0 | 3.0 | 10.0 | 12 | 1.5 | 8.5 | 66.7 | 100.0 | 50.0 | -0.82 | 77.3 | 83.3 |
H. Rhodes
|
G | 1 | 15.0 | 4.0 | 2.0 | 0.0 | 2.0 | 1.0 | 0.0 | 5.0 | 4.0 | -43 | -1.4 | -2.1 | 20.0 | 0.0 | 100.0 | -0.11 | 34.0 | 20.0 |
L. McCall
|
G | 1 | 19.0 | 4.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 9.0 | 1.0 | 30 | 1.3 | 2.0 | 22.2 | 0.0 | 0 | 0.92 | 22.2 | 22.2 |
M. Tharpe
|
F | 1 | 18.0 | 4.0 | 6.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | 5.0 | -42 | -1.6 | -4.9 | 50.0 | 0 | 0 | -0.36 | 50.0 | 50.0 |
E. Carr
|
C | 1 | 7.0 | 4.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 5.0 | 9 | 0.7 | 11.1 | 66.7 | 0 | 0 | -1.15 | 66.7 | 66.7 |
E. Ruse
|
F | 1 | 8.0 | 3.0 | 4.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | 6.0 | 3 | 0.4 | 4.7 | 100.0 | 0 | 50.0 | -1.25 | 79.8 | 100.0 |
D. Moore
|
F | 1 | 11.0 | 2.0 | 3.0 | 2.0 | 1.0 | 0.0 | 1.0 | 2.0 | 5.0 | 11 | 0.4 | 0.7 | 50.0 | 0 | 0 | 0.73 | 50.0 | 50.0 |
C. Gallagher
|
G | 1 | 14.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | 33 | 1.1 | 1.5 | 0.0 | 0.0 | 0 | 0.56 | 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