Santa Clara Broncos
2025 Team Stats (1 games)
50.0
PPG
81.0
Opp
-31.0
Margin
35.2%
FG%
29.4%
3P%
50.0%
FT%
35.0
RPG
12.0
APG
23.0
TO
83.2
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1082 (#87) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.3 (#95) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.637 (#104) | AdjO 74.4 | AdjD 68.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.875 (#87) | 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 → | 0.844 (#90) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1154 (#94) | RD 119 | GP 29 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-15 | @ | USC Trojans | L | 50 - 81 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Ingram
|
G | 1 | 27.0 | 13.0 | 2.0 | 1.0 | 0.0 | 0.0 | 5.0 | 11.0 | 0.0 | 13 | 0.4 | 2.1 | 45.5 | 33.3 | 66.7 | 0.46 | 52.8 | 50.0 |
O. Pollerd
|
F | 1 | 35.0 | 12.0 | 3.0 | 2.0 | 0.0 | 1.0 | 4.0 | 14.0 | 0.0 | 11 | 0.4 | 0.4 | 28.6 | 33.3 | 100.0 | 1.26 | 40.3 | 35.7 |
A. Goodchild
|
F | 1 | 23.0 | 10.0 | 1.0 | 2.0 | 0.0 | 0.0 | 3.0 | 9.0 | 1.0 | 3 | 0.1 | 0.3 | 44.4 | 40.0 | 0 | 0.25 | 55.6 | 55.6 |
G. Grigoropoulou
|
F | 1 | 22.0 | 8.0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | 11.0 | -16 | -0.5 | -1.6 | 100.0 | 0 | 33.3 | 0.22 | 70.9 | 100.0 |
M. Latu
|
G | 1 | 14.0 | 4.0 | 2.0 | 1.0 | 1.0 | 1.0 | 3.0 | 5.0 | 1.0 | -28 | -0.9 | -1.2 | 40.0 | 0 | 0.0 | 0.74 | 36.8 | 40.0 |
H. Rapp
|
G | 1 | 27.0 | 2.0 | 8.0 | 2.0 | 1.0 | 0.0 | 2.0 | 5.0 | 6.0 | -5 | -0.2 | -0.2 | 20.0 | 0.0 | 0 | 0.79 | 20.0 | 20.0 |
M. Naro
|
G | 1 | 33.0 | 1.0 | 6.0 | 3.0 | 1.0 | 0.0 | 4.0 | 2.0 | 5.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 50.0 | 0.71 | 17.4 | 0.0 |
I. Korolenko
|
F | 1 | 5.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -7 | -0.3 | -1.2 | 0.0 | 0.0 | 0 | -0.1 | 0.0 | 0.0 |
M. Curtis
|
G | 1 | 11.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | 8 | 0.7 | 14.6 | 0.0 | 0.0 | 0 | 0.07 | 0.0 | 0.0 |
G. Williams
|
G | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 0 | -2.48 | 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