UC Santa Cruz Banana Slugs
2026 Team Stats (2 games)
58.0
PPG
100.0
Opp
-42.0
Margin
37.3%
FG%
42.9%
3P%
64.0%
FT%
18.5
RPG
13.5
APG
17.0
TO
77.5
Pace
Model Outputs
2025-2026
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 → | 991 (#488) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -14.6 (#544) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.414 (#590) | AdjO 71.5 | AdjD 75.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.246 (#527) | 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 → | 0.282 (#535) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 894 (#512) | RD 350 | GP 2 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | @ | San Francisco Dons | L | 53 - 98 |
| 2025-12-21 | @ | USC Trojans | L | 63 - 102 |
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Carleson
|
G | 2 | 18.5 | 9.0 | 1.5 | 1.0 | 1.5 | 0.0 | 1.5 | 5.0 | 6.5 | - | - | - | 70.0 | 60.0 | 100.0 | - | 86.2 | 85.0 |
Leo Wagner
|
F | 2 | 16.5 | 8.0 | 1.0 | 2.5 | 0.0 | 0.5 | 0.5 | 6.0 | 5.5 | - | - | - | 41.7 | 40.0 | 100.0 | - | 62.1 | 58.3 |
Andrew Ferrara-Jones
|
G | 1 | 29.0 | 8.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 1.0 | - | - | - | 33.3 | 33.3 | 50.0 | - | 40.5 | 38.9 |
Ben Lim
|
G | 2 | 19.5 | 8.0 | 2.5 | 0.0 | 0.5 | 0.0 | 1.0 | 5.5 | 4.5 | - | - | - | 45.5 | 50.0 | 80.0 | - | 60.6 | 54.5 |
Thomas Conley
|
G | 2 | 22.5 | 7.0 | 3.0 | 0.5 | 1.0 | 0.5 | 2.0 | 4.0 | 6.0 | - | - | - | 62.5 | 75.0 | 33.3 | - | 75.1 | 81.2 |
Jaden Gamez
|
G | 2 | 14.5 | 6.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.5 | 5.0 | 2.0 | - | - | - | 50.0 | 50.0 | 0 | - | 60.0 | 60.0 |
Darren Naruse
|
G | 2 | 5.5 | 4.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | - | - | - | 50.0 | 0 | 83.3 | - | 67.8 | 50.0 |
Joe Espy
|
C | 2 | 22.5 | 4.0 | 2.0 | 2.5 | 0.5 | 1.0 | 3.0 | 10.5 | -3.5 | - | - | - | 19.0 | 0.0 | 0.0 | - | 18.7 | 19.0 |
H. Kennedy
|
G | 1 | 15.0 | 3.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 6.0 | 1.0 | - | - | - | 16.7 | 25.0 | 0 | - | 25.0 | 25.0 |
Miles Burrows
|
F | 2 | 14.0 | 3.0 | 0.0 | 0.5 | 0.0 | 0.0 | 1.5 | 2.5 | -0.5 | - | - | - | 40.0 | 50.0 | 0 | - | 60.0 | 60.0 |
Caden Breznikar
|
F | 2 | 27.0 | 2.0 | 1.5 | 4.0 | 3.0 | 1.0 | 4.5 | 6.0 | 1.0 | - | - | - | 16.7 | 0.0 | 0.0 | - | 16.1 | 16.7 |
Teni Salako
|
F | 2 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
Ollie Miller
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Elijah Brookes
|
G | 2 | 12.5 | 0.0 | 1.0 | 0.5 | 1.0 | 0.5 | 1.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Thomas Lawrence
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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