UC San Diego
2026 Team Stats (32 games)
75.3
PPG
70.4
Opp
+4.9
Margin
45.6%
FG%
32.6%
3P%
69.2%
FT%
37.1
RPG
15.0
APG
11.6
TO
79.1
Pace
72.7
AdjO
70.2
AdjD
#137
Rank
Model Outputs
2025-2026
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 → | 1142 (#71) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1073 (#111) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1033 (#131) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.6 (#133) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.7 (#191) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.654 (#84) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.710 (#105) | NetEff +8.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.595 (#137) | AdjNet +3.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.595 (#137) | AdjNet +3.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.555 (#137) | AdjO 72.7 | AdjD 70.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.555 (#175) | AdjO 69.2 | AdjD 66.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.788 (#145) | 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 → | 0.750 (#144) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1125 (#112) | RD 131 | GP 32 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Beath
|
- | 32 | 30.1 | 11.9 | 4.8 | 1.7 | 1.2 | 0.4 | 1.6 | 10.2 | 8.2 | 159 | 6.6 | 10.1 | 42.0 | 32.4 | 72.3 | 1.23 | 52.4 | 49.1 |
Hudson Mayes
|
- | 31 | 24.2 | 11.6 | 5.9 | 1.7 | 1.0 | 0.3 | 1.2 | 7.7 | 11.7 | 48 | 2.1 | 4.3 | 55.0 | 35.5 | 79.1 | 0.44 | 62.8 | 57.4 |
T. Beattie
|
- | 32 | 31.2 | 10.8 | 5.2 | 3.3 | 1.2 | 0.2 | 1.5 | 8.6 | 10.8 | 139 | 5.8 | 8.7 | 46.9 | 32.8 | 57.9 | 0.45 | 55.8 | 54.5 |
B. Dengdit
|
F | 32 | 23.6 | 10.6 | 5.4 | 1.8 | 0.5 | 0.5 | 1.9 | 8.1 | 8.8 | 87 | 3.6 | 7.4 | 47.7 | 28.4 | 64.8 | 0.07 | 55.5 | 52.1 |
A. Chaikin
|
G | 32 | 24.9 | 9.6 | 2.2 | 1.1 | 0.6 | 0.3 | 1.2 | 7.5 | 5.0 | 99 | 4.1 | 8.0 | 38.8 | 38.9 | 80.6 | 0.5 | 57.2 | 53.3 |
Emanuel Prospere Ii
|
- | 26 | 22.0 | 8.2 | 3.8 | 3.0 | 1.7 | 0.2 | 2.1 | 6.5 | 8.4 | 148 | 6.7 | 12.7 | 50.9 | 20.6 | 59.3 | 1.42 | 54.9 | 53.0 |
Aidan Burke
|
- | 32 | 21.7 | 5.9 | 2.5 | 1.5 | 0.7 | 0.2 | 0.7 | 4.9 | 5.2 | 95 | 4.0 | 7.6 | 41.8 | 29.9 | 76.5 | 0.23 | 54.9 | 51.9 |
Jaden Vance
|
- | 23 | 13.9 | 5.2 | 2.2 | 0.6 | 0.8 | 0.4 | 1.0 | 4.2 | 4.0 | 6 | 0.4 | 2.9 | 45.8 | 37.1 | 76.0 | -0.19 | 56.1 | 52.6 |
Dimitrije Vukicevic
|
- | 23 | 6.6 | 2.5 | 1.6 | 0.6 | 0.2 | 0.2 | 0.7 | 1.6 | 2.7 | 1 | 0.1 | 0.4 | 62.2 | 0.0 | 50.0 | -0.04 | 61.1 | 62.2 |
C. Pendleton
|
- | 18 | 8.1 | 2.2 | 1.6 | 0.6 | 0.1 | 0.2 | 0.1 | 2.6 | 2.2 | 15 | 0.9 | 5.2 | 30.4 | 27.0 | 66.7 | 0.03 | 42.3 | 41.3 |
T. Johnson
|
- | 23 | 9.0 | 2.2 | 1.3 | 0.2 | 0.1 | 0.0 | 0.3 | 2.0 | 1.5 | 67 | 5.2 | 10.1 | 34.8 | 29.0 | 62.5 | 0.73 | 48.1 | 44.6 |
Ryder Elisaldez
|
- | 9 | 4.6 | 1.0 | 0.2 | 0.6 | 0.2 | 0.0 | 0.1 | 0.4 | 1.4 | -21 | -2.3 | -35.4 | 50.0 | 50.0 | 100.0 | -0.41 | 78.1 | 62.5 |
Jasen Brooks
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 8 | 0.7 | 5.5 | - | - | - | -0.24 | - | - |
Yaqub Mir
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Christopher Cox
|
- | 5 | 1.2 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | -6 | -1.0 | -70.2 | 0.0 | 0.0 | 0.0 | -0.06 | 0.0 | 0.0 |
T. Dunn
|
G | 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