UC Santa Barbara
2026 Team Stats (30 games)
76.6
PPG
72.7
Opp
+3.9
Margin
46.3%
FG%
36.8%
3P%
76.0%
FT%
35.0
RPG
14.0
APG
12.9
TO
78.1
Pace
74.9
AdjO
73.6
AdjD
#141
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 → | 1025 (#162) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 984 (#196) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 995 (#412) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.7 (#141) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.2 (#179) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.612 (#105) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.995 (#4) | NetEff +59.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.547 (#145) | AdjNet +1.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.548 (#144) | AdjNet +1.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.529 (#141) | AdjO 74.9 | AdjD 73.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.569 (#152) | AdjO 73.1 | AdjD 70.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.730 (#198) | 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 → | 0.693 (#199) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1046 (#195) | RD 136 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Mahaney
|
- | 30 | 33.7 | 14.4 | 1.8 | 2.6 | 0.7 | 0.1 | 1.3 | 12.1 | 6.2 | 84 | 3.8 | 5.9 | 41.7 | 35.7 | 81.0 | 0.11 | 54.3 | 50.7 |
Cj Shaw
|
- | 30 | 29.1 | 12.3 | 2.0 | 2.3 | 1.1 | 0.1 | 1.9 | 7.8 | 8.2 | 70 | 3.2 | 6.5 | 51.5 | 44.6 | 81.5 | 0.01 | 65.8 | 60.3 |
C. Smith
|
- | 29 | 29.8 | 12.0 | 4.2 | 1.4 | 0.6 | 0.2 | 1.8 | 7.9 | 8.6 | -10 | -2.5 | -94.9 | 45.2 | 41.4 | 79.2 | -0.27 | 61.7 | 55.2 |
M. Little
|
- | 17 | 28.8 | 12.0 | 5.5 | 4.6 | 1.2 | 0.4 | 2.2 | 7.5 | 14.1 | 93 | 4.9 | 9.9 | 46.9 | 32.1 | 82.5 | 0.71 | 62.5 | 53.9 |
Zion Sensley
|
G | 30 | 25.1 | 10.7 | 7.5 | 0.7 | 0.4 | 0.1 | 0.9 | 8.8 | 9.8 | 65 | 3.0 | 6.4 | 43.2 | 35.1 | 81.6 | -0.34 | 56.4 | 53.4 |
H. Kitenge
|
- | 30 | 20.8 | 7.4 | 4.5 | 1.8 | 0.7 | 0.6 | 2.1 | 5.6 | 7.4 | 53 | 2.4 | 6.2 | 53.9 | 28.6 | 62.1 | 0.27 | 56.9 | 54.5 |
Jason Fontenet Ii
|
G | 5 | 26.6 | 6.6 | 5.0 | 1.6 | 0.6 | 0.2 | 2.2 | 6.4 | 5.4 | 33 | 4.7 | 12.0 | 34.4 | 20.0 | 47.4 | 0.05 | 40.9 | 37.5 |
M. McGhee IV
|
G | 26 | 20.9 | 6.4 | 4.3 | 1.2 | 0.7 | 0.4 | 1.1 | 4.4 | 7.6 | 63 | 3.3 | 9.3 | 47.8 | 40.8 | 86.2 | 0.49 | 65.0 | 61.3 |
Zachiah Clark
|
G | 14 | 8.9 | 3.0 | 1.2 | 0.5 | 0.6 | 0.0 | 0.7 | 2.5 | 2.1 | 18 | 1.4 | 9.1 | 40.0 | 35.3 | 72.7 | -0.25 | 52.7 | 48.6 |
E. Kipruto
|
- | 26 | 8.7 | 2.3 | 1.8 | 0.2 | 0.5 | 0.6 | 0.7 | 1.2 | 3.4 | 69 | 3.5 | 18.4 | 65.6 | 0 | 72.0 | 0.54 | 69.8 | 65.6 |
K. Keat Tong
|
F | 15 | 6.3 | 2.0 | 1.9 | 0.3 | 0.3 | 0.1 | 0.5 | 1.1 | 3.0 | 7 | 0.7 | 4.2 | 58.8 | 100.0 | 69.2 | -0.21 | 66.0 | 61.8 |
Michael Simcoe
|
- | 29 | 9.0 | 1.9 | 1.6 | 0.6 | 0.4 | 0.1 | 0.5 | 1.7 | 2.5 | 12 | 0.5 | 3.4 | 45.8 | 10.0 | 50.0 | -0.33 | 48.5 | 46.9 |
Kyle Haughy
|
- | 3 | 2.7 | 1.3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 1.7 | -2 | -0.5 | -51.6 | 100.0 | 0 | 0.0 | -0.01 | 69.4 | 100.0 |
Luke Zuffelato
|
- | 9 | 7.6 | 0.9 | 0.2 | 0.3 | 0.3 | 0.0 | 0.4 | 1.7 | -0.3 | 19 | 3.2 | 62.1 | 20.0 | 8.3 | 50.0 | -0.15 | 25.2 | 23.3 |
I. Shingange
|
- | 3 | 5.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.7 | 0.0 | 1.3 | -3 | -0.8 | -27.1 | 0 | 0 | 0 | -0.02 | 0 | 0 |
Bryce Bedgood
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
John Simcoe
|
- | 3 | 4.0 | 0.0 | 1.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.0 | 0.7 | 3 | 0.6 | 77.4 | 0 | 0 | 0 | -0.01 | 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