UCF
2026 Team Stats (32 games)
80.5
PPG
78.9
Opp
+1.6
Margin
46.0%
FG%
36.4%
3P%
72.3%
FT%
37.8
RPG
15.8
APG
11.4
TO
83.5
Pace
83.3
AdjO
70.5
AdjD
#52
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 → | 1087 (#109) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1246 (#33) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1018 (#154) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.7 (#53) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.0 (#67) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.607 (#106) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.008 (#358) | NetEff -45.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.872 (#54) | AdjNet +16.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.875 (#54) | AdjNet +16.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.763 (#52) | AdjO 83.3 | AdjD 70.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.591 (#131) | AdjO 78.1 | AdjD 74.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.875 (#66) | 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 → | 0.836 (#70) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1199 (#65) | RD 112 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Kugel
|
G | 31 | 28.0 | 14.2 | 3.1 | 2.5 | 1.0 | 0.2 | 1.7 | 12.1 | 7.1 | 108 | 4.7 | 7.5 | 42.0 | 39.7 | 76.5 | 1.39 | 53.1 | 49.7 |
T. Fulks
|
G | 32 | 32.9 | 13.8 | 3.0 | 6.7 | 0.8 | 0.0 | 3.4 | 11.6 | 9.3 | 93 | 4.2 | 5.9 | 45.4 | 38.0 | 78.9 | 0.74 | 52.8 | 48.0 |
J. Burks
|
- | 32 | 28.3 | 13.5 | 4.9 | 0.7 | 1.1 | 0.5 | 0.9 | 10.2 | 9.5 | 54 | 2.3 | 4.3 | 45.1 | 37.5 | 77.8 | 0.5 | 58.3 | 54.3 |
J. Stillwell
|
F | 30 | 28.4 | 11.5 | 8.2 | 2.2 | 1.0 | 0.2 | 1.7 | 8.6 | 12.8 | 89 | 4.2 | 7.0 | 50.2 | 29.7 | 68.5 | 0.86 | 56.3 | 52.3 |
C. Johnson
|
- | 31 | 15.9 | 6.2 | 1.5 | 1.9 | 0.5 | 0.2 | 0.6 | 5.1 | 4.5 | 31 | 2.8 | 35.0 | 42.7 | 36.6 | 70.0 | -0.28 | 55.0 | 52.2 |
J. Bol
|
C | 32 | 18.8 | 5.9 | 5.6 | 0.3 | 0.3 | 1.1 | 1.1 | 3.4 | 8.6 | 57 | 2.6 | 7.3 | 71.8 | 0.0 | 62.0 | 0.77 | 71.6 | 71.8 |
Dev. Cambridge
|
- | 32 | 17.6 | 5.5 | 3.6 | 0.9 | 0.6 | 0.6 | 0.6 | 4.1 | 6.5 | 65 | 3.1 | 7.1 | 44.6 | 27.9 | 70.5 | 0.69 | 56.1 | 51.2 |
C. Pacheco
|
- | 30 | 15.7 | 4.6 | 1.3 | 0.4 | 0.2 | 0.0 | 0.2 | 3.8 | 2.4 | 20 | 0.9 | 2.6 | 39.1 | 38.7 | 100.0 | 0.13 | 58.2 | 57.0 |
G. Beale
|
G | 24 | 8.2 | 3.6 | 0.9 | 0.3 | 0.1 | 0.1 | 0.3 | 3.6 | 1.2 | -22 | -3.7 | -30.1 | 32.6 | 34.5 | 76.9 | -0.38 | 46.9 | 44.2 |
J. Foumena
|
C | 25 | 9.4 | 3.4 | 2.4 | 0.2 | 0.1 | 0.2 | 0.4 | 2.7 | 3.1 | -4 | -0.2 | -0.9 | 54.4 | 0.0 | 45.5 | -0.22 | 54.1 | 54.4 |
K. Parker
|
G | 21 | 5.8 | 1.8 | 0.8 | 0.2 | 0.0 | 0.0 | 0.7 | 1.1 | 1.1 | -80 | -4.0 | -14.5 | 56.5 | 33.3 | 58.8 | -0.38 | 62.3 | 60.9 |
E. Hulsewe
|
- | 16 | 4.8 | 1.0 | 1.4 | 0.1 | 0.2 | 0.1 | 0.2 | 0.6 | 2.1 | -20 | -2.0 | -21.1 | 55.6 | 0 | 85.7 | -0.41 | 66.2 | 55.6 |
P. Warakulnukroh
|
- | 3 | 1.7 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.7 | 1.0 | -0.3 | 6 | 1.5 | 44.3 | 33.3 | 0 | 0 | -0.04 | 33.3 | 33.3 |
Zachary Johnson
|
- | 6 | 1.3 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -2 | -0.3 | -6.4 | 0.0 | 0.0 | 0 | -0.14 | 0.0 | 0.0 |
Tanner Jones
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 14 | 0.7 | 1.3 | - | - | - | 0.02 | - | - |
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