UCF Knights
2026 Team Stats (28 games)
61.9
PPG
68.5
Opp
-6.6
Margin
41.1%
FG%
25.3%
3P%
72.3%
FT%
35.0
RPG
10.9
APG
17.4
TO
81.1
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 → | 904 (#524) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +12.0 (#173) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.381 (#481) | AdjO 59.6 | AdjD 65.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.698 (#200) | 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 → | 0.629 (#215) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 970 (#231) | RD 158 | GP 28 |
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. Harmon
|
G | 18 | 31.5 | 15.8 | 2.3 | 2.3 | 0.8 | 0.1 | 3.3 | 13.1 | 4.8 | 60 | 3.0 | 4.4 | 39.4 | 35.7 | 86.2 | 2.51 | 52.5 | 45.8 |
K. Ngodu
|
C | 25 | 27.5 | 10.9 | 7.1 | 1.3 | 1.5 | 1.3 | 2.3 | 8.8 | 11.0 | 11 | 0.5 | 1.0 | 47.9 | 0 | 70.5 | -2.39 | 52.8 | 47.9 |
M. Chandler-Roberts
|
F | 28 | 28.6 | 7.9 | 5.4 | 0.9 | 0.5 | 0.7 | 2.0 | 7.2 | 6.1 | 22 | 1.0 | 1.7 | 43.8 | 30.8 | 74.1 | 1.41 | 48.9 | 44.8 |
S. Yancy
|
F | 27 | 27.0 | 6.7 | 4.4 | 2.0 | 1.0 | 0.5 | 2.6 | 5.0 | 7.1 | 80 | 3.5 | 7.4 | 38.2 | 29.6 | 73.8 | 3.63 | 52.6 | 44.1 |
J. Bracey
|
G | 28 | 24.1 | 6.2 | 2.0 | 1.4 | 0.8 | 0.1 | 2.2 | 7.6 | 0.8 | -4 | -0.2 | -0.4 | 35.7 | 14.3 | 66.7 | 0.74 | 38.9 | 37.1 |
K. Ayson
|
G | 28 | 22.1 | 5.8 | 2.6 | 1.8 | 0.9 | 0.3 | 1.4 | 5.5 | 4.5 | 50 | 2.2 | 5.0 | 39.2 | 20.4 | 66.0 | 1.95 | 46.6 | 42.8 |
S. Scott
|
C | 28 | 13.6 | 4.9 | 3.6 | 0.5 | 0.1 | 0.4 | 1.1 | 3.7 | 4.8 | 136 | 5.9 | 13.2 | 55.3 | 0.0 | 77.4 | 2.71 | 59.2 | 55.3 |
K. Cox
|
G | 23 | 12.4 | 3.6 | 1.1 | 0.6 | 0.5 | 0.4 | 1.1 | 4.2 | 1.0 | 27 | 1.5 | 6.7 | 32.0 | 23.7 | 48.0 | 1.79 | 38.4 | 36.6 |
J. Gibson
|
F | 18 | 13.9 | 3.5 | 3.6 | 0.6 | 0.4 | 0.2 | 1.5 | 2.7 | 4.1 | 79 | 4.9 | 10.5 | 50.0 | 0.0 | 75.0 | 0.42 | 55.5 | 50.0 |
S. Bankhead
|
G | 28 | 14.8 | 3.4 | 1.2 | 0.5 | 0.4 | 0.1 | 0.6 | 3.8 | 1.3 | 58 | 2.5 | 6.0 | 31.4 | 18.4 | 68.8 | 1.75 | 39.9 | 34.8 |
A. Benson
|
G | 14 | 6.9 | 3.1 | 0.4 | 0.4 | 0.2 | 0.1 | 0.9 | 2.8 | 0.6 | -4 | -0.4 | -2.1 | 46.2 | 25.0 | 45.5 | -0.57 | 50.2 | 50.0 |
F. Schölander
|
G | 10 | 8.0 | 1.4 | 0.5 | 0.6 | 0.3 | 0.0 | 0.8 | 1.2 | 0.8 | - | - | - | 41.7 | 22.2 | 100.0 | - | 54.3 | 50.0 |
M. Hänsel
|
F | 9 | 5.3 | 0.2 | 0.8 | 0.0 | 0.2 | 0.0 | 0.1 | 0.2 | 0.9 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
L. Reed
|
F | 5 | 3.8 | 0.0 | 1.2 | 0.0 | 0.2 | 0.0 | 0.4 | 0.2 | 0.8 | -12 | -2.0 | -21.0 | 0.0 | 0 | 0 | -0.97 | 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