UCF Knights
2024 Team Stats (7 games)
59.7
PPG
71.6
Opp
-11.9
Margin
37.4%
FG%
31.1%
3P%
65.6%
FT%
35.6
RPG
10.9
APG
20.3
TO
85.0
Pace
Model Outputs
2023-2024
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 → | 1013 (#187) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1052 (#186) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.8 (#119) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.308 (#247) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.176 (#78) | AdjNet -13.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.173 (#78) | AdjNet -13.5 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-11 | vs | New Orleans Privateers | W | 72 - 45 |
| 2024-01-06 | vs | Kansas State Wildcats | L | 56 - 72 |
| 2024-01-13 | vs | West Virginia Mountaineers | L | 59 - 76 |
| 2024-01-20 | @ | Baylor Bears | L | 74 - 77 |
| 2024-01-30 | @ | West Virginia Mountaineers | L | 43 - 84 |
| 2024-02-17 | @ | Kansas State Wildcats | L | 58 - 60 |
| 2024-02-24 | vs | Texas Longhorns | L | 56 - 87 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Peterson
|
G | 7 | 35.6 | 20.4 | 2.9 | 1.4 | 1.9 | 0.1 | 2.3 | 19.3 | 5.1 | -5 | -0.8 | -0.7 | 35.6 | 32.2 | 70.0 | -0.15 | 46.9 | 42.6 |
L. Jewett
|
G | 7 | 24.6 | 7.4 | 1.6 | 3.1 | 0.7 | 0.0 | 1.9 | 6.7 | 4.3 | 16 | 2.7 | 3.4 | 38.3 | 44.0 | 83.3 | 0.12 | 52.4 | 50.0 |
M. Burns
|
G | 7 | 25.1 | 6.1 | 4.6 | 0.4 | 1.1 | 0.9 | 2.4 | 7.7 | 3.0 | -31 | -5.2 | -5.9 | 33.3 | 21.4 | 57.1 | -0.38 | 37.7 | 36.1 |
K. Ngodu
|
C | 7 | 26.3 | 6.0 | 7.4 | 0.7 | 1.0 | 0.3 | 1.7 | 4.9 | 8.9 | 15 | 2.1 | 2.8 | 50.0 | 0 | 66.7 | 0.24 | 53.5 | 50.0 |
M. Robinson-Nwagwu
|
G | 7 | 19.1 | 5.0 | 3.1 | 1.4 | 1.4 | 0.0 | 2.9 | 3.6 | 4.6 | 11 | 1.8 | 3.5 | 32.0 | 0.0 | 95.0 | 0.15 | 51.8 | 32.0 |
T. Ware
|
G | 5 | 13.0 | 4.0 | 1.2 | 0.6 | 0.4 | 0.0 | 1.6 | 4.8 | -0.2 | -40 | -6.7 | -11.6 | 33.3 | 37.5 | 16.7 | -0.68 | 37.5 | 39.6 |
A. Akot
|
F | 6 | 20.3 | 3.7 | 5.5 | 0.8 | 0.5 | 0.5 | 2.5 | 2.8 | 5.7 | -29 | -4.8 | -10.7 | 41.2 | 0 | 61.5 | -0.23 | 48.4 | 41.2 |
A. Todd
|
G | 7 | 11.9 | 3.6 | 1.0 | 0.4 | 0.1 | 0.0 | 1.0 | 3.7 | 0.4 | 11 | 1.8 | 4.9 | 38.5 | 28.6 | 75.0 | 0.21 | 45.0 | 42.3 |
J. Kelly
|
C | 6 | 10.2 | 3.3 | 3.5 | 0.3 | 0.3 | 0.2 | 1.0 | 3.2 | 3.5 | 9 | 1.5 | 4.6 | 42.1 | 0 | 57.1 | 0.15 | 45.3 | 42.1 |
F. Funeus
|
F | 2 | 8.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 1.5 | - | - | - | 75.0 | 0 | 0.0 | - | 61.5 | 75.0 |
T. Gibson
|
C | 5 | 8.2 | 1.2 | 1.2 | 0.0 | 0.0 | 0.6 | 0.2 | 1.2 | 1.6 | -23 | -4.6 | -24.2 | 50.0 | 0.0 | 0.0 | -0.35 | 43.6 | 50.0 |
S. Godbolt
|
G | 7 | 11.1 | 0.6 | 0.7 | 1.3 | 0.1 | 0.1 | 1.7 | 0.7 | 0.4 | - | - | - | 20.0 | 0.0 | 33.3 | - | 26.2 | 20.0 |
M. McMillan
|
G | 3 | 6.3 | 0.0 | 0.3 | 1.3 | 0.3 | 0.0 | 0.7 | 0.7 | 0.7 | - | - | - | 0.0 | 0.0 | 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