Queens University Royals
2024 Team Stats (33 games)
80.1
PPG
81.6
Opp
-1.5
Margin
44.3%
FG%
34.0%
3P%
71.0%
FT%
37.0
RPG
13.2
APG
11.4
TO
84.2
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 → | 1127 (#153) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1090 (#220) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.7 (#252) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.319 (#278) | NetEff -7.1 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AJ McKee
|
G | 33 | 31.6 | 18.8 | 4.0 | 2.4 | 1.7 | 0.3 | 1.9 | 14.6 | 10.7 | 14 | 2.3 | 2.7 | 44.7 | 32.3 | 73.4 | 0.05 | 55.6 | 51.1 |
D. Albury
|
- | 32 | 28.3 | 17.0 | 5.8 | 3.7 | 1.2 | 0.4 | 3.2 | 12.1 | 12.7 | 35 | 5.8 | 8.3 | 48.2 | 36.4 | 75.0 | 0.49 | 57.1 | 50.8 |
BJ McLaurin
|
- | 33 | 25.2 | 11.5 | 5.9 | 1.1 | 0.5 | 0.2 | 0.9 | 8.9 | 9.4 | 0 | 0.0 | 0.0 | 42.2 | 34.5 | 78.4 | -0.11 | 55.8 | 50.7 |
C. Ashby
|
G | 33 | 26.8 | 9.7 | 0.7 | 0.7 | 0.4 | 0.0 | 0.5 | 8.2 | 2.7 | -13 | -0.6 | -3.9 | 39.0 | 39.1 | 92.3 | -0.25 | 57.4 | 56.4 |
B. Cash
|
G | 33 | 28.6 | 7.8 | 4.3 | 2.0 | 0.9 | 0.1 | 1.3 | 6.3 | 7.5 | 8 | 0.9 | 1.8 | 48.8 | 25.6 | 62.5 | 0.04 | 53.8 | 51.2 |
J. Sebock
|
- | 28 | 16.1 | 5.8 | 4.2 | 0.5 | 0.5 | 0.2 | 1.0 | 4.6 | 5.5 | 2 | 0.3 | 1.0 | 46.5 | 22.0 | 75.0 | 0.04 | 54.9 | 50.8 |
J. Pollard
|
F | 32 | 14.4 | 3.3 | 3.4 | 0.8 | 0.6 | 0.1 | 0.6 | 3.1 | 4.5 | -11 | -0.6 | -4.1 | 39.0 | 27.1 | 64.7 | 0.17 | 48.8 | 47.0 |
L. Threatt
|
- | 19 | 9.4 | 3.2 | 0.6 | 1.1 | 0.6 | 0.0 | 0.5 | 2.6 | 2.4 | - | - | - | 44.0 | 37.9 | 54.5 | - | 55.6 | 55.0 |
K. Mathews
|
G | 24 | 13.6 | 2.8 | 2.2 | 1.3 | 0.6 | 0.4 | 0.8 | 2.0 | 4.4 | -4 | -1.3 | -2.7 | 49.0 | 53.8 | 50.0 | -0.11 | 56.2 | 56.1 |
K. George
|
- | 24 | 7.5 | 2.6 | 0.8 | 0.5 | 0.3 | 0.1 | 0.4 | 2.6 | 1.3 | -8 | -2.0 | -14.1 | 33.3 | 29.4 | 73.3 | -0.22 | 45.3 | 41.3 |
M. Wilson
|
F | 33 | 10.8 | 1.6 | 2.9 | 0.2 | 0.1 | 1.2 | 0.7 | 1.4 | 4.0 | -9 | -3.0 | -8.7 | 50.0 | 0 | 29.2 | -0.09 | 46.9 | 50.0 |
L. Krawczyk
|
- | 12 | 3.1 | 1.2 | 0.9 | 0.1 | 0.2 | 0.1 | 0.2 | 1.2 | 1.2 | - | - | - | 35.7 | 40.0 | 60.0 | - | 46.3 | 42.9 |
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