Queens University Royals
2023 Team Stats (2 games)
53.0
PPG
53.5
Opp
-0.5
Margin
36.1%
FG%
21.9%
3P%
72.2%
FT%
31.5
RPG
6.5
APG
13.5
TO
77.0
Pace
Model Outputs
2022-2023
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 → | 860 (#346) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 895 (#347) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.8 (#380) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.114 (#324) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Toccoa Falls Eagles | W | 57 - 34 |
| 2022-12-06 | @ | Gonzaga Bulldogs | L | 49 - 73 |
2023 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. Brisker
|
G | 2 | 30.0 | 12.5 | 3.5 | 0.5 | 3.5 | 0.0 | 1.0 | 18.0 | 1.0 | - | - | - | 27.8 | 25.0 | 80.0 | - | 32.7 | 29.2 |
K. Kidwell
|
G | 2 | 28.5 | 9.0 | 5.5 | 3.5 | 3.0 | 0.0 | 3.0 | 10.0 | 8.0 | - | - | - | 35.0 | 25.0 | 100.0 | - | 43.1 | 40.0 |
A. Johnson
|
G | 2 | 25.5 | 8.0 | 2.0 | 1.5 | 1.0 | 0.0 | 3.5 | 7.0 | 2.0 | - | - | - | 42.9 | 0.0 | 100.0 | - | 50.8 | 42.9 |
J. Weaver
|
F | 2 | 24.0 | 6.5 | 3.5 | 0.0 | 1.0 | 1.0 | 0.5 | 4.5 | 7.0 | - | - | - | 66.7 | 0.0 | 100.0 | - | 68.9 | 66.7 |
A. Davis
|
F | 2 | 22.0 | 4.5 | 4.5 | 0.0 | 1.5 | 0.0 | 0.5 | 5.5 | 4.5 | - | - | - | 36.4 | 0 | 50.0 | - | 37.9 | 36.4 |
Y. Lee
|
G | 2 | 12.5 | 4.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | -1.5 | - | - | - | 25.0 | 25.0 | 0 | - | 33.3 | 33.3 |
J. Brown
|
G | 2 | 14.5 | 3.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 2.5 | 2.5 | - | - | - | 40.0 | 40.0 | 0 | - | 60.0 | 60.0 |
K. Fuller
|
G | 2 | 8.5 | 2.0 | 1.0 | 0.5 | 1.0 | 0.0 | 1.5 | 1.5 | 1.5 | - | - | - | 66.7 | 0.0 | 0 | - | 66.7 | 66.7 |
S. Joseph
|
C | 2 | 5.0 | 1.5 | 2.0 | 0.0 | 0.0 | 1.5 | 1.0 | 1.0 | 3.0 | - | - | - | 50.0 | 0 | 25.0 | - | 39.9 | 50.0 |
L. Johnson
|
F | 2 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
H. Balde-Camara
|
C | 2 | 20.5 | 1.0 | 4.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.5 | 5.5 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
K. Brown
|
F | 2 | 6.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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