Queens University Royals
2026 Team Stats (28 games)
59.0
PPG
68.0
Opp
-9.0
Margin
35.7%
FG%
31.2%
3P%
63.0%
FT%
35.3
RPG
10.4
APG
16.5
TO
82.8
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 → | 922 (#506) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.4 (#354) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.320 (#547) | AdjO 56.7 | AdjD 65.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.357 (#358) | 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 → | 0.341 (#367) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 864 (#474) | RD 160 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Mapp
|
G | 28 | 33.0 | 11.1 | 1.9 | 1.1 | 0.7 | 0.2 | 1.6 | 11.0 | 2.6 | 55 | 1.8 | 3.4 | 34.5 | 34.3 | 89.8 | 0.21 | 46.9 | 42.2 |
D. Colvin
|
G | 28 | 33.5 | 9.6 | 3.3 | 2.8 | 1.4 | 0.0 | 4.0 | 9.6 | 3.6 | 68 | 3.1 | 4.0 | 34.1 | 22.5 | 68.1 | 2.29 | 42.2 | 35.7 |
A. Barreto
|
G | 28 | 31.4 | 8.4 | 3.7 | 2.5 | 0.8 | 0.1 | 1.9 | 10.2 | 3.4 | 6 | 0.3 | 0.4 | 28.6 | 29.7 | 71.9 | -3.05 | 39.2 | 37.1 |
B. Jones-Grant
|
F | 27 | 22.2 | 8.1 | 6.0 | 0.7 | 1.4 | 0.4 | 1.4 | 6.3 | 8.9 | 40 | 1.9 | 3.7 | 48.0 | 36.9 | 64.0 | -1.03 | 57.0 | 55.0 |
M. Freire
|
G | 23 | 22.0 | 7.0 | 2.6 | 0.9 | 1.5 | 0.2 | 1.6 | 7.4 | 3.3 | -8 | -0.5 | -1.1 | 34.7 | 32.3 | 60.0 | 0.09 | 43.2 | 40.6 |
H. Hicks
|
F | 28 | 25.1 | 6.1 | 7.5 | 1.1 | 1.0 | 1.4 | 2.0 | 5.8 | 9.3 | 0 | 0.0 | 0.0 | 44.4 | 0 | 43.1 | 0.55 | 45.1 | 44.4 |
A. Lewis
|
G | 26 | 15.5 | 5.0 | 2.0 | 0.9 | 0.3 | 0.0 | 1.0 | 5.2 | 2.0 | -26 | -1.2 | -4.0 | 30.9 | 31.1 | 76.5 | -3.47 | 45.3 | 43.0 |
B. Franks
|
C | 28 | 12.5 | 4.0 | 3.0 | 0.5 | 0.4 | 0.3 | 1.6 | 3.6 | 3.0 | -3 | -0.1 | -0.6 | 47.0 | 0 | 45.2 | -0.36 | 47.7 | 47.0 |
R. Thompson
|
G | 3 | 9.0 | 3.0 | 2.0 | 0.3 | 0.7 | 0.0 | 2.0 | 2.0 | 2.0 | 102 | 4.2 | 6.2 | 33.3 | 33.3 | 40.0 | -0.22 | 43.3 | 41.7 |
T. Kopilevech
|
F | 3 | 10.0 | 2.0 | 1.7 | 0.3 | 0.0 | 0.7 | 1.0 | 2.0 | 1.7 | - | - | - | 33.3 | 50.0 | 50.0 | - | 43.6 | 41.7 |
K. Hutcherson
|
G | 18 | 7.8 | 0.7 | 0.8 | 0.2 | 0.2 | 0.0 | 0.4 | 1.4 | 0.1 | -10 | -0.7 | -5.1 | 20.0 | 12.5 | 0.0 | -1.51 | 23.2 | 24.0 |
I. Morris
|
C | 20 | 5.2 | 0.6 | 1.1 | 0.1 | 0.1 | 0.2 | 0.5 | 1.2 | 0.3 | 21 | 1.3 | 14.7 | 16.0 | 0.0 | 37.5 | 1.26 | 19.3 | 16.0 |
Shanelle Smith
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 34 | 2.1 | 4.3 | - | - | - | 2.38 | - | - |
Mia Moore
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 153 | 6.7 | 7.8 | - | - | - | 0.18 | - | - |
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