Queens University Royals
2026 Team Stats (35 games)
84.5
PPG
83.6
Opp
+0.8
Margin
48.2%
FG%
35.8%
3P%
73.9%
FT%
33.4
RPG
16.0
APG
10.6
TO
80.6
Pace
Model Outputs
2025-2026
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 → | 1164 (#59) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1077 (#109) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1109 (#44) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.1 (#193) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.5 (#196) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.520 (#170) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.461 (#195) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.516 (#152) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1032 (#156) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Mann
|
G | 34 | 30.3 | 13.1 | 5.6 | 2.7 | 1.1 | 0.2 | 1.5 | 9.5 | 11.6 | -13 | -0.6 | -1.0 | 48.8 | 31.7 | 78.4 | 0.57 | 59.0 | 53.9 |
Y. Berman
|
G | 34 | 29.1 | 12.4 | 3.9 | 3.6 | 0.9 | 0.4 | 1.7 | 9.3 | 10.2 | 41 | 2.9 | 11.8 | 41.6 | 30.3 | 78.2 | 0.35 | 55.3 | 48.4 |
C. Ashby
|
G | 34 | 30.5 | 11.7 | 2.0 | 1.6 | 0.6 | 0.0 | 0.8 | 9.7 | 5.3 | 0 | 0.0 | 0.0 | 37.4 | 37.8 | 87.8 | 0.39 | 56.6 | 53.8 |
J. Watford
|
- | 34 | 20.8 | 11.7 | 2.5 | 3.8 | 0.6 | 0.1 | 1.9 | 6.5 | 10.5 | -60 | -2.6 | -6.5 | 60.2 | 39.1 | 78.0 | 0.2 | 68.6 | 62.2 |
A. Parker
|
F | 34 | 22.1 | 11.1 | 5.3 | 1.2 | 0.9 | 1.3 | 1.6 | 6.5 | 11.8 | -15 | -0.7 | -2.1 | 66.8 | 38.5 | 61.1 | -0.18 | 68.3 | 68.0 |
C. Schwieger
|
F | 33 | 24.7 | 10.2 | 3.1 | 0.8 | 0.5 | 0.1 | 0.5 | 7.9 | 6.4 | 28 | 2.5 | 10.6 | 43.8 | 41.1 | 69.0 | 0.05 | 62.0 | 61.2 |
M. Jabriel
|
F | 34 | 19.8 | 7.5 | 3.8 | 0.9 | 0.7 | 0.4 | 0.9 | 5.6 | 6.9 | -80 | -3.5 | -11.2 | 48.9 | 43.9 | 79.3 | -0.95 | 63.1 | 61.3 |
G. Larson
|
- | 34 | 11.7 | 3.1 | 2.1 | 0.6 | 0.4 | 0.3 | 0.7 | 2.1 | 3.8 | 10 | 1.0 | 9.0 | 54.9 | 20.0 | 55.6 | 0.05 | 58.4 | 57.0 |
I. Henry
|
- | 26 | 7.9 | 3.0 | 1.7 | 0.4 | 0.1 | 0.0 | 0.5 | 2.3 | 2.2 | -36 | -2.1 | -18.7 | 51.7 | 25.0 | 73.3 | -0.2 | 57.8 | 55.0 |
K. Clark
|
- | 26 | 7.2 | 1.8 | 1.0 | 0.3 | 0.3 | 0.2 | 0.3 | 1.8 | 1.5 | -23 | -1.0 | -8.5 | 32.6 | 11.5 | 78.9 | -0.12 | 44.2 | 35.9 |
R. Celestin
|
- | 17 | 2.5 | 0.2 | 0.6 | 0.2 | 0.1 | 0.0 | 0.2 | 0.3 | 0.6 | -16 | -1.3 | -26.0 | 20.0 | 0.0 | 25.0 | -0.14 | 22.2 | 20.0 |
J. Brandly
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Christiansen
|
- | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Danzelle Bullock Coles
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jimma James
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 15 | 1.2 | 1.6 | - | - | - | 0.55 | - | - |
T. Crider
|
- | 10 | 1.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | -0.3 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 |
Saif-Allah Zatari
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Seamus Wilson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 8 | 0.3 | 0.6 | - | - | - | 0.15 | - | - |
Matthew Walter
|
G | 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