Niagara Purple
2026 Team Stats (29 games)
64.6
PPG
71.2
Opp
-6.6
Margin
44.5%
FG%
33.8%
3P%
72.1%
FT%
29.2
RPG
14.2
APG
11.7
TO
71.0
Pace
61.5
AdjO
75.7
AdjD
#339
Rank
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 → | 833 (#309) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 763 (#339) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 896 (#674) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -14.4 (#340) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.8 (#322) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.192 (#334) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.453 (#187) | NetEff -1.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.089 (#342) | AdjNet -20.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.085 (#342) | AdjNet -20.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.216 (#339) | AdjO 61.5 | AdjD 75.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.420 (#577) | AdjO 66.8 | AdjD 70.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.447 (#374) | 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 → | 0.425 (#387) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 828 (#642) | RD 170 | GP 29 |
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. Page
|
G | 21 | 28.8 | 11.9 | 2.1 | 2.4 | 0.7 | 0.2 | 1.5 | 10.4 | 5.5 | -147 | -7.3 | -11.4 | 43.6 | 30.1 | 80.0 | -1.36 | 53.1 | 50.0 |
V. Zanki
|
F | 28 | 21.4 | 8.3 | 2.4 | 0.8 | 0.6 | 0.2 | 0.8 | 6.5 | 5.1 | -120 | -6.3 | -16.1 | 48.1 | 38.9 | 84.2 | -1.28 | 61.3 | 59.7 |
Justin Hawkins
|
- | 29 | 26.3 | 8.2 | 3.3 | 2.3 | 0.6 | 0.3 | 1.4 | 6.7 | 6.5 | -121 | -5.8 | -10.8 | 44.1 | 35.1 | 68.8 | -0.81 | 52.0 | 47.4 |
T. Walters
|
- | 25 | 22.4 | 7.2 | 1.6 | 2.7 | 0.7 | 0.1 | 1.5 | 6.1 | 4.7 | -39 | -1.9 | -3.8 | 31.6 | 35.4 | 81.2 | -0.31 | 49.4 | 40.8 |
J. Sabino
|
- | 27 | 20.9 | 7.0 | 4.4 | 0.9 | 0.8 | 0.5 | 1.3 | 5.4 | 7.0 | -49 | -2.5 | -5.7 | 45.2 | 25.5 | 90.2 | -0.05 | 56.4 | 49.3 |
W. Shortt
|
F | 29 | 19.7 | 6.7 | 4.5 | 0.7 | 0.2 | 0.9 | 0.9 | 5.1 | 7.0 | -77 | -3.7 | -9.2 | 60.5 | 0.0 | 43.6 | -0.55 | 59.4 | 60.5 |
Reggie Prudhomme
|
- | 29 | 26.6 | 6.2 | 2.5 | 2.6 | 0.9 | 0.0 | 1.4 | 5.8 | 5.0 | -135 | -6.1 | -11.0 | 39.3 | 34.0 | 66.7 | -1.21 | 50.8 | 49.4 |
Brian Griffith
|
- | 24 | 13.0 | 5.3 | 1.1 | 1.4 | 0.5 | 0.0 | 1.2 | 4.5 | 2.6 | -27 | -1.6 | -7.1 | 38.9 | 31.7 | 78.9 | -0.34 | 50.9 | 44.9 |
L. Williams
|
- | 26 | 20.5 | 5.0 | 2.3 | 1.0 | 0.6 | 0.5 | 1.0 | 4.5 | 3.9 | 90 | 5.3 | 9.7 | 41.9 | 38.0 | 71.4 | 0.07 | 54.1 | 53.4 |
Drew Larson
|
- | 21 | 10.5 | 3.3 | 2.3 | 0.6 | 0.3 | 0.0 | 0.4 | 2.5 | 3.7 | -50 | -4.2 | -20.5 | 46.2 | 32.1 | 57.1 | -0.57 | 56.3 | 54.8 |
Kabeya Tshibangu
|
- | 23 | 10.8 | 2.6 | 1.8 | 0.5 | 0.2 | 0.4 | 0.3 | 1.7 | 3.5 | -69 | -3.8 | -15.1 | 70.0 | 0 | 27.3 | -0.42 | 65.8 | 70.0 |
AJ McBride
|
G | 5 | 5.0 | 1.8 | 0.8 | 0.2 | 0.4 | 0.2 | 0.2 | 0.6 | 2.6 | 1 | 0.2 | 3.4 | 66.7 | 0.0 | 62.5 | 0.01 | 69.0 | 66.7 |
G. Dalmau
|
- | 8 | 6.8 | 1.8 | 0.5 | 0.2 | 0.1 | 0.1 | 0.4 | 2.1 | 0.2 | - | - | - | 29.4 | 26.7 | 0 | - | 41.2 | 41.2 |
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