Niagara Purple Eagles
2026 Team Stats (26 games)
50.4
PPG
76.7
Opp
-26.3
Margin
31.9%
FG%
25.0%
3P%
64.3%
FT%
31.5
RPG
8.8
APG
23.4
TO
87.2
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 → | 824 (#584) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.0 (#435) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.186 (#587) | AdjO 53.2 | AdjD 69.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.114 (#510) | 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 → | 0.119 (#541) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 586 (#590) | RD 182 | GP 26 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Dial
|
F | 26 | 33.1 | 11.0 | 1.9 | 1.0 | 1.0 | 0.2 | 2.8 | 12.1 | 0.3 | -182 | -8.3 | -9.7 | 29.3 | 27.0 | 80.6 | 0.46 | 41.6 | 36.9 |
C. Wilson
|
G | 24 | 26.4 | 8.5 | 2.2 | 1.7 | 1.6 | 0.2 | 3.5 | 9.9 | 0.8 | -133 | -7.0 | -11.1 | 32.1 | 26.7 | 60.7 | -1.24 | 38.8 | 35.4 |
K. Haruna
|
F | 23 | 17.7 | 5.8 | 4.2 | 0.4 | 1.2 | 0.7 | 2.1 | 6.5 | 3.7 | -153 | -8.1 | -24.9 | 32.0 | 26.7 | 63.4 | -4.61 | 39.9 | 36.0 |
C. Fenceroy
|
G | 16 | 24.0 | 5.2 | 2.3 | 1.4 | 1.2 | 0.1 | 3.8 | 7.6 | -1.2 | -117 | -6.5 | -9.4 | 24.6 | 17.8 | 71.4 | 0.25 | 31.6 | 27.9 |
T. Freeman
|
F | 26 | 20.4 | 4.9 | 4.8 | 0.8 | 0.8 | 0.3 | 2.0 | 4.2 | 5.5 | -103 | -4.7 | -9.0 | 40.9 | 0 | 74.0 | -1.08 | 48.1 | 40.9 |
J. Williams
|
F | 25 | 18.8 | 4.7 | 2.7 | 1.1 | 1.6 | 0.4 | 2.2 | 5.4 | 3.1 | -14 | -0.6 | -1.0 | 32.8 | 0 | 58.8 | -0.89 | 37.7 | 32.8 |
K. Veljovic
|
G | 24 | 22.1 | 4.1 | 2.8 | 0.8 | 1.3 | 0.1 | 1.7 | 3.9 | 3.6 | -114 | -5.4 | -11.6 | 40.9 | 33.3 | 50.0 | 0.89 | 44.1 | 41.4 |
J. Rutledge
|
F | 25 | 22.8 | 3.6 | 2.9 | 1.3 | 1.2 | 1.0 | 1.8 | 3.7 | 4.4 | -108 | -5.1 | -7.7 | 35.5 | 0 | 60.0 | -0.96 | 40.7 | 35.5 |
J. Campbell
|
F | 25 | 12.1 | 3.4 | 2.8 | 0.5 | 0.6 | 0.1 | 1.6 | 3.9 | 1.9 | 77 | 3.7 | 10.9 | 36.1 | 0 | 45.5 | 0.6 | 38.1 | 36.1 |
J. Bila
|
G | 26 | 16.9 | 3.0 | 1.4 | 0.6 | 0.8 | 0.1 | 2.1 | 4.0 | -0.1 | -46 | -2.1 | -5.3 | 29.1 | 23.2 | 100.0 | 0.23 | 37.4 | 35.4 |
T. Rumph
|
G | 4 | 18.0 | 1.0 | 2.2 | 0.5 | 1.8 | 0.0 | 7.2 | 5.5 | -7.2 | 3 | 0.6 | 1.5 | 0.0 | 0.0 | 66.7 | 3.27 | 8.1 | 0.0 |
Abimbola Adewumi
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
R. Sims
|
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