Purdue Fort Wayne Mastodons
2026 Team Stats (30 games)
70.0
PPG
63.9
Opp
+7.2
Margin
43.6%
FG%
30.3%
3P%
71.9%
FT%
33.1
RPG
12.1
APG
14.1
TO
80.4
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 → | 1074 (#94) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.3 (#117) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.641 (#100) | AdjO 69.7 | AdjD 63.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.823 (#125) | 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 → | 0.799 (#114) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1076 (#156) | RD 106 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Nelson
|
F | 31 | 33.9 | 16.4 | 5.2 | 1.2 | 1.0 | 0.2 | 1.8 | 11.4 | 10.8 | 97 | 4.4 | 6.4 | 50.3 | 38.6 | 79.3 | 3.11 | 63.4 | 59.7 |
L. Krasovec
|
F | 31 | 24.3 | 12.1 | 5.7 | 1.4 | 1.5 | 0.9 | 2.7 | 8.7 | 10.2 | 106 | 4.2 | 7.1 | 56.7 | 8.3 | 81.0 | 4.65 | 61.1 | 56.9 |
J. Reid
|
F | 31 | 30.9 | 10.4 | 4.6 | 1.7 | 2.3 | 0.3 | 1.7 | 9.9 | 7.8 | -11 | -0.4 | -0.6 | 39.5 | 24.7 | 61.6 | -3.7 | 46.1 | 42.6 |
R. Bess
|
G | 31 | 25.9 | 9.0 | 2.7 | 1.2 | 1.3 | 0.1 | 1.0 | 7.3 | 6.0 | 71 | 2.8 | 5.4 | 39.8 | 38.1 | 82.0 | 1.86 | 56.5 | 52.9 |
L. Lee
|
G | 31 | 30.1 | 6.0 | 3.3 | 3.5 | 1.2 | 0.1 | 1.6 | 5.0 | 7.5 | -52 | -13.0 | -1200.0 | 40.4 | 22.6 | 68.1 | -1.09 | 49.8 | 44.2 |
H. Offing
|
F | 24 | 8.7 | 4.5 | 1.8 | 0.1 | 0.3 | 0.2 | 1.1 | 3.5 | 2.3 | -8 | -0.5 | -2.2 | 53.6 | 0 | 86.4 | -0.65 | 58.2 | 53.6 |
N. Lokica
|
G | 31 | 15.2 | 4.2 | 1.9 | 1.3 | 0.5 | 0.0 | 1.2 | 4.4 | 2.3 | 50 | 2.0 | 4.0 | 40.7 | 14.6 | 53.6 | 1.53 | 44.5 | 43.0 |
E. Riggs
|
G | 31 | 14.6 | 3.5 | 2.1 | 0.6 | 0.5 | 0.1 | 1.0 | 3.7 | 2.0 | -2 | -0.1 | -0.2 | 34.5 | 30.6 | 54.5 | -2.92 | 44.7 | 44.0 |
D. Macharia
|
G | 30 | 10.3 | 3.3 | 1.2 | 0.8 | 0.2 | 0.0 | 1.1 | 3.9 | 0.5 | -46 | -1.8 | -8.3 | 32.2 | 27.4 | 44.4 | -2.48 | 41.0 | 40.7 |
A. Wagner
|
F | 29 | 7.6 | 2.1 | 2.0 | 0.6 | 0.1 | 0.7 | 0.4 | 1.8 | 3.3 | 87 | 3.6 | 24.2 | 44.2 | 30.4 | 60.0 | 3.83 | 52.9 | 51.0 |
B. Duck
|
G | 21 | 4.2 | 1.1 | 0.4 | 0.2 | 0.1 | 0.0 | 0.4 | 1.2 | 0.3 | 1 | 0.1 | 0.4 | 36.0 | 10.0 | 80.0 | -1.07 | 42.3 | 38.0 |
A. Berry
|
G | 2 | 3.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 1.5 | 0.5 | -1.0 | 102 | 4.4 | 11.9 | 0.0 | 0.0 | 0 | 2.04 | 0.0 | 0.0 |
Claire Gregwer
|
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