Bucknell Bison
2026 Team Stats (27 games)
51.9
PPG
56.6
Opp
-4.7
Margin
38.1%
FG%
27.5%
3P%
72.6%
FT%
29.9
RPG
11.1
APG
14.5
TO
70.2
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 → | 935 (#492) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.9 (#307) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.384 (#476) | AdjO 52.3 | AdjD 57.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.444 (#320) | 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 → | 0.421 (#321) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 851 (#495) | RD 148 | GP 27 |
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. Coskun
|
F | 26 | 31.7 | 13.3 | 2.2 | 2.0 | 0.8 | 0.3 | 2.0 | 12.6 | 4.0 | 106 | 4.8 | 5.9 | 40.2 | 31.1 | 86.8 | 3.5 | 49.4 | 45.9 |
E. Weisman
|
G | 7 | 24.0 | 9.4 | 3.9 | 1.0 | 1.1 | 0.4 | 1.9 | 9.0 | 5.0 | -24 | -2.7 | -3.7 | 36.5 | 29.4 | 83.3 | -1.77 | 46.5 | 40.5 |
R. Zemitis
|
G | 24 | 33.9 | 8.9 | 4.0 | 1.1 | 0.9 | 0.9 | 1.6 | 9.4 | 4.8 | -3 | -0.1 | -0.2 | 33.2 | 27.9 | 73.5 | -1.02 | 44.4 | 41.8 |
I. Casey
|
G | 27 | 28.6 | 7.1 | 3.7 | 1.0 | 0.9 | 0.1 | 1.6 | 7.0 | 4.2 | 48 | 2.1 | 2.6 | 37.9 | 30.6 | 67.5 | -0.53 | 46.5 | 43.7 |
M. Hardy
|
F | 24 | 17.0 | 5.0 | 3.5 | 1.1 | 0.5 | 0.4 | 1.1 | 4.2 | 5.0 | 89 | 4.7 | 14.1 | 46.5 | 20.0 | 66.7 | 3.89 | 51.5 | 48.0 |
A. Kunzwiler
|
G | 27 | 30.0 | 4.6 | 4.5 | 1.3 | 1.0 | 0.7 | 1.7 | 4.2 | 6.2 | 115 | 5.0 | 7.1 | 40.7 | 26.7 | 65.6 | 1.24 | 49.2 | 46.0 |
D. Ashton
|
F | 24 | 12.0 | 4.0 | 2.5 | 0.5 | 0.8 | 0.7 | 0.9 | 3.4 | 4.2 | 24 | 1.2 | 5.0 | 48.8 | 33.3 | 54.5 | -1.08 | 52.9 | 51.8 |
E. Kreuzer
|
G | 24 | 17.6 | 3.4 | 1.1 | 1.3 | 0.9 | 0.0 | 1.2 | 3.1 | 2.5 | -63 | -3.1 | -6.8 | 31.1 | 27.7 | 75.9 | -2.59 | 46.7 | 39.9 |
K. Richards
|
G | 27 | 12.7 | 2.9 | 1.6 | 0.7 | 0.4 | 0.0 | 1.7 | 3.6 | 0.4 | 4 | 0.2 | 0.4 | 30.9 | 31.2 | 76.5 | -2.85 | 37.3 | 33.5 |
H. Masonius
|
G | 22 | 12.7 | 2.4 | 1.6 | 1.3 | 0.9 | 0.0 | 1.7 | 3.0 | 1.5 | 12 | 0.7 | 2.1 | 32.8 | 0.0 | 66.7 | -0.73 | 36.0 | 32.8 |
E. Houghton
|
F | 17 | 16.5 | 1.5 | 2.7 | 2.1 | 1.1 | 0.7 | 0.9 | 1.9 | 5.2 | 37 | 1.9 | 3.9 | 36.4 | 0.0 | 50.0 | 0.83 | 36.9 | 36.4 |
G. Backus
|
G | 2 | 2.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | -6 | -2.0 | -187.0 | 100.0 | 0 | 0 | -1.2 | 100.0 | 100.0 |
M. Smith
|
F | 3 | 3.7 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | 71 | 3.2 | 14.3 | 50.0 | 0 | 0 | 1.67 | 50.0 | 50.0 |
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