Bucknell
2026 Team Stats (30 games)
67.7
PPG
77.1
Opp
-9.4
Margin
42.1%
FG%
31.4%
3P%
76.3%
FT%
31.5
RPG
12.7
APG
13.1
TO
76.7
Pace
66.0
AdjO
78.9
AdjD
#327
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 → | 806 (#326) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 763 (#338) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 928 (#627) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -13.2 (#330) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.3 (#366) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.193 (#333) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.400 (#198) | NetEff -4.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.120 (#330) | AdjNet -17.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.116 (#330) | AdjNet -17.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.236 (#327) | AdjO 66.0 | AdjD 78.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.373 (#655) | AdjO 68.7 | AdjD 74.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.443 (#376) | 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 → | 0.413 (#391) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 834 (#634) | RD 155 | GP 30 |
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. Dörries
|
- | 30 | 32.6 | 16.6 | 4.4 | 1.4 | 0.8 | 0.4 | 2.8 | 11.5 | 9.2 | -189 | -8.2 | -13.0 | 54.6 | 34.6 | 76.7 | -1.58 | 62.3 | 58.5 |
Pat Curtin
|
- | 26 | 24.9 | 12.6 | 4.3 | 1.5 | 1.4 | 0.0 | 1.8 | 10.5 | 7.5 | -36 | -2.0 | -4.6 | 42.0 | 27.4 | 79.5 | -0.13 | 52.7 | 47.6 |
R. Bijiek
|
F | 11 | 29.4 | 12.4 | 5.3 | 0.7 | 0.7 | 0.9 | 2.7 | 10.5 | 6.8 | -94 | -6.7 | -17.8 | 35.7 | 28.6 | 87.2 | -0.94 | 51.5 | 44.3 |
A. Spadone
|
G | 30 | 34.8 | 12.3 | 6.2 | 1.9 | 1.8 | 0.2 | 1.9 | 10.6 | 9.9 | -147 | -6.1 | -9.6 | 40.8 | 29.8 | 78.7 | -0.98 | 51.5 | 46.9 |
J. Williams
|
G | 30 | 32.6 | 7.6 | 3.0 | 4.1 | 1.4 | 0.1 | 1.7 | 7.6 | 6.8 | -94 | -4.1 | -6.4 | 32.2 | 32.4 | 81.0 | -0.3 | 44.9 | 39.6 |
B. McCreesh
|
G | 8 | 27.6 | 7.4 | 3.1 | 1.6 | 0.5 | 0.5 | 0.8 | 6.4 | 6.0 | -56 | -7.0 | -17.1 | 41.2 | 37.5 | 62.5 | -0.01 | 54.1 | 52.9 |
A. Pachucki
|
G | 30 | 20.5 | 5.8 | 2.6 | 0.7 | 0.4 | 0.0 | 0.7 | 4.8 | 4.0 | -116 | -5.0 | -14.4 | 41.7 | 36.5 | 69.6 | -1.21 | 56.4 | 54.9 |
G. Brcic
|
- | 16 | 15.7 | 3.8 | 4.0 | 0.4 | 0.2 | 0.5 | 0.7 | 2.8 | 5.4 | -70 | -4.4 | -11.2 | 56.8 | 0 | 50.0 | -0.46 | 56.8 | 56.8 |
Q. Berger
|
- | 27 | 15.9 | 3.0 | 1.5 | 0.7 | 0.5 | 0.0 | 0.9 | 2.8 | 2.1 | -23 | -1.2 | -3.7 | 36.0 | 33.9 | 70.0 | 0.17 | 50.4 | 48.7 |
J. Fulton
|
- | 8 | 10.9 | 2.2 | 2.4 | 1.2 | 1.0 | 0.0 | 1.0 | 1.0 | 4.9 | -23 | -2.9 | -10.9 | 75.0 | 0.0 | 85.7 | -0.22 | 81.2 | 75.0 |
P. O'Brien
|
- | 19 | 10.3 | 2.2 | 1.3 | 0.2 | 0.1 | 0.3 | 0.2 | 1.6 | 2.2 | -31 | -2.1 | -12.7 | 33.3 | 12.5 | 70.4 | -0.07 | 48.9 | 36.7 |
Jacob Meachem
|
- | 27 | 10.0 | 1.3 | 0.4 | 1.5 | 0.3 | 0.0 | 1.0 | 1.7 | 0.9 | -89 | -4.2 | -17.2 | 23.9 | 30.0 | 76.9 | -0.95 | 33.8 | 27.2 |
M. Lange
|
- | 8 | 2.2 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.5 | -2 | -0.3 | -5.7 | 100.0 | 100.0 | 25.0 | -0.03 | 72.5 | 150.0 |
K. Welch
|
- | 10 | 1.7 | 0.3 | 0.6 | 0.0 | 0.1 | 0.1 | 0.0 | 0.6 | 0.5 | 4 | 0.8 | 16.1 | 16.7 | 0.0 | 50.0 | 0.07 | 21.8 | 16.7 |
B. Muller
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 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