Bucknell Bison
2019 Team Stats (8 games)
76.0
PPG
60.0
Opp
+16.0
Margin
48.7%
FG%
39.3%
3P%
77.3%
FT%
34.5
RPG
17.0
APG
16.8
TO
78.9
Pace
Model Outputs
2018-2019
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 → | 859 (#424) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1150 (#130) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.3 (#131) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.840 (#75) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-18 | @ | Syracuse Orange | L | 56 - 70 |
| 2018-11-25 | @ | Brown Bears | W | 91 - 78 |
| 2019-02-27 | vs | Navy Midshipmen | W | 90 - 48 |
| 2019-03-06 | vs | Army Black Knights | W | 84 - 66 |
| 2019-03-11 | vs | Loyola Maryland Greyhounds | W | 88 - 63 |
| 2019-03-14 | vs | Holy Cross Crusaders | W | 66 - 31 |
| 2019-03-17 | vs | American University Eagles | W | 66 - 54 |
| 2019-03-22 | @ | Florida State Seminoles | L | 67 - 70 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Mack
|
F | 8 | 30.6 | 14.9 | 6.5 | 2.5 | 1.1 | 1.2 | 2.0 | 11.4 | 12.9 | - | - | - | 48.4 | 45.0 | 92.9 | 1.35 | 61.2 | 58.2 |
K. Slagus
|
F | 8 | 25.2 | 13.5 | 5.6 | 1.0 | 0.9 | 1.1 | 2.5 | 7.8 | 11.9 | - | - | - | 58.1 | 31.0 | 79.4 | 1.22 | 70.2 | 65.3 |
K. Walker
|
G | 8 | 29.2 | 12.1 | 4.5 | 3.1 | 1.1 | 0.0 | 2.5 | 8.6 | 9.8 | - | - | - | 50.7 | 26.1 | 84.0 | 0.76 | 60.6 | 55.1 |
A. Kapp
|
G | 8 | 26.1 | 10.9 | 3.5 | 1.4 | 1.8 | 0.2 | 2.0 | 6.9 | 8.9 | - | - | - | 56.4 | 55.3 | 66.7 | 1.41 | 75.5 | 75.5 |
K. English
|
G | 8 | 28.4 | 8.1 | 2.0 | 3.9 | 1.8 | 0.1 | 2.2 | 6.8 | 6.9 | - | - | - | 40.7 | 35.3 | 71.4 | 1.25 | 51.4 | 46.3 |
A. Johnson
|
G | 7 | 11.1 | 3.4 | 1.3 | 1.0 | 0.1 | 0.0 | 0.6 | 2.6 | 2.7 | 53 | 2.2 | 10.5 | 38.9 | 42.9 | 100.0 | 0.22 | 60.7 | 55.6 |
T. O'Brien
|
G | 7 | 10.4 | 3.4 | 1.7 | 0.9 | 0.9 | 0.1 | 1.4 | 3.9 | 1.7 | - | - | - | 29.6 | 10.0 | 87.5 | 1.26 | 39.3 | 31.5 |
A. Ceppi
|
F | 8 | 15.5 | 3.1 | 3.1 | 1.6 | 0.4 | 0.4 | 1.8 | 2.6 | 4.2 | - | - | - | 52.4 | 14.3 | 40.0 | 0.6 | 53.9 | 54.8 |
M. Walls
|
G | 8 | 9.4 | 2.2 | 1.0 | 0.6 | 0.5 | 0.0 | 0.8 | 2.1 | 1.5 | - | - | - | 23.5 | 40.0 | 100.0 | 2.03 | 43.9 | 29.4 |
R. Dumiak
|
G | 7 | 7.7 | 2.0 | 0.7 | 0.4 | 0.1 | 0.0 | 0.1 | 0.9 | 2.3 | - | - | - | 83.3 | 80.0 | 0.0 | 0.45 | 101.7 | 116.7 |
T. Brugler
|
F | 6 | 6.3 | 2.0 | 0.8 | 0.2 | 0.2 | 0.2 | 0.5 | 1.3 | 1.5 | - | - | - | 62.5 | 0 | 40.0 | 0.57 | 58.8 | 62.5 |
M. Mikkelsen
|
F | 6 | 4.8 | 1.8 | 0.7 | 1.0 | 0.5 | 0.0 | 0.3 | 1.0 | 2.7 | - | - | - | 50.0 | 33.3 | 66.7 | 1.13 | 63.7 | 58.3 |
G. Hayes
|
G | 3 | 4.0 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.7 | - | - | - | 100.0 | 0 | 66.7 | 0.31 | 86.2 | 100.0 |
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