Pennsylvania Quakers
2017 Team Stats (8 games)
66.6
PPG
67.5
Opp
-0.9
Margin
40.9%
FG%
34.0%
3P%
69.7%
FT%
37.1
RPG
14.4
APG
14.0
TO
78.7
Pace
Model Outputs
2016-2017
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 → | 1236 (#179) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1299 (#132) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.1 (#175) | HCA +2.8 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.191 (#69) | NetEff -11.8 |
2017 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2016-11-29 | vs | Villanova Wildcats | L | 57 - 82 |
| 2016-12-12 | @ | UCF Knights | W | 58 - 49 |
| 2017-01-13 | vs | Yale Bulldogs | L | 60 - 68 |
| 2017-02-03 | @ | Harvard Crimson | L | 59 - 69 |
| 2017-02-10 | vs | Columbia Lions | W | 70 - 62 |
| 2017-02-17 | @ | Brown Bears | W | 96 - 72 |
| 2017-02-24 | @ | Cornell Big Red | W | 69 - 66 |
| 2017-03-11 | @ | Princeton Tigers | L | 64 - 72 |
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Betley
|
G | 6 | 29.2 | 12.3 | 6.3 | 1.5 | 1.2 | 1.0 | 1.0 | 9.7 | 11.7 | - | - | - | 46.6 | 37.5 | 88.9 | - | 59.7 | 56.9 |
M. Howard
|
G | 8 | 30.6 | 10.9 | 6.6 | 0.8 | 0.2 | 0.4 | 2.5 | 9.5 | 6.9 | - | - | - | 43.4 | 36.1 | 44.4 | - | 51.8 | 52.0 |
A. Brodeur
|
F | 8 | 33.0 | 10.9 | 7.5 | 2.2 | 1.2 | 2.2 | 2.5 | 10.5 | 11.1 | - | - | - | 44.0 | 0.0 | 56.5 | - | 46.2 | 44.0 |
J. Donahue
|
C | 8 | 17.4 | 7.9 | 0.8 | 1.4 | 0.4 | 0.0 | 1.0 | 7.1 | 2.2 | - | - | - | 40.4 | 34.0 | 33.3 | - | 54.0 | 54.4 |
D. Foreman
|
C | 8 | 30.8 | 7.4 | 3.2 | 4.1 | 0.2 | 0.0 | 2.8 | 7.4 | 4.9 | - | - | - | 30.5 | 27.3 | 85.0 | - | 43.5 | 35.6 |
S. Jones
|
C | 6 | 12.2 | 6.2 | 1.2 | 1.0 | 0.0 | 0.0 | 0.3 | 4.3 | 3.7 | -4 | -0.8 | -3.5 | 46.2 | 44.0 | 100.0 | 0.24 | 68.8 | 67.3 |
D. Goodman
|
G | 8 | 19.5 | 5.4 | 2.2 | 1.6 | 0.6 | 0.1 | 1.6 | 5.8 | 2.6 | - | - | - | 32.6 | 31.8 | 85.7 | - | 43.8 | 40.2 |
M. MacDonald
|
G | 6 | 15.7 | 4.2 | 1.5 | 1.0 | 0.3 | 0.0 | 0.0 | 2.8 | 4.2 | - | - | - | 52.9 | 41.7 | 66.7 | - | 68.2 | 67.6 |
C. Wood
|
C | 5 | 12.6 | 3.8 | 1.6 | 0.4 | 0.6 | 0.0 | 1.4 | 3.0 | 2.0 | - | - | - | 26.7 | 23.1 | 100.0 | - | 51.3 | 36.7 |
M. Rothschild
|
C | 7 | 10.7 | 3.6 | 3.6 | 0.7 | 1.0 | 0.1 | 1.0 | 2.6 | 5.4 | - | - | - | 55.6 | 0 | 62.5 | - | 58.1 | 55.6 |
T. Hamilton
|
G | 7 | 9.1 | 1.7 | 1.7 | 0.3 | 0.4 | 0.0 | 0.4 | 1.7 | 2.0 | - | - | - | 25.0 | 0.0 | 75.0 | -0.27 | 38.7 | 25.0 |
D. Dwyer
|
C | 2 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.5 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
J. Silpe
|
C | 3 | 5.7 | 0.0 | 0.7 | 1.3 | 0.3 | 0.0 | 0.3 | 0.3 | 1.7 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
C. McManus
|
C | 3 | 1.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
R. Jerome
|
G | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Mijakowski
|
F | 3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 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