Pennsylvania Quakers
2019 Team Stats (6 games)
68.3
PPG
68.2
Opp
+0.1
Margin
43.0%
FG%
37.4%
3P%
62.3%
FT%
36.2
RPG
12.0
APG
13.5
TO
76.3
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 → | 1202 (#182) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1250 (#146) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.2 (#188) | HCA +2.7 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-18 | @ | Kansas State Wildcats | L | 48 - 64 |
| 2018-11-19 | vs | Oregon State Beavers | L | 58 - 74 |
| 2018-11-27 | @ | Delaware State Hornets | W | 76 - 48 |
| 2018-12-11 | vs | Villanova Wildcats | W | 78 - 75 |
| 2019-02-08 | @ | Brown Bears | W | 92 - 82 |
| 2019-03-16 | @ | Harvard Crimson | L | 58 - 66 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Goodman
|
G | 6 | 33.7 | 13.7 | 3.7 | 1.8 | 1.7 | 0.0 | 2.8 | 9.5 | 8.5 | - | - | - | 50.9 | 33.3 | 82.4 | - | 63.6 | 59.6 |
A. Brodeur
|
F | 6 | 29.3 | 13.3 | 7.7 | 3.0 | 0.3 | 0.5 | 2.5 | 11.5 | 10.8 | - | - | - | 40.6 | 40.0 | 54.1 | - | 46.9 | 43.5 |
M. Wang
|
F | 5 | 20.8 | 9.8 | 4.0 | 0.4 | 0.4 | 0.4 | 1.4 | 6.4 | 7.2 | - | - | - | 46.9 | 40.0 | 81.2 | - | 62.8 | 56.2 |
B. Washington
|
- | 6 | 17.2 | 8.7 | 2.8 | 0.3 | 0.3 | 0.7 | 0.8 | 4.8 | 7.2 | - | - | - | 55.2 | 66.7 | 83.3 | - | 75.8 | 72.4 |
A. Woods
|
C | 6 | 35.2 | 8.2 | 4.7 | 3.0 | 1.0 | 0.3 | 2.0 | 8.3 | 6.8 | 53 | 4.8 | 6.7 | 32.0 | 32.1 | 38.1 | 1.0 | 41.4 | 41.0 |
J. Silpe
|
C | 6 | 24.3 | 7.8 | 3.8 | 0.5 | 1.0 | 0.0 | 1.2 | 4.7 | 7.3 | - | - | - | 53.6 | 35.3 | 78.6 | - | 68.8 | 64.3 |
M. Rothschild
|
C | 6 | 21.0 | 3.8 | 2.7 | 2.3 | 1.2 | 0.2 | 1.5 | 3.5 | 5.2 | - | - | - | 42.9 | 0.0 | 38.5 | - | 43.0 | 42.9 |
J. Donahue
|
C | 6 | 6.7 | 2.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.3 | 2.3 | -0.2 | - | - | - | 28.6 | 36.4 | 0 | - | 42.9 | 42.9 |
E. Scott
|
G | 5 | 2.4 | 1.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.4 | 1.0 | 0.2 | - | - | - | 40.0 | 33.3 | 100.0 | - | 59.5 | 50.0 |
J. Simmons
|
F | 4 | 8.0 | 1.2 | 1.8 | 0.8 | 0.0 | 0.5 | 0.5 | 1.0 | 2.8 | - | - | - | 25.0 | 100.0 | 66.7 | 0.68 | 47.0 | 37.5 |
K. Mijakowski
|
F | 4 | 3.8 | 0.8 | 1.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | 0.8 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
T. Hamilton
|
G | 2 | 7.0 | 0.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 0.0 | 0.0 | 33.3 | -0.27 | 21.6 | 0.0 |
R. Jerome
|
G | 4 | 2.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.2 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Z. Kaminsky
|
C | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Jackson
|
C | 3 | 0.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.7 | - | - | - | 0 | 0 | 0 | 0.07 | 0 | 0 |
A. Imegwu
|
G | 3 | 1.3 | 0.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
G. Ryan
|
G | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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