Pennsylvania Quakers
2023 Team Stats (4 games)
45.0
PPG
63.2
Opp
-18.2
Margin
30.8%
FG%
25.4%
3P%
77.1%
FT%
33.3
RPG
7.5
APG
17.5
TO
74.8
Pace
Model Outputs
2022-2023
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 → | 1091 (#134) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1082 (#170) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.6 (#142) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.735 (#103) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-17 | vs | Villanova Wildcats | L | 41 - 67 |
| 2023-01-16 | @ | Princeton Tigers | L | 40 - 55 |
| 2023-03-03 | vs | Princeton Tigers | L | 52 - 71 |
| 2023-03-10 | @ | Princeton Tigers | L | 47 - 60 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Padilla
|
G | 4 | 38.2 | 15.0 | 5.0 | 1.8 | 1.2 | 0.2 | 3.0 | 18.0 | 2.2 | - | - | - | 29.2 | 28.6 | 85.7 | - | 38.4 | 33.3 |
J. Obi
|
G | 4 | 34.0 | 12.5 | 7.2 | 0.8 | 0.8 | 0.5 | 3.2 | 12.2 | 6.2 | - | - | - | 38.8 | 28.6 | 100.0 | - | 47.6 | 42.9 |
M. McGurk
|
G | 4 | 35.0 | 6.2 | 2.8 | 1.0 | 1.0 | 0.0 | 2.0 | 7.2 | 1.8 | - | - | - | 31.0 | 37.5 | 100.0 | - | 40.6 | 36.2 |
F. Toonders
|
F | 4 | 29.2 | 3.2 | 6.5 | 2.0 | 0.2 | 0.2 | 4.0 | 2.5 | 5.8 | - | - | - | 50.0 | 100.0 | 50.0 | - | 55.3 | 55.0 |
S. Almqvist
|
G | 4 | 12.5 | 2.8 | 1.5 | 0.5 | 0.2 | 0.0 | 0.2 | 4.2 | 0.5 | - | - | - | 17.6 | 0.0 | 83.3 | - | 28.0 | 17.6 |
S. Caldwell
|
G | 4 | 15.5 | 1.5 | 2.0 | 0.5 | 0.8 | 0.0 | 0.8 | 2.0 | 2.0 | - | - | - | 12.5 | 0.0 | 66.7 | - | 28.2 | 12.5 |
M. Papazoglou
|
G | 2 | 3.5 | 1.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
F. Parker
|
F | 4 | 5.5 | 1.2 | 1.2 | 0.0 | 0.0 | 1.0 | 1.0 | 1.5 | 1.0 | - | - | - | 33.3 | 0 | 100.0 | - | 38.8 | 33.3 |
M. Stanfield
|
G | 2 | 9.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | 1.0 | - | - | - | 33.3 | 0 | 0.0 | - | 25.8 | 33.3 |
S. Milliman
|
F | 4 | 4.8 | 0.5 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.8 | 0.8 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
S. Sawyer
|
G | 4 | 11.2 | 0.5 | 1.2 | 0.5 | 0.2 | 0.2 | 1.0 | 1.8 | 0.0 | - | - | - | 14.3 | 0.0 | 0.0 | - | 13.4 | 14.3 |
S. Caldwell
|
G | 3 | 4.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | -0.7 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
I. Rogers
|
F | 3 | 2.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
L. Groetsch
|
G | 3 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
G. Heine
|
G | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | -0.3 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
H. Lasic
|
F | 1 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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