Pennsylvania Quakers
2022 Team Stats (3 games)
51.7
PPG
66.0
Opp
-14.3
Margin
33.7%
FG%
26.1%
3P%
79.5%
FT%
38.7
RPG
8.0
APG
20.7
TO
81.7
Pace
Model Outputs
2021-2022
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 → | 1082 (#135) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1086 (#162) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.6 (#140) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.735 (#101) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-22 | vs | Villanova Wildcats | L | 63 - 66 |
| 2021-11-30 | vs | La Salle Explorers | L | 49 - 63 |
| 2022-03-04 | @ | Princeton Tigers | L | 43 - 69 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Obi
|
G | 3 | 37.0 | 17.7 | 8.7 | 0.3 | 0.3 | 0.7 | 5.0 | 13.7 | 9.0 | -11 | -0.7 | -4.1 | 46.3 | 44.4 | 68.8 | 0.89 | 55.2 | 51.2 |
M. Lakstigala
|
G | 2 | 36.0 | 14.0 | 5.5 | 1.5 | 0.5 | 0.5 | 3.5 | 13.0 | 5.5 | - | - | - | 34.6 | 30.8 | 100.0 | 0.29 | 48.9 | 42.3 |
K. Padilla
|
G | 1 | 38.0 | 12.0 | 3.0 | 3.0 | 2.0 | 0.0 | 4.0 | 13.0 | 3.0 | 13 | 1.2 | 5.0 | 30.8 | 50.0 | 100.0 | 0.91 | 43.2 | 38.5 |
M. McGurk
|
G | 3 | 26.3 | 6.7 | 3.3 | 1.3 | 2.0 | 0.0 | 1.3 | 9.7 | 2.3 | -22 | -1.4 | -10.8 | 31.0 | 0.0 | 100.0 | 0.66 | 33.5 | 31.0 |
L. Groetsch
|
G | 3 | 16.0 | 4.0 | 2.0 | 1.0 | 2.0 | 0.3 | 2.3 | 3.7 | 3.3 | - | - | - | 45.5 | 0.0 | 100.0 | 0.2 | 50.5 | 45.5 |
S. Almqvist
|
G | 3 | 12.3 | 3.0 | 2.3 | 0.3 | 0.3 | 0.3 | 2.0 | 3.0 | 1.3 | 11 | 0.7 | 5.5 | 44.4 | 50.0 | 0.0 | 0.59 | 47.7 | 50.0 |
S. Caldwell
|
G | 3 | 17.7 | 2.7 | 2.3 | 0.7 | 1.7 | 0.0 | 2.7 | 2.7 | 2.0 | - | - | - | 12.5 | 0.0 | 100.0 | 0.35 | 37.6 | 12.5 |
M. Papazoglou
|
G | 3 | 8.3 | 1.7 | 1.0 | 0.3 | 0.3 | 0.0 | 0.7 | 1.7 | 1.0 | 7 | 0.9 | 6.1 | 40.0 | 33.3 | 0 | 0.15 | 50.0 | 50.0 |
M. Stanfield
|
G | 3 | 12.0 | 1.3 | 1.7 | 0.3 | 0.3 | 0.0 | 0.3 | 2.7 | 0.7 | - | - | - | 25.0 | 0.0 | 0 | 0.4 | 25.0 | 25.0 |
K. Suttle
|
F | 2 | 31.5 | 1.0 | 8.0 | 1.5 | 3.0 | 0.5 | 2.5 | 5.0 | 6.5 | - | - | - | 0.0 | 0.0 | 100.0 | 1.03 | 9.2 | 0.0 |
S. Milliman
|
F | 2 | 16.0 | 1.0 | 4.5 | 1.0 | 0.5 | 2.5 | 0.0 | 2.5 | 7.0 | - | - | - | 20.0 | 0.0 | 0 | 0.52 | 20.0 | 20.0 |
N. Kovacikova
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | 0.41 | 0.0 | 0.0 |
M. Hair
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -0.53 | 0 | 0 |
F. Parker
|
F | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 27 | 6.8 | 26.5 | 0 | 0 | 0.0 | 0.16 | 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