Pennsylvania Quakers
2024 Team Stats (4 games)
64.0
PPG
64.2
Opp
-0.2
Margin
42.7%
FG%
32.5%
3P%
69.8%
FT%
35.5
RPG
12.8
APG
16.0
TO
78.1
Pace
Model Outputs
2023-2024
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 → | 1034 (#171) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1129 (#123) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.4 (#133) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.789 (#84) | - |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-03 | @ | Marquette Golden Eagles | L | 52 - 87 |
| 2023-12-08 | @ | Merrimack Warriors | W | 71 - 62 |
| 2024-02-10 | vs | Princeton Tigers | L | 54 - 67 |
| 2024-03-01 | vs | Dartmouth Big Green | W | 79 - 41 |
2024 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 | 4 | 32.8 | 18.0 | 9.5 | 1.2 | 0.8 | 2.2 | 2.8 | 12.0 | 17.0 | 21 | 3.0 | 3.0 | 54.2 | 42.9 | 82.4 | -0.02 | 64.9 | 60.4 |
M. Gayle
|
G | 4 | 33.0 | 16.0 | 2.0 | 3.0 | 2.0 | 0.0 | 3.0 | 15.2 | 4.8 | 33 | 4.7 | 5.3 | 41.0 | 33.3 | 83.3 | 0.32 | 50.3 | 48.4 |
S. Almqvist
|
G | 4 | 27.0 | 8.2 | 6.0 | 2.5 | 0.2 | 1.2 | 3.5 | 8.8 | 6.0 | 50 | 7.1 | 7.7 | 40.0 | 20.0 | 50.0 | 0.72 | 42.8 | 41.4 |
E. Ogbevire
|
G | 4 | 14.8 | 5.2 | 1.8 | 1.0 | 0.2 | 0.0 | 1.0 | 3.5 | 3.8 | -19 | -2.7 | -4.3 | 42.9 | 60.0 | 60.0 | -0.15 | 57.1 | 53.6 |
F. Toonders
|
F | 4 | 16.8 | 4.5 | 3.5 | 0.8 | 0.0 | 0.5 | 1.5 | 2.8 | 5.0 | -21 | -3.0 | -5.7 | 72.7 | 0 | 50.0 | -0.22 | 70.5 | 72.7 |
A. Sharpe
|
G | 2 | 16.0 | 3.0 | 1.0 | 0.0 | 0.5 | 0.0 | 1.0 | 3.0 | 0.5 | - | - | - | 50.0 | 0.0 | 0.0 | - | 46.6 | 50.0 |
L. Groetsch
|
G | 4 | 30.2 | 2.2 | 4.0 | 2.5 | 0.8 | 0.8 | 1.2 | 3.2 | 5.8 | 31 | 4.4 | 5.2 | 15.4 | 0.0 | 83.3 | 0.29 | 28.8 | 15.4 |
S. Sawyer
|
G | 4 | 12.5 | 2.2 | 2.2 | 0.0 | 0.0 | 0.2 | 0.2 | 2.8 | 1.8 | 40 | 5.7 | 7.4 | 27.3 | 28.6 | 100.0 | 0.37 | 39.3 | 36.4 |
S. Caldwell
|
G | 3 | 8.3 | 2.0 | 0.7 | 1.0 | 0.3 | 0.0 | 0.3 | 2.0 | 1.7 | -2 | -0.3 | -0.8 | 33.3 | 33.3 | 0 | 0.01 | 50.0 | 50.0 |
M. Papazoglou
|
G | 4 | 7.5 | 2.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.5 | 1.0 | - | - | - | 50.0 | 50.0 | 0 | - | 66.7 | 66.7 |
H. Lasic
|
F | 1 | 5.0 | 2.0 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 3.0 | 4.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
M. Stanfield
|
G | 3 | 6.0 | 1.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 2.0 | 0.0 | -20 | -4.0 | -17.2 | 33.3 | 33.3 | 0 | -0.28 | 41.7 | 41.7 |
G. Heine
|
G | 2 | 5.5 | 1.5 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 1.5 | 1.0 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
I. Rogers
|
F | 2 | 5.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.5 | 0.0 | 1.0 | 0.5 | - | - | - | 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