Marquette Golden Eagles
2023 Team Stats (8 games)
59.5
PPG
67.6
Opp
-8.1
Margin
34.9%
FG%
27.1%
3P%
79.0%
FT%
36.1
RPG
14.1
APG
12.3
TO
81.4
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 → | 1159 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1241 (#65) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.0 (#56) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.643 (#138) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-02 | @ | Georgetown Hoyas | W | 78 - 57 |
| 2022-12-04 | @ | Seton Hall Pirates | L | 78 - 82 |
| 2022-12-31 | @ | UConn Huskies | L | 48 - 61 |
| 2023-01-08 | @ | Creighton Bluejays | L | 42 - 68 |
| 2023-02-01 | @ | Villanova Wildcats | L | 54 - 73 |
| 2023-02-08 | vs | UConn Huskies | W | 59 - 52 |
| 2023-03-05 | @ | UConn Huskies | L | 52 - 81 |
| 2023-03-17 | @ | South Florida Bulls | L | 65 - 67 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Marotta
|
F | 8 | 35.9 | 16.2 | 8.5 | 2.8 | 0.6 | 0.5 | 2.9 | 13.9 | 11.9 | - | - | - | 44.1 | 18.2 | 88.2 | - | 51.6 | 45.0 |
J. King
|
G | 8 | 36.0 | 13.9 | 4.2 | 3.0 | 2.2 | 0.2 | 2.8 | 16.2 | 4.6 | - | - | - | 30.0 | 32.4 | 72.4 | - | 38.9 | 34.6 |
L. Karlen
|
F | 7 | 32.7 | 10.9 | 8.1 | 1.6 | 1.3 | 0.9 | 2.9 | 13.3 | 6.6 | - | - | - | 33.3 | 18.2 | 100.0 | - | 38.7 | 34.4 |
K. Hare
|
G | 8 | 18.2 | 6.8 | 2.0 | 0.6 | 0.2 | 0.0 | 0.5 | 6.0 | 3.1 | - | - | - | 35.4 | 29.7 | 69.2 | - | 50.3 | 46.9 |
E. La Chapell
|
G | 8 | 23.5 | 5.6 | 2.9 | 1.4 | 0.4 | 0.2 | 0.6 | 5.6 | 4.2 | - | - | - | 40.0 | 36.8 | 66.7 | - | 48.6 | 47.8 |
C. Kaifes
|
G | 4 | 16.8 | 3.5 | 3.2 | 1.2 | 0.2 | 0.0 | 0.2 | 3.0 | 5.0 | - | - | - | 50.0 | 25.0 | 0 | - | 58.3 | 58.3 |
R. Nkumu
|
G | 8 | 30.9 | 3.4 | 3.1 | 2.2 | 1.6 | 0.0 | 1.0 | 5.0 | 4.4 | - | - | - | 27.5 | 9.1 | 66.7 | - | 31.7 | 28.7 |
N. Clark
|
G | 6 | 10.2 | 2.0 | 1.0 | 0.8 | 0.3 | 0.2 | 0.7 | 2.7 | 1.0 | - | - | - | 25.0 | 22.2 | 100.0 | - | 35.5 | 31.2 |
K. Myles
|
F | 7 | 9.4 | 0.7 | 1.3 | 1.4 | 0.3 | 0.3 | 0.9 | 1.1 | 2.0 | - | - | - | 25.0 | 0 | 25.0 | - | 25.6 | 25.0 |
M. Williams
|
G | 3 | 8.3 | 0.7 | 1.0 | 0.0 | 0.0 | 0.3 | 0.3 | 1.3 | 0.3 | - | - | - | 0.0 | 0.0 | 100.0 | - | 20.5 | 0.0 |
J. Okosun
|
F | 2 | 7.0 | 0.0 | 0.5 | 1.0 | 0.0 | 0.5 | 0.5 | 0.0 | 1.5 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
C. Smith
|
F | 3 | 2.3 | 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
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