Marquette Golden Eagles
2019 Team Stats (32 games)
81.7
PPG
62.2
Opp
+19.5
Margin
46.2%
FG%
37.4%
3P%
74.5%
FT%
41.6
RPG
17.3
APG
13.0
TO
85.8
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 → | 1315 (#52) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1402 (#30) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.9 (#22) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.887 (#59) | - |
2019 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Natisha Hiedeman
|
- | 32 | 32.8 | 18.2 | 6.2 | 4.3 | 2.0 | 0.5 | 2.2 | 14.5 | 14.5 | - | - | - | 44.3 | 39.5 | 73.7 | 2.82 | 56.7 | 53.8 |
A. Blockton
|
G | 27 | 24.8 | 14.0 | 4.3 | 2.2 | 0.7 | 0.3 | 1.6 | 12.3 | 7.6 | - | - | - | 45.3 | 38.3 | 85.4 | 0.36 | 53.8 | 51.5 |
D. King
|
G | 31 | 30.1 | 12.0 | 4.1 | 3.6 | 1.3 | 0.1 | 1.9 | 9.0 | 10.1 | - | - | - | 45.7 | 33.8 | 83.3 | 0.46 | 56.8 | 50.4 |
E. Davenport
|
F | 24 | 23.4 | 11.9 | 9.6 | 1.2 | 1.0 | 0.4 | 1.9 | 8.7 | 13.6 | - | - | - | 58.9 | 50.0 | 62.1 | 1.75 | 60.8 | 59.6 |
A. Wilborn
|
G | 32 | 30.2 | 11.5 | 4.1 | 3.4 | 1.0 | 0.2 | 1.7 | 9.1 | 9.4 | - | - | - | 44.7 | 30.9 | 72.8 | 1.36 | 53.2 | 47.6 |
S. Lott
|
G | 32 | 27.6 | 7.3 | 3.5 | 1.5 | 2.1 | 0.6 | 1.1 | 4.7 | 9.1 | - | - | - | 53.7 | 45.1 | 68.5 | 1.64 | 67.7 | 66.1 |
I. Spingola
|
G | 32 | 14.5 | 5.2 | 2.2 | 0.6 | 0.3 | 0.1 | 0.7 | 4.3 | 3.3 | - | - | - | 40.1 | 38.6 | 100.0 | 2.77 | 58.2 | 56.2 |
L. Van Kleunen
|
F | 31 | 15.8 | 4.4 | 3.8 | 0.7 | 0.6 | 0.3 | 0.7 | 4.2 | 4.9 | - | - | - | 38.8 | 21.9 | 78.4 | 0.61 | 46.8 | 41.5 |
C. Marotta
|
F | 23 | 6.7 | 2.2 | 2.0 | 0.3 | 0.2 | 0.1 | 0.7 | 1.5 | 2.8 | - | - | - | 50.0 | 33.3 | 66.7 | 0.5 | 57.2 | 51.5 |
A. Anderson
|
F | 27 | 5.8 | 1.0 | 1.9 | 0.2 | 0.2 | 0.4 | 0.6 | 0.8 | 2.1 | 40 | 0.9 | 8.8 | 45.5 | 50.0 | 54.5 | 1.44 | 50.3 | 47.7 |
S. Dahling
|
F | 17 | 4.3 | 0.5 | 0.2 | 0.4 | 0.1 | 0.1 | 0.2 | 0.9 | 0.2 | - | - | - | 26.7 | 0.0 | 50.0 | -0.87 | 28.3 | 26.7 |
A. Maqueia
|
C | 9 | 2.8 | 0.4 | 0.6 | 0.2 | 0.1 | 0.1 | 0.3 | 0.7 | 0.4 | - | - | - | 33.3 | 0 | 0 | -0.1 | 33.3 | 33.3 |
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