Marquette Golden Eagles
2018 Team Stats (13 games)
79.1
PPG
76.7
Opp
+2.4
Margin
42.7%
FG%
32.2%
3P%
69.6%
FT%
37.1
RPG
15.0
APG
12.0
TO
89.4
Pace
Model Outputs
2017-2018
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 → | 1353 (#51) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1413 (#30) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.8 (#22) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.870 (#66) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-13 | @ | New Mexico Lobos | L | 87 - 88 |
| 2017-11-19 | vs | Loyola Maryland Greyhounds | W | 83 - 63 |
| 2017-11-23 | vs | Tennessee Lady Volunteers | L | 99 - 101 |
| 2017-11-28 | vs | Loyola Chicago Ramblers | W | 92 - 30 |
| 2017-12-02 | @ | Green Bay Phoenix | L | 55 - 63 |
| 2017-12-07 | @ | Michigan Wolverines | L | 76 - 82 |
| 2017-12-20 | @ | Notre Dame Fighting Irish | L | 85 - 91 |
| 2018-01-29 | @ | DePaul Blue Demons | L | 83 - 95 |
| 2018-03-04 | vs | Butler Bulldogs | W | 73 - 61 |
| 2018-03-05 | vs | Creighton Bluejays | W | 76 - 70 |
| 2018-03-06 | @ | DePaul Blue Demons | L | 63 - 98 |
| 2018-03-16 | vs | Dayton Flyers | W | 84 - 65 |
| 2018-03-18 | @ | Louisville Cardinals | L | 72 - 90 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Blockton
|
G | 13 | 31.1 | 18.2 | 6.8 | 3.2 | 1.3 | 0.2 | 1.7 | 15.5 | 12.5 | - | - | - | 44.3 | 39.2 | 90.7 | - | 53.9 | 49.3 |
Natisha Hiedeman
|
- | 12 | 32.9 | 13.5 | 3.7 | 3.5 | 1.9 | 0.5 | 1.8 | 13.2 | 8.2 | - | - | - | 36.7 | 30.3 | 59.4 | - | 47.1 | 45.3 |
A. Wilborn
|
G | 12 | 30.0 | 12.5 | 3.8 | 3.5 | 1.2 | 0.4 | 2.0 | 9.1 | 10.3 | - | - | - | 48.6 | 32.0 | 65.5 | - | 56.3 | 52.3 |
D. King
|
G | 13 | 33.2 | 12.2 | 3.0 | 3.6 | 1.3 | 0.0 | 2.2 | 12.4 | 5.6 | - | - | - | 40.4 | 28.0 | 78.9 | - | 46.9 | 44.7 |
E. Davenport
|
F | 13 | 28.9 | 11.4 | 8.2 | 0.7 | 1.2 | 0.2 | 1.8 | 9.1 | 10.9 | - | - | - | 50.0 | 0 | 62.5 | - | 53.2 | 50.0 |
L. Van Kleunen
|
F | 13 | 14.7 | 5.2 | 3.2 | 0.2 | 0.8 | 0.2 | 0.8 | 4.5 | 4.1 | - | - | - | 45.8 | 36.0 | 55.6 | - | 54.0 | 53.4 |
I. Spingola
|
G | 13 | 7.2 | 3.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.7 | 3.2 | -0.2 | - | - | - | 39.0 | 36.4 | 100.0 | - | 54.3 | 53.7 |
S. Lott
|
G | 12 | 18.4 | 2.4 | 2.5 | 0.5 | 1.5 | 0.6 | 0.8 | 2.9 | 3.8 | - | - | - | 25.7 | 21.1 | 70.0 | - | 36.8 | 31.4 |
M. Smith Traore
|
F | 4 | 7.8 | 2.0 | 2.0 | 0.2 | 0.0 | 0.0 | 0.5 | 1.0 | 2.8 | - | - | - | 75.0 | 0.0 | 66.7 | - | 75.2 | 75.0 |
A. Anderson
|
F | 7 | 8.1 | 1.7 | 1.9 | 0.3 | 0.9 | 0.4 | 0.3 | 1.1 | 3.7 | - | - | - | 62.5 | 0.0 | 100.0 | - | 67.6 | 62.5 |
S. Dahling
|
F | 5 | 5.8 | 1.2 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 1.4 | - | - | - | 50.0 | 66.7 | 0 | - | 75.0 | 75.0 |
S. Valentine
|
C | 8 | 6.1 | 0.5 | 1.1 | 0.1 | 0.4 | 0.0 | 0.1 | 1.1 | 0.9 | - | - | - | 22.2 | 0 | 0.0 | - | 20.2 | 22.2 |
O. Moskari
|
G | 2 | 6.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 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