🐻⬇️🏀

Marquette Golden Eagles

Also known as: Marquette Golden Eagles
Program History

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
Catalog

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. HCA +2.6 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 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 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 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 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 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 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 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 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 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 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 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 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 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