Season Highs
|
|
Date |
Opponent |
Kills
|
5
|
9/16/16
|
Lamar
|
Assists
|
65
|
10/29/16
|
Illinois
|
Points
|
8
|
10/07/16
|
Purdue
|
Aces
|
3
|
8/27/16
|
Loyola Chicago
|
Digs
|
18
|
10/14/16
|
Maryland
|
Total Blocks
|
4
|
11/26/16
|
Michigan State
|
Game-by-Game Statistics
Date
|
Opponent
|
Attack |
Set |
Serve |
Defense |
Block |
|
K
|
E
|
TA
|
%
|
AST
|
E
|
SA
|
SE
|
RE
|
Dig
|
BS
|
BA
|
BE
|
TB
|
BHE
|
PTS
|
8/27/16
|
Loyola Chicago
|
2
|
0
|
4
|
0.500
|
43
|
0
|
3
|
3
|
0
|
8
|
0
|
0
|
0
|
0
|
0.000
|
5.000
|
8/27/16
|
DePaul
|
3
|
1
|
7
|
0.286
|
30
|
0
|
0
|
1
|
0
|
7
|
1
|
1
|
0
|
2
|
0.000
|
4.500
|
8/28/16
|
NIU
|
4
|
1
|
9
|
0.333
|
43
|
0
|
0
|
2
|
0
|
7
|
0
|
1
|
0
|
1
|
0.000
|
4.500
|
9/02/16
|
Western Illinois
|
3
|
2
|
5
|
0.200
|
37
|
0
|
2
|
1
|
0
|
4
|
0
|
3
|
0
|
3
|
0.000
|
6.500
|
9/02/16
|
Arizona State
|
4
|
1
|
6
|
0.500
|
47
|
0
|
0
|
1
|
0
|
9
|
0
|
1
|
1
|
1
|
0.000
|
4.500
|
9/03/16
|
Butler
|
0
|
1
|
5
|
-0.200
|
40
|
0
|
2
|
0
|
0
|
8
|
0
|
0
|
0
|
0
|
0.000
|
2.000
|
9/03/16
|
Oakland
|
4
|
0
|
6
|
0.667
|
30
|
0
|
0
|
1
|
0
|
8
|
0
|
0
|
0
|
0
|
0.000
|
4.000
|
9/09/16
|
Iowa State
|
2
|
1
|
5
|
0.200
|
26
|
0
|
0
|
3
|
0
|
9
|
0
|
1
|
1
|
1
|
1.000
|
2.500
|
9/10/16
|
Montana
|
2
|
0
|
4
|
0.500
|
28
|
0
|
0
|
1
|
0
|
4
|
0
|
1
|
0
|
1
|
0.000
|
2.500
|
9/10/16
|
North Dakota State
|
1
|
1
|
6
|
0.000
|
38
|
0
|
3
|
1
|
0
|
8
|
0
|
2
|
0
|
2
|
0.000
|
5.000
|
9/16/16
|
Lamar
|
5
|
0
|
5
|
1.000
|
33
|
0
|
0
|
2
|
0
|
4
|
1
|
0
|
0
|
1
|
0.000
|
6.000
|
9/17/16
|
South Dakota
|
1
|
2
|
5
|
-0.200
|
43
|
0
|
0
|
1
|
0
|
6
|
1
|
0
|
0
|
1
|
0.000
|
2.000
|
9/23/16
|
Michigan State
|
1
|
1
|
3
|
0.000
|
29
|
0
|
0
|
3
|
0
|
5
|
0
|
0
|
2
|
0
|
0.000
|
1.000
|
9/24/16
|
Michigan
|
3
|
1
|
7
|
0.286
|
47
|
0
|
1
|
2
|
0
|
4
|
0
|
1
|
0
|
1
|
0.000
|
4.500
|
9/28/16
|
Maryland
|
1
|
1
|
2
|
0.000
|
32
|
0
|
1
|
2
|
0
|
10
|
0
|
1
|
0
|
1
|
0.000
|
2.500
|
10/01/16
|
Northwestern
|
0
|
1
|
2
|
-0.500
|
45
|
0
|
0
|
1
|
0
|
4
|
0
|
1
|
0
|
1
|
0.000
|
0.500
|
10/07/16
|
Purdue
|
4
|
1
|
8
|
0.375
|
48
|
0
|
3
|
2
|
0
|
6
|
0
|
2
|
0
|
2
|
0.000
|
8.000
|
10/08/16
|
Indiana
|
3
|
0
|
7
|
0.429
|
28
|
0
|
0
|
3
|
0
|
3
|
1
|
1
|
0
|
2
|
0.000
|
4.500
|
10/14/16
|
Maryland
|
2
|
2
|
5
|
0.000
|
37
|
0
|
0
|
2
|
0
|
18
|
0
|
2
|
0
|
2
|
0.000
|
3.000
|
10/15/16
|
Ohio State
|
2
|
1
|
3
|
0.333
|
20
|
0
|
0
|
2
|
0
|
14
|
0
|
1
|
0
|
1
|
1.000
|
2.500
|
10/21/16
|
Minnesota
|
1
|
0
|
3
|
0.333
|
64
|
0
|
0
|
2
|
0
|
10
|
0
|
2
|
2
|
2
|
0.000
|
2.000
|
10/22/16
|
Wisconsin
|
0
|
0
|
0
|
0.000
|
38
|
0
|
0
|
0
|
0
|
9
|
0
|
0
|
0
|
0
|
0.000
|
0.000
|
10/28/16
|
Northwestern
|
4
|
0
|
5
|
0.800
|
47
|
0
|
1
|
3
|
0
|
7
|
0
|
1
|
2
|
1
|
0.000
|
5.500
|
10/29/16
|
Illinois
|
3
|
2
|
8
|
0.125
|
65
|
0
|
1
|
2
|
0
|
9
|
1
|
0
|
0
|
1
|
0.000
|
5.000
|
11/04/16
|
Rutgers
|
5
|
0
|
6
|
0.833
|
32
|
0
|
1
|
0
|
0
|
5
|
0
|
0
|
0
|
0
|
1.000
|
6.000
|
11/05/16
|
Penn State
|
0
|
1
|
2
|
-0.500
|
25
|
0
|
0
|
1
|
0
|
6
|
0
|
2
|
0
|
2
|
0.000
|
1.000
|
11/09/16
|
NEBRASKA
|
2
|
1
|
5
|
0.200
|
28
|
0
|
1
|
0
|
0
|
6
|
0
|
1
|
0
|
1
|
0.000
|
3.500
|
11/12/16
|
Purdue
|
2
|
0
|
3
|
0.667
|
42
|
0
|
1
|
2
|
0
|
9
|
1
|
0
|
0
|
1
|
0.000
|
4.000
|
11/16/16
|
Rutgers
|
3
|
0
|
6
|
0.500
|
49
|
0
|
0
|
1
|
0
|
4
|
0
|
0
|
0
|
0
|
0.000
|
3.000
|
11/19/16
|
Nebraska
|
1
|
0
|
1
|
1.000
|
23
|
0
|
0
|
1
|
0
|
10
|
0
|
2
|
0
|
2
|
0.000
|
2.000
|
11/23/16
|
Wisconsin
|
1
|
0
|
3
|
0.333
|
33
|
0
|
0
|
1
|
0
|
2
|
0
|
1
|
0
|
1
|
0.000
|
1.500
|
11/26/16
|
Michigan State
|
0
|
3
|
5
|
-0.600
|
42
|
0
|
2
|
1
|
0
|
4
|
1
|
3
|
0
|
4
|
0.000
|
4.500
|
Date
|
Opponent
|
|
|
|
8/27/16
|
Loyola Chicago
|
8/27/16
|
DePaul
|
8/28/16
|
NIU
|
9/02/16
|
Western Illinois
|
9/02/16
|
Arizona State
|
9/03/16
|
Butler
|
9/03/16
|
Oakland
|
9/09/16
|
Iowa State
|
9/10/16
|
Montana
|
9/10/16
|
North Dakota State
|
9/16/16
|
Lamar
|
9/17/16
|
South Dakota
|
9/23/16
|
Michigan State
|
9/24/16
|
Michigan
|
9/28/16
|
Maryland
|
10/01/16
|
Northwestern
|
10/07/16
|
Purdue
|
10/08/16
|
Indiana
|
10/14/16
|
Maryland
|
10/15/16
|
Ohio State
|
10/21/16
|
Minnesota
|
10/22/16
|
Wisconsin
|
10/28/16
|
Northwestern
|
10/29/16
|
Illinois
|
11/04/16
|
Rutgers
|
11/05/16
|
Penn State
|
11/09/16
|
NEBRASKA
|
11/12/16
|
Purdue
|
11/16/16
|
Rutgers
|
11/19/16
|
Nebraska
|
11/23/16
|
Wisconsin
|
11/26/16
|
Michigan State
|
Offensive Statistics
Season
|
SP
|
K
|
K/S
|
E
|
TA
|
%
|
A
|
A/S
|
SA
|
SA/S
|
SE
|
2015-16
|
112 |
70 |
0.625 |
20 |
166 |
0.301 |
1,222 |
10.911 |
22 |
0.196 |
41 |
2016-17
|
110 |
69 |
0.627 |
25 |
151 |
0.291 |
1,212 |
11.018 |
22 |
0.200 |
48 |
Total:
|
222
|
139
|
0.626
|
45
|
317
|
0.297
|
2,434
|
10.964
|
44
|
0.198
|
89
|
Season
|
2015-16
|
2016-17
|
Total:
|
Defensive Statistics
Season
|
DIG
|
D/S
|
RE
|
BS
|
BA
|
TB
|
B/S
|
BE
|
BHE
|
PTS
|
PTS/S
|
2015-16
|
218 |
1.946 |
0 |
6.000 |
41 |
47 |
0.420 |
10 |
21 |
119 |
1.058 |
2016-17
|
227 |
2.064 |
0 |
7.000 |
31 |
38 |
0.345 |
8 |
3 |
114 |
1.032 |
Total:
|
445
|
2.005
|
0
|
13.000
|
72
|
85
|
0.383
|
18
|
24
|
232
|
1.045
|
Season
|
2015-16
|
2016-17
|
Total:
|