Season Highs
| | Date | Opponent |
Kills | 5 | 9/16/16 | Lamar |
Assists | 65 | 10/29/16 | Illinois |
Points | 8 | 10/07/16 | Purdue |
Aces | 3 | 9/10/16 | North Dakota State |
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: |