Rk | Gcar | Gtm | Date | Team | Opp | Type | Result | GS | MP | FG | FGA | 3P | 3PA | 2P | 2PA | FT | FTA | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GmSc | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 113 | 1 | 2016-11-11 | Wisconsin | Central Arkansas | REG (Non-Conf) | W 79-47 | * | 24 | 6 | 12 | .500 | 4 | 10 | .400 | 2 | 2 | 1.000 | .667 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 0 | 0 | 0 | 16 | 12.2 | ||
2 | 114 | 2 | 2016-11-15 | Wisconsin | @ | Creighton | REG (Non-Conf) | L 67-79 | * | 33 | 8 | 19 | .421 | 3 | 13 | .231 | 5 | 6 | .833 | .500 | 2 | 2 | 1.000 | 2 | 0 | 2 | 1 | 0 | 0 | 4 | 4 | 21 | 7.4 |
3 | 115 | 3 | 2016-11-17 | Wisconsin | Chicago State | REG (Non-Conf) | W 69-51 | * | 26 | 3 | 9 | .333 | 1 | 6 | .167 | 2 | 3 | .667 | .389 | 3 | 4 | .750 | 0 | 3 | 3 | 2 | 1 | 0 | 1 | 1 | 10 | 6.4 | |
4 | 116 | 4 | 2016-11-21 | Wisconsin | N | Tennessee | REG (Non-Conf) | W 74-62 | * | 32 | 9 | 15 | .600 | 3 | 9 | .333 | 6 | 6 | 1.000 | .700 | 0 | 0 | 0 | 1 | 1 | 4 | 1 | 1 | 1 | 2 | 21 | 17.1 | |
5 | 117 | 5 | 2016-11-22 | Wisconsin | N | Georgetown | REG (Non-Conf) | W 73-57 | * | 31 | 7 | 16 | .438 | 2 | 8 | .250 | 5 | 8 | .625 | .500 | 4 | 4 | 1.000 | 0 | 6 | 6 | 2 | 1 | 0 | 3 | 2 | 20 | 12.0 |
6 | 118 | 6 | 2016-11-23 | Wisconsin | N | North Carolina | REG (Non-Conf) | L 56-71 | * | 28 | 1 | 13 | .077 | 0 | 5 | .000 | 1 | 8 | .125 | .077 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 3 | 0 | 2 | -7.3 | |
7 | 119 | 7 | 2016-11-27 | Wisconsin | Prairie View A&M | REG (Non-Conf) | W 95-50 | * | 22 | 5 | 10 | .500 | 1 | 6 | .167 | 4 | 4 | 1.000 | .550 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 2 | 11 | 7.9 | ||
8 | 120 | 8 | 2016-11-29 | Wisconsin | Syracuse | REG (Non-Conf) | W 77-60 | * | 27 | 7 | 11 | .636 | 6 | 9 | .667 | 1 | 2 | .500 | .909 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 3 | 20 | 15.2 | ||
9 | 121 | 9 | 2016-12-03 | Wisconsin | Oklahoma | REG (Non-Conf) | W 90-70 | * | 36 | 6 | 15 | .400 | 4 | 10 | .400 | 2 | 5 | .400 | .533 | 0 | 0 | 0 | 3 | 3 | 2 | 0 | 1 | 0 | 2 | 16 | 10.1 | ||
10 | 122 | 10 | 2016-12-07 | Wisconsin | Idaho State | REG (Non-Conf) | W 78-44 | * | 17 | 7 | 10 | .700 | 4 | 7 | .571 | 3 | 3 | 1.000 | .900 | 3 | 4 | .750 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 3 | 21 | 15.5 | |
11 | 123 | 11 | 2016-12-10 | Wisconsin | @ | Marquette | REG (Non-Conf) | W 93-84 | * | 37 | 6 | 12 | .500 | 4 | 6 | .667 | 2 | 6 | .333 | .667 | 2 | 2 | 1.000 | 0 | 2 | 2 | 6 | 2 | 1 | 3 | 3 | 18 | 15.3 |
12 | 124 | 12 | 2016-12-14 | Wisconsin | Green Bay | REG (Non-Conf) | W 73-59 | * | 33 | 1 | 9 | .111 | 0 | 2 | .000 | 1 | 7 | .143 | .111 | 4 | 4 | 1.000 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 1 | 6 | 3.8 | |
13 | 125 | 13 | 2016-12-23 | Wisconsin | Florida A&M | REG (Non-Conf) | W 90-37 | * | 22 | 2 | 7 | .286 | 2 | 7 | .286 | 0 | 0 | .429 | 2 | 2 | 1.000 | 0 | 2 | 2 | 2 | 1 | 0 | 1 | 1 | 8 | 5.5 | ||
14 | 126 | 14 | 2016-12-27 | Wisconsin | Rutgers | REG (Conf) | W 72-52 | * | 33 | 3 | 9 | .333 | 2 | 4 | .500 | 1 | 5 | .200 | .444 | 0 | 0 | 0 | 2 | 2 | 1 | 1 | 0 | 1 | 0 | 8 | 4.2 | ||
15 | 127 | 15 | 2017-01-03 | Wisconsin | @ | Indiana | REG (Conf) | W 75-68 | * | 25 | 5 | 7 | .714 | 5 | 5 | 1.000 | 0 | 2 | .000 | 1.071 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | 3 | 0 | 3 | 3 | 17 | 13.6 |
16 | 128 | 16 | 2017-01-08 | Wisconsin | @ | Purdue | REG (Conf) | L 55-66 | * | 36 | 3 | 8 | .375 | 1 | 4 | .250 | 2 | 4 | .500 | .438 | 2 | 3 | .667 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 9 | 4.8 |
17 | 129 | 17 | 2017-01-12 | Wisconsin | Ohio State | REG (Conf) | W 89-66 | * | 27 | 7 | 12 | .583 | 5 | 7 | .714 | 2 | 5 | .400 | .792 | 2 | 2 | 1.000 | 0 | 1 | 1 | 3 | 0 | 0 | 1 | 0 | 21 | 16.8 | |
18 | 130 | 18 | 2017-01-17 | Wisconsin | Michigan | REG (Conf) | W 68-64 | * | 34 | 5 | 10 | .500 | 3 | 5 | .600 | 2 | 5 | .400 | .650 | 3 | 4 | .750 | 0 | 4 | 4 | 1 | 0 | 0 | 2 | 1 | 16 | 10.1 | |
19 | 131 | 19 | 2017-01-21 | Wisconsin | @ | Minnesota | REG (Conf) | W 78-76 (OT) | * | 39 | 4 | 8 | .500 | 3 | 5 | .600 | 1 | 3 | .333 | .688 | 0 | 0 | 0 | 2 | 2 | 6 | 0 | 0 | 1 | 2 | 11 | 10.0 | |
20 | 132 | 20 | 2017-01-24 | Wisconsin | Penn State | REG (Conf) | W 82-55 | * | 29 | 8 | 13 | .615 | 4 | 9 | .444 | 4 | 4 | 1.000 | .769 | 0 | 0 | 0 | 2 | 2 | 3 | 0 | 0 | 2 | 1 | 20 | 14.4 | ||
21 | 133 | 21 | 2017-01-28 | Wisconsin | N | Rutgers | REG (Conf) | W 61-54 (OT) | * | 40 | 2 | 13 | .154 | 2 | 10 | .200 | 0 | 3 | .000 | .231 | 4 | 4 | 1.000 | 0 | 3 | 3 | 2 | 0 | 0 | 2 | 1 | 10 | 1.6 |
22 | 134 | 22 | 2017-01-31 | Wisconsin | @ | Illinois | REG (Conf) | W 57-43 | * | 30 | 4 | 13 | .308 | 1 | 6 | .167 | 3 | 7 | .429 | .346 | 0 | 0 | 0 | 4 | 4 | 3 | 0 | 0 | 2 | 1 | 9 | 2.4 | |
23 | 135 | 23 | 2017-02-05 | Wisconsin | Indiana | REG (Conf) | W 65-60 | * | 35 | 3 | 8 | .375 | 2 | 4 | .500 | 1 | 4 | .250 | .500 | 3 | 4 | .750 | 1 | 6 | 7 | 3 | 0 | 0 | 3 | 3 | 11 | 6.6 | |
24 | 136 | 24 | 2017-02-09 | Wisconsin | @ | Nebraska | REG (Conf) | W 70-69 (OT) | * | 40 | 4 | 13 | .308 | 2 | 6 | .333 | 2 | 7 | .286 | .385 | 2 | 2 | 1.000 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 2 | 12 | 6.8 |
25 | 137 | 25 | 2017-02-12 | Wisconsin | Northwestern | REG (Conf) | L 59-66 | * | 30 | 1 | 8 | .125 | 0 | 5 | .000 | 1 | 3 | .333 | .125 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 1 | 2 | -3.3 | ||
26 | 138 | 27 | 2017-02-19 | Wisconsin | Maryland | REG (Conf) | W 71-60 | 31 | 4 | 11 | .364 | 1 | 5 | .200 | 3 | 6 | .500 | .409 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 2 | 1 | 1 | 9 | 3.9 | |||
27 | 139 | 28 | 2017-02-23 | Wisconsin | @ | Ohio State | REG (Conf) | L 73-83 | * | 31 | 9 | 15 | .600 | 5 | 9 | .556 | 4 | 6 | .667 | .767 | 4 | 4 | 1.000 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 27 | 20.1 |
28 | 140 | 29 | 2017-02-26 | Wisconsin | @ | Michigan State | REG (Conf) | L 74-84 | * | 38 | 5 | 15 | .333 | 1 | 9 | .111 | 4 | 6 | .667 | .367 | 6 | 6 | 1.000 | 1 | 5 | 6 | 2 | 0 | 0 | 1 | 3 | 17 | 9.9 |
29 | 141 | 30 | 2017-03-02 | Wisconsin | Iowa | REG (Conf) | L 57-59 | * | 34 | 7 | 14 | .500 | 4 | 8 | .500 | 3 | 6 | .500 | .643 | 1 | 1 | 1.000 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 19 | 12.0 | |
30 | 142 | 31 | 2017-03-05 | Wisconsin | Minnesota | REG (Conf) | W 66-49 | * | 23 | 5 | 13 | .385 | 5 | 8 | .625 | 0 | 5 | .000 | .577 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 2 | 17 | 10.5 | |
Rk | Gcar | Gtm | Date | Team | Opp | Type | Result | GS | MP | FG | FGA | 3P | 3PA | 2P | 2PA | FT | FTA | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GmSc | ||||||
31 | 143 | 32 | 2017-03-10 | Wisconsin | N | Indiana | CTOURN | W 70-60 | * | 37 | 6 | 12 | .500 | 4 | 7 | .571 | 2 | 5 | .400 | .667 | 0 | 0 | 0 | 1 | 1 | 5 | 3 | 0 | 1 | 0 | 16 | 15.8 | |
32 | 144 | 33 | 2017-03-11 | Wisconsin | N | Northwestern | CTOURN | W 76-48 | * | 26 | 3 | 12 | .250 | 2 | 9 | .222 | 1 | 3 | .333 | .333 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 2 | 0 | 1 | 8 | 4.5 | |
33 | 145 | 34 | 2017-03-12 | Wisconsin | N | Michigan | CTOURN | L 56-71 | * | 38 | 5 | 14 | .357 | 3 | 6 | .500 | 2 | 8 | .250 | .464 | 2 | 3 | .667 | 0 | 1 | 1 | 1 | 0 | 1 | 2 | 3 | 15 | 5.3 |
Rk | Gcar | Gtm | Date | Team | Opp | Type | Result | GS | MP | FG | FGA | 3P | 3PA | 2P | 2PA | FT | FTA | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GmSc | ||||||
34 | 146 | 35 | 2017-03-16 | Wisconsin | N | Virginia Tech | ROUND-64 | W 84-74 | * | 37 | 9 | 21 | .429 | 8 | 17 | .471 | 1 | 4 | .250 | .619 | 2 | 2 | 1.000 | 0 | 3 | 3 | 3 | 0 | 0 | 1 | 2 | 28 | 18.1 |
35 | 147 | 36 | 2017-03-18 | Wisconsin | N | Villanova | ROUND-32 | W 65-62 | * | 27 | 7 | 11 | .636 | 3 | 6 | .500 | 4 | 5 | .800 | .773 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 3 | 4 | 17 | 9.5 | |
36 | 148 | 37 | 2017-03-24 | Wisconsin | N | Florida | ROUND-16 | L 83-84 (OT) | * | 41 | 4 | 13 | .308 | 3 | 9 | .333 | 1 | 4 | .250 | .423 | 2 | 2 | 1.000 | 0 | 3 | 3 | 2 | 0 | 1 | 3 | 4 | 13 | 3.9 |
27-9 | 35 | 1129 | 181 | 431 | .420 | 103 | 261 | .395 | 78 | 170 | .459 | .539 | 57 | 63 | .905 | 6 | 70 | 76 | 73 | 23 | 12 | 51 | 61 | 522 | 9.0 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Monday, April 28, 4:09AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Do you have a sports website? Or write about sports? We have tools and resources that can help you use sports data. Find out more.