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 | 49 | 1 | 2011-11-12 | Wisconsin | Kennesaw State | REG (Non-Conf) | W 85-31 | * | 20 | 4 | 6 | .667 | 1 | 2 | .500 | 3 | 4 | .750 | .750 | 2 | 3 | .667 | 0 | 3 | 3 | 1 | 0 | 1 | 1 | 1 | 11 | 8.9 | |
2 | 50 | 2 | 2011-11-16 | Wisconsin | Colgate | REG (Non-Conf) | W 68-41 | * | 26 | 4 | 13 | .308 | 1 | 6 | .167 | 3 | 7 | .429 | .346 | 0 | 0 | 1 | 6 | 7 | 0 | 1 | 1 | 1 | 1 | 9 | 4.3 | ||
3 | 51 | 3 | 2011-11-19 | Wisconsin | Wofford | REG (Non-Conf) | W 69-33 | * | 27 | 6 | 12 | .500 | 1 | 5 | .200 | 5 | 7 | .714 | .542 | 0 | 0 | 2 | 5 | 7 | 1 | 2 | 1 | 2 | 1 | 13 | 10.9 | ||
4 | 52 | 4 | 2011-11-22 | Wisconsin | Kansas City | REG (Non-Conf) | W 77-31 | * | 21 | 8 | 9 | .889 | 4 | 4 | 1.000 | 4 | 5 | .800 | 1.111 | 1 | 1 | 1.000 | 0 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 21 | 20.7 | |
5 | 53 | 5 | 2011-11-25 | Wisconsin | N | Bradley | REG (Non-Conf) | W 66-43 | * | 28 | 3 | 6 | .500 | 0 | 3 | .000 | 3 | 3 | 1.000 | .500 | 1 | 2 | .500 | 2 | 8 | 10 | 3 | 3 | 1 | 1 | 1 | 7 | 11.8 |
6 | 54 | 6 | 2011-11-26 | Wisconsin | N | Brigham Young | REG (Non-Conf) | W 73-56 | * | 25 | 6 | 9 | .667 | 1 | 1 | 1.000 | 5 | 8 | .625 | .722 | 0 | 0 | 3 | 2 | 5 | 1 | 1 | 3 | 3 | 3 | 13 | 11.4 | |
7 | 55 | 7 | 2011-11-30 | Wisconsin | @ | North Carolina | REG (Non-Conf) | L 57-60 | * | 31 | 6 | 12 | .500 | 2 | 5 | .400 | 4 | 7 | .571 | .583 | 0 | 0 | 3 | 2 | 5 | 1 | 3 | 1 | 2 | 5 | 14 | 11.1 | |
8 | 56 | 8 | 2011-12-03 | Wisconsin | Marquette | REG (Non-Conf) | L 54-61 | * | 35 | 3 | 11 | .273 | 2 | 7 | .286 | 1 | 4 | .250 | .364 | 0 | 1 | .000 | 0 | 6 | 6 | 1 | 2 | 1 | 1 | 3 | 8 | 4.1 | |
9 | 57 | 9 | 2011-12-07 | Wisconsin | Green Bay | REG (Non-Conf) | W 70-42 | * | 29 | 6 | 8 | .750 | 0 | 1 | .000 | 6 | 7 | .857 | .750 | 1 | 1 | 1.000 | 0 | 3 | 3 | 1 | 4 | 3 | 1 | 1 | 13 | 16.1 | |
10 | 58 | 10 | 2011-12-10 | Wisconsin | UNLV | REG (Non-Conf) | W 62-51 | * | 23 | 3 | 7 | .429 | 1 | 4 | .250 | 2 | 3 | .667 | .500 | 2 | 2 | 1.000 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 9 | 3.4 | |
11 | 59 | 11 | 2011-12-13 | Wisconsin | @ | Milwaukee | REG (Non-Conf) | W 60-54 | * | 34 | 4 | 6 | .667 | 3 | 4 | .750 | 1 | 2 | .500 | .917 | 6 | 8 | .750 | 0 | 9 | 9 | 0 | 1 | 1 | 3 | 3 | 17 | 13.8 |
12 | 60 | 12 | 2011-12-15 | Wisconsin | Savannah State | REG (Non-Conf) | W 66-33 | * | 20 | 5 | 8 | .625 | 2 | 2 | 1.000 | 3 | 6 | .500 | .750 | 1 | 1 | 1.000 | 1 | 3 | 4 | 1 | 1 | 0 | 0 | 1 | 13 | 12.3 | |
13 | 61 | 13 | 2011-12-23 | Wisconsin | Mississippi Valley State | REG (Non-Conf) | W 79-45 | * | 25 | 4 | 7 | .571 | 0 | 1 | .000 | 4 | 6 | .667 | .571 | 7 | 8 | .875 | 1 | 1 | 2 | 1 | 1 | 2 | 0 | 1 | 15 | 15.0 | |
14 | 62 | 14 | 2011-12-27 | Wisconsin | @ | Nebraska | REG (Conf) | W 64-40 | * | 25 | 2 | 8 | .250 | 2 | 3 | .667 | 0 | 5 | .000 | .375 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 2 | 1 | 4 | 6 | 2.6 | |
15 | 63 | 15 | 2011-12-31 | Wisconsin | Iowa | REG (Conf) | L 65-72 | * | 33 | 6 | 17 | .353 | 0 | 5 | .000 | 6 | 12 | .500 | .353 | 0 | 0 | 4 | 3 | 7 | 0 | 0 | 2 | 0 | 3 | 12 | 6.4 | ||
16 | 64 | 16 | 2012-01-03 | Wisconsin | Michigan State | REG (Conf) | L 60-63 (OT) | * | 28 | 4 | 13 | .308 | 1 | 6 | .167 | 3 | 7 | .429 | .346 | 0 | 0 | 1 | 5 | 6 | 0 | 0 | 3 | 1 | 3 | 9 | 3.6 | ||
17 | 65 | 17 | 2012-01-08 | Wisconsin | @ | Michigan | REG (Conf) | L 41-59 | * | 22 | 1 | 6 | .167 | 0 | 1 | .000 | 1 | 5 | .200 | .167 | 1 | 1 | 1.000 | 2 | 3 | 5 | 0 | 1 | 1 | 3 | 1 | 3 | -0.2 |
18 | 66 | 18 | 2012-01-12 | Wisconsin | @ | Purdue | REG (Conf) | W 67-62 | * | 28 | 2 | 4 | .500 | 1 | 3 | .333 | 1 | 1 | 1.000 | .625 | 0 | 0 | 0 | 3 | 3 | 1 | 0 | 2 | 2 | 2 | 5 | 3.2 | |
19 | 67 | 19 | 2012-01-15 | Wisconsin | Nebraska | REG (Conf) | W 50-45 | * | 32 | 3 | 12 | .250 | 1 | 3 | .333 | 2 | 9 | .222 | .292 | 2 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 1 | 1 | 2 | 9 | 7.0 | |
20 | 68 | 20 | 2012-01-18 | Wisconsin | Northwestern | REG (Conf) | W 77-57 | * | 18 | 2 | 3 | .667 | 1 | 1 | 1.000 | 1 | 2 | .500 | .833 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 3 | 5 | 2.4 | ||
21 | 69 | 21 | 2012-01-22 | Wisconsin | @ | Illinois | REG (Conf) | W 67-63 | * | 33 | 7 | 14 | .500 | 3 | 6 | .500 | 4 | 8 | .500 | .607 | 1 | 2 | .500 | 2 | 3 | 5 | 1 | 1 | 1 | 2 | 3 | 18 | 12.1 |
22 | 70 | 22 | 2012-01-26 | Wisconsin | Indiana | REG (Conf) | W 57-50 | * | 23 | 2 | 4 | .500 | 0 | 1 | .000 | 2 | 3 | .667 | .500 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 5 | 0 | 3 | 4 | 5.3 | ||
23 | 71 | 23 | 2012-01-31 | Wisconsin | @ | Penn State | REG (Conf) | W 52-46 | * | 28 | 4 | 10 | .400 | 0 | 2 | .000 | 4 | 8 | .500 | .400 | 0 | 2 | .000 | 3 | 7 | 10 | 0 | 1 | 2 | 1 | 4 | 8 | 5.8 |
24 | 72 | 24 | 2012-02-04 | Wisconsin | Ohio State | REG (Conf) | L 52-58 | * | 24 | 4 | 8 | .500 | 2 | 6 | .333 | 2 | 2 | 1.000 | .625 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 2 | 1 | 3 | 10 | 6.1 | ||
25 | 73 | 25 | 2012-02-09 | Wisconsin | @ | Minnesota | REG (Conf) | W 68-61 (OT) | * | 35 | 3 | 9 | .333 | 1 | 3 | .333 | 2 | 6 | .333 | .389 | 2 | 4 | .500 | 1 | 1 | 2 | 0 | 1 | 3 | 3 | 3 | 9 | 3.0 |
26 | 74 | 26 | 2012-02-16 | Wisconsin | @ | Michigan State | REG (Conf) | L 55-69 | * | 24 | 4 | 8 | .500 | 2 | 4 | .500 | 2 | 4 | .500 | .625 | 0 | 0 | 2 | 2 | 4 | 1 | 0 | 1 | 2 | 4 | 10 | 5.8 | |
27 | 75 | 27 | 2012-02-19 | Wisconsin | Penn State | REG (Conf) | W 65-55 | * | 29 | 4 | 8 | .500 | 3 | 3 | 1.000 | 1 | 5 | .200 | .688 | 2 | 2 | 1.000 | 1 | 5 | 6 | 0 | 1 | 2 | 0 | 2 | 13 | 12.8 | |
28 | 76 | 28 | 2012-02-23 | Wisconsin | @ | Iowa | REG (Conf) | L 66-67 | * | 26 | 2 | 7 | .286 | 0 | 2 | .000 | 2 | 5 | .400 | .286 | 0 | 0 | 3 | 2 | 5 | 0 | 0 | 4 | 1 | 2 | 4 | 3.6 | |
29 | 77 | 29 | 2012-02-26 | Wisconsin | @ | Ohio State | REG (Conf) | W 63-60 | * | 34 | 6 | 13 | .462 | 3 | 7 | .429 | 3 | 6 | .500 | .577 | 3 | 3 | 1.000 | 1 | 4 | 5 | 2 | 1 | 1 | 3 | 3 | 18 | 12.1 |
30 | 78 | 30 | 2012-02-28 | Wisconsin | Minnesota | REG (Conf) | W 52-45 | * | 37 | 1 | 5 | .200 | 1 | 4 | .250 | 0 | 1 | .000 | .300 | 2 | 4 | .500 | 0 | 7 | 7 | 1 | 0 | 0 | 1 | 3 | 5 | 1.7 | |
31 | 79 | 31 | 2012-03-04 | Wisconsin | Illinois | REG (Conf) | W 70-56 | * | 32 | 3 | 5 | .600 | 0 | 0 | 3 | 5 | .600 | .600 | 6 | 9 | .667 | 2 | 3 | 5 | 1 | 1 | 1 | 2 | 3 | 12 | 10.0 | ||
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 | ||||||
32 | 80 | 32 | 2012-03-09 | Wisconsin | N | Indiana | CTOURN | W 79-71 | * | 36 | 5 | 9 | .556 | 1 | 4 | .250 | 4 | 5 | .800 | .611 | 5 | 5 | 1.000 | 3 | 6 | 9 | 1 | 1 | 1 | 2 | 5 | 16 | 14.0 |
33 | 81 | 33 | 2012-03-10 | Wisconsin | N | Michigan State | CTOURN | L 52-65 | * | 28 | 1 | 7 | .143 | 1 | 2 | .500 | 0 | 5 | .000 | .214 | 3 | 4 | .750 | 1 | 1 | 2 | 1 | 1 | 1 | 3 | 0 | 6 | 1.5 |
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 | ||||||
34 | 82 | 34 | 2012-03-15 | Wisconsin | N | Montana | ROUND-64 | W 73-49 | * | 24 | 2 | 9 | .222 | 0 | 1 | .000 | 2 | 8 | .250 | .222 | 1 | 2 | .500 | 1 | 2 | 3 | 2 | 1 | 7 | 1 | 0 | 5 | 6.7 |
35 | 83 | 35 | 2012-03-17 | Wisconsin | N | Vanderbilt | ROUND-32 | W 60-57 | * | 32 | 5 | 12 | .417 | 1 | 6 | .167 | 4 | 6 | .667 | .458 | 1 | 1 | 1.000 | 3 | 3 | 6 | 2 | 0 | 0 | 2 | 2 | 12 | 7.2 |
36 | 84 | 36 | 2012-03-22 | Wisconsin | N | Syracuse | ROUND-16 | L 63-64 | * | 25 | 6 | 7 | .857 | 3 | 3 | 1.000 | 3 | 4 | .750 | 1.071 | 2 | 3 | .667 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 3 | 17 | 13.6 |
26-10 | 36 | 1000 | 141 | 312 | .452 | 45 | 121 | .372 | 96 | 191 | .503 | .524 | 52 | 71 | .732 | 51 | 125 | 176 | 27 | 32 | 60 | 51 | 86 | 379 | 8.1 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Friday, March 28, 6:05AM
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.