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 | 36 | 1 | 2015-11-13 | Maryland | Mount St. Mary's | REG (Non-Conf) | W 80-56 | * | 25 | 6 | 11 | .545 | 1 | 3 | .333 | 5 | 8 | .625 | .591 | 1 | 2 | .500 | 0 | 2 | 2 | 2 | 0 | 0 | 1 | 1 | 14 | 8.9 | |
2 | 37 | 2 | 2015-11-17 | Maryland | Georgetown | REG (Non-Conf) | W 75-71 | * | 37 | 4 | 11 | .364 | 3 | 8 | .375 | 1 | 3 | .333 | .500 | 13 | 18 | .722 | 1 | 0 | 1 | 3 | 3 | 0 | 2 | 1 | 24 | 19.3 | |
3 | 38 | 3 | 2015-11-20 | Maryland | Rider | REG (Non-Conf) | W 65-58 | * | 37 | 3 | 9 | .333 | 1 | 4 | .250 | 2 | 5 | .400 | .389 | 4 | 6 | .667 | 0 | 2 | 2 | 5 | 1 | 0 | 1 | 1 | 11 | 8.8 | |
4 | 39 | 4 | 2015-11-24 | Maryland | N | Illinois State | REG (Non-Conf) | W 77-66 | * | 32 | 6 | 11 | .545 | 0 | 3 | .000 | 6 | 8 | .750 | .545 | 3 | 3 | 1.000 | 1 | 2 | 3 | 7 | 2 | 0 | 4 | 1 | 15 | 13.5 |
5 | 40 | 5 | 2015-11-25 | Maryland | N | Rhode Island | REG (Non-Conf) | W 86-63 | * | 27 | 7 | 7 | 1.000 | 0 | 0 | 7 | 7 | 1.000 | 1.000 | 3 | 3 | 1.000 | 0 | 6 | 6 | 4 | 3 | 0 | 2 | 1 | 17 | 20.1 | |
6 | 41 | 6 | 2015-11-28 | Maryland | Cleveland State | REG (Non-Conf) | W 80-63 | * | 32 | 2 | 6 | .333 | 0 | 3 | .000 | 2 | 3 | .667 | .333 | 4 | 4 | 1.000 | 0 | 1 | 1 | 6 | 0 | 0 | 1 | 0 | 8 | 8.1 | |
7 | 42 | 7 | 2015-12-01 | Maryland | @ | North Carolina | REG (Non-Conf) | L 81-89 | * | 38 | 8 | 14 | .571 | 4 | 5 | .800 | 4 | 9 | .444 | .714 | 3 | 3 | 1.000 | 0 | 2 | 2 | 12 | 2 | 0 | 8 | 2 | 23 | 18.6 |
8 | 43 | 8 | 2015-12-04 | Maryland | Saint Francis (PA) | REG (Non-Conf) | W 96-55 | * | 26 | 1 | 3 | .333 | 1 | 3 | .333 | 0 | 0 | .500 | 0 | 0 | 0 | 3 | 3 | 7 | 2 | 1 | 2 | 0 | 3 | 7.8 | |||
9 | 44 | 9 | 2015-12-08 | Maryland | N | Connecticut | REG (Non-Conf) | W 76-66 | * | 34 | 5 | 10 | .500 | 1 | 5 | .200 | 4 | 5 | .800 | .550 | 14 | 15 | .933 | 0 | 3 | 3 | 3 | 2 | 1 | 4 | 3 | 25 | 20.1 |
10 | 45 | 10 | 2015-12-12 | Maryland | Maryland Eastern Shore | REG (Non-Conf) | W 77-56 | * | 28 | 5 | 6 | .833 | 4 | 4 | 1.000 | 1 | 2 | .500 | 1.167 | 4 | 5 | .800 | 0 | 1 | 1 | 4 | 1 | 0 | 1 | 3 | 18 | 17.3 | |
11 | 46 | 11 | 2015-12-19 | Maryland | N | Princeton | REG (Non-Conf) | W 82-61 | * | 31 | 2 | 6 | .333 | 1 | 4 | .250 | 1 | 2 | .500 | .417 | 2 | 2 | 1.000 | 0 | 1 | 1 | 10 | 3 | 2 | 3 | 0 | 7 | 12.3 |
12 | 47 | 12 | 2015-12-27 | Maryland | Marshall | REG (Non-Conf) | W 87-67 | * | 30 | 5 | 9 | .556 | 3 | 5 | .600 | 2 | 4 | .500 | .722 | 0 | 0 | 0 | 5 | 5 | 7 | 0 | 0 | 5 | 2 | 13 | 9.3 | ||
13 | 48 | 13 | 2015-12-30 | Maryland | Penn State | REG (Conf) | W 70-64 | * | 32 | 3 | 15 | .200 | 2 | 7 | .286 | 1 | 8 | .125 | .267 | 2 | 2 | 1.000 | 1 | 0 | 1 | 6 | 2 | 0 | 2 | 3 | 10 | 4.4 | |
14 | 49 | 14 | 2016-01-02 | Maryland | @ | Northwestern | REG (Conf) | W 72-59 | * | 38 | 8 | 16 | .500 | 5 | 12 | .417 | 3 | 4 | .750 | .656 | 3 | 3 | 1.000 | 0 | 8 | 8 | 8 | 2 | 1 | 0 | 3 | 24 | 25.5 |
15 | 50 | 15 | 2016-01-06 | Maryland | Rutgers | REG (Conf) | W 88-63 | * | 14 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | .000 | 4 | 4 | 1.000 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 4 | 3.3 | ||
16 | 51 | 16 | 2016-01-09 | Maryland | @ | Wisconsin | REG (Conf) | W 63-60 | * | 35 | 9 | 17 | .529 | 3 | 7 | .429 | 6 | 10 | .600 | .618 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 3 | 1 | 21 | 12.8 | |
17 | 52 | 17 | 2016-01-12 | Maryland | @ | Michigan | REG (Conf) | L 67-70 | * | 30 | 1 | 7 | .143 | 0 | 3 | .000 | 1 | 4 | .250 | .143 | 0 | 0 | 2 | 1 | 3 | 3 | 1 | 0 | 4 | 2 | 2 | -2.5 | |
18 | 53 | 18 | 2016-01-16 | Maryland | Ohio State | REG (Conf) | W 100-65 | * | 27 | 2 | 5 | .400 | 0 | 3 | .000 | 2 | 2 | 1.000 | .400 | 4 | 4 | 1.000 | 0 | 3 | 3 | 9 | 1 | 0 | 3 | 2 | 8 | 9.7 | |
19 | 54 | 19 | 2016-01-19 | Maryland | Northwestern | REG (Conf) | W 62-56 (OT) | * | 42 | 8 | 18 | .444 | 1 | 6 | .167 | 7 | 12 | .583 | .472 | 1 | 1 | 1.000 | 0 | 1 | 1 | 6 | 1 | 1 | 2 | 2 | 18 | 12.0 | |
20 | 55 | 20 | 2016-01-23 | Maryland | @ | Michigan State | REG (Conf) | L 65-74 | * | 37 | 9 | 17 | .529 | 4 | 11 | .364 | 5 | 6 | .833 | .647 | 2 | 3 | .667 | 0 | 7 | 7 | 3 | 0 | 0 | 4 | 1 | 24 | 15.1 |
21 | 56 | 21 | 2016-01-28 | Maryland | Iowa | REG (Conf) | W 74-68 | * | 35 | 2 | 7 | .286 | 2 | 6 | .333 | 0 | 1 | .000 | .429 | 5 | 6 | .833 | 1 | 5 | 6 | 3 | 3 | 0 | 1 | 1 | 11 | 12.4 | |
22 | 57 | 22 | 2016-01-31 | Maryland | @ | Ohio State | REG (Conf) | W 66-61 | * | 38 | 7 | 16 | .438 | 2 | 10 | .200 | 5 | 6 | .833 | .500 | 4 | 4 | 1.000 | 1 | 3 | 4 | 4 | 1 | 0 | 3 | 3 | 20 | 12.8 |
23 | 58 | 23 | 2016-02-03 | Maryland | @ | Nebraska | REG (Conf) | W 70-65 | * | 36 | 5 | 7 | .714 | 3 | 5 | .600 | 2 | 2 | 1.000 | .929 | 7 | 9 | .778 | 0 | 2 | 2 | 3 | 2 | 0 | 4 | 2 | 20 | 16.2 |
24 | 59 | 24 | 2016-02-06 | Maryland | Purdue | REG (Conf) | W 72-61 | * | 38 | 2 | 12 | .167 | 0 | 5 | .000 | 2 | 7 | .286 | .167 | 10 | 11 | .909 | 1 | 4 | 5 | 7 | 0 | 0 | 1 | 2 | 14 | 11.0 | |
25 | 60 | 25 | 2016-02-09 | Maryland | Bowie St. | REG (Non-Conf) | W 93-62 | * | 17 | 1 | 1 | 1.000 | 1 | 1 | 1.000 | 0 | 0 | 1.500 | 2 | 2 | 1.000 | 0 | 4 | 4 | 3 | 0 | 0 | 1 | 2 | 5 | 6.2 | ||
26 | 61 | 26 | 2016-02-13 | Maryland | Wisconsin | REG (Conf) | L 57-70 | * | 37 | 1 | 14 | .071 | 0 | 2 | .000 | 1 | 12 | .083 | .071 | 8 | 10 | .800 | 1 | 3 | 4 | 6 | 2 | 0 | 5 | 2 | 10 | 1.8 | |
27 | 62 | 27 | 2016-02-18 | Maryland | @ | Minnesota | REG (Conf) | L 63-68 | * | 35 | 3 | 11 | .273 | 1 | 3 | .333 | 2 | 8 | .250 | .318 | 3 | 4 | .750 | 0 | 6 | 6 | 6 | 0 | 0 | 6 | 4 | 10 | 1.5 |
28 | 63 | 28 | 2016-02-21 | Maryland | Michigan | REG (Conf) | W 86-82 | * | 35 | 3 | 10 | .300 | 1 | 4 | .250 | 2 | 6 | .333 | .350 | 7 | 8 | .875 | 0 | 8 | 8 | 1 | 3 | 0 | 7 | 3 | 14 | 5.7 | |
29 | 64 | 29 | 2016-02-27 | Maryland | @ | Purdue | REG (Conf) | L 79-83 | * | 39 | 4 | 12 | .333 | 2 | 7 | .286 | 2 | 5 | .400 | .417 | 9 | 10 | .900 | 0 | 3 | 3 | 5 | 3 | 0 | 1 | 3 | 19 | 17.0 |
30 | 65 | 30 | 2016-03-03 | Maryland | Illinois | REG (Conf) | W 81-55 | * | 32 | 7 | 14 | .500 | 2 | 4 | .500 | 5 | 10 | .500 | .571 | 2 | 3 | .667 | 0 | 8 | 8 | 5 | 2 | 0 | 2 | 1 | 18 | 16.1 | |
31 | 66 | 31 | 2016-03-06 | Maryland | @ | Indiana | REG (Conf) | L 62-80 | * | 36 | 7 | 17 | .412 | 3 | 9 | .333 | 4 | 8 | .500 | .500 | 0 | 0 | 1 | 3 | 4 | 3 | 1 | 0 | 3 | 2 | 17 | 8.8 | |
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 | 67 | 32 | 2016-03-11 | Maryland | N | Nebraska | CTOURN | W 97-86 | * | 36 | 6 | 13 | .462 | 4 | 8 | .500 | 2 | 5 | .400 | .615 | 0 | 0 | 1 | 6 | 7 | 8 | 0 | 0 | 2 | 2 | 16 | 14.6 | |
33 | 68 | 33 | 2016-03-12 | Maryland | N | Michigan State | CTOURN | L 61-64 | * | 35 | 2 | 15 | .133 | 1 | 7 | .143 | 1 | 8 | .125 | .167 | 6 | 6 | 1.000 | 0 | 3 | 3 | 2 | 1 | 0 | 0 | 1 | 11 | 4.2 |
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 | 69 | 34 | 2016-03-18 | Maryland | N | South Dakota State | ROUND-64 | W 79-74 | * | 28 | 5 | 10 | .500 | 0 | 4 | .000 | 5 | 6 | .833 | .500 | 9 | 9 | 1.000 | 0 | 3 | 3 | 2 | 0 | 0 | 3 | 5 | 19 | 11.3 |
35 | 70 | 35 | 2016-03-20 | Maryland | N | Hawaii | ROUND-32 | W 73-60 | * | 37 | 5 | 14 | .357 | 1 | 6 | .167 | 4 | 8 | .500 | .393 | 13 | 14 | .929 | 0 | 8 | 8 | 3 | 0 | 0 | 2 | 1 | 24 | 17.9 |
36 | 71 | 36 | 2016-03-24 | Maryland | N | Kansas | ROUND-16 | L 63-79 | * | 37 | 5 | 16 | .313 | 1 | 7 | .143 | 4 | 9 | .444 | .344 | 6 | 9 | .667 | 0 | 2 | 2 | 2 | 1 | 0 | 2 | 4 | 17 | 6.0 |
27-9 | 36 | 1183 | 159 | 388 | .410 | 58 | 185 | .314 | 101 | 203 | .498 | .485 | 158 | 183 | .863 | 11 | 119 | 130 | 175 | 45 | 6 | 96 | 68 | 534 | 11.3 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Monday, March 10, 6:21AM
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.