Player splits includes games from 2010-11 until the current season.
Click on split value to filter results by that selection.
Splits
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 112 | 2391 | 476 | 1032 | .461 | 87 | 280 | .311 | 389 | 752 | .517 | 155 | 233 | .665 | 208 | 467 | 259 | 70 | 39 | 19 | 121 | 160 | 1194 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
vs. Team | Alabama A&M | 7 | 145 | 25 | 51 | .490 | 1 | 11 | .091 | 24 | 40 | .600 | 6 | 13 | .462 | 14 | 34 | 20 | 1 | 3 | 1 | 7 | 9 | 57 |
UAB | 1 | 14 | 3 | 9 | .333 | 3 | 7 | .429 | 0 | 2 | .000 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 0 | 9 | ||
Alabama State | 7 | 156 | 27 | 64 | .422 | 6 | 22 | .273 | 21 | 42 | .500 | 15 | 19 | .789 | 10 | 31 | 21 | 5 | 4 | 2 | 4 | 10 | 75 | |
Arkansas-Pine Bluff | 7 | 159 | 31 | 60 | .517 | 4 | 15 | .267 | 27 | 45 | .600 | 15 | 20 | .750 | 13 | 25 | 12 | 5 | 4 | 1 | 12 | 11 | 81 | |
Baylor | 1 | 26 | 6 | 10 | .600 | 2 | 3 | .667 | 4 | 7 | .571 | 0 | 1 | .000 | 1 | 2 | 1 | 0 | 2 | 0 | 0 | 1 | 14 | |
California | 2 | 55 | 11 | 24 | .458 | 0 | 4 | .000 | 11 | 20 | .550 | 1 | 2 | .500 | 5 | 10 | 5 | 0 | 1 | 1 | 1 | 0 | 23 | |
Central Arkansas | 1 | 23 | 5 | 8 | .625 | 1 | 2 | .500 | 4 | 6 | .667 | 3 | 3 | 1.000 | 1 | 4 | 3 | 1 | 0 | 0 | 2 | 2 | 14 | |
Colorado State | 1 | 23 | 6 | 8 | .750 | 2 | 2 | 1.000 | 4 | 6 | .667 | 0 | 0 | 1 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 14 | ||
Creighton | 1 | 21 | 6 | 13 | .462 | 2 | 3 | .667 | 4 | 10 | .400 | 0 | 0 | 4 | 5 | 1 | 1 | 0 | 0 | 3 | 2 | 14 | ||
Evansville | 1 | 24 | 5 | 8 | .625 | 2 | 3 | .667 | 3 | 5 | .600 | 0 | 0 | 3 | 5 | 2 | 0 | 1 | 0 | 0 | 1 | 12 | ||
Florida A&M | 1 | 27 | 6 | 11 | .545 | 0 | 2 | .000 | 6 | 9 | .667 | 2 | 2 | 1.000 | 3 | 4 | 1 | 0 | 0 | 1 | 0 | 2 | 14 | |
Georgia Tech | 1 | 25 | 6 | 10 | .600 | 0 | 2 | .000 | 6 | 8 | .750 | 3 | 5 | .600 | 3 | 5 | 2 | 0 | 1 | 0 | 1 | 1 | 15 | |
Grambling | 8 | 175 | 41 | 87 | .471 | 6 | 19 | .316 | 35 | 68 | .515 | 11 | 20 | .550 | 17 | 38 | 21 | 5 | 2 | 1 | 11 | 13 | 99 | |
Grand Canyon | 2 | 58 | 10 | 23 | .435 | 1 | 8 | .125 | 9 | 15 | .600 | 3 | 3 | 1.000 | 5 | 14 | 9 | 0 | 1 | 0 | 4 | 7 | 24 | |
Hampton | 1 | 22 | 2 | 6 | .333 | 0 | 2 | .000 | 2 | 4 | .500 | 2 | 2 | 1.000 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 6 | |
Indiana | 1 | 25 | 6 | 14 | .429 | 0 | 2 | .000 | 6 | 12 | .500 | 2 | 3 | .667 | 5 | 6 | 1 | 2 | 1 | 0 | 1 | 0 | 14 | |
Iowa | 1 | 25 | 4 | 11 | .364 | 0 | 3 | .000 | 4 | 8 | .500 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 8 | ||
Jackson State | 7 | 143 | 21 | 49 | .429 | 5 | 15 | .333 | 16 | 34 | .471 | 7 | 11 | .636 | 10 | 25 | 15 | 6 | 1 | 0 | 4 | 11 | 54 | |
Kennesaw State | 1 | 18 | 7 | 12 | .583 | 0 | 2 | .000 | 7 | 10 | .700 | 0 | 2 | .000 | 1 | 2 | 1 | 0 | 0 | 1 | 1 | 1 | 14 | |
Kent State | 1 | 11 | 0 | 4 | .000 | 0 | 3 | .000 | 0 | 1 | .000 | 1 | 2 | .500 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | |
Liberty | 1 | 20 | 4 | 9 | .444 | 3 | 6 | .500 | 1 | 3 | .333 | 1 | 2 | .500 | 1 | 2 | 1 | 1 | 0 | 0 | 1 | 0 | 12 | |
LSU | 1 | 30 | 5 | 12 | .417 | 0 | 3 | .000 | 5 | 9 | .556 | 2 | 4 | .500 | 2 | 5 | 3 | 0 | 0 | 0 | 0 | 1 | 12 | |
Louisiana Tech | 1 | 26 | 9 | 16 | .562 | 3 | 3 | 1.000 | 6 | 13 | .462 | 4 | 5 | .800 | 2 | 7 | 5 | 1 | 0 | 1 | 1 | 2 | 25 | |
Loyola (IL) | 1 | 14 | 4 | 6 | .667 | 0 | 2 | .000 | 4 | 4 | 1.000 | 0 | 0 | 4 | 5 | 1 | 1 | 1 | 0 | 1 | 3 | 8 | ||
Mercer | 1 | 14 | 1 | 2 | .500 | 0 | 0 | 1 | 2 | .500 | 1 | 1 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 3 | ||
Mississippi State | 1 | 16 | 3 | 9 | .333 | 1 | 5 | .200 | 2 | 4 | .500 | 2 | 2 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 9 | |
Mississippi Valley State | 9 | 178 | 41 | 76 | .539 | 7 | 19 | .368 | 34 | 57 | .596 | 11 | 19 | .579 | 9 | 39 | 30 | 8 | 1 | 2 | 7 | 12 | 100 | |
Murray State | 1 | 24 | 3 | 8 | .375 | 0 | 1 | .000 | 3 | 7 | .429 | 2 | 3 | .667 | 4 | 5 | 1 | 1 | 0 | 0 | 2 | 1 | 8 | |
North Dakota State | 1 | 30 | 3 | 15 | .200 | 0 | 2 | .000 | 3 | 13 | .231 | 4 | 5 | .800 | 4 | 6 | 2 | 1 | 0 | 0 | 0 | 3 | 10 | |
Northern Iowa | 1 | 25 | 3 | 9 | .333 | 1 | 4 | .250 | 2 | 5 | .400 | 0 | 0 | 1 | 6 | 5 | 1 | 1 | 0 | 1 | 1 | 7 | ||
Oakland | 1 | 18 | 2 | 6 | .333 | 1 | 2 | .500 | 1 | 4 | .250 | 1 | 2 | .500 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 2 | 6 | |
Ohio | 1 | 18 | 3 | 8 | .375 | 1 | 2 | .500 | 2 | 6 | .333 | 1 | 2 | .500 | 2 | 4 | 2 | 0 | 0 | 0 | 2 | 3 | 8 | |
Portland | 1 | 25 | 5 | 14 | .357 | 2 | 4 | .500 | 3 | 10 | .300 | 1 | 3 | .333 | 5 | 10 | 5 | 1 | 0 | 0 | 1 | 0 | 13 | |
Prairie View | 8 | 167 | 34 | 67 | .507 | 9 | 14 | .643 | 25 | 53 | .472 | 17 | 27 | .630 | 20 | 40 | 20 | 3 | 3 | 2 | 8 | 12 | 94 | |
San Francisco | 1 | 26 | 7 | 17 | .412 | 0 | 2 | .000 | 7 | 15 | .467 | 1 | 1 | 1.000 | 2 | 9 | 7 | 1 | 0 | 0 | 1 | 3 | 15 | |
Savannah State | 1 | 7 | 2 | 4 | .500 | 0 | 2 | .000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | ||
South Florida | 1 | 18 | 1 | 7 | .143 | 1 | 5 | .200 | 0 | 2 | .000 | 1 | 2 | .500 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 4 | |
Southern | 9 | 193 | 46 | 90 | .511 | 7 | 23 | .304 | 39 | 67 | .582 | 20 | 25 | .800 | 20 | 46 | 26 | 6 | 5 | 3 | 12 | 9 | 119 | |
UT-Martin | 1 | 20 | 4 | 6 | .667 | 1 | 3 | .333 | 3 | 3 | 1.000 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 1 | 9 | ||
Tennessee State | 1 | 24 | 3 | 11 | .273 | 0 | 2 | .000 | 3 | 9 | .333 | 2 | 2 | 1.000 | 3 | 4 | 1 | 2 | 0 | 0 | 1 | 1 | 8 | |
Texas | 1 | 25 | 7 | 15 | .467 | 1 | 3 | .333 | 6 | 12 | .500 | 0 | 0 | 3 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 15 | ||
UTEP | 2 | 46 | 8 | 17 | .471 | 4 | 7 | .571 | 4 | 10 | .400 | 1 | 2 | .500 | 1 | 4 | 3 | 0 | 0 | 0 | 2 | 1 | 21 | |
Texas Southern | 9 | 167 | 35 | 86 | .407 | 7 | 22 | .318 | 28 | 64 | .438 | 9 | 13 | .692 | 18 | 33 | 15 | 6 | 3 | 2 | 13 | 16 | 86 | |
Troy | 1 | 29 | 5 | 9 | .556 | 3 | 5 | .600 | 2 | 4 | .500 | 0 | 0 | 3 | 4 | 1 | 1 | 0 | 0 | 2 | 1 | 13 | ||
Tulane | 1 | 6 | 1 | 5 | .200 | 0 | 2 | .000 | 1 | 3 | .333 | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | ||
Vanderbilt | 1 | 14 | 3 | 9 | .333 | 0 | 3 | .000 | 3 | 6 | .500 | 0 | 0 | 1 | 2 | 1 | 0 | 1 | 0 | 2 | 2 | 6 | ||
Yale | 1 | 36 | 6 | 17 | .353 | 0 | 4 | .000 | 6 | 13 | .462 | 3 | 5 | .600 | 3 | 4 | 1 | 4 | 3 | 1 | 2 | 2 | 15 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
Location | Away | 66 | 1427 | 284 | 615 | .462 | 62 | 187 | .332 | 222 | 428 | .519 | 74 | 109 | .679 | 115 | 262 | 147 | 34 | 25 | 10 | 78 | 94 | 704 |
Home | 34 | 709 | 143 | 302 | .474 | 19 | 67 | .284 | 124 | 235 | .528 | 63 | 101 | .624 | 65 | 161 | 96 | 30 | 14 | 6 | 35 | 45 | 368 | |
Neutral | 12 | 255 | 49 | 115 | .426 | 6 | 26 | .231 | 43 | 89 | .483 | 18 | 23 | .783 | 28 | 44 | 16 | 6 | 0 | 3 | 8 | 21 | 122 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
Game Type | Conf Tourn | 7 | 163 | 36 | 73 | .493 | 7 | 16 | .438 | 29 | 57 | .509 | 9 | 12 | .750 | 20 | 41 | 21 | 2 | 0 | 1 | 7 | 13 | 88 |
Reg Seas | 105 | 2228 | 440 | 959 | .459 | 80 | 264 | .303 | 360 | 695 | .518 | 146 | 221 | .661 | 188 | 426 | 238 | 68 | 39 | 18 | 114 | 147 | 1106 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
Game Result | Loss | 76 | 1622 | 318 | 715 | .445 | 62 | 204 | .304 | 256 | 511 | .501 | 93 | 140 | .664 | 146 | 310 | 164 | 41 | 27 | 14 | 81 | 111 | 791 |
Win | 36 | 769 | 158 | 317 | .498 | 25 | 76 | .329 | 133 | 241 | .552 | 62 | 93 | .667 | 62 | 157 | 95 | 29 | 12 | 5 | 40 | 49 | 403 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
Role | Reserve | 83 | 1695 | 346 | 723 | .479 | 58 | 182 | .319 | 288 | 541 | .532 | 107 | 156 | .686 | 152 | 349 | 197 | 47 | 21 | 12 | 83 | 116 | 857 |
Starter | 29 | 696 | 130 | 309 | .421 | 29 | 98 | .296 | 101 | 211 | .479 | 48 | 77 | .623 | 56 | 118 | 62 | 23 | 18 | 7 | 38 | 44 | 337 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
Month | November | 26 | 557 | 112 | 251 | .446 | 22 | 76 | .289 | 90 | 175 | .514 | 22 | 35 | .629 | 49 | 95 | 46 | 19 | 12 | 3 | 22 | 34 | 268 |
December | 15 | 351 | 63 | 151 | .417 | 13 | 44 | .295 | 50 | 107 | .467 | 22 | 31 | .710 | 28 | 61 | 33 | 6 | 1 | 2 | 21 | 23 | 161 | |
January | 27 | 560 | 112 | 243 | .461 | 19 | 67 | .284 | 93 | 176 | .528 | 47 | 64 | .734 | 53 | 132 | 79 | 15 | 14 | 4 | 27 | 38 | 290 | |
February | 28 | 591 | 115 | 233 | .494 | 18 | 55 | .327 | 97 | 178 | .545 | 41 | 69 | .594 | 41 | 106 | 65 | 23 | 10 | 7 | 29 | 39 | 289 | |
March | 16 | 332 | 74 | 154 | .481 | 15 | 38 | .395 | 59 | 116 | .509 | 23 | 34 | .676 | 37 | 73 | 36 | 7 | 2 | 3 | 22 | 26 | 186 | |
Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | TRB | DRB | AST | STL | BLK | TOV | PF | PTS |
vs. Conf | AAC | 2 | 24 | 2 | 12 | .167 | 1 | 7 | .143 | 1 | 5 | .200 | 1 | 2 | .500 | 2 | 4 | 2 | 0 | 0 | 0 | 1 | 2 | 6 |
ACC | 1 | 25 | 6 | 10 | .600 | 0 | 2 | .000 | 6 | 8 | .750 | 3 | 5 | .600 | 3 | 5 | 2 | 0 | 1 | 0 | 1 | 1 | 15 | |
A-Sun | 2 | 38 | 11 | 21 | .524 | 3 | 8 | .375 | 8 | 13 | .615 | 1 | 4 | .250 | 2 | 4 | 2 | 1 | 0 | 1 | 2 | 1 | 26 | |
Big 12 | 2 | 51 | 13 | 25 | .520 | 3 | 6 | .500 | 10 | 19 | .526 | 0 | 1 | .000 | 4 | 6 | 2 | 2 | 2 | 0 | 0 | 1 | 29 | |
Big East | 1 | 21 | 6 | 13 | .462 | 2 | 3 | .667 | 4 | 10 | .400 | 0 | 0 | 4 | 5 | 1 | 1 | 0 | 0 | 3 | 2 | 14 | ||
Big Ten | 2 | 50 | 10 | 25 | .400 | 0 | 5 | .000 | 10 | 20 | .500 | 2 | 3 | .667 | 5 | 6 | 1 | 2 | 1 | 0 | 2 | 2 | 22 | |
CUSA | 4 | 86 | 20 | 42 | .476 | 10 | 17 | .588 | 10 | 25 | .400 | 5 | 7 | .714 | 3 | 14 | 11 | 1 | 0 | 1 | 4 | 3 | 55 | |
Horizon | 1 | 18 | 2 | 6 | .333 | 1 | 2 | .500 | 1 | 4 | .250 | 1 | 2 | .500 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 2 | 6 | |
Ivy | 1 | 36 | 6 | 17 | .353 | 0 | 4 | .000 | 6 | 13 | .462 | 3 | 5 | .600 | 3 | 4 | 1 | 4 | 3 | 1 | 2 | 2 | 15 | |
MAC | 2 | 29 | 3 | 12 | .250 | 1 | 5 | .200 | 2 | 7 | .286 | 2 | 4 | .500 | 2 | 4 | 2 | 1 | 0 | 0 | 3 | 4 | 9 | |
MEAC | 3 | 56 | 10 | 21 | .476 | 0 | 6 | .000 | 10 | 15 | .667 | 4 | 4 | 1.000 | 3 | 5 | 2 | 1 | 0 | 1 | 0 | 6 | 24 | |
MVC | 3 | 63 | 12 | 23 | .522 | 3 | 9 | .333 | 9 | 14 | .643 | 0 | 0 | 8 | 16 | 8 | 2 | 3 | 0 | 2 | 5 | 27 | ||
MWC | 1 | 23 | 6 | 8 | .750 | 2 | 2 | 1.000 | 4 | 6 | .667 | 0 | 0 | 1 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 14 | ||
OVC | 3 | 68 | 10 | 25 | .400 | 1 | 6 | .167 | 9 | 19 | .474 | 4 | 5 | .800 | 7 | 10 | 3 | 3 | 0 | 0 | 6 | 3 | 25 | |
Pac-12 | 2 | 55 | 11 | 24 | .458 | 0 | 4 | .000 | 11 | 20 | .550 | 1 | 2 | .500 | 5 | 10 | 5 | 0 | 1 | 1 | 1 | 0 | 23 | |
SEC | 3 | 60 | 11 | 30 | .367 | 1 | 11 | .091 | 10 | 19 | .526 | 4 | 6 | .667 | 3 | 8 | 5 | 0 | 1 | 0 | 4 | 5 | 27 | |
Southern | 1 | 14 | 1 | 2 | .500 | 0 | 0 | 1 | 2 | .500 | 1 | 1 | 1.000 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 3 | ||
Southland | 1 | 23 | 5 | 8 | .625 | 1 | 2 | .500 | 4 | 6 | .667 | 3 | 3 | 1.000 | 1 | 4 | 3 | 1 | 0 | 0 | 2 | 2 | 14 | |
Summit | 1 | 30 | 3 | 15 | .200 | 0 | 2 | .000 | 3 | 13 | .231 | 4 | 5 | .800 | 4 | 6 | 2 | 1 | 0 | 0 | 0 | 3 | 10 | |
Sun Belt | 1 | 29 | 5 | 9 | .556 | 3 | 5 | .600 | 2 | 4 | .500 | 0 | 0 | 3 | 4 | 1 | 1 | 0 | 0 | 2 | 1 | 13 | ||
SWAC | 71 | 1483 | 301 | 630 | .478 | 52 | 160 | .325 | 249 | 470 | .530 | 111 | 167 | .665 | 131 | 311 | 180 | 45 | 26 | 14 | 78 | 103 | 765 | |
WAC | 2 | 58 | 10 | 23 | .435 | 1 | 8 | .125 | 9 | 15 | .600 | 3 | 3 | 1.000 | 5 | 14 | 9 | 0 | 1 | 0 | 4 | 7 | 24 | |
WCC | 2 | 51 | 12 | 31 | .387 | 2 | 6 | .333 | 10 | 25 | .400 | 2 | 4 | .500 | 7 | 19 | 12 | 2 | 0 | 0 | 2 | 3 | 28 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Saturday, January 11, 5:46AM
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.