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 | 1988 | 178 | 577 | .308 | 74 | 269 | .275 | 104 | 308 | .338 | 162 | 190 | .853 | 45 | 159 | 114 | 145 | 59 | 6 | 140 | 121 | 592 | |
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 | 24 | 455 | 44 | 143 | .308 | 20 | 65 | .308 | 24 | 78 | .308 | 42 | 51 | .824 | 9 | 32 | 23 | 35 | 15 | 2 | 43 | 29 | 150 |
December | 21 | 367 | 25 | 97 | .258 | 11 | 45 | .244 | 14 | 52 | .269 | 29 | 34 | .853 | 10 | 25 | 15 | 32 | 12 | 1 | 22 | 25 | 90 | |
January | 29 | 523 | 49 | 145 | .338 | 20 | 66 | .303 | 29 | 79 | .367 | 41 | 49 | .837 | 9 | 44 | 35 | 32 | 15 | 1 | 34 | 29 | 159 | |
February | 31 | 594 | 56 | 182 | .308 | 22 | 88 | .250 | 34 | 94 | .362 | 44 | 49 | .898 | 13 | 49 | 36 | 45 | 16 | 2 | 39 | 30 | 178 | |
March | 7 | 49 | 4 | 10 | .400 | 1 | 5 | .200 | 3 | 5 | .600 | 6 | 7 | .857 | 4 | 9 | 5 | 1 | 1 | 0 | 2 | 8 | 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 |
vs. Team | Austin Peay | 5 | 87 | 7 | 23 | .304 | 0 | 5 | .000 | 7 | 18 | .389 | 10 | 13 | .769 | 1 | 7 | 6 | 8 | 0 | 0 | 5 | 6 | 24 |
Baylor | 2 | 41 | 4 | 9 | .444 | 3 | 6 | .500 | 1 | 3 | .333 | 0 | 0 | 1 | 3 | 2 | 2 | 1 | 1 | 3 | 4 | 11 | ||
Belmont | 8 | 147 | 12 | 51 | .235 | 6 | 23 | .261 | 6 | 28 | .214 | 5 | 7 | .714 | 4 | 15 | 11 | 10 | 4 | 0 | 6 | 13 | 35 | |
Bowling Green State | 1 | 21 | 2 | 7 | .286 | 0 | 2 | .000 | 2 | 5 | .400 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | 3 | 0 | 4 | 2 | 6 | |
Canisius | 1 | 9 | 1 | 3 | .333 | 0 | 2 | .000 | 1 | 1 | 1.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ||
Chicago State | 3 | 52 | 6 | 18 | .333 | 3 | 5 | .600 | 3 | 13 | .231 | 10 | 11 | .909 | 1 | 3 | 2 | 5 | 2 | 1 | 5 | 3 | 25 | |
Dayton | 1 | 30 | 0 | 7 | .000 | 0 | 2 | .000 | 0 | 5 | .000 | 2 | 2 | 1.000 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 2 | |
Eastern Illinois | 5 | 91 | 7 | 19 | .368 | 2 | 9 | .222 | 5 | 10 | .500 | 2 | 2 | 1.000 | 2 | 5 | 3 | 4 | 4 | 1 | 8 | 3 | 18 | |
Eastern Kentucky | 9 | 145 | 13 | 42 | .310 | 9 | 25 | .360 | 4 | 17 | .235 | 8 | 8 | 1.000 | 4 | 11 | 7 | 8 | 0 | 0 | 5 | 12 | 43 | |
Eastern Michigan | 1 | 32 | 5 | 18 | .278 | 3 | 9 | .333 | 2 | 9 | .222 | 6 | 9 | .667 | 3 | 4 | 1 | 2 | 0 | 0 | 3 | 2 | 19 | |
Evansville | 2 | 34 | 1 | 8 | .125 | 1 | 5 | .200 | 0 | 3 | .000 | 2 | 2 | 1.000 | 2 | 3 | 1 | 6 | 2 | 0 | 2 | 2 | 5 | |
Florida A&M | 1 | 33 | 1 | 7 | .143 | 1 | 4 | .250 | 0 | 3 | .000 | 7 | 8 | .875 | 0 | 0 | 0 | 3 | 2 | 0 | 3 | 2 | 10 | |
Gardner-Webb | 2 | 28 | 2 | 6 | .333 | 0 | 1 | .000 | 2 | 5 | .400 | 1 | 1 | 1.000 | 1 | 3 | 2 | 3 | 2 | 0 | 4 | 2 | 5 | |
Georgia State | 1 | 33 | 2 | 10 | .200 | 1 | 2 | .500 | 1 | 8 | .125 | 1 | 2 | .500 | 0 | 3 | 3 | 3 | 0 | 1 | 4 | 3 | 6 | |
Jacksonville State | 8 | 125 | 13 | 33 | .394 | 1 | 6 | .167 | 12 | 27 | .444 | 15 | 16 | .938 | 2 | 10 | 8 | 5 | 6 | 0 | 5 | 10 | 42 | |
Kennesaw State | 1 | 18 | 1 | 8 | .125 | 0 | 2 | .000 | 1 | 6 | .167 | 0 | 0 | 1 | 2 | 1 | 2 | 2 | 0 | 4 | 2 | 2 | ||
Kentucky | 4 | 62 | 6 | 19 | .316 | 2 | 10 | .200 | 4 | 9 | .444 | 8 | 8 | 1.000 | 1 | 5 | 4 | 5 | 2 | 0 | 6 | 9 | 22 | |
Lipscomb | 3 | 42 | 3 | 12 | .250 | 2 | 7 | .286 | 1 | 5 | .200 | 9 | 10 | .900 | 1 | 2 | 1 | 4 | 2 | 0 | 1 | 3 | 17 | |
Miami (OH) | 1 | 21 | 2 | 6 | .333 | 2 | 4 | .500 | 0 | 2 | .000 | 2 | 2 | 1.000 | 1 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 8 | |
Michigan State | 1 | 32 | 2 | 7 | .286 | 1 | 3 | .333 | 1 | 4 | .250 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 1 | 5 | ||
Middle Tennessee | 1 | 8 | 1 | 3 | .333 | 0 | 1 | .000 | 1 | 2 | .500 | 0 | 0 | 1 | 4 | 3 | 0 | 0 | 0 | 1 | 1 | 2 | ||
Murray State | 5 | 89 | 5 | 21 | .238 | 3 | 13 | .231 | 2 | 8 | .250 | 11 | 11 | 1.000 | 2 | 9 | 7 | 9 | 1 | 0 | 11 | 1 | 24 | |
North Carolina A&T | 2 | 40 | 3 | 9 | .333 | 1 | 3 | .333 | 2 | 6 | .333 | 2 | 2 | 1.000 | 1 | 3 | 2 | 2 | 0 | 0 | 2 | 1 | 9 | |
North Florida | 2 | 30 | 1 | 8 | .125 | 0 | 4 | .000 | 1 | 4 | .250 | 6 | 6 | 1.000 | 0 | 1 | 1 | 4 | 0 | 0 | 2 | 3 | 8 | |
Ohio State | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
Radford | 2 | 36 | 4 | 9 | .444 | 3 | 6 | .500 | 1 | 3 | .333 | 6 | 8 | .750 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 17 | |
Sacramento State | 1 | 15 | 1 | 4 | .250 | 1 | 3 | .333 | 0 | 1 | .000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 5 | |
Saint Francis (PA) | 2 | 41 | 6 | 13 | .462 | 2 | 7 | .286 | 4 | 6 | .667 | 2 | 2 | 1.000 | 1 | 5 | 4 | 1 | 0 | 0 | 4 | 1 | 16 | |
Southeast Missouri State | 5 | 71 | 6 | 21 | .286 | 3 | 12 | .250 | 3 | 9 | .333 | 1 | 4 | .250 | 1 | 8 | 7 | 2 | 3 | 0 | 5 | 6 | 16 | |
SIU-Edwardsville | 5 | 88 | 7 | 26 | .269 | 3 | 16 | .188 | 4 | 10 | .400 | 14 | 15 | .933 | 4 | 8 | 4 | 12 | 2 | 1 | 7 | 2 | 31 | |
Southern Illinois | 1 | 5 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | |||
St. Francis (NY) | 2 | 29 | 2 | 8 | .250 | 0 | 5 | .000 | 2 | 3 | .667 | 1 | 2 | .500 | 1 | 3 | 2 | 4 | 2 | 0 | 1 | 3 | 5 | |
Stetson | 1 | 30 | 2 | 8 | .250 | 2 | 5 | .400 | 0 | 3 | .000 | 0 | 0 | 1 | 2 | 1 | 1 | 1 | 0 | 3 | 2 | 6 | ||
UT-Martin | 4 | 104 | 9 | 25 | .360 | 5 | 16 | .312 | 4 | 9 | .444 | 5 | 6 | .833 | 1 | 9 | 8 | 10 | 2 | 0 | 7 | 4 | 28 | |
Tennessee State | 8 | 140 | 18 | 45 | .400 | 8 | 19 | .421 | 10 | 26 | .385 | 18 | 21 | .857 | 3 | 11 | 8 | 9 | 8 | 1 | 11 | 7 | 62 | |
Tennessee Tech | 6 | 107 | 15 | 40 | .375 | 3 | 14 | .214 | 12 | 26 | .462 | 1 | 2 | .500 | 3 | 10 | 7 | 7 | 2 | 0 | 6 | 7 | 34 | |
Valparaiso | 2 | 48 | 8 | 17 | .471 | 3 | 9 | .333 | 5 | 8 | .625 | 1 | 1 | 1.000 | 1 | 3 | 2 | 2 | 0 | 0 | 2 | 1 | 20 | |
West Virginia | 1 | 17 | 0 | 5 | .000 | 0 | 2 | .000 | 0 | 3 | .000 | 0 | 2 | .000 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 0 | |
Western Kentucky | 1 | 4 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 2 | 3 | .667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | ||
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 | 49 | 985 | 79 | 293 | .270 | 31 | 138 | .225 | 48 | 155 | .310 | 51 | 62 | .823 | 21 | 82 | 61 | 69 | 25 | 3 | 64 | 72 | 240 |
Win | 63 | 1003 | 99 | 284 | .349 | 43 | 131 | .328 | 56 | 153 | .366 | 111 | 128 | .867 | 24 | 77 | 53 | 76 | 34 | 3 | 76 | 49 | 352 | |
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 | 3 | 28 | 3 | 5 | .600 | 1 | 2 | .500 | 2 | 3 | .667 | 4 | 4 | 1.000 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 6 | 11 |
Reg Seas | 106 | 1945 | 174 | 568 | .306 | 73 | 265 | .275 | 101 | 303 | .333 | 156 | 183 | .852 | 41 | 151 | 110 | 145 | 58 | 6 | 138 | 114 | 577 | |
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 | 82 | 1023 | 84 | 269 | .312 | 37 | 125 | .296 | 47 | 144 | .326 | 73 | 91 | .802 | 27 | 98 | 71 | 85 | 35 | 3 | 72 | 74 | 278 |
Starter | 30 | 965 | 94 | 308 | .305 | 37 | 144 | .257 | 57 | 164 | .348 | 89 | 99 | .899 | 18 | 61 | 43 | 60 | 24 | 3 | 68 | 47 | 314 | |
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 | A-10 | 1 | 30 | 0 | 7 | .000 | 0 | 2 | .000 | 0 | 5 | .000 | 2 | 2 | 1.000 | 0 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 2 |
A-Sun | 7 | 120 | 7 | 36 | .194 | 4 | 18 | .222 | 3 | 18 | .167 | 15 | 16 | .938 | 3 | 7 | 4 | 11 | 5 | 0 | 10 | 10 | 33 | |
Big 12 | 3 | 58 | 4 | 14 | .286 | 3 | 8 | .375 | 1 | 6 | .167 | 0 | 2 | .000 | 1 | 5 | 4 | 4 | 3 | 1 | 5 | 6 | 11 | |
Big Sky | 1 | 15 | 1 | 4 | .250 | 1 | 3 | .333 | 0 | 1 | .000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 5 | |
Big South | 4 | 64 | 6 | 15 | .400 | 3 | 7 | .429 | 3 | 8 | .375 | 7 | 9 | .778 | 1 | 4 | 3 | 4 | 2 | 0 | 6 | 3 | 22 | |
Big Ten | 2 | 35 | 2 | 7 | .286 | 1 | 3 | .333 | 1 | 4 | .250 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 1 | 5 | ||
CUSA | 2 | 12 | 1 | 4 | .250 | 0 | 2 | .000 | 1 | 2 | .500 | 2 | 3 | .667 | 1 | 4 | 3 | 0 | 0 | 0 | 2 | 1 | 4 | |
MAAC | 1 | 9 | 1 | 3 | .333 | 0 | 2 | .000 | 1 | 1 | 1.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | ||
MAC | 3 | 74 | 9 | 31 | .290 | 5 | 15 | .333 | 4 | 16 | .250 | 10 | 13 | .769 | 4 | 6 | 2 | 6 | 3 | 0 | 8 | 4 | 33 | |
MEAC | 3 | 73 | 4 | 16 | .250 | 2 | 7 | .286 | 2 | 9 | .222 | 9 | 10 | .900 | 1 | 3 | 2 | 5 | 2 | 0 | 5 | 3 | 19 | |
MVC | 5 | 87 | 9 | 26 | .346 | 4 | 15 | .267 | 5 | 11 | .455 | 3 | 3 | 1.000 | 3 | 6 | 3 | 10 | 3 | 0 | 5 | 3 | 25 | |
NEC | 4 | 70 | 8 | 21 | .381 | 2 | 12 | .167 | 6 | 9 | .667 | 3 | 4 | .750 | 2 | 8 | 6 | 5 | 2 | 0 | 5 | 4 | 21 | |
OVC | 68 | 1194 | 112 | 346 | .324 | 43 | 158 | .272 | 69 | 188 | .367 | 90 | 105 | .857 | 27 | 103 | 76 | 84 | 32 | 3 | 76 | 71 | 357 | |
SEC | 4 | 62 | 6 | 19 | .316 | 2 | 10 | .200 | 4 | 9 | .444 | 8 | 8 | 1.000 | 1 | 5 | 4 | 5 | 2 | 0 | 6 | 9 | 22 | |
Sun Belt | 1 | 33 | 2 | 10 | .200 | 1 | 2 | .500 | 1 | 8 | .125 | 1 | 2 | .500 | 0 | 3 | 3 | 3 | 0 | 1 | 4 | 3 | 6 | |
WAC | 3 | 52 | 6 | 18 | .333 | 3 | 5 | .600 | 3 | 13 | .231 | 10 | 11 | .909 | 1 | 3 | 2 | 5 | 2 | 1 | 5 | 3 | 25 | |
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 | 60 | 1070 | 97 | 299 | .324 | 38 | 140 | .271 | 59 | 159 | .371 | 85 | 100 | .850 | 23 | 88 | 65 | 80 | 34 | 2 | 76 | 74 | 317 |
Home | 52 | 918 | 81 | 278 | .291 | 36 | 129 | .279 | 45 | 149 | .302 | 77 | 90 | .856 | 22 | 71 | 49 | 65 | 25 | 4 | 64 | 47 | 275 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Wednesday, March 26, 6:12AM
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.