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 | 85 | 2627 | 420 | 1043 | .403 | 100 | 294 | .340 | 320 | 749 | .427 | 209 | 238 | .878 | 35 | 222 | 187 | 284 | 102 | 16 | 189 | 213 | 1149 | |
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 | Arizona | 1 | 35 | 3 | 16 | .188 | 1 | 3 | .333 | 2 | 13 | .154 | 0 | 0 | 0 | 3 | 3 | 2 | 1 | 0 | 5 | 1 | 7 | |
Arizona State | 1 | 12 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 2 | 3 | 0 | |||
Bethune-Cookman | 2 | 74 | 17 | 31 | .548 | 3 | 9 | .333 | 14 | 22 | .636 | 6 | 8 | .750 | 0 | 4 | 4 | 5 | 5 | 1 | 4 | 3 | 43 | |
Cal State Bakersfield | 1 | 37 | 2 | 9 | .222 | 0 | 2 | .000 | 2 | 7 | .286 | 3 | 3 | 1.000 | 0 | 2 | 2 | 5 | 2 | 0 | 4 | 3 | 7 | |
Cal State Fullerton | 6 | 185 | 35 | 84 | .417 | 8 | 20 | .400 | 27 | 64 | .422 | 19 | 22 | .864 | 3 | 10 | 7 | 22 | 4 | 1 | 13 | 14 | 97 | |
Cal State Northridge | 6 | 221 | 42 | 89 | .472 | 11 | 29 | .379 | 31 | 60 | .517 | 20 | 20 | 1.000 | 1 | 23 | 22 | 24 | 4 | 3 | 15 | 16 | 115 | |
California | 3 | 90 | 17 | 42 | .405 | 8 | 16 | .500 | 9 | 26 | .346 | 2 | 2 | 1.000 | 2 | 8 | 6 | 10 | 3 | 0 | 7 | 6 | 44 | |
UC-Davis | 7 | 220 | 30 | 81 | .370 | 7 | 23 | .304 | 23 | 58 | .397 | 9 | 12 | .750 | 4 | 19 | 15 | 27 | 8 | 2 | 16 | 25 | 76 | |
UC-Irvine | 6 | 182 | 30 | 78 | .385 | 3 | 11 | .273 | 27 | 67 | .403 | 16 | 18 | .889 | 5 | 17 | 12 | 11 | 8 | 1 | 6 | 9 | 79 | |
UC-Riverside | 6 | 163 | 27 | 58 | .466 | 8 | 19 | .421 | 19 | 39 | .487 | 12 | 17 | .706 | 0 | 19 | 19 | 21 | 2 | 2 | 8 | 19 | 74 | |
UCSB | 7 | 229 | 37 | 86 | .430 | 11 | 27 | .407 | 26 | 59 | .441 | 15 | 17 | .882 | 5 | 16 | 11 | 26 | 9 | 1 | 9 | 14 | 100 | |
Central Michigan | 1 | 36 | 7 | 13 | .538 | 2 | 4 | .500 | 5 | 9 | .556 | 4 | 4 | 1.000 | 1 | 9 | 8 | 4 | 1 | 0 | 1 | 2 | 20 | |
College of Charleston | 1 | 38 | 5 | 15 | .333 | 3 | 5 | .600 | 2 | 10 | .200 | 4 | 4 | 1.000 | 0 | 3 | 3 | 6 | 2 | 1 | 3 | 1 | 17 | |
Elon | 1 | 32 | 2 | 7 | .286 | 1 | 3 | .333 | 1 | 4 | .250 | 0 | 0 | 0 | 3 | 3 | 1 | 0 | 0 | 3 | 5 | 5 | ||
Fresno State | 3 | 84 | 11 | 37 | .297 | 1 | 9 | .111 | 10 | 28 | .357 | 6 | 6 | 1.000 | 0 | 2 | 2 | 6 | 2 | 0 | 11 | 7 | 29 | |
Grand Canyon | 1 | 32 | 5 | 9 | .556 | 2 | 3 | .667 | 3 | 6 | .500 | 2 | 2 | 1.000 | 0 | 2 | 2 | 1 | 1 | 1 | 3 | 4 | 14 | |
Hawaii | 6 | 176 | 28 | 70 | .400 | 6 | 18 | .333 | 22 | 52 | .423 | 25 | 28 | .893 | 0 | 8 | 8 | 13 | 7 | 0 | 11 | 17 | 87 | |
Idaho | 1 | 30 | 3 | 12 | .250 | 0 | 3 | .000 | 3 | 9 | .333 | 4 | 4 | 1.000 | 0 | 2 | 2 | 2 | 1 | 0 | 2 | 3 | 10 | |
UIC | 1 | 23 | 4 | 13 | .308 | 0 | 0 | 4 | 13 | .308 | 8 | 8 | 1.000 | 1 | 3 | 2 | 2 | 2 | 0 | 0 | 4 | 16 | ||
Long Beach State | 6 | 187 | 35 | 88 | .398 | 6 | 25 | .240 | 29 | 63 | .460 | 21 | 24 | .875 | 5 | 13 | 8 | 19 | 8 | 2 | 14 | 15 | 97 | |
Northern Illinois | 1 | 9 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | |||
Pepperdine | 2 | 56 | 6 | 15 | .400 | 1 | 5 | .200 | 5 | 10 | .500 | 8 | 8 | 1.000 | 1 | 5 | 4 | 11 | 3 | 0 | 3 | 2 | 21 | |
Portland | 1 | 34 | 2 | 14 | .143 | 0 | 4 | .000 | 2 | 10 | .200 | 0 | 1 | .000 | 1 | 3 | 2 | 5 | 1 | 0 | 2 | 1 | 4 | |
Princeton | 2 | 59 | 6 | 14 | .429 | 0 | 4 | .000 | 6 | 10 | .600 | 2 | 3 | .667 | 1 | 6 | 5 | 6 | 0 | 0 | 3 | 2 | 14 | |
Santa Clara | 1 | 34 | 7 | 13 | .538 | 3 | 5 | .600 | 4 | 8 | .500 | 6 | 6 | 1.000 | 1 | 5 | 4 | 3 | 0 | 0 | 2 | 3 | 23 | |
Siena | 1 | 31 | 5 | 15 | .333 | 1 | 4 | .250 | 4 | 11 | .364 | 0 | 0 | 0 | 2 | 2 | 7 | 0 | 0 | 4 | 4 | 11 | ||
USC Upstate | 1 | 36 | 9 | 19 | .474 | 0 | 2 | .000 | 9 | 17 | .529 | 3 | 3 | 1.000 | 1 | 4 | 3 | 7 | 1 | 0 | 3 | 4 | 21 | |
SMU | 1 | 34 | 1 | 8 | .125 | 0 | 3 | .000 | 1 | 5 | .200 | 2 | 2 | 1.000 | 0 | 3 | 3 | 8 | 0 | 0 | 2 | 3 | 4 | |
Stanford | 1 | 38 | 9 | 16 | .562 | 2 | 4 | .500 | 7 | 12 | .583 | 1 | 1 | 1.000 | 0 | 6 | 6 | 5 | 4 | 0 | 2 | 3 | 21 | |
Texas A&M-Corpus Christi | 1 | 29 | 4 | 12 | .333 | 1 | 4 | .250 | 3 | 8 | .375 | 3 | 4 | .750 | 2 | 5 | 3 | 3 | 5 | 0 | 3 | 3 | 12 | |
UT Arlington | 2 | 60 | 9 | 28 | .321 | 4 | 15 | .267 | 5 | 13 | .385 | 2 | 3 | .667 | 0 | 7 | 7 | 6 | 5 | 0 | 12 | 5 | 24 | |
UTSA | 1 | 25 | 4 | 9 | .444 | 3 | 5 | .600 | 1 | 4 | .250 | 0 | 0 | 0 | 5 | 5 | 0 | 5 | 0 | 6 | 5 | 11 | ||
Texas State | 1 | 32 | 5 | 15 | .333 | 0 | 2 | .000 | 5 | 13 | .385 | 1 | 2 | .500 | 0 | 1 | 1 | 3 | 4 | 1 | 3 | 1 | 11 | |
Washington | 1 | 33 | 4 | 9 | .444 | 3 | 3 | 1.000 | 1 | 6 | .167 | 2 | 2 | 1.000 | 0 | 2 | 2 | 3 | 2 | 0 | 3 | 4 | 13 | |
Washington State | 1 | 31 | 9 | 16 | .562 | 1 | 3 | .333 | 8 | 13 | .615 | 3 | 4 | .750 | 1 | 1 | 0 | 7 | 2 | 0 | 2 | 2 | 22 | |
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 | 45 | 1356 | 202 | 526 | .384 | 48 | 153 | .314 | 154 | 373 | .413 | 103 | 119 | .866 | 20 | 106 | 86 | 143 | 44 | 7 | 114 | 104 | 555 |
Home | 31 | 974 | 179 | 408 | .439 | 46 | 120 | .383 | 133 | 288 | .462 | 80 | 92 | .870 | 11 | 87 | 76 | 111 | 45 | 6 | 57 | 84 | 484 | |
Neutral | 9 | 297 | 39 | 109 | .358 | 6 | 21 | .286 | 33 | 88 | .375 | 26 | 27 | .963 | 4 | 29 | 25 | 30 | 13 | 3 | 18 | 25 | 110 | |
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 | 15 | 342 | 49 | 133 | .368 | 12 | 41 | .293 | 37 | 92 | .402 | 35 | 41 | .854 | 11 | 26 | 15 | 26 | 13 | 1 | 24 | 31 | 145 |
Starter | 70 | 2285 | 371 | 910 | .408 | 88 | 253 | .348 | 283 | 657 | .431 | 174 | 197 | .883 | 24 | 196 | 172 | 258 | 89 | 15 | 165 | 182 | 1004 | |
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 | 65 | 1984 | 301 | 788 | .382 | 70 | 222 | .315 | 231 | 566 | .408 | 140 | 158 | .886 | 29 | 154 | 125 | 204 | 75 | 11 | 150 | 164 | 812 |
Win | 20 | 643 | 119 | 255 | .467 | 30 | 72 | .417 | 89 | 183 | .486 | 69 | 80 | .863 | 6 | 68 | 62 | 80 | 27 | 5 | 39 | 49 | 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 | 16 | 474 | 73 | 191 | .382 | 17 | 48 | .354 | 56 | 143 | .392 | 36 | 39 | .923 | 7 | 47 | 40 | 56 | 21 | 2 | 38 | 35 | 199 |
December | 19 | 590 | 83 | 218 | .381 | 23 | 74 | .311 | 60 | 144 | .417 | 36 | 41 | .878 | 5 | 50 | 45 | 65 | 31 | 2 | 59 | 49 | 225 | |
January | 21 | 636 | 112 | 261 | .429 | 31 | 75 | .413 | 81 | 186 | .435 | 48 | 58 | .828 | 8 | 39 | 31 | 68 | 21 | 4 | 39 | 55 | 303 | |
February | 20 | 628 | 107 | 268 | .399 | 21 | 70 | .300 | 86 | 198 | .434 | 61 | 71 | .859 | 9 | 57 | 48 | 65 | 15 | 6 | 37 | 50 | 296 | |
March | 9 | 299 | 45 | 105 | .429 | 8 | 27 | .296 | 37 | 78 | .474 | 28 | 29 | .966 | 6 | 29 | 23 | 30 | 14 | 2 | 16 | 24 | 126 | |
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 | 2 | 70 | 4 | 15 | .267 | 0 | 2 | .000 | 4 | 13 | .308 | 2 | 2 | 1.000 | 1 | 4 | 3 | 5 | 2 | 1 | 3 | 5 | 10 |
Reg Seas | 83 | 2557 | 416 | 1028 | .405 | 100 | 292 | .342 | 316 | 736 | .429 | 207 | 236 | .877 | 34 | 218 | 184 | 279 | 100 | 15 | 186 | 208 | 1139 | |
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 | 1 | 34 | 1 | 8 | .125 | 0 | 3 | .000 | 1 | 5 | .200 | 2 | 2 | 1.000 | 0 | 3 | 3 | 8 | 0 | 0 | 2 | 3 | 4 |
Big Sky | 1 | 30 | 3 | 12 | .250 | 0 | 3 | .000 | 3 | 9 | .333 | 4 | 4 | 1.000 | 0 | 2 | 2 | 2 | 1 | 0 | 2 | 3 | 10 | |
Big South | 1 | 36 | 9 | 19 | .474 | 0 | 2 | .000 | 9 | 17 | .529 | 3 | 3 | 1.000 | 1 | 4 | 3 | 7 | 1 | 0 | 3 | 4 | 21 | |
Big West | 50 | 1563 | 264 | 634 | .416 | 60 | 172 | .349 | 204 | 462 | .442 | 137 | 158 | .867 | 23 | 125 | 102 | 163 | 50 | 12 | 92 | 129 | 725 | |
CAA | 2 | 70 | 7 | 22 | .318 | 4 | 8 | .500 | 3 | 14 | .214 | 4 | 4 | 1.000 | 0 | 6 | 6 | 7 | 2 | 1 | 6 | 6 | 22 | |
CUSA | 1 | 25 | 4 | 9 | .444 | 3 | 5 | .600 | 1 | 4 | .250 | 0 | 0 | 0 | 5 | 5 | 0 | 5 | 0 | 6 | 5 | 11 | ||
Horizon | 1 | 23 | 4 | 13 | .308 | 0 | 0 | 4 | 13 | .308 | 8 | 8 | 1.000 | 1 | 3 | 2 | 2 | 2 | 0 | 0 | 4 | 16 | ||
Ivy | 2 | 59 | 6 | 14 | .429 | 0 | 4 | .000 | 6 | 10 | .600 | 2 | 3 | .667 | 1 | 6 | 5 | 6 | 0 | 0 | 3 | 2 | 14 | |
MAAC | 1 | 31 | 5 | 15 | .333 | 1 | 4 | .250 | 4 | 11 | .364 | 0 | 0 | 0 | 2 | 2 | 7 | 0 | 0 | 4 | 4 | 11 | ||
MAC | 2 | 45 | 7 | 14 | .500 | 2 | 5 | .400 | 5 | 9 | .556 | 4 | 4 | 1.000 | 1 | 9 | 8 | 5 | 1 | 0 | 3 | 2 | 20 | |
MEAC | 2 | 74 | 17 | 31 | .548 | 3 | 9 | .333 | 14 | 22 | .636 | 6 | 8 | .750 | 0 | 4 | 4 | 5 | 5 | 1 | 4 | 3 | 43 | |
MWC | 3 | 84 | 11 | 37 | .297 | 1 | 9 | .111 | 10 | 28 | .357 | 6 | 6 | 1.000 | 0 | 2 | 2 | 6 | 2 | 0 | 11 | 7 | 29 | |
Pac-12 | 8 | 239 | 42 | 100 | .420 | 15 | 30 | .500 | 27 | 70 | .386 | 8 | 9 | .889 | 3 | 21 | 18 | 29 | 12 | 0 | 21 | 19 | 107 | |
Southland | 1 | 29 | 4 | 12 | .333 | 1 | 4 | .250 | 3 | 8 | .375 | 3 | 4 | .750 | 2 | 5 | 3 | 3 | 5 | 0 | 3 | 3 | 12 | |
Sun Belt | 3 | 92 | 14 | 43 | .326 | 4 | 17 | .235 | 10 | 26 | .385 | 3 | 5 | .600 | 0 | 8 | 8 | 9 | 9 | 1 | 15 | 6 | 35 | |
WAC | 2 | 69 | 7 | 18 | .389 | 2 | 5 | .400 | 5 | 13 | .385 | 5 | 5 | 1.000 | 0 | 4 | 4 | 6 | 3 | 1 | 7 | 7 | 21 | |
WCC | 4 | 124 | 15 | 42 | .357 | 4 | 14 | .286 | 11 | 28 | .393 | 14 | 15 | .933 | 3 | 13 | 10 | 19 | 4 | 0 | 7 | 6 | 48 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Saturday, February 15, 5:56AM
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.