Player splits includes games from 2004-05 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 | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 62 | 526 | 19 | 67 | .284 | 15 | 47 | .319 | 4 | 20 | .200 | 9 | 20 | .450 | 21 | 44 | 65 | 18 | 9 | 2 | 14 | 39 | 62 | |
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| vs. Team | Bellarmine | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | ||||
| Bethune-Cookman | 2 | 20 | 1 | 4 | .250 | 1 | 3 | .333 | 0 | 1 | .000 | 0 | 0 | 3 | 2 | 5 | 3 | 0 | 0 | 1 | 0 | 3 | ||
| Bowling Green | 1 | 2 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Campbell | 1 | 12 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | |||
| Clemson | 1 | 9 | 0 | 2 | .000 | 0 | 2 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Dartmouth | 1 | 1 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Florida A&M | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
| Florida Gulf Coast | 2 | 20 | 1 | 5 | .200 | 0 | 3 | .000 | 1 | 2 | .500 | 0 | 0 | 1 | 2 | 3 | 1 | 1 | 0 | 0 | 2 | 2 | ||
| Indiana | 1 | 5 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | |||
| Kansas State | 1 | 12 | 1 | 2 | .500 | 1 | 2 | .500 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | |||
| Kennesaw State | 7 | 64 | 1 | 5 | .200 | 1 | 3 | .333 | 0 | 2 | .000 | 2 | 2 | 1.000 | 3 | 3 | 6 | 4 | 2 | 0 | 2 | 4 | 5 | |
| Liberty | 6 | 75 | 2 | 8 | .250 | 1 | 5 | .200 | 1 | 3 | .333 | 0 | 2 | .000 | 0 | 7 | 7 | 2 | 3 | 0 | 1 | 6 | 5 | |
| Lipscomb | 6 | 54 | 1 | 7 | .143 | 1 | 7 | .143 | 0 | 0 | 0 | 2 | .000 | 2 | 4 | 6 | 1 | 1 | 0 | 1 | 4 | 3 | ||
| Marquette | 1 | 10 | 2 | 2 | 1.000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | .000 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | ||
| Miami (FL) | 1 | 7 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |||
| Michigan | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
| New Orleans | 1 | 8 | 0 | 2 | .000 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 2 | .000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| NJIT | 4 | 32 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 3 | 4 | 7 | 1 | 0 | 0 | 2 | 6 | 0 | ||
| North Alabama | 3 | 31 | 2 | 4 | .500 | 2 | 3 | .667 | 0 | 1 | .000 | 2 | 2 | 1.000 | 0 | 2 | 2 | 1 | 0 | 0 | 1 | 0 | 8 | |
| NC State | 1 | 15 | 0 | 2 | .000 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 1 | .000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | |
| North Florida | 3 | 24 | 2 | 5 | .400 | 2 | 4 | .500 | 0 | 1 | .000 | 2 | 3 | .667 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 4 | 8 | |
| Northern Arizona | 1 | 14 | 2 | 3 | .667 | 1 | 1 | 1.000 | 1 | 2 | .500 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 5 | ||
| Notre Dame | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||||
| Presbyterian | 3 | 15 | 1 | 2 | .500 | 1 | 2 | .500 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | |||
| South Carolina State | 4 | 36 | 1 | 3 | .333 | 1 | 2 | .500 | 0 | 1 | .000 | 3 | 4 | .750 | 1 | 4 | 5 | 0 | 1 | 0 | 0 | 1 | 6 | |
| USC Upstate | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | |||||
| Stetson | 3 | 13 | 2 | 4 | .500 | 1 | 3 | .333 | 1 | 1 | 1.000 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | ||
| Western Carolina | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | |||||
| Wright State | 1 | 4 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | |||
| Xavier | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | |||||
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| vs. Conf | ACC | 4 | 36 | 0 | 5 | .000 | 0 | 4 | .000 | 0 | 1 | .000 | 0 | 1 | .000 | 1 | 3 | 4 | 2 | 0 | 0 | 1 | 1 | 0 |
| A-Sun | 36 | 332 | 11 | 39 | .282 | 8 | 29 | .276 | 3 | 10 | .300 | 6 | 12 | .500 | 11 | 26 | 37 | 11 | 8 | 1 | 9 | 27 | 36 | |
| Big 12 | 1 | 12 | 1 | 2 | .500 | 1 | 2 | .500 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 3 | |||
| Big East | 2 | 18 | 2 | 2 | 1.000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 1 | .000 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 2 | 6 | ||
| Big Sky | 1 | 14 | 2 | 3 | .667 | 1 | 1 | 1.000 | 1 | 2 | .500 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 5 | ||
| Big South | 4 | 27 | 1 | 3 | .333 | 1 | 2 | .500 | 0 | 1 | .000 | 0 | 0 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 1 | 3 | ||
| Big Ten | 2 | 8 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | |||
| Horizon | 1 | 4 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | |||
| Ivy | 1 | 1 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| MAC | 1 | 2 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| MEAC | 7 | 57 | 2 | 7 | .286 | 2 | 5 | .400 | 0 | 2 | .000 | 3 | 4 | .750 | 4 | 6 | 10 | 3 | 1 | 0 | 1 | 1 | 9 | |
| Southern | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | |||||
| Southland | 1 | 8 | 0 | 2 | .000 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 2 | .000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| Game Result | Loss | 40 | 355 | 14 | 46 | .304 | 11 | 33 | .333 | 3 | 13 | .231 | 2 | 9 | .222 | 11 | 31 | 42 | 8 | 6 | 1 | 9 | 33 | 41 |
| Win | 22 | 171 | 5 | 21 | .238 | 4 | 14 | .286 | 1 | 7 | .143 | 7 | 11 | .636 | 10 | 13 | 23 | 10 | 3 | 1 | 5 | 6 | 21 | |
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| Location | Away | 34 | 299 | 10 | 40 | .250 | 8 | 30 | .267 | 2 | 10 | .200 | 7 | 15 | .467 | 13 | 25 | 38 | 12 | 2 | 2 | 8 | 21 | 35 |
| Home | 26 | 224 | 9 | 25 | .360 | 7 | 17 | .412 | 2 | 8 | .250 | 2 | 5 | .400 | 8 | 18 | 26 | 6 | 7 | 0 | 6 | 18 | 27 | |
| Neutral | 2 | 3 | 0 | 2 | .000 | 0 | 0 | 0 | 2 | .000 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| Game Type | Conf Tourn | 3 | 40 | 1 | 4 | .250 | 0 | 3 | .000 | 1 | 1 | 1.000 | 0 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 0 | 4 | 2 | |
| Reg Seas | 59 | 486 | 18 | 63 | .286 | 15 | 44 | .341 | 3 | 19 | .158 | 9 | 20 | .450 | 21 | 42 | 63 | 16 | 9 | 2 | 14 | 35 | 60 | |
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| Role | Reserve | 62 | 526 | 19 | 67 | .284 | 15 | 47 | .319 | 4 | 20 | .200 | 9 | 20 | .450 | 21 | 44 | 65 | 18 | 9 | 2 | 14 | 39 | 62 |
| Split | Value | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
| Month | November | 6 | 23 | 0 | 3 | .000 | 0 | 0 | 0 | 3 | .000 | 0 | 0 | 1 | 5 | 6 | 0 | 0 | 0 | 2 | 4 | 0 | ||
| December | 20 | 171 | 8 | 25 | .320 | 7 | 18 | .389 | 1 | 7 | .143 | 3 | 8 | .375 | 9 | 13 | 22 | 7 | 1 | 1 | 3 | 8 | 26 | |
| January | 16 | 147 | 3 | 15 | .200 | 3 | 10 | .300 | 0 | 5 | .000 | 4 | 7 | .571 | 6 | 13 | 19 | 3 | 5 | 0 | 5 | 8 | 13 | |
| February | 17 | 143 | 6 | 17 | .353 | 5 | 14 | .357 | 1 | 3 | .333 | 2 | 5 | .400 | 5 | 11 | 16 | 6 | 2 | 1 | 4 | 15 | 19 | |
| March | 3 | 42 | 2 | 7 | .286 | 0 | 5 | .000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 2 | 2 | 2 | 1 | 0 | 0 | 4 | 4 |



We're Social...for Statheads
Site Last Updated: Sunday, April 26, 11:03PM
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.