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 | 25 | 478 | 41 | 120 | .342 | 19 | 54 | .352 | 22 | 66 | .333 | 27 | 38 | .711 | 10 | 48 | 38 | 22 | 21 | 9 | 53 | 37 | 128 | |
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 | 5 | 135 | 18 | 44 | .409 | 9 | 20 | .450 | 9 | 24 | .375 | 9 | 16 | .562 | 4 | 9 | 5 | 5 | 8 | 5 | 14 | 15 | 54 |
December | 3 | 77 | 7 | 21 | .333 | 3 | 11 | .273 | 4 | 10 | .400 | 8 | 10 | .800 | 1 | 9 | 8 | 7 | 5 | 1 | 8 | 4 | 25 | |
January | 9 | 187 | 12 | 44 | .273 | 6 | 21 | .286 | 6 | 23 | .261 | 8 | 10 | .800 | 5 | 26 | 21 | 7 | 7 | 2 | 24 | 14 | 38 | |
February | 6 | 59 | 2 | 8 | .250 | 0 | 1 | .000 | 2 | 7 | .286 | 2 | 2 | 1.000 | 0 | 3 | 3 | 3 | 1 | 0 | 6 | 3 | 6 | |
March | 2 | 20 | 2 | 3 | .667 | 1 | 1 | 1.000 | 1 | 2 | .500 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 5 | ||
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 | Appalachian State | 2 | 37 | 3 | 8 | .375 | 2 | 4 | .500 | 1 | 4 | .250 | 4 | 4 | 1.000 | 0 | 8 | 8 | 0 | 1 | 0 | 8 | 1 | 12 |
Bucknell | 1 | 28 | 4 | 11 | .364 | 1 | 5 | .200 | 3 | 6 | .500 | 4 | 4 | 1.000 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 | 13 | |
Campbell | 1 | 37 | 4 | 9 | .444 | 2 | 4 | .500 | 2 | 5 | .400 | 1 | 4 | .250 | 1 | 2 | 1 | 2 | 2 | 1 | 4 | 3 | 11 | |
Chattanooga | 2 | 36 | 4 | 13 | .308 | 2 | 6 | .333 | 2 | 7 | .286 | 2 | 2 | 1.000 | 0 | 4 | 4 | 2 | 1 | 1 | 4 | 4 | 12 | |
College of Charleston | 2 | 44 | 2 | 8 | .250 | 0 | 3 | .000 | 2 | 5 | .400 | 2 | 4 | .500 | 3 | 4 | 1 | 3 | 2 | 0 | 2 | 3 | 6 | |
Davidson | 2 | 29 | 0 | 3 | .000 | 0 | 1 | .000 | 0 | 2 | .000 | 0 | 0 | 1 | 8 | 7 | 2 | 3 | 0 | 2 | 0 | 0 | ||
Elon | 2 | 22 | 1 | 5 | .200 | 0 | 1 | .000 | 1 | 4 | .250 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 4 | 5 | 2 | ||
Furman | 2 | 34 | 4 | 6 | .667 | 2 | 2 | 1.000 | 2 | 4 | .500 | 0 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 5 | 0 | 10 | ||
Gardner-Webb | 1 | 25 | 3 | 10 | .300 | 2 | 3 | .667 | 1 | 7 | .143 | 6 | 8 | .750 | 3 | 4 | 1 | 1 | 2 | 1 | 2 | 4 | 14 | |
Georgia Southern | 2 | 44 | 4 | 10 | .400 | 2 | 5 | .400 | 2 | 5 | .400 | 4 | 6 | .667 | 1 | 6 | 5 | 4 | 2 | 0 | 5 | 3 | 14 | |
Norfolk State | 1 | 13 | 2 | 6 | .333 | 1 | 4 | .250 | 1 | 2 | .500 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 4 | 4 | 5 | ||
UNC Greensboro | 3 | 39 | 1 | 8 | .125 | 1 | 4 | .250 | 0 | 4 | .000 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 1 | 7 | 1 | 3 | ||
UNC Wilmington | 1 | 32 | 5 | 10 | .500 | 2 | 5 | .400 | 3 | 5 | .600 | 1 | 2 | .500 | 0 | 1 | 1 | 1 | 2 | 1 | 2 | 4 | 13 | |
Samford | 1 | 25 | 0 | 4 | .000 | 0 | 3 | .000 | 0 | 1 | .000 | 2 | 2 | 1.000 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 2 | |
Virginia Tech | 1 | 28 | 4 | 9 | .444 | 2 | 4 | .500 | 2 | 5 | .400 | 1 | 2 | .500 | 0 | 2 | 2 | 1 | 0 | 1 | 2 | 0 | 11 | |
Western Carolina | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |||||
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 | 20 | 2 | 3 | .667 | 1 | 1 | 1.000 | 1 | 2 | .500 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 5 | |
Reg Seas | 23 | 458 | 39 | 117 | .333 | 18 | 53 | .340 | 21 | 64 | .328 | 27 | 38 | .711 | 10 | 47 | 37 | 22 | 21 | 8 | 52 | 36 | 123 | |
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 | 13 | 177 | 12 | 39 | .308 | 5 | 12 | .417 | 7 | 27 | .259 | 9 | 12 | .750 | 5 | 20 | 15 | 7 | 5 | 3 | 16 | 10 | 38 |
Starter | 12 | 301 | 29 | 81 | .358 | 14 | 42 | .333 | 15 | 39 | .385 | 18 | 26 | .692 | 5 | 28 | 23 | 15 | 16 | 6 | 37 | 27 | 90 | |
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 | 20 | 347 | 27 | 87 | .310 | 13 | 38 | .342 | 14 | 49 | .286 | 16 | 20 | .800 | 5 | 34 | 29 | 12 | 12 | 6 | 44 | 30 | 83 |
Win | 5 | 131 | 14 | 33 | .424 | 6 | 16 | .375 | 8 | 17 | .471 | 11 | 18 | .611 | 5 | 14 | 9 | 10 | 9 | 3 | 9 | 7 | 45 | |
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 | 13 | 208 | 16 | 51 | .314 | 8 | 24 | .333 | 8 | 27 | .296 | 7 | 8 | .875 | 1 | 16 | 15 | 6 | 5 | 4 | 29 | 15 | 47 |
Home | 12 | 270 | 25 | 69 | .362 | 11 | 30 | .367 | 14 | 39 | .359 | 20 | 30 | .667 | 9 | 32 | 23 | 16 | 16 | 5 | 24 | 22 | 81 | |
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 | ACC | 1 | 28 | 4 | 9 | .444 | 2 | 4 | .500 | 2 | 5 | .400 | 1 | 2 | .500 | 0 | 2 | 2 | 1 | 0 | 1 | 2 | 0 | 11 |
A-Sun | 1 | 37 | 4 | 9 | .444 | 2 | 4 | .500 | 2 | 5 | .400 | 1 | 4 | .250 | 1 | 2 | 1 | 2 | 2 | 1 | 4 | 3 | 11 | |
Big South | 1 | 25 | 3 | 10 | .300 | 2 | 3 | .667 | 1 | 7 | .143 | 6 | 8 | .750 | 3 | 4 | 1 | 1 | 2 | 1 | 2 | 4 | 14 | |
CAA | 1 | 32 | 5 | 10 | .500 | 2 | 5 | .400 | 3 | 5 | .600 | 1 | 2 | .500 | 0 | 1 | 1 | 1 | 2 | 1 | 2 | 4 | 13 | |
MEAC | 1 | 13 | 2 | 6 | .333 | 1 | 4 | .250 | 1 | 2 | .500 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 4 | 4 | 5 | ||
Patriot | 1 | 28 | 4 | 11 | .364 | 1 | 5 | .200 | 3 | 6 | .500 | 4 | 4 | 1.000 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 | 13 | |
Southern | 19 | 315 | 19 | 65 | .292 | 9 | 29 | .310 | 10 | 36 | .278 | 14 | 18 | .778 | 5 | 36 | 31 | 14 | 10 | 3 | 39 | 20 | 61 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Sunday, February 23, 6:17AM
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.