Team and Opponent Stats Table Team | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
Team | 34 | 6806 | 925 | 2033 | .455 | 318 | 889 | .358 | 607 | 1144 | .531 | 499 | 646 | .772 | 273 | 820 | 1093 | 613 | 192 | 66 | 459 | 709 | 2667 |
Opp | 34 | 6806 | 985 | 2119 | .465 | 258 | 735 | .351 | 727 | 1384 | .525 | 529 | 721 | .734 | 369 | 869 | 1238 | 642 | 226 | 62 | 423 | 721 | 2757 |
Per Game Table Player | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
Alexandre Chassang | 33 | 21.3 | 3.0 | 6.1 | .498 | 0.7 | 1.7 | .393 | 2.4 | 4.4 | .538 | 1.2 | 1.5 | .837 | 1.7 | 3.8 | 5.5 | 2.0 | 0.7 | 0.4 | 1.5 | 3.1 | 8.0 |
Danilo Nikolic | 30 | 26.3 | 4.2 | 9.1 | .460 | 1.9 | 4.9 | .392 | 2.3 | 4.2 | .540 | 1.6 | 2.0 | .817 | 0.7 | 4.4 | 5.1 | 1.4 | 0.6 | 0.2 | 1.5 | 2.2 | 12.0 |
Gaspard Gessat | 3 | 5.3 | 0.0 | 0.7 | .000 | 0.0 | 0.7 | .000 | 0.0 | 0.0 | | 0.0 | 0.3 | .000 | 0.0 | 1.3 | 1.3 | 0.7 | 0.3 | 0.0 | 0.0 | 0.3 | 0.0 |
Ike Udanoh | 17 | 20.4 | 2.7 | 4.4 | .613 | 0.0 | 0.2 | .000 | 2.7 | 4.2 | .639 | 1.6 | 2.5 | .643 | 1.8 | 2.8 | 4.6 | 1.7 | 0.9 | 0.1 | 1.5 | 2.4 | 7.0 |
Kameron McGusty | 34 | 21.7 | 3.6 | 7.9 | .459 | 0.8 | 2.5 | .321 | 2.8 | 5.4 | .522 | 1.6 | 1.9 | .803 | 0.2 | 1.9 | 2.0 | 1.0 | 0.6 | 0.1 | 1.1 | 1.8 | 9.6 |
Kenny Goins | 22 | 13.9 | 1.5 | 3.1 | .485 | 0.4 | 1.3 | .276 | 1.1 | 1.8 | .641 | 0.3 | 0.4 | .750 | 0.7 | 2.1 | 2.8 | 0.5 | 0.1 | 0.1 | 0.5 | 2.6 | 3.6 |
Lucas Beaufort | 34 | 25.1 | 2.3 | 5.3 | .428 | 0.4 | 1.6 | .259 | 1.9 | 3.7 | .500 | 0.7 | 1.0 | .714 | 0.8 | 2.2 | 3.0 | 3.0 | 1.2 | 0.2 | 1.1 | 2.7 | 5.7 |
Lucas Ugolin | 30 | 11.1 | 1.5 | 3.3 | .440 | 0.9 | 2.4 | .380 | 0.6 | 1.0 | .586 | 0.5 | 0.7 | .667 | 0.5 | 0.9 | 1.4 | 0.2 | 0.3 | 0.1 | 0.6 | 1.5 | 4.3 |
Martin Carrere | 2 | 1.5 | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Mathieu Wojciechowski | 7 | 10.0 | 0.7 | 2.3 | .313 | 0.3 | 1.0 | .286 | 0.4 | 1.3 | .333 | 0.1 | 0.1 | 1.000 | 0.4 | 0.4 | 0.9 | 1.3 | 0.1 | 0.3 | 0.4 | 2.0 | 1.9 |
Nemanja Nenadic | 30 | 19.8 | 2.4 | 6.1 | .399 | 0.7 | 2.3 | .290 | 1.8 | 3.8 | .465 | 2.5 | 3.5 | .724 | 0.7 | 1.9 | 2.6 | 2.2 | 0.3 | 0.1 | 1.8 | 1.8 | 8.1 |
Nicolas Lang | 31 | 28.5 | 4.7 | 9.2 | .516 | 2.4 | 5.6 | .434 | 2.3 | 3.6 | .643 | 2.4 | 2.6 | .890 | 0.5 | 2.4 | 2.9 | 2.5 | 0.4 | 0.1 | 1.4 | 1.9 | 14.3 |
Sahel Mouhri | 4 | 2.3 | 0.3 | 0.5 | .500 | 0.0 | 0.0 | | 0.3 | 0.5 | .500 | 1.8 | 2.5 | .700 | 0.0 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 2.3 |
Simisola Shittu | 14 | 15.8 | 2.6 | 5.7 | .450 | 0.1 | 0.2 | .333 | 2.5 | 5.5 | .455 | 1.4 | 2.4 | .588 | 1.5 | 3.2 | 4.7 | 0.5 | 0.4 | 1.2 | 1.0 | 2.9 | 6.6 |
Tyree Appleby | 34 | 27.2 | 3.4 | 8.8 | .381 | 1.9 | 5.6 | .337 | 1.5 | 3.2 | .459 | 3.1 | 3.8 | .815 | 0.2 | 1.9 | 2.1 | 4.6 | 0.9 | 0.2 | 2.5 | 2.5 | 11.7 |
Yannick Nkombou | 4 | 4.0 | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 0.0 | 1.0 | 1.0 | 0.0 |
Per 36 Minutes Table Player | G | MP | FG | FGA | FG% | 3P | 3PA | 3P% | 2P | 2PA | 2P% | FT | FTA | FT% | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS |
Alexandre Chassang | 33 | 702 | 5.1 | 10.3 | .498 | 1.1 | 2.9 | .393 | 4.0 | 7.4 | .538 | 2.1 | 2.5 | .837 | 2.9 | 6.4 | 9.3 | 3.4 | 1.2 | 0.6 | 2.6 | 5.2 | 13.5 |
Danilo Nikolic | 30 | 788 | 5.8 | 12.5 | .460 | 2.6 | 6.8 | .392 | 3.1 | 5.8 | .540 | 2.2 | 2.7 | .817 | 0.9 | 6.1 | 7.0 | 1.9 | 0.8 | 0.3 | 2.0 | 3.0 | 16.4 |
Gaspard Gessat | 3 | 16 | 0.0 | 4.5 | .000 | 0.0 | 4.5 | .000 | 0.0 | 0.0 | | 0.0 | 2.3 | .000 | 0.0 | 9.0 | 9.0 | 4.5 | 2.3 | 0.0 | 0.0 | 2.3 | 0.0 |
Ike Udanoh | 17 | 347 | 4.8 | 7.8 | .613 | 0.0 | 0.3 | .000 | 4.8 | 7.5 | .639 | 2.8 | 4.4 | .643 | 3.2 | 4.9 | 8.1 | 3.0 | 1.6 | 0.1 | 2.6 | 4.3 | 12.3 |
Kameron McGusty | 34 | 739 | 6.0 | 13.1 | .459 | 1.3 | 4.1 | .321 | 4.7 | 9.0 | .522 | 2.6 | 3.2 | .803 | 0.3 | 3.1 | 3.4 | 1.7 | 1.1 | 0.2 | 1.9 | 2.9 | 15.9 |
Kenny Goins | 22 | 305 | 3.9 | 8.0 | .485 | 0.9 | 3.4 | .276 | 3.0 | 4.6 | .641 | 0.7 | 0.9 | .750 | 1.8 | 5.4 | 7.2 | 1.3 | 0.4 | 0.2 | 1.2 | 6.7 | 9.4 |
Lucas Beaufort | 34 | 852 | 3.3 | 7.6 | .428 | 0.6 | 2.3 | .259 | 2.7 | 5.3 | .500 | 1.1 | 1.5 | .714 | 1.1 | 3.2 | 4.3 | 4.3 | 1.8 | 0.3 | 1.6 | 3.8 | 8.2 |
Lucas Ugolin | 30 | 334 | 4.7 | 10.8 | .440 | 2.9 | 7.7 | .380 | 1.8 | 3.1 | .586 | 1.5 | 2.3 | .667 | 1.5 | 3.0 | 4.5 | 0.6 | 1.0 | 0.2 | 2.0 | 4.7 | 13.9 |
Martin Carrere | 2 | 3 | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Mathieu Wojciechowski | 7 | 70 | 2.6 | 8.2 | .313 | 1.0 | 3.6 | .286 | 1.5 | 4.6 | .333 | 0.5 | 0.5 | 1.000 | 1.5 | 1.5 | 3.1 | 4.6 | 0.5 | 1.0 | 1.5 | 7.2 | 6.7 |
Nemanja Nenadic | 30 | 594 | 4.4 | 11.1 | .399 | 1.2 | 4.2 | .290 | 3.2 | 6.9 | .465 | 4.6 | 6.4 | .724 | 1.3 | 3.4 | 4.7 | 4.1 | 0.5 | 0.2 | 3.3 | 3.3 | 14.7 |
Nicolas Lang | 31 | 885 | 6.0 | 11.6 | .516 | 3.1 | 7.0 | .434 | 2.9 | 4.6 | .643 | 3.0 | 3.3 | .890 | 0.6 | 3.1 | 3.6 | 3.2 | 0.5 | 0.1 | 1.7 | 2.4 | 18.0 |
Sahel Mouhri | 4 | 9 | 4.0 | 8.0 | .500 | 0.0 | 0.0 | | 4.0 | 8.0 | .500 | 28.0 | 40.0 | .700 | 0.0 | 4.0 | 4.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | 36.0 |
Simisola Shittu | 14 | 221 | 5.9 | 13.0 | .450 | 0.2 | 0.5 | .333 | 5.7 | 12.5 | .455 | 3.3 | 5.5 | .588 | 3.4 | 7.3 | 10.8 | 1.1 | 1.0 | 2.8 | 2.3 | 6.5 | 15.1 |
Tyree Appleby | 34 | 925 | 4.4 | 11.6 | .381 | 2.5 | 7.4 | .337 | 1.9 | 4.2 | .459 | 4.1 | 5.1 | .815 | 0.3 | 2.5 | 2.8 | 6.1 | 1.2 | 0.2 | 3.3 | 3.3 | 15.5 |
Yannick Nkombou | 4 | 16 | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | | 0.0 | 0.0 | 0.0 | 2.3 | 2.3 | 0.0 | 9.0 | 9.0 | 0.0 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Thursday, December 12, 7:21AM
Question, Comment, Feedback, or Correction?
Subscribe to our Free Email Newsletter
Subscribe to Stathead Basketball: Get your first month FREE
Your All-Access Ticket to the Basketball Reference Database
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.