Rk | Gcar | Gtm | Date | Team | Opp | Type | Result | GS | MP | FG | FGA | 3P | 3PA | 2P | 2PA | FT | FTA | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GmSc | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 2016-11-11 | Youngstown State | American | REG (Non-Conf) | L 64-77 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 1.000 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 4 | 3.6 | ||||||
2 | 2 | 2 | 2016-11-14 | Youngstown State | @ | Pittsburgh | REG (Non-Conf) | L 50-63 | 6 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | .000 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | -1.1 | |||
3 | 3 | 3 | 2016-11-18 | Youngstown State | @ | Hawaii | REG (Non-Conf) | L 50-72 | 6 | 1 | 2 | .500 | 1 | 1 | 1.000 | 0 | 1 | .000 | .750 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0.6 | ||
4 | 4 | 5 | 2016-11-23 | Youngstown State | Tiffin | REG (Non-Conf) | W 84-62 | 7 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | -0.1 | ||||
5 | 5 | 6 | 2016-11-28 | Youngstown State | @ | Northern Arizona | REG (Non-Conf) | L 49-70 | 1 | 0 | 2 | .000 | 0 | 1 | .000 | 0 | 1 | .000 | .000 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | -1.1 | ||
6 | 6 | 9 | 2016-12-10 | Youngstown State | @ | Kent State | REG (Non-Conf) | L 60-75 | 3 | 0 | 1 | .000 | 0 | 0 | 0 | 1 | .000 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -0.7 | |||
7 | 7 | 10 | 2016-12-17 | Youngstown State | Cornell | REG (Non-Conf) | L 75-80 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | |||||||
8 | 8 | 11 | 2016-12-21 | Youngstown State | Point Park | REG (Non-Conf) | W 84-71 | 7 | 1 | 3 | .333 | 0 | 2 | .000 | 1 | 1 | 1.000 | .333 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1.7 | |||
9 | 9 | 12 | 2016-12-31 | Youngstown State | @ | Cleveland State | REG (Conf) | L 68-71 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.7 | ||||||
10 | 10 | 13 | 2017-01-05 | Youngstown State | @ | Wright State | REG (Conf) | L 58-71 | 22 | 3 | 7 | .429 | 2 | 4 | .500 | 1 | 3 | .333 | .571 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 3 | 10 | 9.7 | |
11 | 11 | 14 | 2017-01-07 | Youngstown State | @ | Northern Kentucky | REG (Conf) | L 81-87 (OT) | 24 | 4 | 11 | .364 | 3 | 9 | .333 | 1 | 2 | .500 | .500 | 5 | 5 | 1.000 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 4 | 16 | 9.3 | |
12 | 12 | 15 | 2017-01-12 | Youngstown State | Illinois–Chicago | REG (Conf) | W 70-54 | * | 32 | 7 | 12 | .583 | 5 | 9 | .556 | 2 | 3 | .667 | .792 | 1 | 1 | 1.000 | 2 | 6 | 8 | 2 | 1 | 0 | 2 | 2 | 20 | 17.2 | |
13 | 13 | 16 | 2017-01-14 | Youngstown State | Valparaiso | REG (Conf) | W 76-70 | * | 35 | 6 | 12 | .500 | 5 | 8 | .625 | 1 | 4 | .250 | .708 | 0 | 0 | 0 | 5 | 5 | 4 | 1 | 0 | 1 | 0 | 17 | 15.3 | ||
14 | 14 | 17 | 2017-01-16 | Youngstown State | Cleveland State | REG (Conf) | W 92-67 | * | 33 | 2 | 7 | .286 | 1 | 4 | .250 | 1 | 3 | .333 | .357 | 2 | 2 | 1.000 | 3 | 6 | 9 | 1 | 2 | 0 | 2 | 2 | 7 | 6.7 | |
15 | 15 | 18 | 2017-01-20 | Youngstown State | @ | Detroit Mercy | REG (Conf) | L 63-80 | * | 33 | 1 | 8 | .125 | 1 | 5 | .200 | 0 | 3 | .000 | .188 | 2 | 2 | 1.000 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 5 | -0.7 |
16 | 16 | 19 | 2017-01-22 | Youngstown State | @ | Oakland | REG (Conf) | L 54-80 | 13 | 0 | 2 | .000 | 0 | 2 | .000 | 0 | 0 | .000 | 3 | 4 | .750 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 3 | 0.7 | ||
17 | 17 | 20 | 2017-01-26 | Youngstown State | Green Bay | REG (Conf) | L 51-84 | 14 | 2 | 4 | .500 | 2 | 3 | .667 | 0 | 1 | .000 | .750 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 3 | 6 | 4.4 | |||
18 | 18 | 21 | 2017-01-28 | Youngstown State | Milwaukee | REG (Conf) | L 74-78 | 17 | 1 | 6 | .167 | 1 | 3 | .333 | 0 | 3 | .000 | .250 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 2 | 3 | -1.0 | |||
19 | 19 | 22 | 2017-02-02 | Youngstown State | @ | Valparaiso | REG (Conf) | L 60-77 | * | 26 | 2 | 6 | .333 | 1 | 5 | .200 | 1 | 1 | 1.000 | .417 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 5 | 0.5 | |
20 | 20 | 23 | 2017-02-04 | Youngstown State | @ | Illinois–Chicago | REG (Conf) | W 65-59 (OT) | * | 10 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | .000 | 0 | 0 | 0 | 3 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | -0.5 | ||
21 | 21 | 24 | 2017-02-09 | Youngstown State | @ | Milwaukee | REG (Conf) | L 82-86 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | ||||||
22 | 22 | 25 | 2017-02-11 | Youngstown State | @ | Green Bay | REG (Conf) | L 41-75 | 15 | 2 | 6 | .333 | 1 | 5 | .200 | 1 | 1 | 1.000 | .417 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 1 | 5 | 0.2 | ||
23 | 23 | 26 | 2017-02-16 | Youngstown State | Northern Kentucky | REG (Conf) | W 77-73 (OT) | 5 | 0 | 2 | .000 | 0 | 2 | .000 | 0 | 0 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | -1.8 | ||||
24 | 24 | 27 | 2017-02-18 | Youngstown State | Wright State | REG (Conf) | L 64-68 | 4 | 0 | 1 | .000 | 0 | 1 | .000 | 0 | 0 | .000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | -1.1 | ||||
25 | 25 | 28 | 2017-02-23 | Youngstown State | Oakland | REG (Conf) | L 58-80 | 13 | 1 | 6 | .167 | 0 | 2 | .000 | 1 | 4 | .250 | .167 | 0 | 0 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 2 | 2 | -1.0 | |||
26 | 26 | 29 | 2017-02-25 | Youngstown State | Detroit Mercy | REG (Conf) | L 67-83 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | |||||||
Rk | Gcar | Gtm | Date | Team | Opp | Type | Result | GS | MP | FG | FGA | 3P | 3PA | 2P | 2PA | FT | FTA | ORB | DRB | TRB | AST | STL | BLK | TOV | PF | PTS | GmSc | ||||||
27 | 27 | 30 | 2017-03-03 | Youngstown State | Valparaiso | CTOURN | L 62-79 | 8 | 1 | 3 | .333 | 0 | 1 | .000 | 1 | 2 | .500 | .333 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 2 | 1.5 | |||
7-20 | 6 | 351 | 34 | 104 | .327 | 23 | 70 | .329 | 11 | 34 | .324 | .438 | 19 | 20 | .950 | 11 | 47 | 58 | 11 | 9 | 1 | 15 | 29 | 110 | 2.3 |
We're Social...for Statheads
Every Sports Reference Social Media Account
Site Last Updated: Wednesday, March 19, 6:10AM
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.