Ty Outlaw
New here?How to read this page
▶
How to read this page
Team tables split by side of the ball, and the Side control hides the half you are not reading. The roster is everyone who played that season, so a transfer appears under the program he actually played for rather than the one he is at now. There is no game-type control because the tables hold regular-season games only. A dash means no number for that cell, or a zero in a roster column that counts.
Ty Outlaw
G2018-19
Did you knowTy Outlaw is 31st of 1197 players in three-point percentage, at 45.4%.
94th beats 94% of the Players; 1 is the best of however many the row says. Higher is always better, whichever way the stat runs. Red to green by where the placing sits. A stat with no better end is left unpainted.
Cardsall 10 shown▶
Playing Time▶
ScoringOffense▶
ShootingOffense▶
Shot ProfileOffense▶
Shot LocationsOffense▶
PlaymakingOffense▶
Rebounding▶
ReboundingOffense▶
ReboundingDefense▶
DefenseDefense▶
Impact▶
ImpactOffense▶
ImpactDefense▶
On Off▶
Game log35 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 29, 2019 | @ DUKE#5 | 30 | 5 | 2 | 7 | 1 | 3 | 0-0 | 0 | 0 | 0 | 0 | 1 | 3 |
| March 24, 2019 |  LIB | 39 | 10 | 3 | 9 | 2 | 6 | 2-2 | 11 | 0 | 1 | 0 | 1 | 3 |
| March 22, 2019 |  SLU | 27 | 7 | 2 | 3 | 1 | 2 | 2-2 | 7 | 1 | 0 | 0 | 0 | 3 |
| March 14, 2019 | @ FSU#15 | 38 | 0 | 0 | 2 | 0 | 2 | 0-0 | 5 | 1 | 3 | 0 | 0 | 2 |
| March 13, 2019 |  MIA | 34 | 14 | 5 | 9 | 4 | 8 | 0-0 | 8 | 0 | 1 | 0 | 0 | 4 |
| March 8, 2019 | MIA | 31 | 19 | 5 | 10 | 5 | 9 | 4-5 | 4 | 2 | 0 | 0 | 0 | 3 |
| March 5, 2019 | @FSU#15 | 44 | 10 | 3 | 7 | 3 | 7 | 1-3 | 6 | 0 | 0 | 0 | 0 | 2 |
| Feb 26, 2019 | DUKE#5 | 28 | 11 | 4 | 8 | 3 | 7 | 0-0 | 2 | 1 | 0 | 0 | 0 | 4 |
| Feb 23, 2019 | @ ND | 31 | 9 | 2 | 6 | 1 | 4 | 4-6 | 6 | 0 | 0 | 0 | 2 | 4 |
| Feb 18, 2019 |  UVA#2 | 40 | 3 | 1 | 7 | 1 | 6 | 0-0 | 5 | 0 | 0 | 1 | 1 | 3 |
| Feb 16, 2019 | @ PITT | 37 | 7 | 3 | 6 | 1 | 3 | 0-0 | 9 | 0 | 1 | 0 | 1 | 2 |
| Feb 13, 2019 |  GT | 38 | 20 | 6 | 12 | 6 | 12 | 2-3 | 3 | 1 | 1 | 3 | 0 | 1 |
| Feb 9, 2019 | @ CLEM | 38 | 10 | 3 | 5 | 2 | 4 | 2-2 | 8 | 3 | 1 | 0 | 2 | 2 |
| Feb 4, 2019 |  LOU#20 | 31 | 12 | 4 | 7 | 4 | 7 | 0-0 | 7 | 0 | 0 | 1 | 1 | 1 |
| Feb 2, 2019 | @ NCSU | 26 | 0 | 0 | 3 | 0 | 3 | 0-1 | 6 | 0 | 0 | 0 | 1 | 3 |
| Jan 30, 2019 | @MIA | 32 | 11 | 3 | 5 | 3 | 4 | 2-2 | 3 | 0 | 1 | 0 | 0 | 4 |
| Jan 26, 2019 |  SYR | 32 | 9 | 3 | 5 | 3 | 5 | 0-0 | 7 | 2 | 0 | 2 | 0 | 3 |
| Jan 21, 2019 | @ UNC#7 | 30 | 3 | 1 | 6 | 1 | 6 | 0-0 | 3 | 3 | 0 | 0 | 1 | 3 |
| Jan 19, 2019 |  WAKE | 24 | 14 | 4 | 6 | 4 | 5 | 2-2 | 3 | 1 | 2 | 0 | 0 | 3 |
| Jan 15, 2019 | @UVA#2 | 25 | 7 | 2 | 5 | 1 | 4 | 2-2 | 3 | 0 | 1 | 0 | 0 | 0 |
| Jan 9, 2019 | @GT | 30 | 2 | 1 | 6 | 0 | 3 | 0-0 | 4 | 0 | 0 | 1 | 0 | 0 |
| Jan 5, 2019 |  BC | 18 | 6 | 2 | 6 | 2 | 6 | 0-0 | 1 | 2 | 0 | 0 | 1 | 1 |
| Jan 1, 2019 | ND | 28 | 14 | 5 | 9 | 4 | 7 | 0-0 | 5 | 0 | 0 | 0 | 0 | 1 |
| Dec 28, 2018 |  UMES | 28 | 6 | 2 | 5 | 2 | 4 | 0-0 | 5 | 2 | 0 | 0 | 0 | 1 |
| Dec 19, 2018 |  NCAT | 21 | 3 | 1 | 5 | 1 | 2 | 0-0 | 5 | 0 | 0 | 0 | 0 | 1 |
| Dec 15, 2018 | @ WASH | 31 | 8 | 3 | 3 | 2 | 2 | 0-0 | 6 | 3 | 2 | 0 | 0 | 3 |
| Dec 9, 2018 |  SCST | 30 | 9 | 3 | 6 | 3 | 5 | 0-0 | 6 | 1 | 1 | 1 | 0 | 1 |
| Dec 5, 2018 |  VMI | 30 | 9 | 3 | 8 | 3 | 6 | 0-0 | 11 | 1 | 0 | 0 | 0 | 3 |
| Dec 1, 2018 |  CCSU | 23 | 15 | 5 | 8 | 3 | 5 | 2-4 | 6 | 1 | 1 | 1 | 0 | 5 |
| Nov 27, 2018 | @ PSU | 32 | 16 | 6 | 9 | 4 | 5 | 0-0 | 4 | 1 | 0 | 1 | 2 | 3 |
| Nov 24, 2018 |  SFPA | 24 | 15 | 5 | 9 | 5 | 9 | 0-0 | 7 | 1 | 1 | 1 | 2 | 1 |
| Nov 18, 2018 | @ PUR#9 | 21 | 3 | 1 | 3 | 1 | 3 | 0-0 | 2 | 0 | 0 | 0 | 0 | 1 |
| Nov 16, 2018 | @ NE | 22 | 6 | 2 | 5 | 2 | 5 | 0-0 | 7 | 2 | 0 | 0 | 2 | 3 |
| Nov 15, 2018 |  BALL | 16 | 2 | 1 | 3 | 0 | 2 | 0-0 | 2 | 1 | 0 | 2 | 1 | 1 |
| Nov 9, 2018 |  GWEB | 23 | 5 | 2 | 5 | 1 | 3 | 0-2 | 6 | 1 | 1 | 0 | 1 | 4 |
About College Basketball Research
▶
Every number the site holds for a Division I team and the players who played for it, in one place. Pick a team and a season and read it. Nothing here needs an account.
Where the numbers come from
The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.