NBA
#67
Taj Gibson
PPG RPG APG
- - -
Team: New YorkHeight: 6-9 Born: 6/24/1985
Position: F-CWeight: 235 Birthplace: Brooklyn, New York
College: USCDraft: 1st Round 26th pick by Bulls (2009)


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Player Splits

2019-20 Regular Season Total
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
Total 62 16.5 2.7-4.6 .584 0.1-0.2 .286 0.7-0.9 .732 0.44 0.48 0.76 2.0 1.8 2.5 4.3 0.8 6.1

Home/Away
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
Home 31 16.7 2.7-4.5 .593 0.0-0.2 .000 1.0-1.3 .750 0.42 0.45 0.65 1.8 2.1 2.1 4.3 0.8 6.3
Road 31 16.3 2.7-4.7 .575 0.1-0.3 .444 0.4-0.5 .688 0.45 0.52 0.87 2.1 1.5 2.9 4.4 0.8 5.9

Month
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
Pre All-Star 52 16.5 2.6-4.5 .572 0.1-0.2 .273 0.5-0.8 .700 0.44 0.44 0.77 2.1 1.8 2.5 4.3 0.9 5.8
Post All-Star 10 16.9 3.2-5.0 .640 0.1-0.3 .333 1.3-1.6 .813 0.40 0.70 0.70 1.5 1.8 2.5 4.3 0.5 7.8
November 12 18.4 3.2-5.3 .594 0.1-0.2 .500 0.6-0.9 .636 0.67 0.08 0.67 3.0 2.6 2.8 5.3 1.3 7.0
December 13 16.2 1.4-3.8 .367 0.1-0.4 .200 0.0-0.3 .000 0.69 0.77 0.92 1.8 1.5 2.9 4.4 1.2 2.8
January 16 17.4 3.1-4.6 .662 0.1-0.1 1.000 1.1-1.2 .895 0.31 0.50 0.75 2.0 1.8 2.4 4.2 0.6 7.3
February 10 16.3 4.2-5.8 .724 0.0-0.1 .000 1.1-1.6 .688 0.10 0.40 0.60 1.5 2.0 2.5 4.5 0.5 9.5
March 6 17.3 2.7-4.7 .571 0.2-0.3 .500 0.7-0.7 1.000 0.50 1.00 0.83 1.7 1.5 2.5 4.0 0.5 6.2

Outcome
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
In wins 21 18.1 3.1-5.0 .625 0.0-0.2 .250 1.1-1.4 .767 0.29 0.76 0.62 2.2 2.1 3.0 5.1 1.0 7.3
In losses 41 15.7 2.5-4.4 .560 0.1-0.2 .300 0.4-0.6 .692 0.51 0.34 0.83 1.9 1.6 2.3 3.9 0.8 5.5

In Div/Conf
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
vs. Div. 11 16.0 2.4-4.8 .491 0.1-0.2 .500 0.5-0.7 .750 0.73 0.27 0.55 1.5 1.9 2.2 4.1 0.8 5.4
vs. Conf. 40 16.7 2.9-4.8 .591 0.1-0.3 .364 0.8-1.1 .714 0.50 0.50 0.63 1.8 1.8 2.5 4.3 0.9 6.6

Position
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
As Start C 55 17.1 2.8-4.8 .593 0.1-0.2 .364 0.7-1.0 .722 0.47 0.51 0.78 2.1 1.9 2.6 4.5 0.8 6.5
As Start F 1 13.0 4.0-6.0 .667 0.0-0.0 - 0.0-0.0 - 0.00 1.00 0.00 0.0 2.0 1.0 3.0 1.0 8.0
As Starter 56 17.0 2.9-4.8 .595 0.1-0.2 .364 0.7-1.0 .722 0.46 0.52 0.77 2.0 1.9 2.6 4.5 0.8 6.5
Off Bench 6 11.8 1.2-2.8 .412 0.0-0.5 .000 0.3-0.3 1.000 0.17 0.17 0.67 1.3 0.5 1.8 2.3 1.2 2.7

Day
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
Monday 7 16.1 2.7-5.4 .500 0.1-0.6 .250 1.0-1.4 .700 0.00 0.71 0.43 1.1 2.7 3.3 6.0 0.9 6.6
Tuesday 7 17.9 2.4-4.1 .586 0.1-0.3 .500 0.4-0.4 1.000 0.86 0.43 0.71 3.0 1.4 2.3 3.7 1.3 5.4
Wednesday 14 14.2 2.4-4.0 .589 0.1-0.3 .500 0.0-0.0 - 0.14 0.57 0.71 1.6 0.6 2.1 2.7 0.8 4.9
Thursday 5 17.6 3.0-5.2 .577 0.0-0.2 .000 0.4-0.6 .667 0.00 0.40 0.80 2.4 1.2 2.4 3.6 1.0 6.4
Friday 10 17.5 2.8-4.7 .596 0.0-0.0 - 0.7-1.2 .583 0.60 0.60 0.80 1.9 2.4 3.0 5.4 0.7 6.3
Saturday 10 14.6 2.7-4.2 .643 0.0-0.3 .000 1.4-1.8 .778 0.30 0.20 0.80 1.9 2.3 2.0 4.3 0.8 6.8
Sunday 9 20.0 3.1-5.3 .583 0.0-0.0 - 0.9-1.1 .800 1.11 0.44 1.00 2.2 2.2 2.9 5.1 0.7 7.1

By Days Rest
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
0 Days Rest 9 14.1 1.9-4.1 .459 0.2-0.7 .333 0.2-0.8 .286 0.33 0.78 0.67 1.4 1.2 2.6 3.8 0.7 4.2
1 Days Rest 38 17.4 3.0-4.9 .615 0.1-0.1 .500 0.8-0.9 .829 0.53 0.50 0.84 2.2 2.0 2.5 4.5 0.8 6.9
2 Days Rest 10 16.1 2.7-4.4 .614 0.0-0.3 .000 0.8-1.0 .800 0.40 0.30 0.60 1.6 2.1 2.7 4.8 0.9 6.2
3+ Days Rest 5 14.8 1.6-3.6 .444 0.0-0.2 .000 0.4-0.8 .500 0.00 0.20 0.60 1.8 0.6 2.4 3.0 1.2 3.6

By Opponent
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
vs. Atl 3 18.0 2.3-3.7 .636 0.3-0.7 .500 0.0-0.0 - 0.67 1.33 0.67 2.0 1.0 2.3 3.3 1.7 5.0
vs. Bos 2 12.5 1.0-3.5 .286 0.0-0.5 .000 1.0-1.0 1.000 2.00 0.00 0.00 0.5 1.0 0.5 1.5 0.0 3.0
vs. NO 1 26.0 8.0-8.0 1.000 0.0-0.0 - 3.0-4.0 .750 0.00 1.00 1.00 1.0 4.0 4.0 8.0 0.0 19.0
vs. Chi 3 17.0 4.3-5.7 .765 0.0-0.7 .000 2.7-3.0 .889 1.00 0.00 0.33 2.0 2.0 2.7 4.7 1.7 11.3
vs. Cle 4 16.8 3.0-5.8 .522 0.0-0.0 - 1.3-1.5 .833 0.50 0.50 0.75 1.8 3.3 2.0 5.3 1.0 7.3
vs. Dal 2 21.5 3.5-5.0 .700 0.0-0.0 - 1.0-2.0 .500 0.50 0.00 1.00 4.5 3.0 4.0 7.0 1.5 8.0
vs. Den 2 17.0 2.5-4.5 .556 0.0-0.5 .000 0.0-0.0 - 0.50 1.00 0.50 1.5 0.5 2.0 2.5 1.0 5.0
vs. Det 3 17.0 3.0-4.3 .692 0.0-0.0 - 0.3-0.7 .500 0.00 0.00 0.67 3.0 1.3 2.3 3.7 1.3 6.3
vs. GS 1 14.0 0.0-1.0 .000 0.0-0.0 - 0.0-0.0 - 0.00 1.00 0.00 0.0 0.0 4.0 4.0 1.0 0.0
vs. Hou 2 18.0 3.0-6.0 .500 0.0-0.0 - 1.0-1.0 1.000 0.00 0.50 0.50 1.5 3.5 4.0 7.5 1.0 7.0
vs. Ind 3 15.7 3.0-4.0 .750 0.0-0.0 - 0.7-1.3 .500 0.33 0.33 0.00 1.3 1.0 3.7 4.7 1.3 6.7
vs. LAC 1 19.0 4.0-6.0 .667 0.0-0.0 - 3.0-3.0 1.000 1.00 0.00 2.00 4.0 1.0 4.0 5.0 1.0 11.0
vs. LAL 2 19.0 4.5-6.5 .692 0.0-0.0 - 0.0-0.0 - 0.50 0.50 0.50 2.5 2.5 4.0 6.5 0.5 9.0
vs. Mia 2 23.0 3.0-4.5 .667 0.0-0.0 - 2.0-2.0 1.000 1.00 0.50 1.00 1.5 3.5 4.0 7.5 0.5 8.0
vs. Mil 3 13.7 1.3-5.0 .267 0.3-1.0 .333 0.0-1.3 .000 0.33 0.67 1.00 1.7 1.7 2.7 4.3 0.7 3.0
vs. Bkn 4 17.5 2.5-4.8 .526 0.0-0.0 - 0.3-0.8 .333 0.50 0.50 0.75 2.0 2.3 3.5 5.8 1.0 5.3
vs. Orl 2 19.0 5.5-8.5 .647 0.0-0.0 - 0.5-1.0 .500 0.00 1.00 0.50 1.5 1.0 2.0 3.0 0.0 11.5
vs. Phi 3 18.3 3.7-5.7 .647 0.3-0.3 1.000 1.0-1.0 1.000 0.33 0.33 1.00 2.3 1.7 1.7 3.3 0.7 8.7
vs. Pho 2 13.5 1.5-2.0 .750 0.0-0.0 - 0.5-0.5 1.000 0.00 0.00 1.50 3.0 1.5 2.0 3.5 0.0 3.5
vs. Por 2 13.0 0.5-1.5 .333 0.0-0.5 .000 0.0-0.0 - 0.50 0.00 1.00 2.0 0.5 1.5 2.0 1.5 1.0
vs. Sac 1 23.0 2.0-5.0 .400 0.0-0.0 - 0.0-0.0 - 1.00 2.00 1.00 4.0 2.0 5.0 7.0 2.0 4.0
vs. SA 2 12.5 0.5-2.5 .200 0.0-0.5 .000 0.0-0.0 - 0.50 0.00 1.50 2.0 2.0 1.5 3.5 0.5 1.0
vs. OKC 1 12.0 3.0-7.0 .429 0.0-0.0 - 0.0-0.0 - 0.00 1.00 1.00 0.0 3.0 1.0 4.0 0.0 6.0
vs. Uta 2 12.5 1.5-3.5 .429 0.0-0.0 - 0.0-0.0 - 0.00 0.00 2.00 2.0 0.0 0.5 0.5 0.5 3.0
vs. Was 3 13.7 2.3-2.3 1.000 0.0-0.0 - 0.7-0.7 1.000 0.33 1.33 1.33 2.7 1.0 2.0 3.0 0.0 5.3
vs. Tor 2 13.0 1.5-5.0 .300 0.0-0.0 - 0.0-0.0 - 0.50 0.00 0.00 0.5 2.5 2.0 4.5 1.5 3.0
vs. Mem 1 11.0 1.0-3.0 .333 0.0-0.0 - 0.0-0.0 - 0.00 1.00 0.00 2.0 1.0 1.0 2.0 0.0 2.0
vs. Cha 3 18.3 3.3-5.3 .625 0.3-0.7 .500 0.3-0.3 1.000 0.00 0.33 0.33 1.7 2.0 2.3 4.3 0.3 7.3

By Arena
Split G Min FGM-FGA FG% 3PM-3PA 3P% FTM-FTA FT% Stl Blk TO PF OR DR TR A Pts
at Atl 2 17.5 3.0-4.5 .667 0.5-1.0 .500 0.0-0.0 - 1.00 1.50 0.50 1.0 0.5 3.0 3.5 1.0 6.5
at Chi 1 26.0 8.0-10.0 .800 0.0-0.0 - 1.0-1.0 1.000 2.00 0.00 0.00 4.0 2.0 3.0 5.0 2.0 17.0
at Cle 2 17.0 4.0-5.5 .727 0.0-0.0 - 1.0-1.0 1.000 0.00 1.00 0.00 0.0 1.5 2.5 4.0 0.5 9.0
at Dal 1 28.0 5.0-6.0 .833 0.0-0.0 - 2.0-4.0 .500 1.00 0.00 1.00 5.0 4.0 4.0 8.0 1.0 12.0
at Den 1 16.0 3.0-6.0 .500 0.0-0.0 - 0.0-0.0 - 1.00 1.00 1.00 2.0 0.0 3.0 3.0 0.0 6.0
at Det 2 17.5 4.0-5.5 .727 0.0-0.0 - 0.5-1.0 .500 0.00 0.00 1.00 3.5 1.5 2.5 4.0 2.0 8.5
at GS 1 14.0 0.0-1.0 .000 0.0-0.0 - 0.0-0.0 - 0.00 1.00 0.00 0.0 0.0 4.0 4.0 1.0 0.0
at Hou 1 12.0 3.0-5.0 .600 0.0-0.0 - 0.0-0.0 - 0.00 0.00 0.00 1.0 3.0 2.0 5.0 0.0 6.0
at Ind 1 16.0 5.0-6.0 .833 0.0-0.0 - 0.0-0.0 - 0.00 0.00 0.00 2.0 2.0 5.0 7.0 1.0 10.0
at LAC 1 19.0 4.0-6.0 .667 0.0-0.0 - 3.0-3.0 1.000 1.00 0.00 2.00 4.0 1.0 4.0 5.0 1.0 11.0
at LAL 1 20.0 3.0-7.0 .429 0.0-0.0 - 0.0-0.0 - 1.00 0.00 1.00 3.0 4.0 4.0 8.0 0.0 6.0
at Mia 1 14.0 1.0-3.0 .333 0.0-0.0 - 0.0-0.0 - 1.00 0.00 1.00 0.0 3.0 4.0 7.0 0.0 2.0
at Mil 2 15.5 1.5-5.0 .300 0.5-1.5 .333 0.0-1.0 .000 0.50 1.00 1.00 2.0 1.5 3.5 5.0 1.0 3.5
at Bkn 2 13.0 0.5-3.0 .167 0.0-0.0 - 0.0-0.0 - 0.50 0.00 1.00 2.0 1.0 3.0 4.0 1.5 1.0
at NY 31 16.7 2.7-4.5 .593 0.0-0.2 .000 1.0-1.3 .750 0.42 0.45 0.65 1.8 2.1 2.1 4.3 0.8 6.3
at Orl 1 9.0 2.0-4.0 .500 0.0-0.0 - 0.0-0.0 - 0.00 1.00 1.00 1.0 0.0 1.0 1.0 0.0 4.0
at Phi 1 14.0 5.0-6.0 .833 1.0-1.0 1.000 0.0-0.0 - 0.00 0.00 1.00 2.0 0.0 4.0 4.0 1.0 11.0
at Pho 1 14.0 1.0-2.0 .500 0.0-0.0 - 0.0-0.0 - 0.00 0.00 1.00 3.0 3.0 3.0 6.0 0.0 2.0
at Por 1 16.0 0.0-2.0 .000 0.0-1.0 .000 0.0-0.0 - 1.00 0.00 2.00 3.0 1.0 3.0 4.0 2.0 0.0
at Sac 1 23.0 2.0-5.0 .400 0.0-0.0 - 0.0-0.0 - 1.00 2.00 1.00 4.0 2.0 5.0 7.0 2.0 4.0
at SA 1 15.0 1.0-5.0 .200 0.0-1.0 .000 0.0-0.0 - 0.00 0.00 2.00 2.0 2.0 2.0 4.0 0.0 2.0
at Uta 1 12.0 2.0-5.0 .400 0.0-0.0 - 0.0-0.0 - 0.00 0.00 2.00 3.0 0.0 0.0 0.0 1.0 4.0
at Was 2 15.0 3.0-3.0 1.000 0.0-0.0 - 1.0-1.0 1.000 0.50 1.50 1.50 3.0 1.0 2.0 3.0 0.0 7.0
at Tor 1 15.0 1.0-5.0 .200 0.0-0.0 - 0.0-0.0 - 0.00 0.00 0.00 1.0 2.0 2.0 4.0 1.0 2.0
at Cha 2 17.0 3.0-4.5 .667 0.5-0.5 1.000 0.0-0.0 - 0.00 0.50 0.50 1.5 1.0 2.0 3.0 0.5 6.5

STATS GameZone
  • Houston at Detroit, 4:00 PM PT5:00 PM MT6:00 PM CT7:00 PM ET5:00 PM MT7:00 PM ET0:00 GMT8:00 4:00 UAE (+1)01:0019:00 ET
  • Orlando at Indiana, 4:00 PM PT5:00 PM MT6:00 PM CT7:00 PM ET5:00 PM MT7:00 PM ET0:00 GMT8:00 4:00 UAE (+1)01:0019:00 ET
  • Chicago at Charlotte, 4:00 PM PT5:00 PM MT6:00 PM CT7:00 PM ET5:00 PM MT7:00 PM ET0:00 GMT8:00 4:00 UAE (+1)01:0019:00 ET
  • Brooklyn at Cleveland, 4:30 PM PT5:30 PM MT6:30 PM CT7:30 PM ET5:30 PM MT7:30 PM ET0:30 GMT8:30 4:30 UAE (+1)01:3019:30 ET
  • Boston at Philadelphia, 4:30 PM PT5:30 PM MT6:30 PM CT7:30 PM ET5:30 PM MT7:30 PM ET0:30 GMT8:30 4:30 UAE (+1)01:3019:30 ET
  • Miami at Toronto, 4:30 PM PT5:30 PM MT6:30 PM CT7:30 PM ET5:30 PM MT7:30 PM ET0:30 GMT8:30 4:30 UAE (+1)01:3019:30 ET
  • Washington at Milwaukee, 5:00 PM PT6:00 PM MT7:00 PM CT8:00 PM ET6:00 PM MT8:00 PM ET1:00 GMT9:00 5:00 UAE (+1)02:0020:00 ET
  • Atlanta at Minnesota, 5:00 PM PT6:00 PM MT7:00 PM CT8:00 PM ET6:00 PM MT8:00 PM ET1:00 GMT9:00 5:00 UAE (+1)02:0020:00 ET
  • Dallas at San Antonio, 5:30 PM PT6:30 PM MT7:30 PM CT8:30 PM ET6:30 PM MT8:30 PM ET1:30 GMT9:30 5:30 UAE (+1)02:3020:30 ET
  • Oklahoma City at LA Clippers, 7:00 PM PT8:00 PM MT9:00 PM CT10:00 PM ET8:00 PM MT10:00 PM ET3:00 GMT11:00 7:00 UAE (+1)04:0022:00 ET
  • Denver at Phoenix, 7:00 PM PT8:00 PM MT9:00 PM CT10:00 PM ET8:00 PM MT10:00 PM ET3:00 GMT11:00 7:00 UAE (+1)04:0022:00 ET
  • Memphis at Portland, 7:00 PM PT8:00 PM MT9:00 PM CT10:00 PM ET8:00 PM MT10:00 PM ET3:00 GMT11:00 7:00 UAE (+1)04:0022:00 ET
  • New York at Sacramento, 7:00 PM PT8:00 PM MT9:00 PM CT10:00 PM ET8:00 PM MT10:00 PM ET3:00 GMT11:00 7:00 UAE (+1)04:0022:00 ET
    		•

    @STATS_Insights