Wed, 2018 October 24. @ 00:13 (Europe/Berlin) | Change timezone

Chicago


Game Date Home Score Away 1 X 2
2 2018.10.19 Philadelphia 127 : 108 Chicago 1.12 19.00 8.00
2 2018.10.21 Chicago 116 : 118 Detroit 2.75 13.00 1.60
3 2018.10.23 Dallas 115 : 109 Chicago 1.52 13.00 3.00
4  2018.10.25 Chicago - : - Charlotte Bobcats 2.39 12.00 1.75
6  2018.10.27 Charlotte Bobcats - : - Chicago - - -
5  2018.10.28 Atlanta - : - Chicago - - -
7  2018.10.30 Chicago - : - Golden State - - -


  Season progress graph Form
Home Home 0
Away Season progress graph 0
Overall Season progress graph 0

Detroit


Game Date Home Score Away 1 X 2
1 2018.10.18 Detroit 103 : 100 New Jersey 1.46 13.00 3.25
2 2018.10.21 Chicago 116 : 118 Detroit 2.75 13.00 1.60
3  2018.10.24 Detroit - : - Philadelphia 2.06 12.00 1.98
4  2018.10.26 Detroit - : - Cleveland - - -
5  2018.10.28 Detroit - : - Boston - - -
7  2018.10.31 Boston - : - Detroit - - -


  Season progress graph Form
Home Home 15
Away Season progress graph 20
Overall Season progress graph 32

Mutual matches

Date Home Score Away 1 X 2
2018.10.21 Chicago 116 : 118 Detroit 2.75 13.00 1.60
2018.04.12 Chicago 87 : 119 Detroit 2.60 10.50 1.55
2018.03.25 Detroit 117 : 95 Chicago 1.09 13.00 7.25
2018.03.10 Detroit 99 : 83 Chicago 1.32 11.00 3.60
2018.01.14 Chicago 107 : 105 Detroit 1.95 10.50 1.90
2017.03.23 Chicago 117 : 95 Detroit 2.05 12.00 1.85
2017.03.07 Detroit 109 : 95 Chicago 1.38 12.50 3.10
2016.12.20 Chicago 113 : 82 Detroit 1.65 12.00 2.30
2016.12.07 Detroit 102 : 91 Chicago 1.42 12.50 2.90
2016.04.03 Chicago 90 : 94 Detroit 1.65 12.00 2.30
2016.01.18 Detroit 101 : 111 Chicago 1.72 9.00 2.10
2015.12.19 Chicago 144 : 147 ot Detroit 1.55 12.00 2.50
2015.10.31 Detroit 98 : 94 ot Chicago 2.05 9.00 1.75
2015.04.04 Chicago 88 : 82 Detroit 1.21 14.50 4.95
2015.03.22 Detroit 107 : 91 Chicago 2.35 12.00 1.67
2015.02.21 Detroit 100 : 91 Chicago 3.05 11.00 1.41
2014.11.11 Chicago 102 : 91 Detroit 1.18 10.00 4.90
2014.04.12 Chicago 106 : 98 Detroit 1.14 16.00 6.00
2014.03.06 Detroit 94 : 105 Chicago 2.40 15.00 1.60
2013.12.08 Chicago 75 : 92 Detroit 1.60 15.00 2.40
2013.11.28 Detroit 79 : 99 Chicago 1.60 15.00 2.40
2013.04.08 Detroit 99 : 85 Chicago 2.66 - 1.50
2013.04.01 Chicago 95 : 94 Detroit 1.21 - 4.71
2013.01.24 Chicago 85 : 82 Detroit 1.35 - 3.27
2012.12.08 Detroit 104 : 108 Chicago 2.27 - 1.67
2012.04.16 Detroit 94 : 100 ot Chicago 4.48 - 1.22
2012.03.31 Chicago 83 : 71 Detroit 1.09 - 7.68
2012.01.10 Chicago 92 : 68 Detroit 1.04 - 11.67
2012.01.05 Detroit 83 : 99 Chicago 3.22 - 1.37
2011.04.02 Detroit 96 : 101 Chicago 4.50 - 1.21
2011.01.11 Chicago 95 : 82 Detroit 1.17 - 5.25
2010.12.27 Detroit 92 : 95 ot Chicago 2.83 - 1.46
2010.10.31 Chicago 101 : 91 Detroit 1.19 - 4.90
2010.03.29 Detroit 103 : 110 Chicago 1.77 - 2.11
2010.01.12 Chicago 120 : 87 Detroit 1.39 - 3.10
2009.12.31 Detroit 87 : 98 Chicago 1.54 - 2.56
2009.12.03 Chicago 92 : 85 Detroit 1.30 - 3.63
2009.04.14 Detroit 88 : 91 Chicago 1.56 - 2.47
2009.03.25 Chicago 99 : 91 Detroit 1.44 - 2.84
2009.02.11 Chicago 107 : 102 Detroit 1.71 - 2.19
2008.12.24 Detroit 104 : 98 Chicago 1.34 - 3.35
2008.03.10 Detroit 116 : 109 Chicago - - -
2008.01.20 Chicago 97 : 81 Detroit - - -
2007.12.08 Detroit 91 : 98 Chicago - - -
2007.11.09 Chicago 97 : 93 Detroit - - -
2007.05.17 Chicago 85 : 95 Detroit - - -
2007.05.15 Detroit 92 : 108 Chicago - - -
2007.05.13 Chicago 102 : 87 Detroit - - -
2007.05.10 Chicago 74 : 81 Detroit - - -
2007.05.07 Detroit 108 : 87 Chicago - - -
2007.05.05 Detroit 95 : 69 Chicago - - -
2007.04.04 Detroit 88 : 106 Chicago - - -
2007.03.29 Chicago 83 : 81 Detroit - - -
2007.02.25 Detroit 95 : 93 Chicago - - -
2007.01.06 Chicago 106 : 89 Detroit - - -
2006.03.08 Detroit 106 : 101 Chicago 1.15 - 5.65
2006.02.24 Chicago 87 : 95 Detroit 2.83 - 1.45
2005.12.16 Detroit 110 : 82 Chicago 1.22 - 4.40
2005.12.03 Chicago 79 : 92 Detroit 2.50 - 1.55
2005.04.11 Chicago 84 : 85 ot Detroit 1.99 - 1.85
2005.01.22 Detroit 89 : 100 Chicago - - -
2005.01.03 Chicago 80 : 87 Detroit 2.55 - 1.53
2004.12.22 Detroit 82 : 89 Chicago - - -
2004.03.10 Detroit 98 : 65 Chicago 1.09 - 8.01
2004.02.25 Chicago 88 : 107 Detroit 3.00 - 1.41
2004.01.13 Chicago 89 : 105 Detroit - - -
2003.12.17 Detroit 77 : 73 Chicago - - -

Form difference

  Form difference
Home-Away -20
Overall -32
Prediction Home Lose

Chicago

Total points/game
< 140 0% (0/3)
141 - 170 0% (0/3)
171 - 200 0% (0/3)
201+ 100% (3/3)

Winning margin
By 1-2 points 0% (0/3)
By 3-6 points 0% (0/3)
By 7-9 points 0% (0/3)
By 10-13 points 0% (0/3)
By 14-16 points 0% (0/3)
By 17-20 points 0% (0/3)
By 21+ points 0% (0/3)

Points scored/game 111.00
Points received/game 120.00
Points/game 231.00

  1st quarter 2nd quarter 3rd quarter Final
Won 66.67% (2/3) 33.33% (1/3) 33.33% (1/3) 0% (0/3)
Ties 0% (0/3) 0% (0/3) 0% (0/3) 0% (0/3)
Lost 33.33% (1/3) 66.67% (2/3) 66.67% (2/3) 100% (3/3)

No. of points in quarters
First 27.42% (190/693)
Second 24.68% (171/693)
Third 22.8% (158/693)
Fourth 25.11% (174/693)

Detroit

Total points/game
< 140 0% (0/2)
141 - 170 0% (0/2)
171 - 200 0% (0/2)
201+ 100% (2/2)

Winning margin
By 1-2 points 50% (1/2)
By 3-6 points 50% (1/2)
By 7-9 points 0% (0/2)
By 10-13 points 0% (0/2)
By 14-16 points 0% (0/2)
By 17-20 points 0% (0/2)
By 21+ points 0% (0/2)

Points scored/game 110.50
Points received/game 108.00
Points/game 218.50

  1st quarter 2nd quarter 3rd quarter Final
Won 0% (0/2) 100% (2/2) 50% (1/2) 100% (2/2)
Ties 0% (0/2) 0% (0/2) 0% (0/2) 0% (0/2)
Lost 100% (2/2) 0% (0/2) 50% (1/2) 0% (0/2)

No. of points in quarters
First 24.03% (105/437)
Second 26.32% (115/437)
Third 24.71% (108/437)
Fourth 24.94% (109/437)

Groups

Pos Name Pld W WO LO L PS:PA PCT
Central Division
1 Milwaukee 3 3 0 0 0 355:326 1.000
2 Detroit 2 2 0 0 0 221:216 1.000
3 Indiana 4 2 0 0 2 435:414 0.500
4 Chicago 3 0 0 0 3 333:360 0.000
5 Cleveland 3 0 0 0 3 338:380 0.000
Pos Name Pld W WO LO L PS:PA PCT
Eastern Conference
1 Toronto 4 4 0 0 0 473:424 1.000
2 Milwaukee 3 3 0 0 0 355:326 1.000
3 Detroit 2 2 0 0 0 221:216 1.000
4 Philadelphia 3 2 0 0 1 330:328 0.667
5 Charlotte Bobcats 4 2 0 0 2 451:440 0.500
6 Orlando 4 2 0 0 2 400:427 0.500
7 Boston 4 2 0 0 2 399:394 0.500
8 Indiana 4 2 0 0 2 435:414 0.500
9 Miami 3 1 0 0 2 326:329 0.333
10 Atlanta 3 1 0 0 2 357:368 0.333
11 New Jersey 3 1 0 0 2 319:340 0.333
12 Washington 3 0 1 0 2 350:354 0.000
13 New York 4 1 0 0 3 445:441 0.250
14 Chicago 3 0 0 0 3 333:360 0.000
15 Cleveland 3 0 0 0 3 338:380 0.000
Pos Name Pld W WO LO L PS:PA PCT
Central Division
1 Indiana 2 2 0 0 0 243:195 1.000
2 Milwaukee 2 2 0 0 0 242:214 1.000
3 Detroit 1 1 0 0 0 103:100 1.000
4 Chicago 1 0 0 0 1 116:118 0.000
5 Cleveland 1 0 0 0 1 111:133 0.000
Pos Name Pld W WO LO L PS:PA PCT
Eastern Conference
1 Toronto 3 3 0 0 0 356:311 1.000
2 Philadelphia 2 2 0 0 0 243:223 1.000
3 Indiana 2 2 0 0 0 243:195 1.000
4 Milwaukee 2 2 0 0 0 242:214 1.000
5 New York 2 1 0 0 1 227:210 0.500
6 Boston 2 1 0 0 1 195:180 0.500
7 Orlando 2 1 0 0 1 192:221 0.500
8 New Jersey 1 1 0 0 0 107:105 1.000
9 Detroit 1 1 0 0 0 103:100 1.000
10 Washington 2 0 0 0 2 225:230 0.000
11 Chicago 1 0 0 0 1 116:118 0.000
12 Miami 1 0 0 0 1 112:113 0.000
13 Charlotte Bobcats 1 0 0 0 1 112:113 0.000
14 Cleveland 1 0 0 0 1 111:133 0.000
15 Atlanta 0 0 0 0 0 0:0 0.000
Pos Name Pld W WO LO L PS:PA PCT
Central Division
1 Detroit 1 1 0 0 0 118:116 1.000
2 Milwaukee 1 1 0 0 0 113:112 1.000
3 Cleveland 2 0 0 0 2 227:247 0.000
4 Chicago 2 0 0 0 2 217:242 0.000
5 Indiana 2 0 0 0 2 192:219 0.000
Pos Name Pld W WO LO L PS:PA PCT
Eastern Conference
1 Charlotte Bobcats 3 2 0 0 1 339:327 0.667
2 Atlanta 3 1 0 0 2 357:368 0.333
3 Miami 2 1 0 0 1 214:216 0.500
4 Orlando 2 1 0 0 1 208:206 0.500
5 Boston 2 1 0 0 1 204:214 0.500
6 Washington 1 0 1 0 0 125:124 0.000
7 Detroit 1 1 0 0 0 118:116 1.000
8 Toronto 1 1 0 0 0 117:113 1.000
9 Milwaukee 1 1 0 0 0 113:112 1.000
10 Cleveland 2 0 0 0 2 227:247 0.000
11 New York 2 0 0 0 2 218:231 0.000
12 Chicago 2 0 0 0 2 217:242 0.000
13 New Jersey 2 0 0 0 2 212:235 0.000
14 Indiana 2 0 0 0 2 192:219 0.000
15 Philadelphia 1 0 0 0 1 87:105 0.000

Here you can check how Chicago compares to Detroit by stats. The data is calculated based on matches from NBA. This can be very useful in predicting the outcome of the next match.