Fri, 2017 August 18. @ 08:54 (Europe/Berlin) | Change timezone

Connecticut

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2017.05.14 Connecticut 74 : 81 Atlanta - - -
3 2017.05.21 Indiana 81 : 79 Connecticut 1.35 12.00 3.30
4 2017.05.24 Minnesota 80 : 78 Connecticut 1.12 14.00 6.00
4 2017.05.27 Connecticut 68 : 82 Minnesota 3.40 12.00 1.32
6 2017.05.29 Chicago 79 : 97 Connecticut 1.75 11.50 2.10
6 2017.05.31 Washington 78 : 76 Connecticut 1.30 12.00 3.60
7 2017.06.04 San Antonio 77 : 85 Connecticut 2.75 12.00 1.45
8 2017.06.11 Connecticut 104 : 71 Atlanta 1.62 12.00 2.35
9 2017.06.15 Connecticut 96 : 76 New York 1.90 10.50 1.95
10 2017.06.18 Minnesota 93 : 98 Connecticut 1.18 13.00 4.80
12 2017.06.24 New York 89 : 94 Connecticut 1.50 12.00 2.65
16 2017.06.25 Tulsa 96 : 82 Connecticut 2.70 12.00 1.48
13 2017.06.28 Connecticut 79 : 87 Los Angeles 2.20 11.00 1.72
14 2017.06.30 Connecticut 96 : 89 Seattle 1.40 12.00 3.00
15 2017.07.01 Indiana 85 : 91 Connecticut 2.45 11.50 1.58
16 2017.07.06 San Antonio 56 : 89 Connecticut 3.80 13.00 1.27
17 2017.07.09 Connecticut 96 : 92 Washington 1.65 12.00 2.25
18 2017.07.12 Seattle 79 : 83 Connecticut 2.25 12.00 1.65
18 2017.07.14 Los Angeles 87 : 77 Connecticut 1.38 12.00 3.10
20 2017.07.16 Connecticut 89 : 75 San Antonio 1.07 14.00 8.25
19 2017.07.19 New York 96 : 80 Connecticut 2.20 12.00 1.68
22 2017.07.26 Connecticut 93 : 72 Chicago 1.32 12.00 3.40
24 2017.07.30 Connecticut 89 : 73 Indiana 1.11 14.00 6.25
25 2017.08.05 Connecticut 93 : 92 Phoenix 1.28 13.00 3.60
26 2017.08.09 Connecticut 84 : 71 Seattle 1.32 12.00 3.40
27 2017.08.13 Connecticut 96 : 88 Tulsa 1.23 13.00 4.20
29 2017.08.16 Atlanta 75 : 96 Connecticut 2.50 12.00 1.55
29  2017.08.19 Connecticut - : - New York 1.40 12.00 3.00
30  2017.08.20 Connecticut - : - Phoenix - - -
31  2017.08.24 Connecticut - : - Tulsa - - -
32  2017.08.26 Connecticut - : - Chicago - - -


  Season progress graph Form
Home Home 45
Away Season progress graph 32
Overall Season progress graph 50

Tulsa

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2017.05.15 Phoenix 58 : 68 Tulsa - - -
2 2017.05.21 Tulsa 87 : 89 Minnesota 5.00 13.00 1.17
4 2017.05.25 San Antonio 82 : 94 Tulsa 2.05 11.50 1.82
5 2017.05.28 Phoenix 107 : 65 Tulsa 1.35 12.00 3.30
5 2017.05.31 Tulsa 89 : 62 Indiana 1.58 11.00 2.45
6 2017.06.03 New York 93 : 89 Tulsa 1.58 12.00 2.40
7 2017.06.04 Indiana 91 : 85 Tulsa 1.58 11.00 2.45
9 2017.06.10 Tulsa 96 : 90 Los Angeles 3.70 13.00 1.28
10 2017.06.11 Tulsa 74 : 91 Minnesota 4.70 13.00 1.19
9 2017.06.14 Los Angeles 97 : 87 Tulsa 1.14 14.00 5.50
12 2017.06.17 Tulsa 93 : 102 ot New York 2.00 10.50 1.88
11 2017.06.18 Washington 83 : 87 Tulsa 1.27 12.00 3.90
14 2017.06.21 Tulsa 81 : 78 San Antonio 1.32 12.00 3.40
13 2017.06.24 San Antonio 69 : 81 Tulsa 2.25 11.50 1.68
16 2017.06.25 Tulsa 96 : 82 Connecticut 2.70 12.00 1.48
17 2017.07.02 Tulsa 69 : 89 Seattle 1.52 12.00 2.55
18 2017.07.06 Tulsa 94 : 84 Atlanta 1.55 11.50 2.55
16 2017.07.09 Atlanta 98 : 78 Tulsa 1.65 12.00 2.25
17 2017.07.12 Chicago 90 : 84 Tulsa 2.35 12.00 1.62
21 2017.07.16 Tulsa 112 : 106 ot Chicago 1.45 12.00 2.75
18 2017.07.19 Minnesota 100 : 74 Tulsa 1.11 14.00 6.25
23 2017.07.26 Tulsa 84 : 82 Indiana 1.32 12.00 3.50
22 2017.07.29 Seattle 109 : 93 Tulsa 1.40 12.00 3.05
23 2017.07.30 Los Angeles 95 : 74 Tulsa 1.14 13.00 5.75
26 2017.08.05 Tulsa 93 : 80 Seattle 2.00 10.50 1.88
27 2017.08.06 Tulsa 85 : 79 Los Angeles 3.20 12.00 1.35
28 2017.08.11 Tulsa 100 : 101 ot Phoenix 1.72 11.50 2.15
27 2017.08.13 Connecticut 96 : 88 Tulsa 1.23 13.00 4.20
30  2017.08.20 Tulsa - : - Atlanta - - -
31  2017.08.24 Connecticut - : - Tulsa - - -
32  2017.08.27 Washington - : - Tulsa - - -
32  2017.08.31 Chicago - : - Tulsa - - -


  Season progress graph Form
Home Home 30
Away Season progress graph 0
Overall Season progress graph 15

Mutual matches

Date Home Score Away 1 X 2
2017.08.13 Connecticut 96 : 88 Tulsa 1.23 13.00 4.20
2017.06.25 Tulsa 96 : 82 Connecticut 2.70 12.00 1.48
2016.09.17 Connecticut 107 : 74 Tulsa 1.52 11.00 2.65
2016.07.20 Tulsa 78 : 89 Connecticut 1.48 12.50 2.74
2016.07.03 Tulsa 83 : 86 Connecticut - - -
2015.08.22 Tulsa 84 : 76 ot Connecticut 1.42 14.50 3.00
2015.08.13 Connecticut 80 : 74 Tulsa 1.55 14.00 2.55
2014.07.06 Tulsa 76 : 78 Connecticut 1.60 15.00 2.40
2014.07.04 Connecticut 83 : 96 Tulsa 1.55 15.00 2.50
2013.07.20 Tulsa 64 : 58 Connecticut 1.80 - 2.05
2013.07.03 Connecticut 88 : 69 Tulsa 1.35 - 3.15
2012.08.22 Connecticut 82 : 80 ot Tulsa 1.07 - 8.50
2012.07.07 Tulsa 75 : 86 Connecticut 4.75 - 1.20
2011.08.28 Tulsa 83 : 72 Connecticut 4.85 - 1.19
2011.06.12 Connecticut 90 : 79 Tulsa 1.04 - 11.10
2010.08.18 Connecticut 90 : 62 Tulsa 1.12 - 6.29
2010.06.30 Tulsa 89 : 101 Connecticut 3.39 - 1.33

Form difference

  Form difference
Home-Away 45
Overall 35
Prediction Home Win

Connecticut

Total points/game
< 140 0% (0/27)
141 - 170 51.85% (14/27)
171 - 200 48.15% (13/27)
201+ 0% (0/27)

Winning margin
By 1-2 points 3.7% (1/27)
By 3-6 points 18.52% (5/27)
By 7-9 points 11.11% (3/27)
By 10-13 points 3.7% (1/27)
By 14-16 points 7.41% (2/27)
By 17-20 points 7.41% (2/27)
By 21+ points 14.81% (4/27)

Points scored/game 87.48
Points received/game 81.48
Points/game 168.96

  1st quarter 2nd quarter 3rd quarter Final
Won 62.96% (17/27) 51.85% (14/27) 7.41% (2/27) 66.67% (18/27)
Ties 7.41% (2/27) 3.7% (1/27) 3.7% (1/27) 0% (0/27)
Lost 29.63% (8/27) 44.44% (12/27) 7.41% (2/27) 33.33% (9/27)

No. of points in quarters
First 25.65% (1170/4562)
Second 22.97% (1048/4562)
Third 4.69% (214/4562)
Fourth 4.76% (217/4562)

Tulsa

Total points/game
< 140 3.57% (1/28)
141 - 170 32.14% (9/28)
171 - 200 53.57% (15/28)
201+ 10.71% (3/28)

Winning margin
By 1-2 points 3.57% (1/28)
By 3-6 points 17.86% (5/28)
By 7-9 points 0% (0/28)
By 10-13 points 17.86% (5/28)
By 14-16 points 3.57% (1/28)
By 17-20 points 0% (0/28)
By 21+ points 3.57% (1/28)

Points scored/game 85.71
Points received/game 88.68
Points/game 174.39

  1st quarter 2nd quarter 3rd quarter Final
Won 25% (7/28) 60.71% (17/28) 14.29% (4/28) 46.43% (13/28)
Ties 7.14% (2/28) 7.14% (2/28) 0% (0/28) 0% (0/28)
Lost 67.86% (19/28) 32.14% (9/28) 14.29% (4/28) 53.57% (15/28)

No. of points in quarters
First 24.8% (1211/4883)
Second 25.74% (1257/4883)
Third 10.24% (500/4883)
Fourth 4.77% (233/4883)

Groups

Pos Name Pld W WO LO L PS:PA PCT
Eastern Conference
1 Connecticut 27 18 0 0 9 2362:2200 0.667
2 Washington 27 15 1 0 11 2211:2148 0.556
3 New York 27 14 1 0 12 2158:2145 0.519
4 Chicago 27 10 1 1 15 2199:2279 0.370
5 Atlanta 29 8 2 1 18 2303:2399 0.276
6 Indiana 28 9 0 1 18 2154:2362 0.321
Pos Name Pld W WO LO L PS:PA PCT
Western Conference
1 Minnesota 26 21 0 0 5 2193:1957 0.808
2 Los Angeles 28 20 0 0 8 2328:2136 0.714
3 Phoenix 27 12 2 1 12 2248:2217 0.444
4 Tulsa 29 12 1 2 14 2489:2584 0.414
5 Seattle 28 12 0 2 14 2281:2310 0.429
6 San Antonio 29 6 1 1 21 2182:2371 0.207
Pos Name Pld W WO LO L PS:PA PCT
Eastern Conference
1 Connecticut 13 10 0 0 3 1157:1049 0.769
2 Washington 13 9 1 0 3 1091:1031 0.692
3 New York 13 9 0 0 4 1072:1004 0.692
4 Atlanta 15 6 1 0 8 1206:1196 0.400
5 Indiana 13 6 0 1 6 1049:1080 0.462
6 Chicago 13 4 0 0 9 1074:1131 0.308
Pos Name Pld W WO LO L PS:PA PCT
Western Conference
1 Los Angeles 13 12 0 0 1 1096:946 0.923
2 Minnesota 13 11 0 0 2 1074:955 0.846
3 Tulsa 15 8 1 2 4 1342:1316 0.533
4 Seattle 15 9 0 1 5 1243:1200 0.600
5 Phoenix 14 7 0 0 7 1149:1089 0.500
6 San Antonio 16 5 1 1 9 1253:1305 0.313
Pos Name Pld W WO LO L PS:PA PCT
Eastern Conference
1 Connecticut 14 8 0 0 6 1205:1151 0.571
2 Chicago 14 6 1 1 6 1125:1148 0.429
3 Washington 14 6 0 0 8 1120:1117 0.429
4 New York 14 5 1 0 8 1086:1141 0.357
5 Indiana 15 3 0 0 12 1105:1282 0.200
6 Atlanta 14 2 1 1 10 1097:1203 0.143
Pos Name Pld W WO LO L PS:PA PCT
Western Conference
1 Minnesota 13 10 0 0 3 1119:1002 0.769
2 Los Angeles 15 8 0 0 7 1232:1190 0.533
3 Phoenix 13 5 2 1 5 1099:1128 0.385
4 Tulsa 14 4 0 0 10 1147:1268 0.286
5 Seattle 13 3 0 1 9 1038:1110 0.231
6 San Antonio 13 1 0 0 12 929:1066 0.077

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