Sat, 2019 February 16. @ 14:21 (Europe/Berlin) | Change timezone

Pays D'Aix UC HB

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2018.09.06 Montpellier HB 26 : 23 Pays D'Aix UC HB 1.18 13.25 6.19
2 2018.09.12 Pays D'Aix UC HB 31 : 29 Saint-Raphaël 1.93 7.63 2.25
3 2018.09.19 Tremblay en France 30 : 29 Pays D'Aix UC HB 2.79 7.81 1.66
4 2018.09.26 Pays D'Aix UC HB 25 : 26 Chambery Savoie HB 1.67 8.31 2.88
5 2018.10.03 Pays D'Aix UC HB 26 : 24 Toulouse 1.43 10.50 3.85
6 2018.10.10 Dunkerque 26 : 24 Pays D'Aix UC HB 1.46 9.83 3.67
7 2018.10.17 Pays D'Aix UC HB 35 : 18 Pontault 1.13 17.00 8.75
8 2018.11.07 Paris Handball 31 : 27 Pays D'Aix UC HB 1.03 25.25 18.00
9 2018.11.15 Pays D'Aix UC HB 25 : 29 Nantes HBC 4.07 10.67 1.39
10 2018.11.21 Nimes 32 : 31 Pays D'Aix UC HB 1.43 10.33 3.78
11 2018.11.28 Pays D'Aix UC HB 27 : 26 Istres 1.17 14.00 7.25
12 2018.12.05 Cesson-Sévigné 21 : 28 Pays D'Aix UC HB 2.10 7.31 2.17
13 2018.12.19 Pays D'Aix UC HB 30 : 19 Ivry 1.24 11.44 5.55
14 2019.02.13 Pontault 28 : 29 Pays D'Aix UC HB 3.40 9.31 1.49
15  2019.02.20 Pays D'Aix UC HB - : - Tremblay en France - - -
16  2019.02.27 Istres - : - Pays D'Aix UC HB - - -
17  2019.03.06 Pays D'Aix UC HB - : - Montpellier HB - - -


  Season progress graph Form
Home Home 36
Away Season progress graph 36
Overall Season progress graph 50

Pontault

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2018.09.05 Pontault 22 : 32 Nantes HBC 10.33 17.33 1.08
2 2018.09.12 Ivry 29 : 22 Pontault 1.18 12.50 6.25
3 2018.09.19 Pontault 27 : 31 Nimes 4.00 10.94 1.35
4 2018.09.26 Saint-Raphaël 40 : 28 Pontault 1.05 23.75 13.50
5 2018.10.03 Paris Handball 38 : 25 Pontault 1.01 30.50 26.25
6 2018.10.10 Pontault 26 : 30 Montpellier HB 11.81 20.25 1.07
7 2018.10.17 Pays D'Aix UC HB 35 : 18 Pontault 1.13 17.00 8.75
8 2018.11.07 Pontault 29 : 22 Istres 2.06 8.19 2.15
9 2018.11.14 Cesson-Sévigné 22 : 17 Pontault 1.26 12.00 5.58
10 2018.11.21 Pontault 22 : 28 Chambery Savoie HB 5.80 13.25 1.21
11 2018.11.28 Tremblay en France 25 : 24 Pontault 1.15 13.75 7.56
12 2018.12.05 Pontault 28 : 27 Dunkerque 5.06 10.94 1.27
13 2018.12.19 Toulouse 30 : 25 Pontault 1.16 14.50 7.13
14 2019.02.13 Pontault 28 : 29 Pays D'Aix UC HB 3.40 9.31 1.49
15  2019.02.20 Pontault - : - Ivry - - -
16  2019.02.27 Chambery Savoie HB - : - Pontault - - -
17  2019.03.06 Pontault - : - Saint-Raphaël - - -


  Season progress graph Form
Home Home 18
Away Season progress graph 0
Overall Season progress graph 9

Mutual matches

Date Home Score Away 1 X 2
2019.02.13 Pontault 28 : 29 Pays D'Aix UC HB 3.40 9.31 1.49
2018.10.17 Pays D'Aix UC HB 35 : 18 Pontault 1.13 17.00 8.75

Form difference

  Form difference
Home-Away 36
Overall 41
Prediction Home Win

Pays D'Aix UC HB

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 42.86% (3/7) 57.14% (4/7) 42.86% (3/7) 57.14% (4/7)
Away 42.86% (3/7) 57.14% (4/7) 28.57% (2/7) 71.43% (5/7)
Overall 42.86% (6/14) 57.14% (8/14) 35.71% (5/14) 64.29% (9/14)

Winning margin
By 1-2 goals 21.43% (3/14)
By 3-5 goals 0% (0/14)
By 6-10 goals 0% (0/14)
By 11+ goals 28.57% (4/14)

Goals scored/game 27.86
Goals received/game 26.07
Goals/game 53.93

  Halftime Final
Won 64.29% (9/14) 50% (7/14)
Ties 0% (0/14) 0% (0/14)
Lost 35.71% (5/14) 50% (7/14)

Number of goals in halves
First 50.99% (385/755)
Second 49.01% (370/755)

Pontault

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 28.57% (2/7) 71.43% (5/7) 57.14% (4/7) 42.86% (3/7)
Away 42.86% (3/7) 57.14% (4/7) 14.29% (1/7) 85.71% (6/7)
Overall 35.71% (5/14) 64.29% (9/14) 35.71% (5/14) 64.29% (9/14)

Winning margin
By 1-2 goals 7.14% (1/14)
By 3-5 goals 0% (0/14)
By 6-10 goals 7.14% (1/14)
By 11+ goals 0% (0/14)

Goals scored/game 24.36
Goals received/game 29.86
Goals/game 54.21

  Halftime Final
Won 28.57% (4/14) 14.29% (2/14)
Ties 7.14% (1/14) 0% (0/14)
Lost 64.29% (9/14) 85.71% (12/14)

Number of goals in halves
First 49.93% (379/759)
Second 50.07% (380/759)

League tables

Pos Name Pld W D L GF:GA GD Pts U 52.5 O 52.5 Streak
1 Paris Handball 14 13 1 0 438:349 +89 27 3 11 +10
2 Nantes HBC 14 12 0 2 414:369 +45 24 2 12 +1
3 Montpellier HB 14 11 1 2 403:367 +36 23 5 9 +2
4 Chambery Savoie HB 14 10 1 3 392:359 +33 21 7 7 -1
5 Nimes 14 10 1 3 406:389 +17 21 4 10 +1
6 Pays D'Aix UC HB 14 7 0 7 390:365 +25 14 6 8 +4
7 Saint-Raphaël 14 6 2 6 411:388 +23 14 4 10 -1
8 Tremblay en France 14 4 4 6 383:406 -23 12 4 10 -1
9 Dunkerque 14 4 2 8 336:349 -13 10 11 3 -1
10 Toulouse 14 4 2 8 408:410 -2 10 2 12 +4
11 Cesson-Sévigné 14 3 2 9 327:373 -46 8 8 6 =1
12 Ivry 14 2 2 10 330:375 -45 6 9 5 =1
13 Pontault 14 2 0 12 341:418 -77 4 5 9 -2
14 Istres 14 0 2 12 351:413 -62 2 6 8 -8
Pos Name Pld W D L GF:GA GD Pts U 52.5 O 52.5 Streak
1 Paris Handball 8 8 0 0 261:202 +59 16 1 7 +8
2 Montpellier HB 7 6 0 1 205:188 +17 12 2 5 +1
3 Pays D'Aix UC HB 7 5 0 2 199:171 +28 10 3 4 +2
4 Saint-Raphaël 7 5 0 2 209:184 +25 10 3 4 +1
5 Nimes 7 4 1 2 199:198 +1 9 1 6 +1
6 Chambery Savoie HB 7 4 1 2 191:175 +16 9 4 3 -1
7 Nantes HBC 6 4 0 2 169:165 +4 8 1 5 -1
8 Dunkerque 7 3 2 2 171:163 +8 8 7 0 =1
9 Ivry 7 2 2 3 174:176 -2 6 4 3 =2
10 Cesson-Sévigné 7 2 1 4 164:186 -22 5 5 2 -2
11 Toulouse 7 2 1 4 206:210 -4 5 0 7 +2
12 Tremblay en France 7 2 1 4 186:209 -23 5 2 5 -1
13 Pontault 7 2 0 5 182:199 -17 4 2 5 -1
14 Istres 7 0 1 6 182:206 -24 1 3 4 -4
Pos Name Pld W D L GF:GA GD Pts U 52.5 O 52.5 Streak
1 Nantes HBC 8 8 0 0 245:204 +41 16 1 7 +8
2 Nimes 7 6 0 1 207:191 +16 12 3 4 -1
3 Chambery Savoie HB 7 6 0 1 201:184 +17 12 3 4 -1
4 Paris Handball 6 5 1 0 177:147 +30 11 2 4 +4
5 Montpellier HB 7 5 1 1 198:179 +19 11 3 4 +2
6 Tremblay en France 7 2 3 2 197:197 0 7 2 5 =2
7 Toulouse 7 2 1 4 202:200 +2 5 2 5 +2
8 Pays D'Aix UC HB 7 2 0 5 191:194 -3 4 3 4 +2
9 Saint-Raphaël 7 1 2 4 202:204 -2 4 1 6 -2
10 Cesson-Sévigné 7 1 1 5 163:187 -24 3 3 4 =1
11 Dunkerque 7 1 0 6 165:186 -21 2 4 3 -3
12 Istres 7 0 1 6 169:207 -38 1 3 4 -6
13 Pontault 7 0 0 7 159:219 -60 0 3 4 -7
14 Ivry 7 0 0 7 156:199 -43 0 5 2 -7

Here you can check how Pays D'Aix UC HB compares to Pontault by stats. The data is calculated based on matches from D1M. This can be very useful in predicting the outcome of the next match.