Sat, 2020 November 28. @ 08:44 (Europe/Berlin) | Change timezone

Bucuresti CSM


Game Date Home Score Away 1 X 2
1 2020.09.13 Bucuresti CSM 31 : 26 Metz 1.52 8.58 3.32
2 2020.09.20 Esbjerg 29 : 30 Bucuresti CSM 2.10 7.00 2.20
4 2020.10.10 Vag Kristiansand 30 : 25 Bucuresti CSM 1.37 9.50 4.17
5 2020.10.18 Bucuresti CSM 25 : 19 Budapest FTC 1.08 17.00 10.00
6 2020.10.25 Bietigheim SG BBM 22 : 32 Bucuresti CSM 4.15 9.67 1.39
7 2020.11.07 Ljubljana Krim 23 : 25 Bucuresti CSM 7.42 12.33 1.16
8 2020.11.14 Bucuresti CSM 22 : 22 Ljubljana Krim 1.07 17.33 12.00
3 2020.11.19 Bucuresti CSM 22 : 27 Rostov Don 2.45 8.25 1.82
9  2020.11.22 Bucuresti CSM - : - Bietigheim SG BBM 1.17 13.00 6.50


  Season progress graph Form
Home Home 19
Away Season progress graph 44
Overall Season progress graph 27

Bietigheim SG BBM


Game Date Home Score Away 1 X 2
1 2020.09.13 Bietigheim SG BBM 26 : 33 Esbjerg 2.07 7.67 2.23
2 2020.09.20 Metz 36 : 27 Bietigheim SG BBM 1.20 12.33 6.17
3 2020.09.26 Bietigheim SG BBM 29 : 33 Vag Kristiansand 5.58 11.00 1.26
4 2020.10.11 Bietigheim SG BBM 31 : 32 Rostov Don 8.58 14.33 1.12
5 2020.10.17 Ljubljana Krim 28 : 26 Bietigheim SG BBM 2.63 8.08 1.77
6 2020.10.25 Bietigheim SG BBM 22 : 32 Bucuresti CSM 4.15 9.67 1.39
7 2020.11.07 Budapest FTC 24 : 35 Bietigheim SG BBM 1.16 13.33 7.42
8 2020.11.15 Bietigheim SG BBM 25 : 29 Budapest FTC 3.15 8.33 1.56
9  2020.11.22 Bucuresti CSM - : - Bietigheim SG BBM 1.17 13.00 6.50


  Season progress graph Form
Home Home 0
Away Season progress graph 20
Overall Season progress graph 16

Mutual matches

Date Home Score Away 1 X 2
2020.10.25 Bietigheim SG BBM 22 : 32 Bucuresti CSM 4.15 9.67 1.39
2018.11.18 Bucuresti CSM 32 : 24 Bietigheim SG BBM 1.12 17.00 8.17
2018.10.14 Bietigheim SG BBM 30 : 28 Bucuresti CSM 5.83 12.00 1.23

Form difference

  Form difference
Home-Away -1
Overall 11
Prediction Draw/no bet

Bucuresti CSM

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 75% (3/4) 25% (1/4) 50% (2/4) 50% (2/4)
Away 25% (1/4) 75% (3/4) 50% (2/4) 50% (2/4)
Overall 50% (4/8) 50% (4/8) 50% (4/8) 50% (4/8)

Winning margin
By 1-2 goals 0% (0/8)
By 3-5 goals 12.5% (1/8)
By 6-10 goals 12.5% (1/8)
By 11+ goals 37.5% (3/8)

Goals scored/game 26.50
Goals received/game 24.75
Goals/game 51.25

  Halftime Final
Won 75% (6/8) 62.5% (5/8)
Ties 0% (0/8) 12.5% (1/8)
Lost 25% (2/8) 25% (2/8)

Number of goals in halves
First 49.51% (203/410)
Second 50.49% (207/410)

Bietigheim SG BBM

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 0% (0/5) 100% (5/5) 60% (3/5) 40% (2/5)
Away 0% (0/3) 100% (3/3) 33.33% (1/3) 66.67% (2/3)
Overall 0% (0/8) 100% (8/8) 50% (4/8) 50% (4/8)

Winning margin
By 1-2 goals 0% (0/8)
By 3-5 goals 0% (0/8)
By 6-10 goals 0% (0/8)
By 11+ goals 12.5% (1/8)

Goals scored/game 27.62
Goals received/game 30.88
Goals/game 58.50

  Halftime Final
Won 25% (2/8) 12.5% (1/8)
Ties 0% (0/8) 0% (0/8)
Lost 75% (6/8) 87.5% (7/8)

Number of goals in halves
First 46.37% (217/468)
Second 53.63% (251/468)

Groups

Pos Name Pld W D L GF:GA GD Pts
Group A
1 Rostov Don 7 6 1 0 191:175 +16 13
2 Bucuresti CSM 8 5 1 2 212:198 +14 11
3 Metz 6 4 0 2 180:169 +11 8
4 Budapest FTC 7 4 0 3 185:183 +2 8
5 Vag Kristiansand 4 3 1 0 117:107 +10 7
6 Ljubljana Krim 8 1 2 5 200:220 -20 4
7 Esbjerg 8 1 1 6 212:219 -7 3
8 Bietigheim SG BBM 8 1 0 7 221:247 -26 2
Pos Name Pld W D L GF:GA GD Pts
Group A
1 Metz 3 3 0 0 100:83 +17 6
2 Bucuresti CSM 4 2 1 1 100:94 +6 5
3 Rostov Don 3 2 1 0 81:73 +8 5
4 Ljubljana Krim 4 1 0 3 103:110 -7 2
5 Budapest FTC 3 1 0 2 81:86 -5 2
6 Vag Kristiansand 1 1 0 0 30:25 +5 2
7 Esbjerg 5 0 1 4 126:134 -8 1
8 Bietigheim SG BBM 5 0 0 5 133:159 -26 0
Pos Name Pld W D L GF:GA GD Pts
Group A
1 Rostov Don 4 4 0 0 110:102 +8 8
2 Bucuresti CSM 4 3 0 1 112:104 +8 6
3 Budapest FTC 4 3 0 1 104:97 +7 6
4 Vag Kristiansand 3 2 1 0 87:82 +5 5
5 Ljubljana Krim 4 0 2 2 97:110 -13 2
6 Bietigheim SG BBM 3 1 0 2 88:88 0 2
7 Esbjerg 3 1 0 2 86:85 +1 2
8 Metz 3 1 0 2 80:86 -6 2

Here you can check how Bucuresti CSM compares to Bietigheim SG BBM by stats. The data is calculated based on matches from Champions League W. This can be very useful in predicting the outcome of the next match.