Mon, 2020 November 30. @ 11:16 (Europe/Berlin) | Change timezone

Ljubljana Krim


Game Date Home Score Away 1 X 2
1 2020.09.12 Ljubljana Krim 26 : 27 Vag Kristiansand 7.50 12.67 1.16
2 2020.09.19 Rostov Don 23 : 23 Ljubljana Krim 1.01 25.00 22.00
4 2020.10.10 Metz 33 : 27 Ljubljana Krim 1.04 23.67 14.00
5 2020.10.17 Ljubljana Krim 28 : 26 Bietigheim SG BBM 2.63 8.08 1.77
6 2020.10.24 Budapest FTC 32 : 25 Ljubljana Krim 1.23 11.00 5.83
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
9 2020.11.21 Ljubljana Krim 26 : 32 Budapest FTC 4.05 9.33 1.39


  Season progress graph Form
Home Home 9
Away Season progress graph 14
Overall Season progress graph 11

Budapest FTC


Game Date Home Score Away 1 X 2
1 2020.09.12 Budapest FTC 25 : 26 Rostov Don 2.37 8.00 1.90
4 2020.10.11 Esbjerg 21 : 24 Budapest FTC 1.75 8.08 2.60
5 2020.10.18 Bucuresti CSM 25 : 19 Budapest FTC 1.08 17.00 10.00
6 2020.10.24 Budapest FTC 32 : 25 Ljubljana Krim 1.23 11.00 5.83
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 2020.11.21 Ljubljana Krim 26 : 32 Budapest FTC 4.05 9.33 1.39


  Season progress graph Form
Home Home 12
Away Season progress graph 44
Overall Season progress graph 42

Mutual matches

Date Home Score Away 1 X 2
2020.11.21 Ljubljana Krim 26 : 32 Budapest FTC 4.05 9.33 1.39
2020.10.24 Budapest FTC 32 : 25 Ljubljana Krim 1.23 11.00 5.83
2019.03.10 Budapest FTC 31 : 27 Ljubljana Krim 1.11 16.00 8.31
2019.02.09 Ljubljana Krim 23 : 25 Budapest FTC 5.25 12.00 1.23
2013.03.03 Ljubljana Krim 31 : 25 Budapest FTC 1.20 13.25 5.59
2013.02.17 Budapest FTC 30 : 26 Ljubljana Krim 2.70 8.42 1.70

Form difference

  Form difference
Home-Away -35
Overall -31
Prediction Home Lose

Ljubljana Krim

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 25% (1/4) 75% (3/4) 75% (3/4) 25% (1/4)
Away 50% (2/4) 50% (2/4) 75% (3/4) 25% (1/4)
Overall 37.5% (3/8) 62.5% (5/8) 75% (6/8) 25% (2/8)

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

Goals scored/game 25.00
Goals received/game 27.50
Goals/game 52.50

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

Number of goals in halves
First 49.29% (207/420)
Second 50.71% (213/420)

Budapest FTC

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 33.33% (1/3) 66.67% (2/3) 0% (0/3) 100% (3/3)
Away 50% (2/4) 50% (2/4) 75% (3/4) 25% (1/4)
Overall 42.86% (3/7) 57.14% (4/7) 42.86% (3/7) 57.14% (4/7)

Winning margin
By 1-2 goals 0% (0/7)
By 3-5 goals 0% (0/7)
By 6-10 goals 14.29% (1/7)
By 11+ goals 42.86% (3/7)

Goals scored/game 26.43
Goals received/game 26.14
Goals/game 52.57

  Halftime Final
Won 14.29% (1/7) 57.14% (4/7)
Ties 28.57% (2/7) 0% (0/7)
Lost 57.14% (4/7) 42.86% (3/7)

Number of goals in halves
First 46.74% (172/368)
Second 53.26% (196/368)

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 Ljubljana Krim compares to Budapest FTC 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.