Sun, 2018 October 21. @ 08:06 (Europe/Berlin) | Change timezone

Köln


Game Date Home Score Away 1 X 2
1 2018.08.04 Bochum 0 : 2 Köln 3.01 3.18 2.36
2 2018.08.13 Köln 1 : 1 Berlin Union 1.56 3.98 5.60
3 2018.08.25 Köln 3 : 1 Aue Erzgebirge 1.40 4.51 7.70
4 2018.09.02 St. Pauli 3 : 5 Köln 3.67 3.39 2.00
5 2018.09.16 Köln 3 : 5 Paderborn 1.55 4.17 5.61
6 2018.09.21 Sandhausen 0 : 2 Köln 3.97 3.54 1.89
7 2018.09.25 Köln 2 : 1 Ingolstadt 1.49 4.35 6.04
8 2018.09.28 Bielefeld 1 : 3 Köln 3.46 3.62 1.99
9 2018.10.08 Köln 1 : 2 Duisburg 1.30 5.55 9.15
10 2018.10.20 Holstein Kiel 1 : 1 Köln 3.77 3.72 1.87
11  2018.10.27 Köln - : - Heidenheim 1.FC 1.43 4.45 6.78
12  2018.11.03 Hamburg SV - : - Köln - - -
13  2018.11.10 Köln - : - Dresden - - -


  Season progress graph Form
Home Home 19
Away Season progress graph 50
Overall Season progress graph 32

Berlin Union


Game Date Home Score Away 1 X 2
1 2018.08.05 Berlin Union 1 : 0 Aue Erzgebirge 1.87 3.42 4.09
2 2018.08.13 Köln 1 : 1 Berlin Union 1.56 3.98 5.60
3 2018.08.26 Berlin Union 4 : 1 St. Pauli 2.01 3.35 3.68
4 2018.09.02 Sandhausen 0 : 0 Berlin Union 2.94 3.11 2.48
5 2018.09.14 Berlin Union 2 : 2 Duisburg 1.66 3.75 5.09
6 2018.09.22 Bielefeld 1 : 1 Berlin Union 2.50 3.36 2.76
7 2018.09.25 Berlin Union 2 : 0 Holstein Kiel 1.92 3.48 3.93
8 2018.10.01 Ingolstadt 1 : 2 Berlin Union 2.36 3.24 2.99
9 2018.10.07 Berlin Union 1 : 1 Heidenheim 1.FC 1.77 3.62 4.61
10  2018.10.21 Paderborn - : - Berlin Union 2.29 3.36 3.04
11  2018.10.28 Berlin Union - : - Dresden 1.93 3.50 3.78
12  2018.11.04 Regensburg SG - : - Berlin Union - - -
13  2018.11.10 Berlin Union - : - Fürth - - -


  Season progress graph Form
Home Home 29
Away Season progress graph 38
Overall Season progress graph 35

Mutual matches

Date Home Score Away 1 X 2
2018.08.13 Köln 1 : 1 Berlin Union 1.56 3.98 5.60
2014.04.11 Berlin Union 1 : 2 Köln 3.15 3.36 2.15
2013.11.04 Köln 4 : 0 Berlin Union 1.66 3.50 5.06
2013.02.23 Köln 2 : 0 Berlin Union 1.86 3.45 3.97
2012.09.21 Berlin Union 2 : 1 Köln 2.31 3.44 2.88

Form difference

  Form difference
Home-Away -19
Overall -3
Prediction Draw/no bet

Köln

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 20% (1/5) 80% (4/5) 60% (3/5) 40% (2/5)
Away 60% (3/5) 40% (2/5) 100% (5/5) 0% (0/5)
Overall 40% (4/10) 60% (6/10) 80% (8/10) 20% (2/10)
To nil
Win to nil 20% (2/10)
Lose to nil 0% (0/10)

Winning margin
By 1 goal 10% (1/10)
By 2 goals or more 50% (5/10)

Goals scored/game 2.30
Goals received/game 1.50
Goals/game 3.80
Clean sheet 20% (2/10)

Nr of goals in one match
0 1 2 3 4 5 6+
0 0 4 2 2 0 2

  Scored percent Scored against percent
Home 100% (5/5) 100% (5/5)
Away 100% (5/5) 60% (3/5)

Halftime/Fulltime
1/1 1/X 1/2 X/1 X/X X/2 2/1 2/X 2/2
0 1 0 2 0 2 0 0 0

  Halftime Final
Won 50% (5/10) 60% (6/10)
Ties 50% (5/10) 20% (2/10)
Lost 0% (0/10) 20% (2/10)

Number of goals in halves
First 39.47% (15/38)
Second 60.53% (23/38)

Berlin Union

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 60% (3/5) 40% (2/5) 60% (3/5) 40% (2/5)
Away 75% (3/4) 25% (1/4) 75% (3/4) 25% (1/4)
Overall 66.67% (6/9) 33.33% (3/9) 66.67% (6/9) 33.33% (3/9)
To nil
Win to nil 22.22% (2/9)
Lose to nil 0% (0/9)

Winning margin
By 1 goal 22.22% (2/9)
By 2 goals or more 22.22% (2/9)

Goals scored/game 1.56
Goals received/game 0.78
Goals/game 2.33
Clean sheet 33.33% (3/9)

Nr of goals in one match
0 1 2 3 4 5 6+
1 1 4 1 1 1 0

  Scored percent Scored against percent
Home 100% (5/5) 60% (3/5)
Away 75% (3/4) 75% (3/4)

Halftime/Fulltime
1/1 1/X 1/2 X/1 X/X X/2 2/1 2/X 2/2
1 1 0 2 1 0 0 0 0

  Halftime Final
Won 44.44% (4/9) 44.44% (4/9)
Ties 44.44% (4/9) 55.56% (5/9)
Lost 11.11% (1/9) 0% (0/9)

Number of goals in halves
First 28.57% (6/21)
Second 71.43% (15/21)

League tables

Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Köln 10 6 2 2 23:15 +8 20 4 6 =1
2 Fürth 10 5 4 1 16:10 +6 19 6 4 +1
3 Berlin Union 9 4 5 0 14:7 +7 17 6 3 =1
4 Hamburg SV 9 5 2 2 12:11 +1 17 3 6 +1
5 St. Pauli 9 5 1 3 15:15 0 16 3 6 +1
6 Heidenheim 1.FC 10 4 3 3 17:12 +5 15 5 5 +1
7 Paderborn 9 4 3 2 19:15 +4 15 3 6 +2
8 Bochum 9 4 2 3 16:10 +6 14 5 4 +1
9 Regensburg SG 9 4 2 3 16:13 +3 14 4 5 =1
10 Dresden 10 4 2 4 13:11 +2 14 6 4 =2
11 Holstein Kiel 10 3 4 3 15:15 0 13 4 6 =1
12 Bielefeld 10 3 3 4 14:17 -3 12 4 6 -3
13 Aue Erzgebirge 10 3 2 5 11:14 -3 11 5 5 =1
14 Darmstatd 98 9 3 1 5 11:15 -4 10 4 5 -4
15 Magdeburg FC 10 1 6 3 13:17 -4 9 4 6 -1
16 Sandhausen 10 2 2 6 9:14 -5 8 6 4 +1
17 Duisburg 9 1 2 6 9:18 -9 5 3 6 +1
18 Ingolstadt 10 1 2 7 9:23 -14 5 3 7 -6
Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Berlin Union 5 3 2 0 10:4 +6 11 3 2 =1
2 Heidenheim 1.FC 5 3 1 1 9:4 +5 10 3 2 +3
3 Bochum 5 3 0 2 8:3 +5 9 4 1 +1
4 Holstein Kiel 5 2 3 0 10:7 +3 9 2 3 =1
5 Fürth 5 2 3 0 10:5 +5 9 2 3 =2
6 St. Pauli 4 3 0 1 10:7 +3 9 1 3 +2
7 Paderborn 4 2 2 0 9:6 +3 8 2 2 +1
8 Hamburg SV 5 2 1 2 6:10 -4 7 1 4 =1
9 Dresden 6 2 1 3 7:7 0 7 4 2 =1
10 Köln 5 2 1 2 10:10 0 7 1 4 -1
11 Bielefeld 5 2 1 2 11:11 0 7 1 4 -2
12 Darmstatd 98 5 2 1 2 7:5 +2 7 2 3 -2
13 Aue Erzgebirge 4 2 1 1 5:4 +1 7 2 2 +1
14 Regensburg SG 4 2 1 1 4:4 0 7 2 2 +1
15 Sandhausen 5 1 1 3 4:6 -2 4 3 2 +1
16 Magdeburg FC 5 0 4 1 7:8 -1 4 2 3 =4
17 Ingolstadt 5 1 1 3 6:8 -2 4 2 3 -3
18 Duisburg 4 0 0 4 2:8 -6 0 2 2 -4
Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Köln 5 4 1 0 13:5 +8 13 3 2 =1
2 Hamburg SV 4 3 1 0 6:1 +5 10 2 2 +1
3 Fürth 5 3 1 1 6:5 +1 10 4 1 +2
4 Dresden 4 2 1 1 6:4 +2 7 2 2 =1
5 Paderborn 5 2 1 2 10:9 +1 7 1 4 +1
6 St. Pauli 5 2 1 2 5:8 -3 7 2 3 =1
7 Regensburg SG 5 2 1 2 12:9 +3 7 2 3 =1
8 Berlin Union 4 1 3 0 4:3 +1 6 3 1 +1
9 Bochum 4 1 2 1 8:7 +1 5 1 3 -1
10 Heidenheim 1.FC 5 1 2 2 8:8 0 5 2 3 =1
11 Duisburg 5 1 2 2 7:10 -3 5 1 4 +1
12 Bielefeld 5 1 2 2 3:6 -3 5 3 2 -1
13 Magdeburg FC 5 1 2 2 6:9 -3 5 2 3 -1
14 Sandhausen 5 1 1 3 5:8 -3 4 3 2 -1
15 Holstein Kiel 5 1 1 3 5:8 -3 4 2 3 -3
16 Aue Erzgebirge 6 1 1 4 6:10 -4 4 3 3 =1
17 Darmstatd 98 4 1 0 3 4:10 -6 3 2 2 -2
18 Ingolstadt 5 0 1 4 3:15 -12 1 1 4 -3

Here you can check how Köln compares to Berlin Union by stats. The data is calculated based on matches from 2. Liga. This can be very useful in predicting the outcome of the next match.