Wed, 2018 October 17. @ 15:46 (Europe/Berlin) | Change timezone

St. Pauli


Game Date Home Score Away 1 X 2
1 2018.08.05 Magdeburg FC 1 : 2 St. Pauli 2.28 3.10 3.17
2 2018.08.10 St. Pauli 2 : 0 Darmstatd 98 2.17 3.15 3.46
3 2018.08.26 Berlin Union 4 : 1 St. Pauli 2.01 3.35 3.68
4 2018.09.02 St. Pauli 3 : 5 Köln 3.67 3.39 2.00
5 2018.09.16 Aue Erzgebirge 3 : 1 St. Pauli 2.83 3.15 2.55
6 2018.09.21 Ingolstadt 0 : 1 St. Pauli 2.12 3.33 3.41
7 2018.09.26 St. Pauli 2 : 1 Paderborn 2.17 3.52 3.16
8 2018.09.30 Hamburg SV 0 : 0 St. Pauli 1.92 3.53 3.90
9 2018.10.07 St. Pauli 3 : 1 Sandhausen 2.11 3.17 3.70
10  2018.10.22 Duisburg - : - St. Pauli 2.53 3.27 2.67
11  2018.10.28 St. Pauli - : - Holstein Kiel 2.21 3.31 3.17
12  2018.11.04 Bielefeld - : - St. Pauli - - -


  Season progress graph Form
Home Home 33
Away Season progress graph 30
Overall Season progress graph 40

Darmstatd 98


Game Date Home Score Away 1 X 2
1 2018.08.05 Darmstatd 98 1 : 0 Paderborn 2.73 3.17 2.53
2 2018.08.10 St. Pauli 2 : 0 Darmstatd 98 2.17 3.15 3.46
3 2018.08.24 Darmstatd 98 3 : 0 Duisburg 2.30 3.19 3.16
4 2018.09.02 Heidenheim 1.FC 0 : 1 Darmstatd 98 2.43 3.28 2.86
5 2018.09.15 Darmstatd 98 1 : 1 Sandhausen 2.13 3.09 3.68
6 2018.09.22 Dresden 4 : 1 Darmstatd 98 2.23 3.30 3.22
7 2018.09.25 Darmstatd 98 1 : 2 Bielefeld 2.24 3.27 3.22
8 2018.09.28 Holstein Kiel 4 : 2 Darmstatd 98 1.93 3.51 3.86
9 2018.10.05 Darmstatd 98 1 : 2 Hamburg SV 3.16 3.24 2.27
10  2018.10.21 Regensburg SG - : - Darmstatd 98 2.02 3.34 3.60
11  2018.10.26 Darmstatd 98 - : - Fürth 2.24 3.20 3.15
12  2018.11.03 Darmstatd 98 - : - Magdeburg FC - - -


  Season progress graph Form
Home Home 12
Away Season progress graph 12
Overall Season progress graph 1

Mutual matches

Date Home Score Away 1 X 2
2018.08.10 St. Pauli 2 : 0 Darmstatd 98 2.17 3.15 3.46
2018.01.28 St. Pauli 0 : 1 Darmstatd 98 2.04 3.30 3.60
2017.08.18 Darmstatd 98 3 : 0 St. Pauli 2.46 3.08 2.93
2015.05.24 Darmstatd 98 1 : 0 St. Pauli 1.75 3.64 4.31
2014.12.14 St. Pauli 0 : 1 Darmstatd 98 2.80 3.20 2.45

Form difference

  Form difference
Home-Away 21
Overall 39
Prediction Home Win

St. Pauli

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 25% (1/4) 75% (3/4) 75% (3/4) 25% (1/4)
Away 40% (2/5) 60% (3/5) 40% (2/5) 60% (3/5)
Overall 33.33% (3/9) 66.67% (6/9) 55.56% (5/9) 44.44% (4/9)
To nil
Win to nil 22.22% (2/9)
Lose to nil 0% (0/9)

Winning margin
By 1 goal 33.33% (3/9)
By 2 goals or more 22.22% (2/9)

Goals scored/game 1.67
Goals received/game 1.67
Goals/game 3.33
Clean sheet 33.33% (3/9)

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

  Scored percent Scored against percent
Home 100% (4/4) 75% (3/4)
Away 80% (4/5) 60% (3/5)

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

  Halftime Final
Won 11.11% (1/9) 55.56% (5/9)
Ties 66.67% (6/9) 11.11% (1/9)
Lost 22.22% (2/9) 33.33% (3/9)

Number of goals in halves
First 46.67% (14/30)
Second 53.33% (16/30)

Darmstatd 98

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 40% (2/5) 60% (3/5) 20% (1/5) 80% (4/5)
Away 50% (2/4) 50% (2/4) 50% (2/4) 50% (2/4)
Overall 44.44% (4/9) 55.56% (5/9) 33.33% (3/9) 66.67% (6/9)
To nil
Win to nil 33.33% (3/9)
Lose to nil 11.11% (1/9)

Winning margin
By 1 goal 22.22% (2/9)
By 2 goals or more 11.11% (1/9)

Goals scored/game 1.22
Goals received/game 1.67
Goals/game 2.89
Clean sheet 33.33% (3/9)

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

  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
0 0 0 2 1 1 0 0 1

  Halftime Final
Won 11.11% (1/9) 33.33% (3/9)
Ties 66.67% (6/9) 11.11% (1/9)
Lost 22.22% (2/9) 55.56% (5/9)

Number of goals in halves
First 38.46% (10/26)
Second 61.54% (16/26)

League tables

Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Köln 9 6 1 2 22:14 +8 19 3 6 -1
2 Berlin Union 9 4 5 0 14:7 +7 17 6 3 =1
3 Hamburg SV 9 5 2 2 12:11 +1 17 3 6 +1
4 Fürth 9 4 4 1 13:8 +5 16 6 3 =1
5 St. Pauli 9 5 1 3 15:15 0 16 3 6 +1
6 Paderborn 9 4 3 2 19:15 +4 15 3 6 +2
7 Bochum 9 4 2 3 16:10 +6 14 5 4 +1
8 Regensburg SG 9 4 2 3 16:13 +3 14 4 5 =1
9 Dresden 9 4 1 4 12:10 +2 13 5 4 =1
10 Heidenheim 1.FC 9 3 3 3 14:12 +2 12 5 4 =1
11 Holstein Kiel 9 3 3 3 14:14 0 12 3 6 -1
12 Bielefeld 9 3 3 3 12:14 -2 12 4 5 -2
13 Aue Erzgebirge 9 3 1 5 10:13 -3 10 4 5 +1
14 Darmstatd 98 9 3 1 5 11:15 -4 10 4 5 -4
15 Magdeburg FC 9 1 6 2 13:14 -1 9 4 5 =1
16 Duisburg 9 1 2 6 9:18 -9 5 3 6 +1
17 Sandhausen 9 1 2 6 5:14 -9 5 6 3 -2
18 Ingolstadt 9 1 2 6 9:19 -10 5 3 6 -5
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 Bochum 5 3 0 2 8:3 +5 9 4 1 +1
3 Fürth 5 2 3 0 10:5 +5 9 2 3 =2
4 St. Pauli 4 3 0 1 10:7 +3 9 1 3 +2
5 Holstein Kiel 4 2 2 0 9:6 +3 8 1 3 +1
6 Paderborn 4 2 2 0 9:6 +3 8 2 2 +1
7 Regensburg SG 4 2 1 1 4:4 0 7 2 2 +1
8 Hamburg SV 5 2 1 2 6:10 -4 7 1 4 =1
9 Heidenheim 1.FC 4 2 1 1 6:4 +2 7 3 1 +2
10 Köln 5 2 1 2 10:10 0 7 1 4 -1
11 Bielefeld 4 2 1 1 9:8 +1 7 1 3 -1
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 Dresden 5 2 0 3 6:6 0 6 3 2 -1
15 Magdeburg FC 5 0 4 1 7:8 -1 4 2 3 =4
16 Ingolstadt 5 1 1 3 6:8 -2 4 2 3 -3
17 Sandhausen 4 0 1 3 0:6 -6 1 3 1 -2
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 4 4 0 0 12:4 +8 12 2 2 +4
2 Hamburg SV 4 3 1 0 6:1 +5 10 2 2 +1
3 Regensburg SG 5 2 1 2 12:9 +3 7 2 3 =1
4 Dresden 4 2 1 1 6:4 +2 7 2 2 =1
5 Fürth 4 2 1 1 3:3 0 7 4 0 +1
6 Paderborn 5 2 1 2 10:9 +1 7 1 4 +1
7 St. Pauli 5 2 1 2 5:8 -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 4 1 2 1 6:6 0 5 2 2 +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 Darmstatd 98 4 1 0 3 4:10 -6 3 2 2 -2
17 Aue Erzgebirge 5 1 0 4 5:9 -4 3 2 3 -1
18 Ingolstadt 4 0 1 3 3:11 -8 1 1 3 -2

Here you can check how St. Pauli compares to Darmstatd 98 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.