Thu, 2019 February 21. @ 22:50 (Europe/Berlin) | Change timezone

Paderborn

Show all games | Show last 10 games
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 Paderborn 2 : 0 Regensburg SG 1.99 3.56 3.50
3 2018.08.25 Fürth 2 : 2 Paderborn 2.81 3.24 2.47
4 2018.08.31 Paderborn 2 : 2 Bochum 2.09 3.37 3.46
5 2018.09.16 Köln 3 : 5 Paderborn 1.55 4.17 5.61
6 2018.09.23 Paderborn 4 : 4 Magdeburg FC 1.78 3.76 4.29
7 2018.09.26 St. Pauli 2 : 1 Paderborn 2.17 3.52 3.16
8 2018.09.29 Paderborn 1 : 0 Aue Erzgebirge 1.66 3.86 5.08
9 2018.10.07 Ingolstadt 1 : 2 Paderborn 2.44 3.37 2.74
10 2018.10.21 Paderborn 0 : 0 Berlin Union 2.39 3.34 2.84
11 2018.10.27 Paderborn 3 : 3 Sandhausen 2.01 3.30 3.72
12 2018.11.03 Duisburg 2 : 0 Paderborn 2.88 3.38 2.35
13 2018.11.09 Paderborn 4 : 4 Holstein Kiel 1.95 3.70 3.53
14 2018.11.25 Heidenheim 1.FC 1 : 5 Paderborn 2.41 3.44 2.72
15 2018.11.30 Paderborn 2 : 2 Bielefeld 1.69 3.93 4.59
16 2018.12.07 Hamburg SV 1 : 0 Paderborn 1.70 4.01 4.41
17 2018.12.15 Paderborn 3 : 0 Dresden 1.89 3.74 3.74
18 2018.12.23 Paderborn 6 : 2 Darmstatd 98 1.75 3.74 4.44
19 2019.01.30 Regensburg SG 2 : 0 Paderborn 2.51 3.61 2.55
20 2019.02.02 Paderborn 6 : 0 Fürth 1.47 4.37 6.29
21 2019.02.09 Bochum 1 : 2 Paderborn 2.40 3.43 2.77
22 2019.02.15 Paderborn 3 : 2 Köln 3.17 3.73 2.06
23  2019.02.24 Magdeburg FC - : - Paderborn 2.73 3.42 2.43
24  2019.03.02 Paderborn - : - St. Pauli 1.86 3.59 4.04
25  2019.03.09 Aue Erzgebirge - : - Paderborn - - -


  Season progress graph Form
Home Home 43
Away Season progress graph 28
Overall Season progress graph 43

Holstein Kiel

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2018.08.03 Hamburg SV 0 : 3 Holstein Kiel 1.73 3.65 4.52
2 2018.08.12 Holstein Kiel 1 : 1 Heidenheim 1.FC 1.69 3.83 4.70
3 2018.08.26 Regensburg SG 0 : 0 Holstein Kiel 2.86 3.52 2.33
4 2018.09.03 Holstein Kiel 2 : 1 Magdeburg FC 2.04 3.32 3.65
5 2018.09.15 Fürth 4 : 1 Holstein Kiel 3.02 3.45 2.25
6 2018.09.22 Holstein Kiel 2 : 2 Bochum 2.26 3.55 2.98
7 2018.09.25 Berlin Union 2 : 0 Holstein Kiel 1.92 3.48 3.93
8 2018.09.28 Holstein Kiel 4 : 2 Darmstatd 98 1.93 3.51 3.86
9 2018.10.06 Aue Erzgebirge 2 : 1 Holstein Kiel 3.18 3.13 2.32
10 2018.10.20 Holstein Kiel 1 : 1 Köln 3.77 3.72 1.87
11 2018.10.28 St. Pauli 0 : 1 Holstein Kiel 2.17 3.39 3.26
12 2018.11.03 Holstein Kiel 2 : 2 Ingolstadt 1.94 3.49 3.76
13 2018.11.09 Paderborn 4 : 4 Holstein Kiel 1.95 3.70 3.53
14 2018.11.24 Holstein Kiel 2 : 1 Sandhausen 1.98 3.47 3.59
15 2018.12.02 Duisburg 0 : 4 Holstein Kiel 2.70 3.30 2.52
16 2018.12.09 Dresden 0 : 2 Holstein Kiel 2.63 3.44 2.50
17 2018.12.14 Holstein Kiel 1 : 2 Bielefeld 1.72 3.81 4.48
18 2018.12.23 Holstein Kiel 3 : 1 Hamburg SV 3.29 3.40 2.15
19 2019.01.30 Heidenheim 1.FC 2 : 2 Holstein Kiel 2.48 3.49 2.66
20 2019.02.03 Holstein Kiel 2 : 0 Regensburg SG 2.22 3.61 2.92
21 2019.02.10 Magdeburg FC 1 : 1 Holstein Kiel 2.65 3.40 2.52
22 2019.02.17 Holstein Kiel 2 : 2 Fürth 1.62 3.85 5.27
23  2019.02.23 Bochum - : - Holstein Kiel 2.33 3.34 2.91
24  2019.03.01 Holstein Kiel - : - Berlin Union 2.66 3.29 2.59
25  2019.03.09 Darmstatd 98 - : - Holstein Kiel - - -


  Season progress graph Form
Home Home 29
Away Season progress graph 40
Overall Season progress graph 29

Mutual matches

Date Home Score Away 1 X 2
2018.11.09 Paderborn 4 : 4 Holstein Kiel 1.95 3.70 3.53
2017.03.04 Holstein Kiel 2 : 1 Paderborn 1.54 3.74 5.87
2016.09.11 Paderborn 1 : 3 Holstein Kiel 2.34 3.16 2.85
2005.03.15 Holstein Kiel 0 : 1 Paderborn 2.53 3.22 2.37
2004.08.14 Paderborn 5 : 1 Holstein Kiel 1.65 3.45 4.50
2004.05.08 Paderborn 3 : 1 Holstein Kiel 1.50 3.75 5.65
2003.10.24 Holstein Kiel 1 : 1 Paderborn 2.65 3.25 2.35

Form difference

  Form difference
Home-Away 3
Overall 14
Prediction Draw/no bet

Paderborn

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 25% (3/12) 75% (9/12) 75% (9/12) 25% (3/12)
Away 40% (4/10) 60% (6/10) 50% (5/10) 50% (5/10)
Overall 31.82% (7/22) 68.18% (15/22) 63.64% (14/22) 36.36% (8/22)
To nil
Win to nil 18.18% (4/22)
Lose to nil 18.18% (4/22)

Winning margin
By 1 goal 18.18% (4/22)
By 2 goals or more 27.27% (6/22)

Goals scored/game 2.41
Goals received/game 1.59
Goals/game 4.00
Clean sheet 22.73% (5/22)

Nr of goals in one match
0 1 2 3 4 5 6+
1 3 3 4 3 1 7

  Scored percent Scored against percent
Home 91.67% (11/12) 58.33% (7/12)
Away 60% (6/10) 100% (10/10)

Halftime/Fulltime
1/1 1/X 1/2 X/1 X/X X/2 2/1 2/X 2/2
3 2 0 2 2 0 1 2 0

  Halftime Final
Won 36.36% (8/22) 45.45% (10/22)
Ties 40.91% (9/22) 31.82% (7/22)
Lost 22.73% (5/22) 22.73% (5/22)

Number of goals in halves
First 35.23% (31/88)
Second 64.77% (57/88)

Holstein Kiel

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 27.27% (3/11) 72.73% (8/11) 72.73% (8/11) 27.27% (3/11)
Away 45.45% (5/11) 54.55% (6/11) 63.64% (7/11) 36.36% (4/11)
Overall 36.36% (8/22) 63.64% (14/22) 68.18% (15/22) 31.82% (7/22)
To nil
Win to nil 22.73% (5/22)
Lose to nil 4.55% (1/22)

Winning margin
By 1 goal 13.64% (3/22)
By 2 goals or more 27.27% (6/22)

Goals scored/game 1.86
Goals received/game 1.36
Goals/game 3.23
Clean sheet 27.27% (6/22)

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

  Scored percent Scored against percent
Home 100% (11/11) 90.91% (10/11)
Away 81.82% (9/11) 54.55% (6/11)

Halftime/Fulltime
1/1 1/X 1/2 X/1 X/X X/2 2/1 2/X 2/2
4 0 0 1 3 0 0 2 1

  Halftime Final
Won 27.27% (6/22) 40.91% (9/22)
Ties 50% (11/22) 40.91% (9/22)
Lost 22.73% (5/22) 18.18% (4/22)

Number of goals in halves
First 38.03% (27/71)
Second 61.97% (44/71)

League tables

Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Hamburg SV 22 13 5 4 30:24 +6 44 9 13 =1
2 Berlin Union 22 10 10 2 36:20 +16 40 13 9 +2
3 Köln 21 12 3 6 53:28 +25 39 7 14 -1
4 Heidenheim 1.FC 22 10 8 4 37:28 +9 38 10 12 =1
5 Paderborn 22 10 7 5 53:35 +18 37 7 15 +3
6 St. Pauli 22 11 4 7 36:32 +4 37 9 13 -2
7 Holstein Kiel 22 9 9 4 41:30 +11 36 8 14 =2
8 Bochum 22 8 6 8 32:31 +1 30 9 13 -3
9 Regensburg SG 22 7 9 6 33:33 0 30 11 11 =1
10 Fürth 22 7 7 8 24:40 -16 28 11 11 =1
11 Bielefeld 22 7 6 9 32:34 -2 27 9 13 -1
12 Dresden 22 7 5 10 26:33 -7 26 13 9 =1
13 Aue Erzgebirge 21 7 4 10 27:28 -1 25 9 12 +1
14 Darmstatd 98 22 6 5 11 29:40 -11 23 9 13 =1
15 Magdeburg FC 22 4 9 9 26:37 -11 21 10 12 +1
16 Ingolstadt 22 4 7 11 23:37 -14 19 10 12 +2
17 Sandhausen 22 3 8 11 23:32 -9 17 11 11 =1
18 Duisburg 22 4 4 14 22:41 -19 16 9 13 -2
Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Berlin Union 11 8 3 0 23:5 +18 27 7 4 +5
2 Paderborn 12 6 6 0 36:19 +17 24 3 9 +4
3 Hamburg SV 11 6 3 2 13:13 0 21 5 6 +3
4 Heidenheim 1.FC 11 6 3 2 20:14 +6 21 5 6 =1
5 St. Pauli 11 6 2 3 22:15 +7 20 5 6 -1
6 Köln 11 6 2 3 32:16 +16 20 2 9 +1
7 Holstein Kiel 11 5 5 1 22:15 +7 20 3 8 =1
8 Bochum 11 6 1 4 18:13 +5 19 5 6 -1
9 Darmstatd 98 11 5 2 4 16:13 +3 17 4 7 -1
10 Fürth 10 4 4 2 16:15 +1 16 4 6 +1
11 Aue Erzgebirge 10 4 3 3 13:13 0 15 4 6 -1
12 Dresden 11 4 2 5 15:14 +1 14 7 4 =1
13 Regensburg SG 10 3 4 3 10:13 -3 13 6 4 -1
14 Sandhausen 11 2 5 4 11:11 0 11 6 5 =1
15 Bielefeld 11 3 2 6 17:20 -3 11 4 7 -1
16 Magdeburg FC 11 1 7 3 12:14 -2 10 7 4 =1
17 Ingolstadt 12 2 4 6 13:17 -4 10 6 6 +1
18 Duisburg 11 2 0 9 11:23 -12 6 4 7 -1
Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Hamburg SV 11 7 2 2 17:11 +6 23 4 7 =1
2 Köln 10 6 1 3 21:12 +9 19 5 5 -2
3 St. Pauli 11 5 2 4 14:17 -3 17 4 7 -2
4 Regensburg SG 12 4 5 3 23:20 +3 17 5 7 =1
5 Heidenheim 1.FC 11 4 5 2 17:14 +3 17 5 6 +2
6 Bielefeld 11 4 4 3 15:14 +1 16 5 6 +3
7 Holstein Kiel 11 4 4 3 19:15 +4 16 5 6 =2
8 Paderborn 10 4 1 5 17:16 +1 13 4 6 +1
9 Berlin Union 11 2 7 2 13:15 -2 13 6 5 +1
10 Fürth 12 3 3 6 8:25 -17 12 7 5 =1
11 Dresden 11 3 3 5 11:19 -8 12 6 5 -2
12 Magdeburg FC 11 3 2 6 14:23 -9 11 3 8 +2
13 Bochum 11 2 5 4 14:18 -4 11 4 7 -2
14 Aue Erzgebirge 11 3 1 7 14:15 -1 10 5 6 +1
15 Duisburg 11 2 4 5 11:18 -7 10 5 6 -3
16 Ingolstadt 10 2 3 5 10:20 -10 9 4 6 +2
17 Sandhausen 11 1 3 7 12:21 -9 6 5 6 -2
18 Darmstatd 98 11 1 3 7 13:27 -14 6 5 6 =1

Here you can check how Paderborn compares to Holstein Kiel 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.