Sun, 2019 March 24. @ 08:32 (Europe/Berlin) | Change timezone

Gamba


Game Date Home Score Away 1 X 2
1 2019.02.23 Gamba 2 : 3 Marinos 2.41 3.38 2.74
2 2019.03.02 Shimizu 2 : 4 Gamba 2.16 3.40 3.10
3 2019.03.09 Gamba 2 : 3 Nagoja 2.47 3.40 2.69
4 2019.03.17 Kawasaki F. 0 : 1 Gamba 1.51 4.22 5.60
5  2019.03.30 Gamba - : - Vissel Kobe - - -
6  2019.04.06 Hiroshima - : - Gamba - - -
7  2019.04.14 Gamba - : - Urawa - - -


  Season progress graph Form
Home Home 0
Away Season progress graph 36
Overall Season progress graph 32

Tokyo


Game Date Home Score Away 1 X 2
1 2019.02.23 Kawasaki F. 0 : 0 Tokyo 1.70 3.61 4.74
2 2019.03.02 Shonan Bellmare 2 : 3 Tokyo 3.71 3.14 2.02
3 2019.03.10 Tokyo 2 : 0 Sagan Tosu 1.67 3.49 5.25
4 2019.03.17 Tokyo 1 : 0 Nagoja 2.20 3.32 3.14
5  2019.03.30 Urawa - : - Tokyo - - -
6  2019.04.06 Tokyo - : - Shimizu - - -
7  2019.04.14 Tokyo - : - Kashima - - -


  Season progress graph Form
Home Home 27
Away Season progress graph 28
Overall Season progress graph 43

Mutual matches

Date Home Score Away 1 X 2
2018.08.10 Gamba 2 : 1 Tokyo 3.40 3.17 2.04
2018.03.31 Tokyo 3 : 2 Gamba 2.11 3.04 3.36
2017.12.02 Tokyo 0 : 0 Gamba 2.36 3.21 2.76
2017.03.11 Gamba 3 : 0 Tokyo - - -
2016.09.25 Gamba 3 : 3 Tokyo 1.84 3.38 3.93
2016.05.29 Tokyo 1 : 0 Gamba 2.50 3.22 2.62
2015.08.16 Tokyo 2 : 1 Gamba 3.10 3.29 2.14
2015.03.07 Gamba 2 : 2 Tokyo 1.94 3.38 3.56
2014.10.26 Gamba 2 : 1 Tokyo 1.88 3.44 3.65
2014.05.17 Tokyo 3 : 0 Gamba 2.24 3.26 2.93
2012.11.24 Gamba 2 : 2 Tokyo 1.49 4.10 5.40
2012.07.07 Tokyo 3 : 2 Gamba 2.19 3.31 3.02
2010.11.06 Tokyo 1 : 1 Gamba 2.98 3.32 2.10
2010.04.24 Gamba 2 : 0 Tokyo 1.91 3.29 3.55
2009.09.19 Tokyo 0 : 0 Gamba 2.78 3.22 2.25
2009.04.29 Gamba 4 : 2 Tokyo 1.60 3.58 4.95
2008.11.08 Gamba 1 : 3 Tokyo 1.86 3.26 3.66
2008.07.16 Tokyo 1 : 1 Gamba 2.90 3.21 2.24
2007.11.18 Tokyo 1 : 1 Gamba 5.02 3.50 1.60
2007.06.23 Gamba 6 : 2 Tokyo 1.36 4.12 7.75
2006.10.22 Tokyo 3 : 2 Gamba 4.88 3.46 1.62
2006.04.21 Gamba 1 : 0 Tokyo 1.60 3.50 4.80
2005.10.30 Tokyo 2 : 1 Gamba 2.83 3.20 2.20
2005.04.23 Gamba 5 : 3 Tokyo 2.13 3.02 3.13
2004.11.27 Gamba 1 : 2 Tokyo 1.65 3.40 4.50
2004.06.12 Tokyo 2 : 1 Gamba - - -
2003.11.14 Gamba 1 : 0 Tokyo 2.35 2.95 2.65
2003.05.04 Tokyo 1 : 0 Gamba 2.45 3.10 2.60

Form difference

  Form difference
Home-Away -28
Overall -11
Prediction Home Lose

Gamba

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 0% (0/2) 100% (2/2) 0% (0/2) 100% (2/2)
Away 50% (1/2) 50% (1/2) 50% (1/2) 50% (1/2)
Overall 25% (1/4) 75% (3/4) 25% (1/4) 75% (3/4)
To nil
Win to nil 25% (1/4)
Lose to nil 0% (0/4)

Winning margin
By 1 goal 25% (1/4)
By 2 goals or more 25% (1/4)

Goals scored/game 2.25
Goals received/game 2.00
Goals/game 4.25
Clean sheet 25% (1/4)

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

  Scored percent Scored against percent
Home 100% (2/2) 100% (2/2)
Away 100% (2/2) 50% (1/2)

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

  Halftime Final
Won 0% (0/4) 50% (2/4)
Ties 50% (2/4) 0% (0/4)
Lost 50% (2/4) 50% (2/4)

Number of goals in halves
First 52.94% (9/17)
Second 47.06% (8/17)

Tokyo

  Under 2.5 percentage Over 2.5 percentage Nr of goals even Nr of goals odd
Home 100% (2/2) 0% (0/2) 50% (1/2) 50% (1/2)
Away 50% (1/2) 50% (1/2) 50% (1/2) 50% (1/2)
Overall 75% (3/4) 25% (1/4) 50% (2/4) 50% (2/4)
To nil
Win to nil 50% (2/4)
Lose to nil 0% (0/4)

Winning margin
By 1 goal 50% (2/4)
By 2 goals or more 25% (1/4)

Goals scored/game 1.50
Goals received/game 0.50
Goals/game 2.00
Clean sheet 75% (3/4)

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

  Scored percent Scored against percent
Home 100% (2/2) 0% (0/2)
Away 50% (1/2) 50% (1/2)

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

  Halftime Final
Won 25% (1/4) 75% (3/4)
Ties 75% (3/4) 25% (1/4)
Lost 0% (0/4) 0% (0/4)

Number of goals in halves
First 37.5% (3/8)
Second 62.5% (5/8)

League tables

Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Tokyo 4 3 1 0 6:2 +4 10 3 1 +3
2 Nagoja 4 3 0 1 9:3 +6 9 2 2 -1
3 Trinita Oita 4 3 0 1 6:3 +3 9 2 2 +2
4 Hiroshima 4 2 2 0 3:1 +2 8 4 0 +2
5 Kashima 4 2 1 1 6:4 +2 7 2 2 +2
6 Vissel Kobe 4 2 1 1 5:3 +2 7 3 1 =1
7 Marinos 4 2 1 1 7:7 0 7 1 3 -1
8 Urawa 4 2 1 1 3:3 0 7 3 1 +2
9 Gamba 4 2 0 2 9:8 +1 6 1 3 +1
10 Sapporo 4 2 0 2 8:7 +1 6 2 2 -1
11 Shonan Bellmare 4 2 0 2 6:5 +1 6 2 2 +1
12 Matsumoto Yamaga 4 1 1 2 2:3 -1 4 4 0 -2
13 Kawasaki F. 4 0 3 1 3:4 -1 3 3 1 -1
14 Cerezo 4 1 0 3 2:5 -3 3 3 1 -3
15 Sagan Tosu 4 1 0 3 1:7 -6 3 3 1 +1
16 Jubilo 4 0 2 2 2:4 -2 2 3 1 -2
17 Shimizu 4 0 2 2 6:11 -5 2 2 2 =1
18 Vegalta Sendai 4 0 1 3 3:7 -4 1 1 3 -3
Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Shonan Bellmare 3 2 0 1 6:4 +2 6 1 2 +1
2 Tokyo 2 2 0 0 3:0 +3 6 2 0 +2
3 Hiroshima 3 1 2 0 2:1 +1 5 3 0 +1
4 Vissel Kobe 2 1 1 0 2:1 +1 4 2 0 =1
5 Marinos 2 1 1 0 4:3 +1 4 0 2 =1
6 Sapporo 2 1 0 1 6:5 +1 3 0 2 -1
7 Nagoja 1 1 0 0 2:0 +2 3 1 0 +1
8 Kashima 2 1 0 1 2:2 0 3 1 1 +1
9 Sagan Tosu 2 1 0 1 1:4 -3 3 1 1 +1
10 Trinita Oita 2 1 0 1 2:1 +1 3 2 0 +1
11 Cerezo 3 1 0 2 2:3 -1 3 2 1 -2
12 Kawasaki F. 3 0 2 1 1:2 -1 2 3 0 -1
13 Jubilo 2 0 1 1 2:3 -1 1 1 1 -1
14 Vegalta Sendai 2 0 1 1 1:3 -2 1 1 1 -1
15 Shimizu 1 0 0 1 2:4 -2 0 0 1 -1
16 Gamba 2 0 0 2 4:6 -2 0 0 2 -2
17 Urawa 1 0 0 1 0:2 -2 0 1 0 -1
18 Matsumoto Yamaga 1 0 0 1 0:1 -1 0 1 0 -1
Pos Name Pld W D L GF:GA GD Pts U 2.5 O 2.5 Streak
1 Urawa 3 2 1 0 3:1 +2 7 2 1 +2
2 Nagoja 3 2 0 1 7:3 +4 6 1 2 -1
3 Gamba 2 2 0 0 5:2 +3 6 1 1 +2
4 Trinita Oita 2 2 0 0 4:2 +2 6 0 2 +2
5 Kashima 2 1 1 0 4:2 +2 4 1 1 +1
6 Tokyo 2 1 1 0 3:2 +1 4 1 1 +1
7 Matsumoto Yamaga 3 1 1 1 2:2 0 4 3 0 -1
8 Vissel Kobe 2 1 0 1 3:2 +1 3 1 1 +1
9 Sapporo 2 1 0 1 2:2 0 3 2 0 +1
10 Marinos 2 1 0 1 3:4 -1 3 1 1 -1
11 Hiroshima 1 1 0 0 1:0 +1 3 1 0 +1
12 Shimizu 3 0 2 1 4:7 -3 2 2 1 =1
13 Jubilo 2 0 1 1 0:1 -1 1 2 0 -1
14 Kawasaki F. 1 0 1 0 2:2 0 1 0 1 =1
15 Shonan Bellmare 1 0 0 1 0:1 -1 0 1 0 -1
16 Vegalta Sendai 2 0 0 2 2:4 -2 0 0 2 -2
17 Sagan Tosu 2 0 0 2 0:3 -3 0 2 0 -2
18 Cerezo 1 0 0 1 0:2 -2 0 1 0 -1

Here you can check how Gamba compares to Tokyo by stats. The data is calculated based on matches from J League. This can be very useful in predicting the outcome of the next match.