Bundesliga · 2012/13
2013-01-20
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Average market odds. Implied probabilities are normalized to remove the market margin.

Sample
Context
Past seasons
Current-season sample is not complete yetFortuna Dusseldorf: 9/10 · Augsburg: 8/10 in the selected Home / Away context. Stats below use only 2012/13 by default.
Include previous seasons
Quick read

Match snapshot

Home vs Away · Last 10

Form

Fortuna Dusseldorf
DDDLLDWWW
3W 4D 2L · 1.44 PPM
Augsburg
LLDDLLLD
0W 3D 5L · 0.38 PPM

Goals

1.33
Scored
0.63
1.44
Conceded
1.75
56%
Over 2.5
38%
44%
BTTS
50%

By half

1.11
1H goals
1.25
1.67
2H goals
1.13
67%
Goal in 2H
63%

Corners

3.78N=9
For
4.75N=8
4.22
Against
4.13
8.00
Total
8.88
Signals

Key historical patterns

moderateAt least one second-half goal

6/9 home-side sample · 5/8 away-side sample.

Team history

Goals

N=9 N=8
1.33
Goals scored
0.63
1.44
Goals conceded
1.75
2.78
Total goals
2.38
78%7/9
Over 1.5
75%6/8
56%5/9
Over 2.5
38%3/8
44%4/9
Over 3.5
25%2/8
44%4/9
BTTS
50%4/8
Matchup

Fortuna Dusseldorf attack

1.33goals per match
Augsburg conceded1.75
Matchup

Augsburg attack

0.63goals per match
Fortuna Dusseldorf conceded1.44
Timing

First & second half

N=9 N=8
0.56
1H goals scored
0.38
0.56
1H goals conceded
0.88
67%6/9
Over 0.5 1H
75%6/8
33%3/9
Leading at HT
13%1/8
0.78
2H goals scored
0.25
0.89
2H goals conceded
0.88
67%6/9
Over 0.5 2H
63%5/8
33%3/9
More goals in 2H
13%1/8
Set pieces

Corners

N=9 N=8
3.78N=9
Corners for
4.75N=8
4.22
Corners against
4.13
8.00
Match total
8.88
33%3/9
Over 8.5
50%4/8
11%1/9
Over 9.5
50%4/8
44%4/9
Team over 4.5
63%5/8
Advanced

Cards, fouls & shots

Yellow cards

1.89N=9
For
2.00N=8
3.67
Match total
3.13
67%6/9
Over 3.5
38%3/8

Fouls

14.33N=9
Committed
18.38N=8
30.00
Match total
36.00

Shots

8.44N=9
Shots
11.00N=8
2.67
On target
4.13
16%
Conversion
6%
Historical scope
History
This match does not have enough average market data to build a similarity profile.
Market history

Similar historical matches

Not enough comparable matchesStatus: insufficient_market_data. The site does not force a percentage when the historical sample is insufficient.
Half-time score
The half-time explorer cannot be built because the target match has insufficient market data.
What if?

If half-time is 0-0

Scenario unavailableStatus: insufficient_market_data