2. Bundesliga · 2006/07
2007-03-02
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Average market odds. Implied probabilities are normalized to remove the market margin.

Sample
Context
Past seasons
Quick read

Match snapshot

Home vs Away · Last 10

Form

Greuther Furth
LWLWDLWWWD
5W 2D 3L · 1.70 PPM
Augsburg
LDDLDLWDDD
1W 6D 3L · 0.90 PPM

Goals

1.80
Scored
1.10
1.40
Conceded
1.40
60%
Over 2.5
40%
60%
BTTS
60%

By half

1.00
1H goals
1.50
2.20
2H goals
1.00
80%
Goal in 2H
60%

Corners

6.00N=10
For
2.80N=10
3.70
Against
5.90
9.70
Total
8.70
Signals

Key historical patterns

moderateBoth teams scored

6/10 home-side sample · 6/10 away-side sample.

moderateAt least one second-half goal

8/10 home-side sample · 6/10 away-side sample.

moderateOver 8.5 corners

7/10 home-side sample · 6/10 away-side sample.

Team history

Goals

N=10 N=10
1.80
Goals scored
1.10
1.40
Goals conceded
1.40
3.20
Total goals
2.50
80%8/10
Over 1.5
80%8/10
60%6/10
Over 2.5
40%4/10
40%4/10
Over 3.5
30%3/10
60%6/10
BTTS
60%6/10
Matchup

Greuther Furth attack

1.80goals per match
Augsburg conceded1.40
Matchup

Augsburg attack

1.10goals per match
Greuther Furth conceded1.40
Timing

First & second half

N=10 N=10
0.70
1H goals scored
0.70
0.30
1H goals conceded
0.80
70%7/10
Over 0.5 1H
70%7/10
40%4/10
Leading at HT
30%3/10
1.10
2H goals scored
0.40
1.10
2H goals conceded
0.60
80%8/10
Over 0.5 2H
60%6/10
60%6/10
More goals in 2H
20%2/10
Set pieces

Corners

N=10 N=10
6.00N=10
Corners for
2.80N=10
3.70
Corners against
5.90
9.70
Match total
8.70
70%7/10
Over 8.5
60%6/10
50%5/10
Over 9.5
50%5/10
70%7/10
Team over 4.5
0%0/10
Advanced

Cards, fouls & shots

Yellow cards

1.60N=10
For
2.00N=10
3.80
Match total
3.70
50%5/10
Over 3.5
40%4/10

Fouls

20.20N=10
Committed
21.40N=10
42.20
Match total
39.00

Shots

14.50N=10
Shots
10.50N=10
8.70
On target
6.50
12%
Conversion
10%
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