Bundesliga · 2015/16
2016-03-20
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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

Augsburg
LLDLDWDLDD
1W 5D 4L · 0.80 PPM
Dortmund
LWWLWLWDWW
6W 1D 3L · 1.90 PPM

Goals

1.30
Scored
1.60
1.90
Conceded
1.30
70%
Over 2.5
60%
70%
BTTS
60%

By half

1.20
1H goals
1.30
2.00
2H goals
1.60
70%
Goal in 2H
90%

Corners

4.50N=10
For
4.40N=10
4.40
Against
4.60
8.90
Total
9.00
Signals

Key historical patterns

moderateOver 2.5 goals

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

moderateBoth teams scored

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

strongAt least one second-half goal

7/10 home-side sample · 9/10 away-side sample.

Team history

Goals

N=10 N=10
1.30
Goals scored
1.60
1.90
Goals conceded
1.30
3.20
Total goals
2.90
80%8/10
Over 1.5
80%8/10
70%7/10
Over 2.5
60%6/10
50%5/10
Over 3.5
40%4/10
70%7/10
BTTS
60%6/10
Matchup

Augsburg attack

1.30goals per match
Dortmund conceded1.30
Matchup

Dortmund attack

1.60goals per match
Augsburg conceded1.90
Timing

First & second half

N=10 N=10
0.50
1H goals scored
0.80
0.70
1H goals conceded
0.50
70%7/10
Over 0.5 1H
80%8/10
20%2/10
Leading at HT
60%6/10
0.80
2H goals scored
0.80
1.20
2H goals conceded
0.80
70%7/10
Over 0.5 2H
90%9/10
50%5/10
More goals in 2H
40%4/10
Set pieces

Corners

N=10 N=10
4.50N=10
Corners for
4.40N=10
4.40
Corners against
4.60
8.90
Match total
9.00
50%5/10
Over 8.5
60%6/10
50%5/10
Over 9.5
40%4/10
40%4/10
Team over 4.5
40%4/10
Advanced

Cards, fouls & shots

Yellow cards

1.60N=10
For
1.10N=10
3.70
Match total
3.10
60%6/10
Over 3.5
40%4/10

Fouls

13.80N=10
Committed
12.90N=10
26.20
Match total
27.00

Shots

17.20N=10
Shots
12.70N=10
5.10
On target
4.70
8%
Conversion
13%
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