Bundesliga · 2018/19
2019-04-07
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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
DDLDLLWLWW
3W 3D 4L · 1.20 PPM
Hoffenheim
WWDDDWDDLD
3W 6D 1L · 1.50 PPM

Goals

1.70
Scored
2.40
1.60
Conceded
1.80
80%
Over 2.5
70%
80%
BTTS
100%

By half

1.40
1H goals
1.90
1.90
2H goals
2.30
90%
Goal in 2H
100%

Corners

4.10N=10
For
5.10N=10
4.60
Against
5.40
8.70
Total
10.50
Signals

Key historical patterns

strongOver 2.5 goals

8/10 home-side sample · 7/10 away-side sample.

very strongBoth teams scored

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

very strongAt least one second-half goal

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

Team history

Goals

N=10 N=10
1.70
Goals scored
2.40
1.60
Goals conceded
1.80
3.30
Total goals
4.20
90%9/10
Over 1.5
100%10/10
80%8/10
Over 2.5
70%7/10
50%5/10
Over 3.5
70%7/10
80%8/10
BTTS
100%10/10
Matchup

Augsburg attack

1.70goals per match
Hoffenheim conceded1.80
Matchup

Hoffenheim attack

2.40goals per match
Augsburg conceded1.60
Timing

First & second half

N=10 N=10
0.70
1H goals scored
1.00
0.70
1H goals conceded
0.90
90%9/10
Over 0.5 1H
100%10/10
40%4/10
Leading at HT
50%5/10
1.00
2H goals scored
1.40
0.90
2H goals conceded
0.90
90%9/10
Over 0.5 2H
100%10/10
60%6/10
More goals in 2H
40%4/10
Set pieces

Corners

N=10 N=10
4.10N=10
Corners for
5.10N=10
4.60
Corners against
5.40
8.70
Match total
10.50
50%5/10
Over 8.5
70%7/10
50%5/10
Over 9.5
60%6/10
50%5/10
Team over 4.5
50%5/10
Advanced

Cards, fouls & shots

Yellow cards

1.60N=10
For
2.00N=10
4.00
Match total
3.00
50%5/10
Over 3.5
20%2/10

Fouls

13.80N=10
Committed
14.10N=10
25.60
Match total
23.80

Shots

14.60N=10
Shots
15.40N=10
5.70
On target
6.80
12%
Conversion
16%
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