2. Bundesliga · 2018/19
2019-05-19
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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

Darmstadt
WLDWLWWDDW
5W 3D 2L · 1.80 PPM
Erzgebirge Aue
LLWLWWLLDW
4W 1D 5L · 1.30 PPM

Goals

1.50
Scored
1.70
1.20
Conceded
1.40
60%
Over 2.5
70%
70%
BTTS
60%

By half

0.80
1H goals
1.10
1.90
2H goals
2.00
90%
Goal in 2H
90%

Corners

6.10N=10
For
2.50N=10
3.90
Against
6.30
10.00
Total
8.80
Signals

Key historical patterns

moderateOver 2.5 goals

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

moderateBoth teams scored

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

very strongAt least one second-half goal

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

Team history

Goals

N=10 N=10
1.50
Goals scored
1.70
1.20
Goals conceded
1.40
2.70
Total goals
3.10
90%9/10
Over 1.5
80%8/10
60%6/10
Over 2.5
70%7/10
20%2/10
Over 3.5
30%3/10
70%7/10
BTTS
60%6/10
Matchup

Darmstadt attack

1.50goals per match
Erzgebirge Aue conceded1.40
Matchup

Erzgebirge Aue attack

1.70goals per match
Darmstadt conceded1.20
Timing

First & second half

N=10 N=10
0.40
1H goals scored
0.60
0.40
1H goals conceded
0.50
60%6/10
Over 0.5 1H
80%8/10
30%3/10
Leading at HT
40%4/10
1.10
2H goals scored
1.10
0.80
2H goals conceded
0.90
90%9/10
Over 0.5 2H
90%9/10
60%6/10
More goals in 2H
60%6/10
Set pieces

Corners

N=10 N=10
6.10N=10
Corners for
2.50N=10
3.90
Corners against
6.30
10.00
Match total
8.80
70%7/10
Over 8.5
30%3/10
50%5/10
Over 9.5
30%3/10
70%7/10
Team over 4.5
10%1/10
Advanced

Cards, fouls & shots

Yellow cards

1.50N=10
For
2.50N=10
4.00
Match total
4.50
50%5/10
Over 3.5
70%7/10

Fouls

12.30N=10
Committed
14.30N=10
27.50
Match total
26.50

Shots

12.80N=10
Shots
11.50N=10
3.90
On target
4.40
12%
Conversion
15%
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