2. Bundesliga · 2018/19
2019-01-29
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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 yetMagdeburg: 9/10 · Erzgebirge Aue: 9/10 in the selected Home / Away context. Stats below use only 2018/19 by default.
Include previous seasons
Quick read

Match snapshot

Home vs Away · Last 10

Form

Magdeburg
LDDDDLLDD
0W 6D 3L · 0.67 PPM
Erzgebirge Aue
LLLWLDLLW
2W 1D 6L · 0.78 PPM

Goals

1.11
Scored
1.33
1.44
Conceded
1.44
44%
Over 2.5
56%
67%
BTTS
56%

By half

1.11
1H goals
1.11
1.44
2H goals
1.67
67%
Goal in 2H
78%

Corners

4.44N=9
For
3.56N=9
3.56
Against
7.33
8.00
Total
10.89
Signals

Key historical patterns

moderateAt least one second-half goal

6/9 home-side sample · 7/9 away-side sample.

Team history

Goals

N=9 N=9
1.11
Goals scored
1.33
1.44
Goals conceded
1.44
2.56
Total goals
2.78
67%6/9
Over 1.5
67%6/9
44%4/9
Over 2.5
56%5/9
33%3/9
Over 3.5
33%3/9
67%6/9
BTTS
56%5/9
Matchup

Magdeburg attack

1.11goals per match
Erzgebirge Aue conceded1.44
Matchup

Erzgebirge Aue attack

1.33goals per match
Magdeburg conceded1.44
Timing

First & second half

N=9 N=9
0.44
1H goals scored
0.56
0.67
1H goals conceded
0.56
67%6/9
Over 0.5 1H
78%7/9
11%1/9
Leading at HT
22%2/9
0.67
2H goals scored
0.78
0.78
2H goals conceded
0.89
67%6/9
Over 0.5 2H
78%7/9
33%3/9
More goals in 2H
67%6/9
Set pieces

Corners

N=9 N=9
4.44N=9
Corners for
3.56N=9
3.56
Corners against
7.33
8.00
Match total
10.89
44%4/9
Over 8.5
44%4/9
33%3/9
Over 9.5
44%4/9
44%4/9
Team over 4.5
33%3/9
Advanced

Cards, fouls & shots

Yellow cards

1.89N=9
For
2.78N=9
4.67
Match total
5.56
78%7/9
Over 3.5
89%8/9

Fouls

11.22N=9
Committed
15.22N=9
27.00
Match total
28.44

Shots

12.44N=9
Shots
10.67N=9
4.11
On target
4.33
9%
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