Bundesliga · 2018/19
2019-02-23
1
X
2

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

Freiburg
DWDWLDWDLD
3W 5D 2L · 1.40 PPM
Augsburg
LDLWLLLDLL
1W 2D 7L · 0.50 PPM

Goals

1.80
Scored
1.00
1.60
Conceded
2.00
60%
Over 2.5
60%
70%
BTTS
60%

By half

1.50
1H goals
1.00
1.90
2H goals
2.00
80%
Goal in 2H
80%

Corners

4.60N=10
For
3.80N=10
4.90
Against
5.00
9.50
Total
8.80
Signals

Key historical patterns

moderateOver 2.5 goals

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

moderateBoth teams scored

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

very strongAt least one second-half goal

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

Team history

Goals

N=10 N=10
1.80
Goals scored
1.00
1.60
Goals conceded
2.00
3.40
Total goals
3.00
80%8/10
Over 1.5
80%8/10
60%6/10
Over 2.5
60%6/10
50%5/10
Over 3.5
30%3/10
70%7/10
BTTS
60%6/10
Matchup

Freiburg attack

1.80goals per match
Augsburg conceded2.00
Matchup

Augsburg attack

1.00goals per match
Freiburg conceded1.60
Timing

First & second half

N=10 N=10
0.80
1H goals scored
0.40
0.70
1H goals conceded
0.60
80%8/10
Over 0.5 1H
50%5/10
20%2/10
Leading at HT
20%2/10
1.00
2H goals scored
0.60
0.90
2H goals conceded
1.40
80%8/10
Over 0.5 2H
80%8/10
40%4/10
More goals in 2H
70%7/10
Set pieces

Corners

N=10 N=10
4.60N=10
Corners for
3.80N=10
4.90
Corners against
5.00
9.50
Match total
8.80
50%5/10
Over 8.5
60%6/10
40%4/10
Over 9.5
40%4/10
50%5/10
Team over 4.5
30%3/10
Advanced

Cards, fouls & shots

Yellow cards

1.40N=10
For
2.40N=10
3.60
Match total
4.00
40%4/10
Over 3.5
50%5/10

Fouls

12.40N=10
Committed
14.90N=10
24.40
Match total
25.10

Shots

14.10N=10
Shots
12.30N=10
5.80
On target
3.60
13%
Conversion
8%
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