Bundesliga · 2015/16
2016-05-07
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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

M'gladbach
WWWLWWWWWW
9W 0D 1L · 2.70 PPM
Leverkusen
WLWDWLDWWW
6W 2D 2L · 2.00 PPM

Goals

3.00
Scored
1.90
0.90
Conceded
1.30
90%
Over 2.5
60%
60%
BTTS
70%

By half

1.20
1H goals
1.60
2.70
2H goals
1.60
90%
Goal in 2H
90%

Corners

4.70N=10
For
6.60N=10
4.40
Against
3.90
9.10
Total
10.50
Signals

Key historical patterns

moderateOver 2.5 goals

9/10 home-side sample · 6/10 away-side sample.

moderateBoth teams scored

6/10 home-side sample · 7/10 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
3.00
Goals scored
1.90
0.90
Goals conceded
1.30
3.90
Total goals
3.20
90%9/10
Over 1.5
90%9/10
90%9/10
Over 2.5
60%6/10
70%7/10
Over 3.5
40%4/10
60%6/10
BTTS
70%7/10
Matchup

M'gladbach attack

3.00goals per match
Leverkusen conceded1.30
Matchup

Leverkusen attack

1.90goals per match
M'gladbach conceded0.90
Timing

First & second half

N=10 N=10
1.00
1H goals scored
0.60
0.20
1H goals conceded
1.00
90%9/10
Over 0.5 1H
90%9/10
70%7/10
Leading at HT
30%3/10
2.00
2H goals scored
1.30
0.70
2H goals conceded
0.30
90%9/10
Over 0.5 2H
90%9/10
80%8/10
More goals in 2H
40%4/10
Set pieces

Corners

N=10 N=10
4.70N=10
Corners for
6.60N=10
4.40
Corners against
3.90
9.10
Match total
10.50
50%5/10
Over 8.5
90%9/10
40%4/10
Over 9.5
70%7/10
30%3/10
Team over 4.5
70%7/10
Advanced

Cards, fouls & shots

Yellow cards

1.10N=10
For
2.20N=10
3.30
Match total
4.50
30%3/10
Over 3.5
60%6/10

Fouls

12.50N=10
Committed
16.40N=10
26.70
Match total
31.60

Shots

16.10N=10
Shots
14.00N=10
7.00
On target
5.60
19%
Conversion
14%
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