Serie B · 2018/19
2019-03-10
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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

Ascoli
WWLWDDWLLD
4W 3D 3L · 1.50 PPM
Livorno
DLLLLDWDLL
1W 3D 6L · 0.60 PPM

Goals

1.60
Scored
1.00
1.70
Conceded
1.70
60%
Over 2.5
40%
70%
BTTS
60%

By half

1.40
1H goals
1.30
1.90
2H goals
1.40
90%
Goal in 2H
70%

Corners

4.90N=10
For
4.90N=10
4.90
Against
6.50
9.80
Total
11.40
Signals

Key historical patterns

moderateBoth teams scored

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

strongAt least one second-half goal

9/10 home-side sample · 7/10 away-side sample.

very strongOver 8.5 corners

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

Team history

Goals

N=10 N=10
1.60
Goals scored
1.00
1.70
Goals conceded
1.70
3.30
Total goals
2.70
80%8/10
Over 1.5
80%8/10
60%6/10
Over 2.5
40%4/10
50%5/10
Over 3.5
30%3/10
70%7/10
BTTS
60%6/10
Matchup

Ascoli attack

1.60goals per match
Livorno conceded1.70
Matchup

Livorno attack

1.00goals per match
Ascoli conceded1.70
Timing

First & second half

N=10 N=10
0.60
1H goals scored
0.60
0.80
1H goals conceded
0.70
60%6/10
Over 0.5 1H
90%9/10
20%2/10
Leading at HT
20%2/10
1.00
2H goals scored
0.40
0.90
2H goals conceded
1.00
90%9/10
Over 0.5 2H
70%7/10
70%7/10
More goals in 2H
50%5/10
Set pieces

Corners

N=10 N=10
4.90N=10
Corners for
4.90N=10
4.90
Corners against
6.50
9.80
Match total
11.40
80%8/10
Over 8.5
80%8/10
60%6/10
Over 9.5
70%7/10
60%6/10
Team over 4.5
40%4/10
Advanced

Cards, fouls & shots

Yellow cards

3.40N=10
For
3.00N=10
6.30
Match total
5.00
100%10/10
Over 3.5
100%10/10

Fouls

14.70N=10
Committed
17.80N=10
34.20
Match total
32.00

Shots

14.20N=10
Shots
10.00N=10
5.20
On target
4.00
11%
Conversion
10%
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