Super League · 2018/19
2019-01-30
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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 yetLamia: 8/10 · Apollon: 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

Lamia
LDDWDLWW
3W 3D 2L · 1.50 PPM
Apollon
LLLLDLLLL
0W 1D 8L · 0.11 PPM

Goals

0.88
Scored
0.22
1.00
Conceded
1.89
38%
Over 2.5
33%
38%
BTTS
22%

By half

0.25
1H goals
1.00
1.63
2H goals
1.11
75%
Goal in 2H
67%

Corners

6.13N=8
For
3.33N=9
4.00
Against
7.22
10.13
Total
10.56
Signals

Key historical patterns

moderateAt least one second-half goal

6/8 home-side sample · 6/9 away-side sample.

strongOver 8.5 corners

6/8 home-side sample · 7/9 away-side sample.

Team history

Goals

N=8 N=9
0.88
Goals scored
0.22
1.00
Goals conceded
1.89
1.88
Total goals
2.11
50%4/8
Over 1.5
56%5/9
38%3/8
Over 2.5
33%3/9
13%1/8
Over 3.5
11%1/9
38%3/8
BTTS
22%2/9
Matchup

Lamia attack

0.88goals per match
Apollon conceded1.89
Matchup

Apollon attack

0.22goals per match
Lamia conceded1.00
Timing

First & second half

N=8 N=9
0.25
1H goals scored
0.00
0.00
1H goals conceded
1.00
13%1/8
Over 0.5 1H
67%6/9
13%1/8
Leading at HT
0%0/9
0.63
2H goals scored
0.22
1.00
2H goals conceded
0.89
75%6/8
Over 0.5 2H
67%6/9
75%6/8
More goals in 2H
44%4/9
Set pieces

Corners

N=8 N=9
6.13N=8
Corners for
3.33N=9
4.00
Corners against
7.22
10.13
Match total
10.56
75%6/8
Over 8.5
78%7/9
50%4/8
Over 9.5
67%6/9
88%7/8
Team over 4.5
33%3/9
Advanced

Cards, fouls & shots

Yellow cards

2.50N=8
For
2.78N=9
6.38
Match total
4.78
88%7/8
Over 3.5
89%8/9

Fouls

N=0
Committed
N=0
Match total

Shots

10.50N=8
Shots
7.33N=9
5.50
On target
2.89
8%
Conversion
3%
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