League One · 2018/19
2019-03-09
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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

Gillingham
WLLDWLLDLW
3W 2D 5L · 1.10 PPM
Oxford
DDLDDLDDLW
1W 6D 3L · 0.90 PPM

Goals

1.10
Scored
1.30
1.60
Conceded
1.90
60%
Over 2.5
60%
40%
BTTS
60%

By half

1.20
1H goals
1.30
1.50
2H goals
1.90
80%
Goal in 2H
70%

Corners

5.30N=10
For
7.10N=10
5.90
Against
4.30
11.20
Total
11.40
Signals

Key historical patterns

moderateOver 2.5 goals

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

strongAt least one second-half goal

8/10 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
1.10
Goals scored
1.30
1.60
Goals conceded
1.90
2.70
Total goals
3.20
70%7/10
Over 1.5
80%8/10
60%6/10
Over 2.5
60%6/10
40%4/10
Over 3.5
50%5/10
40%4/10
BTTS
60%6/10
Matchup

Gillingham attack

1.10goals per match
Oxford conceded1.90
Matchup

Oxford attack

1.30goals per match
Gillingham conceded1.60
Timing

First & second half

N=10 N=10
0.40
1H goals scored
0.30
0.80
1H goals conceded
1.00
80%8/10
Over 0.5 1H
90%9/10
30%3/10
Leading at HT
20%2/10
0.70
2H goals scored
1.00
0.80
2H goals conceded
0.90
80%8/10
Over 0.5 2H
70%7/10
40%4/10
More goals in 2H
30%3/10
Set pieces

Corners

N=10 N=10
5.30N=10
Corners for
7.10N=10
5.90
Corners against
4.30
11.20
Match total
11.40
80%8/10
Over 8.5
80%8/10
60%6/10
Over 9.5
60%6/10
80%8/10
Team over 4.5
80%8/10
Advanced

Cards, fouls & shots

Yellow cards

1.50N=10
For
2.90N=10
2.60
Match total
5.20
20%2/10
Over 3.5
80%8/10

Fouls

11.00N=10
Committed
14.30N=10
23.00
Match total
27.60

Shots

9.80N=10
Shots
11.20N=10
3.40
On target
4.40
11%
Conversion
12%
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