League Two · 2012/13
2013-03-16
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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

Cheltenham
WDWDDWDDWW
5W 5D 0L · 2.00 PPM
Rotherham
WWWWLWWDWD
7W 2D 1L · 2.30 PPM

Goals

1.40
Scored
1.80
0.60
Conceded
0.90
30%
Over 2.5
60%
60%
BTTS
60%

By half

0.60
1H goals
1.00
1.40
2H goals
1.70
90%
Goal in 2H
80%

Corners

7.00N=10
For
6.30N=10
4.20
Against
5.20
11.20
Total
11.50
Signals

Key historical patterns

moderateBoth teams scored

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

very strongAt least one second-half goal

9/10 home-side sample · 8/10 away-side sample.

moderateOver 8.5 corners

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

Team history

Goals

N=10 N=10
1.40
Goals scored
1.80
0.60
Goals conceded
0.90
2.00
Total goals
2.70
70%7/10
Over 1.5
80%8/10
30%3/10
Over 2.5
60%6/10
10%1/10
Over 3.5
30%3/10
60%6/10
BTTS
60%6/10
Matchup

Cheltenham attack

1.40goals per match
Rotherham conceded0.90
Matchup

Rotherham attack

1.80goals per match
Cheltenham conceded0.60
Timing

First & second half

N=10 N=10
0.50
1H goals scored
0.60
0.10
1H goals conceded
0.40
50%5/10
Over 0.5 1H
60%6/10
40%4/10
Leading at HT
20%2/10
0.90
2H goals scored
1.20
0.50
2H goals conceded
0.50
90%9/10
Over 0.5 2H
80%8/10
60%6/10
More goals in 2H
60%6/10
Set pieces

Corners

N=10 N=10
7.00N=10
Corners for
6.30N=10
4.20
Corners against
5.20
11.20
Match total
11.50
60%6/10
Over 8.5
90%9/10
60%6/10
Over 9.5
80%8/10
60%6/10
Team over 4.5
90%9/10
Advanced

Cards, fouls & shots

Yellow cards

1.10N=10
For
1.40N=10
3.20
Match total
2.60
40%4/10
Over 3.5
30%3/10

Fouls

10.10N=10
Committed
12.00N=10
22.80
Match total
20.90

Shots

10.70N=10
Shots
10.10N=10
5.80
On target
6.20
13%
Conversion
18%
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