BTTS YES % analysis in games in Norway Tippeligaen where the away team open the scoring in the 0-20 minutes time band

[jonnyg]

2014 season in Norway Tippeligaen in games where the away teams opened the scoring in the 0-20 minutes time band , 85% ended over 2.5 goals, 54% ended over 3.5 goals and both teams scored in a whopping 85% .

In early away goal games in Tippeligaen there will be high expectation of both teams scoring as some expectation of the home team fighting back and the away teams won only 48%, 19% ended a draw and the home teams won 33% = acceleration of goal production in general > lowers expectation of a draw and very high home win %. = Huge in play betting edge ….

Over 1.5 goals in the first half was landed in a whopping 81% and 42% produced a goal(s) 80 +

2015 season in Norway Tippeligaen in games where the away teams opened the scoring in the 0-20 minutes tome band, 83% ended over 2.5 goals, 60% ended over 3.5 goals and both teams scored in a whopping 83%

Over 1.5 goals in the first half was landed in 75% and 60% produced a goal(s) 80 +

The home teams won 27%, 20% ended a draw and the away teams won 53% < expectation of the home teams fighting back

Last season in Norway Tippeligaen in games where the away team opened the scoring in the 0-20 minutes time band , 69% ended over 2.5 goals, 53% ended over 3.5 goals and both teams scored in a whopping 81%

Over 1.5 goals in the first half was landed in 62.5% and 53% produced a goal(s) 80 +

GAME PAATHWAY

3/32 0-1 FT

> 1-1 21/32 9-7-5, the away teams won 24%

> 0-2 8/32 1-2-5, the away teams won 62.5%

10-9-13 , the away teams won 41%

Summary

In Norway Tippeligaen in games where the away team open the scoring in the 0-20 minutes time band , > 1-1 pathway will be far more likely then the > 0-2 pathway and as a result there will be some expectation of the home team fighting back with the BTTS YES % at a high level season on season in this profile in Tippeligaen

T HT T+1 FT Goal 80 +
Odd Sogndal 5 0 1 H67 3 1 85
Val Stabæk 3 0 1 H84 1 1 84
Start Tromso 4 2 1 H14 2 1
Strom Odd 1 1 1 H5 1 1
Val Aal 1 0 1 0 1
Aal Strom 1 1 1 H14 4 2 90
Bodo Brann 13 1 1 H18 1 3
Aal Sarp 11 1 2 H13 2 2 83
Start Sogndal 7 0 1 H89 1 1 89
Val Brann 14 2 1 H31 3 2 90
Lil Rosenborg 18 0 4 A25 3 4 89
Tromso Aal 4 1 2 H14 1 2
Sogndal Bodo 17 0 1 A61 2 2 85
Molde Start 8 1 1 H22 2 2
Aal Rosenborg 2 0 1 H90 1 1 90
Haug Viking 12 1 1 H16 4 1 86
Brann Val 20 1 1 H40 4 1 8285
Strom Aal 5 2 2 H17 4 2 90
Haug Start 15 0 1 H49 2 1
Lil Tromso 3 1 2 H14 2 4
Tromso Sarp 2 1 2 A27 1 2
Strom Val 20 0 2 A28 3 2 85
Bodo Aal 8 0 1 0 1
Stab Tromso 7 0 2 A25 0 3
Val Haug 18 0 1 0 1
Haug Molde 20 0 1 A48 3 3 8589
Bodo Sarp 7 0 1 A69 0 2
Viking Haug 14 1 1 H35 3 2 86
Start Sarp 3 1 3 H11 1 4
Bodo Haug 12 2 2 H19 3 4 90
Viking Odd 13 0 2 A25 0 2
Lil Bodo 12 0 1 H83 1 1 83

[jonnyg]

In Sweden Allsvenskan in 2015 season where the away teams opened the scoring in the 0-20 minutes time band , 86% ended over 2.5 goals and 64% ended over 3.5 goals

Both teams scored in 82% and over 1.5 goals was landed in the first half in 71%

The home teams won 25% , 25% ended a DRAW and the away teams won 50%< some expectation of the home teams fighting back which will result in high expectation of both teams scoring.

43% produced a goal 80 + minutes

Last season is Allsvenskan in games where the away team opened the scoring in the 0-20 minutes time band, 77% ended over 2.5 goals and 58% ended over 3.5 goals

Both teams scored in 81% and over 1.5 goals was landed in the first half in 69%

11-12-25 < the away teams won 52% < some expectation of the home teams fighting back which will result in high expectation of both teams scoring

42% produced a goal 80 + minutes

GAME PATHWAY

2/48 0-1 FT

> 1-1 <> 29/48 <> 10-10-9 < the away teams won 31%

> 0-2 <> 17/48 <> 1-2-14 < away teams won 82%

In games in Allsvenskan where the away team open the scoring in the 0-20 minute time band > 1-1 pathway will be far more likely then > 0-2 pathway .

T T+1 HT FT Goal 80 +
Ost Gefle 7 A10 1 2 2 4 90
Norrk Gote 9 H23 1 1 3 1
AIK Kalmar 10 H41 1 1 3 1
Jonk Orebro 8 H81 0 1 1 1 81
Sund Gote 7 A13 1 2 1 3
Falk Malmo 1 A19 0 2 0 3
Ham Elfsborg 5 A17 0 3 2 4 90
Hacken Kalmar 20 H37 2 1 2 3
Ham Djurg 3 A32 2 2 4 2
Gote Gefle 6 H43 1 1 3 3 8190
Orebro Kalmar 19 H47 0 1 2 1
Ost Falk 8 H32 3 1 6 1
Hacken Malmo 13 H15 2 2 2 4 83
Hamm Hacken 20 H64 0 1 2 3 8086
Djurg AIK 15 A65 0 1 0 3
Hacken Gote 15 A60 0 1 2 2
Hels Norrk 14 A49 0 1 1 2
Orebro Sund 7 H26 2 1 3 3 89
Sund AIK 17 A19 0 3 1 3
Hels Gefle 7 H32 1 1 2 3 8688
Kalmar Djurg 4 H69 0 1 2 1
Hacken Helsin 1 H16 1 1 1 1
Sund Norrk 13 H24 1 1 1 2
Gefle Hamm 12 A33 0 2 0 2
Hamm AIK 11 A17 0 3 0 3
AIK Malmo 15 H44 1 1 1 1
Hamm Falk 16 A28 2 3 3 3
Norrk Ost 6 H12 2 1 3 3 84
Ost Malmo 3 A6 0 2 1 4 90
Jonk Sund 6 H66 0 1 1 1
Falk AIK 17 H39 1 2 2 3 81
Gefle Orebro 6 A47 0 1 0 4 83
Djurg Kalmar 15 A51 0 1 0 3 90
Hels Ost 20 H81 0 1 1 1 81
Falk Hacken 12 A25 1 2 1 4 88
Orebro Hamm 11 H18 2 2 3 2
Jonk Norrk 15 A63 0 1 0 2
Gefle Gote 10 H25 2 1 2 6 88
Hacken Gefle 4 H32 2 1 6 1 8587
Hacken Sund 18 0 1 0 1
Djurg Hamm 12 H25 1 2 1 3
Gote Kalmar 7 H53 0 1 1 1
Malmo Sund 11 H40 1 1 1 2 86
Hamm Helsin 4 H6 2 1 5 1 8183
Jonk Malmo 4 H26 1 1 3 2
Gefle Helsin 9 H79 0 1 1 1
Kalmar Jonk 15 0 1 0 1
Malmo Norrk 16 H44 1 1 3 1 90

[jonnyg]

how does the time of the opening goal in an individual league effect ;

1. accuracy

2. expectation of the other team fighting back


if you can work out 1 and 2 to a high level then you will have a monster in play Soccer trading tool

[ricke]

how does the time of the opening goal in an individual league effect ;

1. accuracy

2. expectation of the other team fighting back


if you can work out 1 and 2 to a high level then you will have a monster in play Soccer trading tool

Thanks for posting detailed stats of lesser known leagues.

I am new to soccer trading (cricket is my main sport) and I used to base my trades purely on expected goals criteria with moderate success.

But now I'm going use that data in conjunction with the timing of opening goal. I have started collecting opening goal data manually which is a long and insanely boring process but hopefully a profitable one

I have one question, what exactly do you mean by point no.1 "accuracy"

I hope you keep posting these golden nuggets of data

Cheers

[jonnyg]

I have manually added the early goal data for a number of leagues to my blog

accuracy = how is goal production effected by the time of the opening goal added to the current score (game state ) as time decays ?