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Predicting The English Premier League-using stats


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Re: Predicting The English Premier League-using stats System Stats:

 

ALL

HW

D

AW

No of Bets:60102822
     
Staked:£2050.48£335.99£951.74£762.75
Returned:£1769.31£321.35£1005.11£442.85
P+L:£-281.17£-14.64£53.37£-319.9
Strike Rate:38.3%70%35.7%27.3%
Yield:-13.7%-4.4%5.6%-41.9%
     
Avg Back Odds:3.221.493.753.34
Avg Win Odds:2.771.384.012.32
     
Each Person:£37.78   
Back in time for the 20th.
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  • 2 weeks later...
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Re: Predicting The English Premier League-using stats

Date
Home
Away
PredictionOddsBookieStakeCorrectReturn
20/Oct/2007
Arsenal
Bolton
HW
1.29
Betfair£34.75
 
 
20/Oct/2007
Aston Villa
Man Utd
D
3.70
Betfair£34.75
 
 
20/Oct/2007
Blackburn
Reading
D
3.60
vcbet£34.75
 
 
20/Oct/2007
Fulham
Derby
D
3.75
Betfair£34.75
 
 
20/Oct/2007
Man City
Birmingham
D
4.00
Betfair£34.75
 
 
20/Oct/2007
Middlesbrough
Chelsea
D
3.90
Betfair£34.75
 
 
20/Oct/2007
Wigan
Portsmouth
D
3.25
Bet365£34.75
 
 
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Re: Predicting The English Premier League-using stats I backed a couple of these a few days ago. So odds may have changed - I can prove the odds I achieved if needs be. The reason for the delay is that SkyCard now charge you a cash handling fee for placing bets - they didn't used to and the 2% cashback was quite nice!!! Anyone know of another credit card (with perks) that allows you to bet without issuing a cash handling fee?

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Re: Predicting The English Premier League-using stats

Date
Home
Away
PredictionOddsBookieStakeCorrectReturn
20/Oct/2007
Arsenal
Bolton
HW
1.29
Betfair£34.75
:nana
£44.32
20/Oct/2007
Aston Villa
Man Utd
D
3.70
Betfair£34.75
:puke
20/Oct/2007
Blackburn
Reading
D
3.60
vcbet£34.75
:puke
20/Oct/2007
Fulham
Derby
D
3.75
Betfair£34.75
:nana
£125.53
20/Oct/2007
Man City
Birmingham
D
4.00
Betfair£34.75
:puke
20/Oct/2007
Middlesbrough
Chelsea
D
3.90
Betfair£34.75
:puke
20/Oct/2007
Wigan
Portsmouth
D
3.25
Bet365£34.75
:puke
Date
Home
Away
PredictionOddsBookieStakeCorrectReturn
21/Oct/2007
West Ham
Sunderland
D
3.55
Betfair£31.82
:puke
Complete nonsense...........I hope for better this weekend. System Stats:
 

ALL

HW

D

AW

No of Bets:68133723
     
Staked:£2325.55£370.74£1192.06£762.75
Returned:£1939.16£365.67£1130.64£442.85
P+L:£-386.39£-5.07£-61.42£-319.9
Strike Rate:36.8%61.5%29.7%26.1%
Yield:-16.6%-1.4%-5.2%-41.9%
     
Avg Back Odds:3.211.463.723.36
Avg Win Odds:2.751.373.982.32
     
Each Person:£33.2   
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Re: Predicting The English Premier League-using stats

Date
Home
Away
PredictionOddsBookieStakeCorrectReturn
27/Oct/2007
Birmingham
Wigan
D
3.50
Betfair£30.54
 
 
27/Oct/2007
Chelsea
Man City
HW
1.57
Betdirect£30.54
 
 
27/Oct/2007
Man Utd
Middlesbrough
HW
1.22
Betfair£30.54
 
 
27/Oct/2007
Reading
Newcastle
D
3.30
vcbet£30.54
 
 
27/Oct/2007
Sunderland
Fulham
AW
3.95
Betfair£30.54
 
 
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  • 3 weeks later...

Re: Predicting The English Premier League-using stats Hi Matthew, Just a few questions re your model. Firstly i have to say im impressed but im fairly new to this whole thing and im extremely keen to build my own model. The database you've created - how have you created this? is it in Excel/VBA or Access or another tool? And where are you collecting the data from? What kind of predictive model have you built for the 3 outcomes? is it a linear regression model or logistic? Finally, i see that you've developed some variables taken from a book. "System 9 Rating (A)" etc. Could you possibly tell me which book you got these from? Hope to hear from you soon Cheers

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Re: Predicting The English Premier League-using stats I'm glad your taking this approach to predicting sports, it's applicable to any sport really, you just have to get the data together. I created my dataset exclusively in Excel using VBA to manipulate the data and create the numerous variables you see on Page 1. The raw data if you will is basically results info. Stuff like shots and corners are needed for the "system" variables which come from the book Profitable Football Betting written by Paul Steele. http://www.highstakes.co.uk/shop/product.php/2172/ KXEN creates polynomial models and applies a technique known as SRM. Structured Risk Minimization (SRM) The primary challenge for statisticians has been to build highly accurate models that are also reliable. This has been particularly difficult given the large number of variables in computer-generated data. Traditional statistics can only produce an accurate model with a few variables, so an expert is needed to reduce the number of variables before building a model. The more variables there are, the more difficult it is to build a reliable model. Only the expertise of the statistician determines the reliability of the model. SRM, developed by Vladimir Vapnik, is a breakthrough in mathematics and statistics that for the first time makes it possible to automatically build reliable and accurate models. In contrast to traditional statistical models, SRM models become more accurate and are still reliable as the number of variables is increased. Model Accuracy and Reliability are determined by the data, not by the expert. What sort of variables are you looking to create? Which leagues are you concentrating on? You say you use SAS quite a lot? What do you do?

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Re: Predicting The English Premier League-using stats I'm probably just looking to build a model based on the English Premier League. I think the variables that you've used seem pretty good so i might follow something similar. I work as a statistician. Hence i know SAS very well. i know Excel/VBA quite well too and its a good way of cutting data but it would be sooooo much easier using SAS lol. i take it that you built a polychotomous model ie a 3-way logistic regression model?? with regards to my other thread.......ive looked everywhere for it but no luck lol.

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