Kelly betting live test - is it a madman's goal as some quants around here suggest?

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What I mean is, if you can middle say -27.5 somewhere and +28.5 somewhere else, what do the effective odds have to be before it's value, generally?



Calculating this requires constructing your own push charts. You can even retrofit a vig free push chart of line value from a sportsbook's alternative line market. Take an average from 2-3 though, because some books are off.

However it is better to do it clean yourself, if you have the match data, it'd take you less than an hour with some programming ability. With none (I did this a few years ago), it takes about half a day in excel.
 
Calculating this requires constructing your own push charts. You can even retrofit a vig free push chart of line value from a sportsbook's alternative line market. Take an average from 2-3 though, because some books are off.

However it is better to do it clean yourself, if you have the match data, it'd take you less than an hour with some programming ability. With none (I did this a few years ago), it takes about half a day in excel.

You'd need to know the market line in the match though, wouldn't you?
 

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brett128 one more question for you, if you have a moment... if you're pricing up all margin possibilities, how far out do you price? Say you predict Hawthorn will beat GWS by 85 points, then 85 is your most likely margin, and each point either side is the next likely, and so on... where do you draw the line? 90 points either side of your predicted margin? 120 points? 180??



You really need to understand how the Gaussian distribution works.

Many natural physical processes (including football) conform to this distribution. If you have a standard deviation (sigma) and a mean (mu) of the margin of victory, you can construct a simple formula to price any > or < points line.

http://en.wikipedia.org/wiki/Gaussian_distribution

http://en.wikipedia.org/wiki/File:Standard_deviation_diagram.svg
 
You'd need to know the market line in the match though, wouldn't you?


Yes you need to have recorded the historical market line for a game. If you don't have this info, your better bet is to retrofit a vig free version from some books.
 
You really need to understand how the Gaussian distribution works.

Many natural physical processes (including football) conform to this distribution. If you have a standard deviation (sigma) and a mean (mu) of the margin of victory, you can construct a simple formula to price any > or < points line.

http://en.wikipedia.org/wiki/Gaussian_distribution

http://en.wikipedia.org/wiki/File:Standard_deviation_diagram.svg

Yeah I get the Gaussian distribution... I just don't calculate it based on standard deviations. Being of racing background I don't believe stdev's for Gaussian distributions work well enough. I assume those links will say you price out to three standard deviations?
 
Google "push chart" or "NFL push chart". I found a few articles and went from there. The reason why you input 'NFL' is because American sources of info for doing this type of thing are all over the web.
 
Google "push chart" or "NFL push chart". I found a few articles and went from there. The reason why you input 'NFL' is because American sources of info for doing this type of thing are all over the web.

I don't like copying charts and things though, I like to work them out for myself. It's the give a man a fish, teach him to fish thing.
 
Yeah I get the Gaussian distribution... I just don't calculate it based on standard deviations. Being of racing background I don't believe stdev's for Gaussian distributions work well enough.


I've discussed this before with my syndicate partners, the old fella in our group somewhat takes your stance. He says reality is a funny thing and that sigmas and averages don't properly conform to what is actually happening.

I tell him if it doesn't conform to the Gaussian distribution, then it's another distribution.

I assume those links will say you price out to three standard deviations?

That's not the point of what i'm trying to say. I'm trying to say you can calculate this easily for any points line given the right formula.
 
I don't like copying charts and things though, I like to work them out for myself. It's the give a man a fish, teach him to fish thing.


You're not copying the charts, your reading the ideas and adapting them for yourself. When I was working on my own, I had nothing but simple demo models of the NFL to play with. But that was enough of a spark to make my own model.
 
I've discussed this before with my syndicate partners, the old fella in our group somewhat takes your stance. He says reality is a funny thing and that sigmas and standard deviations don't properly conform to what is actually happening.

I tell him if it doesn't conform to the Gaussian distribution, then it's another distribution.

You can tell your old fella (so to speak) that I'm with him. They don't. And I've proven it in my own racing research... this is why I am reticent when stepping into the world of you quants (so to speak :p ).


That's not the point of what i'm trying to say. I'm trying to say you can calculate this easily for any points line given the right formula.

OK, I'll re-read.
 
You can tell your old fella (so to speak) that I'm with him. They don't. And I've proven it in my own racing research... this is why I am reticent when stepping into the world of you quants (so to speak :p ).




OK, I'll re-read.



I've done some work for a horse racing professional not too recently ago. I looked at 1.5M runners in UK racing over many years of data. He wanted to find the right conversion approach of win odds to place odds. You have flawed methods like the Harville formula, etc. So I decided to empirically derive an equation through plotting a distribution.

The final distribution essentially looked like something to be derived from a power law. It had a massive left skewed spike, and then an extremely long tail. Funnily enough, the distribution looked almost identical to an article I read on the relationship of the magnitude of earthquakes to the magnitude of aftershocks. Reality works in strange ways.

In the end I created a better place formula, but it still wasn't 'smooth' enough to create a tight 300% place market, we needed to slightly compress/expand to fit it properly where there was either small or large fields.
 
And one other thing I found is that betting on the 'backmarker for the place' strategy is BS. There is a clear power law that dictates the relationship between win and place probability in horse racing.
 

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I've done some work for a horse racing professional not too recently ago. I looked at 1.5M runners in UK racing over many years of data. He wanted to find the right conversion approach of win odds to place odds. You have flawed methods like the Harville formula, etc. So I decided to empirically derive an equation through plotting a distribution.

The final distribution essentially looked like something to be derived from a power law. It had a massive left skewed spike, and then an extremely long tail. Funnily enough, the distribution looked almost identical to an article I read on the relationship of the magnitude of earthquakes to the magnitude of aftershocks. Reality works in strange ways.

In the end I created a better place formula, but it still wasn't 'smooth' enough to create a tight 300% place market, we needed to slightly compress/expand to fit it properly where there was either small or large fields.

Yeah, the place market is an interesting one. Recently, a local ex bookmaker turned professional punter, and a bit of a guru here called Dominic Beirne came up with a pretty good working place model. Bookies and the TAB now use it, I am sure he was paid very handsomely for it!

I have another theory on it, which I reckon is a better one, but that's another story. The one the TAB and bookies use now is pretty good.
 
I've done some work for a horse racing professional not too recently ago. I looked at 1.5M runners in UK racing over many years of data. He wanted to find the right conversion approach of win odds to place odds. You have flawed methods like the Harville formula, etc. So I decided to empirically derive an equation through plotting a distribution.

This bloke's initials weren't MS by any chance, were they?
 
Bets for the games for which final teams are out. Half Kelly, biggest EG bet taken, 10k bankroll.

Syd, line, -18.5, 1000 pinnacle @$2.10
Adel, over 15.5 pts, 500 at 2.35 flem sb
Adel, over 15.5 pts, 650 at 2.30 sb
Coll, over 15.5, 400 at 1.94 luxbetia
Freo, h2h, 1150 at 2.70 tab (taken earlier in the week... has drifted!)

Total - $3700
 
hawks line -42.5, $600 at 1.943 pinnacle
gws line +80.5, 1075 at 2.01 pinnacle
gws line +80.5, 200 at 1.962 pinnacle
rich line -28.5 230 at 1.909

this total 2105

Total for round: $6065



Yeah much better looking outlays. I think you're still over betting by not properly adjusting for simultaneous Kelly.

These essays are an excellent reference, Dr Bob's been in the game for a while, his edge is eroding (hasn't been profitable on the NFL for years) but still one of the better cappers out there:

http://www.drbobsports.com/essays.cfm?cat=0

and read about simultaneous Kelly.
 
Yeah much better looking outlays. I think you're still over betting by not properly adjusting for simultaneous Kelly.

These essays are an excellent reference, Dr Bob's been in the game for a while, his edge is eroding (hasn't been profitable on the NFL for years) but still one of the better cappers out there:

http://www.drbobsports.com/essays.cfm?cat=0

and read about simultaneous Kelly.

Thanks for that. Remember though,I'm using a static 10k BR, which negates the simultaneous play problem. Betting half Kelly on a static BR figure.

My prices are probably too aggressive... I haven't introduced any 62% cap for eg. If they are too aggressive then half Kelly will help square that up.

Last night's game... Had swans to win by 34. On your model, what price would you have the swans to cover an 18.5 point line, if you had them as winning by 34?
 
Thanks for that. Remember though,I'm using a static 10k BR, which negates the simultaneous play problem.


No it doesn't.

Last night's game... Had swans to win by 34. On your model, what price would you have the swans to cover an 18.5 point line, if you had them as winning by 34?

That's too far dude. Lines are only very rarely that wrong. A 15-16 point difference vs the spread implies a win % going into mid 60's% in AFL. Either increase your Kelly fraction or re-work your model.
 
No it doesn't.

It does though, doesn't it? Given that I am using $10K as a BR to work out the bets, no matter what the actual BR is, then simultaneous plays are not an issue. They're only an issue if you're overbetting as a result of having many plays in play at once, but that's only the case if you have a reducing or increasing BR. I am sure I am right that simultaneous plays don't matter if you're not adjusting your BR.


That's too far dude. Lines are only very rarely that wrong. A 15-16 point difference vs the spread implies a win % going into mid 60's% in AFL. Either increase your Kelly fraction or re-work your model.

Yeah I come up with some pretty aggressive differences to the market, I have to say. Thus far I've just been assuming that I know more than the combined total of the opinions of everyone else out there. ;)

The North vs GWS game... I have it at North by 58 points, the market is 80.5... Aggressive!!
 
That's too far dude. Lines are only very rarely that wrong. A 15-16 point difference vs the spread implies a win % going into mid 60's% in AFL. Either increase your Kelly fraction or re-work your model.

But how can this be proven?

Edit: Wouldn't the way to prove be to look at the final lines for a couple of years, and how far off the final score they were? How often is a line 16 points off the final margin?
 

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Kelly betting live test - is it a madman's goal as some quants around here suggest?

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