If I have a method for betting on sports games, with around 55

>If I have a method for betting on sports games, with around 55 - 60% accuracy

LMFAO fuck off. If you could really do that you would be a millionaire by now.

>Law of big numbers

kek shilling sports betting

>>961960

How would I be a millionaire by now? I have been growing my account, albeit slowly, but I would rather grow it faster.

Also, I only bet on a small amount of games (maybe 2 - 6 a week), so it will take a while to compound returns.

For example, my account started this NFL season at $500 and is now sitting at $750 (betting $50 a game). I can post proof, but then again, no one would believe me anyway.

>>961964
>i bet for 3 months and got lucky
>look mom, i beat the system. i genius.

>>961960
>>961971

I first backtested my model over six previous years (2009 - 2014) and achieved my claimed win rate. So no, I didn't just get lucky...

>>961960

this.

any gambler has heard the old, "I've got a model".

The best statistician on earth, Nate Silver, picked the Denver Broncos to win that super bowl.

If you can get a 60% win ration over an entire NFL season, and post proof along the way, then I'll become a believer.

I won't hold my breath....

>>961964
go ahead and post whatever proof you have for shits and giggles

>>961958
Head or tail?

>>961975
>backtested model on known results
>genius
Take a loan then. With 60% accuracy, you'll cover that within a few weeks even with loanshark interest. Put the money where your bullshit is.

>>961958
If it only involves two teams, I'd bet on both sides.

Serious answer to OP. In financial markets at least, there's widely assumed to be hidden (estimator) bias across and correlated between different prediction models. If you used a machine learning solution, you're probably going to have overfitting which will amplify the problem. Because of that a model needs to return huge amounts of alpha just to solicit interest, even ignoring interest and trading costs. Algo trading has been dead as an industry despite the Michael Lewis hype earlier this year. Not as knowledge about sports predictions but it seems to be going the same way. If serious investors express interest in a model it'd be for them to sell it to gamblers and fantasy sports players, not to bet themselves.

>>962072

>overfitting
That is why cross validation exists and backtesting.

>make a bet for team a to win
>on another site, make a lay bet for team a to not win
>make sure the returns from each cover the other bet
>profit every time
Gee, that was sure hard.

>>963444

That's call arbitrage betting I believe. It's harder than you think. You need to find games where different sites have opposite lines, which doesn't happen often. Also, the profit is very small and it is actually risky.

For example, you do this, place a bet at each site, but one site cancels your bet. Oops. There goes a lot of money up in smoke.

>>961958
>If I have a method for betting on sports games, with around 55 - 60% accuracy, how can I monetize this? My picks are based on advanced statistical and machine learning algorithms.

just start betting... that is a huge edge in this game, so huge that chances are you're actually mistaken in your estimate of it... in fact it is very likely you're mistaken since you've not actually done much real world gambling using your system

it is not hard to open accounts at overseas bookies - Asian bookies for example use betting agents (asianconnect88 for example)

>Sell my picks?
Get investors?
Try to work for a sportsbook?
Write a book about my ventures and tips (obviously make this shit up)?
Try to work for a hedgefund or as a quant?
???

none of those - selling tips is something people without an edge do, you don't need investors either if you genuinely have that large an edge

if your modelling skills are good then there are syndicates/firms that would certainly talk to you - for example try starlizard based in the UK - they recruit statisticians... though they probably have an edge of a percent or two (and the owner is a billionaire) - you're claiming a huge edge in comparison to them, yet you've got no money...

maybe you have found something in which case get in touch with them or gamble it yourself - I highly doubt your edge is as much as you claim though

>>961958
Do like everyone else with a system
1. Bet 2% of account each time
2. Kill emotions
3. Know you maximum drawdown
4. Revise system over time
Of any of that flies over your head you should just bet $20 each time and have fun, not act like you have a system

>>961958
55-60% won't be impressive enough tbqh, I think you need around 70 before you start making decent profits.

bumping for interest

>>961964
If you're being serious, you could make a name for yourself in the sports betting circle. Whenever people see your track record for picking winning games, then they will obviously take notice.

Whenever you have a strong audience that you view is taking notice into your work, then you can sell your method to them in a program for like $250.00.

This way will make you far more money in a shorter amount of time. The hard part is marketing yourself in a crowded field, but if you do want to go ahead with it then your best bet is to search twitter for relevant sports information, and just engage in discussion with sports fans.

>>961964
If you're that good at making models, make some for different sports. The NFL has the fewest # of games of the major US sports. If you made a working model for NHL, NBA, college sports, or MLB, you'd be able to compound your money a lot faster.