True odds calculation

[ShaunWhite]

.... Which is best of your 2 tests?..... Impossible to tell from the info provided.

[andy28]

That's only half the story, you need to consider sample size and statistical significance. Also the consideration of the underlying strategy when it comes down to how much variability it should exhibit. You should also be separating your data into multiple random subsets so you can do proper in and out of sample testing to ensure you're not backfitting. Then using the difference between those tests as an indicator of how reliable it ought to be.

As soon as people find a few fancy sounding analytical methods they think that's it, but unless you fully understand the nuance and pitfalls they're more misleading than they are informative. Take a look at the Trading What I See thread. It's full of jargon, tech and impressive statistics lingo but it hasn't resulted in anything that's made any money because its implementation and interpretation have been lacking or rushed.

Historical price data and supplementary info are undoubtedly the key to finding a profit but like a lot of this it's deeper then it seems at first, so make sure you keep your brain engaged and think deeply about what it's not telling you or how it might be less than concrete instead of just taking the resulting R, P or whatever it is at face value.

Thanks Shaun,

Your right I have just started doing this and I have read Goats thread and tbh when I read most of that statistical stuff I had no clue what you guys were on about, if you could have seen into my mind then you would see tumble weed blowing across a desert. But now I am starting to understand what you were talking about so maybe time to re read that thread.

I am testing one thing at a time to see if it gets good results and will add more as time goes on, that test was a simple one to see if my Team ranking is an indication of goals for and against. To me it looks like it does show a link that the higher my ranking the more likely they are to score more, which I already knew but I wanted to prove it. But to me there is a difference one looked better than the other so wanted to continue with the best result but as you say not enough data there.

My plan is if my rankings are close then I can use that to then test what difference that will have on my Xgls, team selection, corners, free kicks. Maybe a ref? Or even are some pitches lower scoring than others by crowd size

My biggest issue IS sample size I only have 900 matches with all this info so am wary of that but I am recording stats for 5 European Leagues so that should build quickly. Then I can back test on the matches from today on, at the end of the season, if it is good may look at deploying it next season with small stakes.

But am finding this useful and enjoy doing it

[goat68]

I had no clue what you guys were on about,

I think that puts you at an advantage!

[goat68]

I think what Shaun is saying, is that "edges" are very difficult to find, although I have heard the "opposite" as well

[andy28]

I am just at a basic level and mostly just wanting to see if something is random. I compared my team rankings to team wealth and found that team wealth is slightly better than my rankings. So now I know this I can go back get past results get the wealth from years gone and back test. From that I now my ranking would have given similar results.

From that then I can look at things like does it matter to teams what time they play, days between matches, refs, how far they have travelled, weather conditions. These may all just be random and of no use but at least it will tell me if they are random, if not then that maybe an edge. But it is all pie in the sky at the moment, it's like what Peter said about the Oak tree, I am at my first choice of which way to go. Plus I am enjoying it

I know weather plays a part because back in the day when I played the wetter the better for me I loved the heavy going, hot days killed me and I wouldn't last the full 80. Heck I worked in a Cyclone (Bola) once, my mate said we not going out in that I said we have too, tuck a bit of shirt around it put your wet weather gear on and get it done

[ShaunWhite]

I think what Shaun is saying, is that "edges" are very difficult to find, although I have heard the "opposite" as well

I'm not saying they're very difficult to find, I'm explaining that you need to understand how to use the tools you have at your disposal if you're going to find one.

[ShaunWhite]

I am just at a basic level and mostly just wanting to see if something is random....

I don't do football so I don't feel qualified to comment on that specifically. What I do relies on having thouands of bets a day, I wouldn't know where to start looking at a team that only plays 40 matches a year. I'm assuming you need a strategy with very fews ups and downs otherwise it could take years for randomness to play out. All I can suggest is not to throw too many variables into the mix at one time otherwise you'll never really understand what's causing what.

Also with data it's sometimes best to stop looking for an edge and just look for knowledge. eg what happens to the price of hot favs in the first 3 mins compared to the prices of balanced teams, or find out how much punters overreact to an early goal before common sense returns. It might not lead to something directly but could help you to assess the risk of where and when to get involved. It's tricky when you don't know what's going to work and what isn't, so rather than just random guessing it can be more satisfying giving yourself these general questions to answer, they're just as likely to reveal something interesting as anything else tbh and you're guaranteed to increase your market knowledge which is always a net gain.

[andy28]

I am just at a basic level and mostly just wanting to see if something is random....

I don't do football so I don't feel qualified to comment on that specifically. What I do relies on having thouands of bets a day, I wouldn't know where to start looking at a team that only plays 40 matches a year. I'm assuming you need a strategy with very fews ups and downs otherwise it could take years for randomness to play out. All I can suggest is not to throw too many variables into the mix at one time otherwise you'll never really understand what's causing what.

Also with data it's sometimes best to stop looking for an edge and just look for knowledge. eg what happens to the price of hot favs in the first 3 mins compared to the prices of balanced teams, or find out how much punters overreact to an early goal before common sense returns. It might not lead to something directly but could help you to assess the risk of where and when to get involved. It's tricky when you don't know what's going to work and what isn't, so rather than just random guessing it can be more satisfying giving yourself these general questions to answer, they're just as likely to reveal something interesting as anything else tbh and you're guaranteed to increase your market knowledge which is always a net gain.

I am mostly looking at Value bets and not so much to trade. It is the middle of the night here when 90% of matches are played so was thinking just look for value pre kick off..

I have got a lot of stats on when goals are score and which team scores them so this is where I would look to go in play. But it is exactly as you say you can have a mountain of stats but if you can separate the good from the bad then it is useless.

This is the part I like, 10 months ago I knew very little about this sort of stuff in fact I could have written all I knew on this on the back of a postage stamp, now I do Monte Carlo simulations, Poison Distribution and also getting a handle on Linear regression. So a steep learning curve, but plenty still left to do

[wearthefoxhat]

I am mostly looking at Value bets and not so much to trade. It is the middle of the night here when 90% of matches are played so was thinking just look for value pre kick off..

I have got a lot of stats on when goals are score and which team scores them so this is where I would look to go in play. But it is exactly as you say you can have a mountain of stats but if you can separate the good from the bad then it is useless.

This is the part I like, 10 months ago I knew very little about this sort of stuff in fact I could have written all I knew on this on the back of a postage stamp, now I do Monte Carlo simulations, Poison Distribution and also getting a handle on Linear regression. So a steep learning curve, but plenty still left to do

There is an approach when looking for value and then trading it accordingly be it football/racing or any sport you specialise in.

With horse racing, I input certain variables into excel, create a rating, calculate it to a 100% book, then I complete the tissue by massaging it to an overround of 120%+. This effectively gives an M.A.P. (minimum acceptable price) or if laying, (maximum acceptable price).

An edited example from yesterday.

Chelm 4.30.png

As I'm focussing on L2B types IP, the bottom rated Ethel C caught my eye, and was calculated (in my book) as an 18.31 chance. It went off at an ISP of 5.50/BSP 6.20. (You could argue it was a straight forward lay bet)

With football, my view is the odds market is carved up by the bookies and any value gets compressed/eliminated quite quickly. The main variables in my view, would be the players ratings.(of course there are others that need to added too)

Tonights game taken from https://www.sofascore.com/

Bayern.png

Borrusia.png

These are possible line ups that should be confirmed about an hour before kick off. If you specialise in a certain league (I focus on Serie A), you get to know the influencial line ups, key players, and importantly, injuries that can impact the formation. Any other factors/variables can be assessed ahead of time.

In both cases, I only use basic excel skills by copy/pasting data whenever possible with some data input for adjustments. No need to over complicate things, applying the K.I.S.S. principle. However, if you crack the monte-carlo sims/Poisson Distribution/Linear Regression, fair play to you!

[andy28]

Thanks for that, nice result there. I agree it is all well and good have data but it is applying it and getting the probability right. What you say is definitely the direction I want to go, it's how I get there that is the problem