*****New Football Thread*****
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@Matt-Wood if you want to send me your spreadsheet or results etc to see if I can see things from another angle then feel free!
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@Matt-Wood 1500 is decent! I'd say once you get in excess of 5000 then you can really start to drill into the individual leagues and see what works and what doesn't. Until then, perhaps a more broad approach would be best? I'd definitely look to filter odds ranges at the top and bottom ends though as a starting point, as opposed to leaving out say odds of 3.4 because they're showing a loss, whereas 3.35 and 3.45 both show profit, so they don't get removed. It just doesn't make sense.
How many selections are you averaging per month? If it's a fair amount then surely just aim for maximum profit over ROI? Tough call that one though.
I think 3-5 seasons' worth of data is good, anything older just doesn't feel relevant anymore. I only look at the past 3 seasons data personally, and keep that rolling so it's never more than 3 seasons old, if that makes sense.
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@Matt-Wood said in *****New Football Thread*****:
Afternoon all.
Just wondering if any of you suffer from 'analysis paralysis' at all and if yes how and what do you do to move past it?
I ask since I am struggling with it now. I had an idea for a LTD (even though the internet says its dead
) for the summer leagues since I don't do much in the summer.I have collected a fair amount of data now and just betting every game blind it has made 50pts.
I know with a couple of sensible tweaks to the data that return can double. The problem I am stuck with now is that I have become obsessed with maximising the return and therefor won't commit to making the change.For example if I apply a couple of filters to the data Ireland is in good profit for the summer but with a couple of different filters it is in a slight loss. This is reversed for other leagues. Repeat this over and over across multiple attempts and I have become stuck with trying to find a way to extract the maximum winning leagues in one go, even though I know there is probably not a 'best' way.
Just curious as to how others find their way through this sort of thing.
Cheers in advance.
I know others have said tailor your approach to each league independently. I'm sure that works but for me it's way too much and I would find it overcomplication on mine.
When I look to optimise any filter I have I never look at what this does to a particular league. If the overall improves and the league is looking sub standard then it's the league which will hold my concerns.
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In terms of what I filter first it's always the stats. Stats is logical. When I can't find any reasonable change to the stats and I'm still not happy that's when I'll look at removing poor leagues.
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@Matt-Wood said in *****New Football Thread*****:
@Richard-Latimer Thanks Richard,
I think I was falling into a similar trap you describe and have taken kinda the same path you have in keeping the filtering to a minimum and making it sensible as Alex suggested.
I know you keep massive spreadies, do you keep traking a poor league and add it in if it turns good later down the line? Also do you filter first or remove bad leagues first? I have found doing these two things in different orders can ave a massive effect on my results. Not sure if thee is a 'best' option though.
I started off with all leagues which are 30+ on the global corruption index. That rules out the real bottom feeders and I didn't even track them.
After that, even the ones failing I will keep tracking for later with a few exceptions.
I've recently binned Estonia completely from my home lay, that and Bosnia. Sometimes it's liquidity, sometimes it's a feel all is not quite right.
South Korea I have found to be crap though and I'm still tracking them.
On my 3 most promising filters at present I've got between 12-16 filters, most looking very broadly. This gives me plenty of scope to change things later and really see
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@Richard-Latimer Thanks Richard,
I think I was falling into a similar trap you describe and have taken kinda the same path you have in keeping the filtering to a minimum and making it sensible as Alex suggested.
I know you keep massive spreadies, do you keep traking a poor league and add it in if it turns good later down the line? Also do you filter first or remove bad leagues first? I have found doing these two things in different orders can ave a massive effect on my results. Not sure if thee is a 'best' option though.
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In my current home lay I have combined a max 2 stats although going forward I won't even do that. It's just much easier to analyse when you're looking at each stat in turn.
Trading Spreadsheet linked below
https://www.dropbox.com/scl/fi/3gnk1vku1krkoyfcq37y6/Trading-Bible.xlsx?rlkey=01eqhp8u73s61iy2s814sqfll&dl=0 -
@Matt-Wood said in *****New Football Thread*****:
@Alex-Rendell Thanks for the reply Alex.
I have 1500 games total so not a massive amount of data but a fair bit.
I am trying to be very careful about the danger of back fitting the data with over tweaking, as you say this would in effect ruin the strategy. I have limited myself to making 2 or 3 sensible tweaks like you have suggested, and those are usually around an odds range or goals scored.I like your idea of each league having its own rules and I might adopt this long term. Dont think I have enough data on most of the leagues to properly look into that yet. One for the future though certainly.
What I have been doing is trying 2 or 3 sensible tweaks recording the results, then resetting the data and trying some other sensible tweaks. It would seem that I am stuck trying to find a set of rules that gathers all of the profits from all of the leagues in one go. I honestly dont think this is possible so I have to make a choice on what 'best' is. Max profits or max ROI for example.
I think I will take your idea of each league to its own rules going forward. How many years do you take data from each league as being 'relevant'? More than 5 years back for example?
For my tuppence worth I found it to be really back fitting when I was combining stats, removing random things/numbers.
What I have made myself do this time is only remove numbers at the top or bottom end of each scale. Sometimes I think numbers are too high and sometimes too low. Even if I remove I mostly still collect the data so I can add it back much later.
Keeping your filter broad and tweaking it before placing trades is the way to go. Easier to see what's going on. I also use the excel smart filter as this helps me massively zoom in on potential issues.
Trick is seeing what is variance and what is just a case of where general improvement can be found.
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@Alex-Rendell Thanks for the reply Alex.
I have 1500 games total so not a massive amount of data but a fair bit.
I am trying to be very careful about the danger of back fitting the data with over tweaking, as you say this would in effect ruin the strategy. I have limited myself to making 2 or 3 sensible tweaks like you have suggested, and those are usually around an odds range or goals scored.I like your idea of each league having its own rules and I might adopt this long term. Dont think I have enough data on most of the leagues to properly look into that yet. One for the future though certainly.
What I have been doing is trying 2 or 3 sensible tweaks recording the results, then resetting the data and trying some other sensible tweaks. It would seem that I am stuck trying to find a set of rules that gathers all of the profits from all of the leagues in one go. I honestly dont think this is possible so I have to make a choice on what 'best' is. Max profits or max ROI for example.
I think I will take your idea of each league to its own rules going forward. How many years do you take data from each league as being 'relevant'? More than 5 years back for example?
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@Matt-Wood if you have a basic strategy/filter that is performing well then you're definitely on to something, so use that as your foundation. The problem with over-tweaking or back-fitting the data you've accumulated is that you're basically removing the variance and leaving yourself with potentially unreliable results. How many selections do you have overall? With the changes you're making to optimise the strategy, do they 'make sense' or are they just random and happen to have improved the bottom line for no apparent reason? Simple filtering such as odds ranges (over 2.5 goals and home odds markets) make perfect sense, for example, as these will 100% have an impact on the likelihood of a draw happening.
I personally adopt a different approach for each that league I'm trading, as they are all unique and behave differently - if this is going to be your main strategy and you have the time to dedicate to it, then I'd focus on each individual league (assuming there is enough data), work out which strategy works best and adapt your LTD approach accordingly.
This might not have actually answered your questions but hopefully it's been of some us! -
Afternoon all.
Just wondering if any of you suffer from 'analysis paralysis' at all and if yes how and what do you do to move past it?
I ask since I am struggling with it now. I had an idea for a LTD (even though the internet says its dead
) for the summer leagues since I don't do much in the summer.I have collected a fair amount of data now and just betting every game blind it has made 50pts.
I know with a couple of sensible tweaks to the data that return can double. The problem I am stuck with now is that I have become obsessed with maximising the return and therefor won't commit to making the change.For example if I apply a couple of filters to the data Ireland is in good profit for the summer but with a couple of different filters it is in a slight loss. This is reversed for other leagues. Repeat this over and over across multiple attempts and I have become stuck with trying to find a way to extract the maximum winning leagues in one go, even though I know there is probably not a 'best' way.
Just curious as to how others find their way through this sort of thing.
Cheers in advance.
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@Alex-Rendell thanks for getting back to me, so if the game is a draw, I'll lose the £10 stake?
Edit...
I get it now, thank you, I understand now -
@Simon-Bates in the example you've given, if Walsall win, you'll lose £60...if it's a draw then the bet is void, and if Walsall lose then you'll win your £10 stake (less commission). Hope this helps!
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Morning all, I've been trying and trialing different trades on Betfair the last few weeks just seeing how they work and how I can use them for trading.
I've seen the trade 'draw no bet' I know how this type of bet works but what I can't get my head round is the lay side of it.
I'll use this Walsall game as an example
If I back £10 on Walsall, I'll get £56 if they win, I'll get my £10 back if the game is a draw, and if they lose I'll lose my £10.I just can't get my head around the lay side, if the game isn't a draw, do I get my stake back, cos the trade is draw no bet, I know it's probably simple but it's giving me a mental block at the moment
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Going for SHG's in the:
Monaco v Le Havre match
Brighton v Notts Forest match
Heading out for dinner now!
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Those Finnish league matches seem to spend a long time being 'suspended'. I might drop the Finnish leagues altogether.
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@Matt-Wood said in *****New Football Thread*****:
@Martin probably something to do with Utd being awful
Good to see. Long may it continue
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