Using Bookie Odds As A Starting Point

in #sports6 years ago (edited)

Here's a thought i had while reading the article about the punter who cracked the gambler's code on Bloomberg. In it, he mentioned using the bookie odds as a starting point and refining them, which i suppose is to identify any mispricing. Screenshot of that portion of the article:

image.png

Bookie odds from sofascore

In my earlier article on tools to analyze matches, i mentioned that sofascore has a section that shows how frequently a team clears the current odds that the bookies have on them to win. If you haven't seen it, it looks something like this:

image.png

If these stats are real, then betting on Boston River seems like a good deal. The two caveats being:

  • these statistics could be total bullshit or based on a small sample size
  • even if a team has a low probability of winning, they can still win or do enough to draw

Predictions with a few filters

These set of predictions have a few simple rules. If all are met, i'll add them to the list:

  • Odds to win > 2.0
  • Probability of clearing odds > 40%
  • Must have more than 25% higher chance to clear odds than opponent
  • Team can't be on a losing / no-win streak
  • Opponent must be on a 'no clean-sheet' streak

Here's the list for tonight till Saturday afternoon:

MatchPredictionOddsOutcome
Boston River vs JaguaresBoston River2.04W
Tijuana vs TolucaTijuana2.29W
Rudes vs BelupoRudes2.6W
JEF Chiba vs Albirex NiigataJEF2.04

Final thoughts

My first reaction when preparing the list was that the 25% filter seems to weed out a lot of matches. Thinking of relaxing that to 15%. Although, if we get a win rate of 75% or more from this sample, i'll continue monitoring with a strict criteria. After all, the first rule of making money is to not lose money!

Odds shift over time and as that happens, the probability of a team clearing those new odds shift as well. This snapshot is compiled with up to a 36 hour lead time, so it would be interesting to see if there's a major shift in the odds before kick-off.

Just an observation - 2 teams with probability to clear odds less than 30% tend to draw. Something to think about when building a more comprehensive model.

Time to tackle @beat-the-bookies competition :)


Update 1:
3 wins out of 3 so far. Seems like there is some value in keeping to a strict filter.
The odds for the last match have changed and they don't fit the criteria anymore. Maybe the call has to be made with less than 24 hours before kick off. Either way, let's see how it does.

Sort:  

Great post @numpypython!

Looking at how teams have performed at certain odds ranges is something I do often. I haven't figured out yet whether it's better to use odds ranges or current league position, but I would expect them to yield roughly the same results. I plan to do some testing however in this area!

Thanks, @acelad! That's a great idea.... football-data.co.uk has the odds and the results readily available. A bit of work to compile the data and sort them, but i'm sure it'll be worth it.

Yeah i think you're right about the odds... the opening odds would have included current league position as a factor but not sure how much weight they assign to it versus H2H, injuries, form etc.

I'm glad you posted this here, as I wasn't aware of this website. I used it for direction on a few bets this week, mixed results so far but definitely interesting to go into further detail with it to see is there merit/value in their predictions

Thanks @funaccountant. I hope it'll be useful in your betting. My own experience was that just using the percentages that a team/player wins have been pretty unreliable. Or rather, they've helped me get a better winning rate than simply random, but not enough to be profitable.

I wasn't aware of that feature with sofascore.. Bout time I started using that app again! Hereby downloaded. Thanks :)

Hope it'll be useful! The app / browser version doesn't seem to work properly on my phone though

If these stats are real, then betting on Boston River seems like a good deal.

Indeed. If the stats aren't BS we should just give up on creating the models and bet on the teams that win more often than the bookies think they do :-)

For sure. I suppose even with an 80% chance of clearing the odds like PSG usually do, they still manage to screw up once in a while lolol.

edit: theoretically, betting on odds greater than 2 where the team beats the bookies more than 60% would be a winner.

You got a 2.70% upvote from @postpromoter courtesy of @numpypython!

Want to promote your posts too? Check out the Steem Bot Tracker website for more info. If you would like to support the development of @postpromoter and the bot tracker please vote for @yabapmatt for witness!

Coin Marketplace

STEEM 0.34
TRX 0.11
JST 0.034
BTC 66361.53
ETH 3253.14
USDT 1.00
SBD 4.43