Now, I have never bet in my life, and wouldn’t want to start. Due to curiosity about whether there is an optimal betting strategy I came across this paper by Kaunitz, Zhong, and Kreiner ( https://arxiv.org/abs/1710.02824 ) titled Beating the bookies with their own numbers - and how the online sports betting market is rigged.
The paper basically argues that most betting strategies aim at beating bookies at prediction, something that they are very good at.
A “fair bet” is described as a zero-sum: the total payout for winnings equals the total money placed on bets, leaving the bookie with nothing. However, in real life we see that the bookie always makes away with most of the money placed on bets, because he has priced his odds to maximise his gains.
Starting from the argument that bookies are already too good at prediction to defeat, the authors propose a strategy which aims to find a bet that is ‘mispriced’ in favour of bettors.
This mispricing usually comes about when a bookie posts higher odds for a certain outcome to encourage people to bet on it and reduce his exposure in case many bettors win.
Nimejaribu summary ya vile nimeelewa hiyo paper. A disclaimer: this is NOT a way to win bets consistently. No one can do that 100%. However, by exploiting mispriced bets, you can have an overall profit margin in your bets.
The bets and analysis they did is linked in the paper, plus their tool that they made to scour the bookies’ websites and place bets. Hizo sijaangalia lakini, kama mtu ako curious na anajua statistics na programming kazi kwako.
Apparently after employing their strategy some bookies began to severely restrict their bets or ban them altogether. What I gathered from them is that if you have been betting for many years, chances are you have been losing money on average. If you win too much they begin restricting you because of course they have all the analytic tools. Unless kuna mtu hufanya self audit of bets.
So the strategy?
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Assume the bookies already have a good idea of odds of something occurring. Therefore for any outcome you want to bet on, find as many bookies as possible (3 and above, say SportPesa, Betin, and Betway) offering the bet, and find the average of the odds. Like for instance kama ni home win angalia hizo zote and find the average for that home win across bookies.
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The consensus probability of an outcome is the reciprocal of the average found in 1 above. This is the figure that bookies generally have agreed is the probability. So of course low odds implies higher probability.
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Take the figure in 2 above and subtract 0.05. This is the average intercept of the regression line of the probability above. The authors found it was the optimal figure that gave you the most games to bet on.
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Find the reciprocal of 3 above.
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Only place bets where the odds offered by a bookie are greater than 4 above.
Example:
Today I see kuna Schalke v. Freiburg, with the following odds:
1 X 2
SportPesa 1.93 3.38. 4.29
Betin 1.85 3.40 4.65
1XBet 1.93 3.44 4.68
BetWay 1.89 3.43 4.37
1.For that home win, average is (1.93+1.85+1.93+1.89)/4 = 1.9
2.The consensus odds are the reciprocal 1/1.9 = 0.5263…
(i.e. the bookies on average think there’s a 52% chance of a home win).
3. Subtract the intercept of 0.05. (Their models showed it to be the optimal figure though it varies). So we get 0.4763…
4. Find reciprocal 1/0.4763…= 2.099
From the above, no bet in the list is overpriced. That’s why it’s better to check across many bookies, as you’ll very likely find one.
The best results were achieved using the closing bets, i.e. as close to the match as possible. Why? Bookies change odds based on how people are betting. They may for instance increase an odd for a team to win if too many people bet otherwise, so as to minimise his exposure in case the match goes as per what people expect.
(Typing on mobile is a bitch, I hope at least one of you reads all this crap I’ve written :D:D)
Guinea pigs hebu jaribuni hii mtuletee results.