📊 Check out the analysis from this match on Betfellows: Complete prognostic for Cray Wanderers x Leatherhead
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Analysis from Cray Wanderers x Leatherhead for the England Isthmian Premier Division – 19 of January
🏟️ Cray Wanderers X Leatherhead – England Isthmian Premier Division
Even though it may not seem intuitive, a good betting model should not seek to get the result for Cray Wanderers x Leatherhead right, but instead show us in which events we have a positive expected value opportunity.
To achieve that, the algorithm analyses more than 289909 matches from Betfellows database, our collaborative prediction platform, seeking for patterns to get to the winning probabilities for the home team, a tie or a victory for the away team. That was the conclusion from our artificial intelligence:
Tips for the 1×2 market for Cray Wanderers x Leatherhead
Is it worth betting on Cray Wanderers?
🔵 Cray Wanderers: the algorithm believes the chances of this event happening are 67.26% and we have noticed that the avarage odds offered by the bookmakers are 1.75. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 670 times – profiting $502.50;
- And would have lost other 330 times – with a loss of -$330.00 because of them.
Mathematically speaking, this is a value bet because you would have an expected final profit of 💰$172.50.
Is it a good idea to bet on draw?
⚪ draw: the algorithm believes the chances of this event happening are 20.39% and we have noticed that the avarage odds offered by the bookmakers are 3.85. This means that if you made 1000 bets of $1 like this, you:
- Would hit 200 times – profiting $570.00;
- And would lose other 800 times – losing -$800.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of 💰-$230.00.
Is betting on Leatherhead worth it?
🔴 Leatherhead: our artificial intelligence has calculated that the probability of this event happening is around 12.35%, meanwhile the bookies are offering avarage odds of 3.75. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 120 times – this would give you a profit of $330.00
- And would lose other 880 times – losing -$880.00 with them.
That is why this bet does not have value. In the end, you would have had a final loss of 💰-$550.00.
Handicaps analysis for the match Cray Wanderers x Leatherhead
Maybe you prefer another approach: betting on Asian handicaps. We thought about it and our model also seeks to find the main handicaps of the most important markets. If you have no idea what a handicap is, do not worry! We have a complete article about the Asian handicap on sporting betting that will answer all your questions. You can click on it and leave it open on another tab so you can read later.
Take a look at what our artificial intelligence has set apart for these markets:
⚖ Handicap 1×2: 0.0 Cray Wanderers
⚽ Expected goals: 3.25 goals
Tips for the Handicap 1×2 market for Cray Wanderers x Leatherhead
⚖ Handicap 1×2: considering the estimates of our model, the main handicap should be 0.0 Cray Wanderers, and the current handicap offered by bookies is -0.75 Cray Wanderers.
We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is 0.75. Therefore, the recommended bet for the Handicap 1×2 is on: 0.75 Leatherhead.
Tips for the Goals Handicap market for Cray Wanderers x Leatherhead
⚽ Goals Handicap: considering the estimates of our model, the main handicap should be 3.25 goals, and the current handicap offered by bookies is 3.25 goals.
Since there is not big differences between the handicap offered by bookies and the one suggested by our algorithm, we can consider that there is no value to bet on the Goals Handicap market.
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Hi there! You can call me Beto! I'm 32 years old, graduated in Business Management and now I'm doing my second degree in Statistics and Data Science, which is really helpful to bring the Machine Learning models applied in sports betting that you see here. Even though I'm in this betting world since 2010, there's still a lot to be learned.> Check other content created by Humberto Alves