๐
22/1/2022 15:00 |
![]() 1.29 |
X 5.00 |
Gillingham ![]() 9.00 |
This is the bet from our artificial intelligence for Wigan x Gillingham:
๐ฎ Wigan wins the match
๐ฐ When you bet the bonus of $500 from Bet365 on Wigan, you can win up to $645.00!
๐ Check out the full analysis on Betfellows: Prognostic for Wigan x Gillingham
Looking for more options of bookmakers for your bet on Wigan x Gillingham?
If you want to take a look at more options of betting websites, we, from the Clube, have listed our favorites for you. Right below you can check the best bookies from 2022, carefully analysed by us. Pick yours and start betting now on Wigan x Gillingham:
Analysis from Wigan x Gillingham for the England League 1 – 22 of January
๐๏ธ Wigan X Gillingham – England League 1 |
Even though it may not seem intuitive, a good betting model should not seek to get the result for Wigan x Gillingham right, but instead show us in which events we have a positive expected value opportunity.
To achieve that, the algorithm analyses more than 290605 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 Match Odds market for Wigan x Gillingham
Is it a good idea to bet on Wigan?
๐ต Wigan: the model predicted that the probability of this event happening is 94.52% and we know that avarage odds offered by the bookies are 1.29. This means that if you made 1000 bets of $1 like this, you:
- Would hit 950 times – this would give you a profit of $275.50
- And would lose other 50 times – losing -$50.00 with them.
It is a value bet, since after all you would have an expected final profit of ๐ฐ$225.50.
Is betting on draw worth it?
โช draw: the model predicted that the probability of this event happening is 4.0% and we know that avarage odds offered by the bookies are 5.00. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 40 times – profiting $160.00;
- And would lose other 960 times – having a loss of -$960.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of ๐ฐ-$800.00.
Should you bet on Gillingham?
๐ด Gillingham: the model predicted that the probability of this event happening is 1.48% and we know that avarage odds offered by the bookies are 9.00. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would have hit 10 times – having a profit of $80.00;
- And would lose other 990 times – losing -$990.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of ๐ฐ-$910.00.
Handicaps analysis for the match Wigan x Gillingham
Another important market to analyse is the Asian handicaps one, our algorithm is also going to help you with that. In case you do not know what handicaps are, we will solve this problem now: we sorted out the material about Asian handicap on betting so you can click and save it to learn about it on the first opportunity.
Moving ahead we can see what the model has in store for these markets here:
โ Handicap 1×2: -1.25 Wigan
โฝ Expected goals: 3.00 goals
Tips for the Handicap 1×2 market for Wigan x Gillingham
โ Handicap 1×2: considering the estimates of our model, the main handicap should be -1.25 Wigan, and the current handicap offered by bookies is -1.5 Wigan.
We can notice that the difference between the handicap predicted by the model and the one available to bet at the bookmaker is 0.25. Therefore, the recommended bet for the Handicap 1×2 is on: 1.5 Gillingham.
Tips for the Goals Handicap market for Wigan x Gillingham
โฝ Goals Handicap: our model believes that the ideal handicap is 3.00 goals and the available handicap to bet at the moment is 2.75 goals.
Since the difference between the handicap we calculated and the offered by the bookie is 0.25, this means that the best bet for the Goals Handicap is on: + 2.75 goals.
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Written by
Humberto Alves
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