📊 Check out the analysis from this match on Betfellows: Complete prognostic for Konkola Blades x Lusaka Dynamos
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Analysis from Konkola Blades x Lusaka Dynamos for the Zambia Super League – 15 of January
🏟️ Konkola Blades X Lusaka Dynamos – Zambia Super League
Even though it may not seem intuitive, a good betting model should not seek to get the result for Konkola Blades x Lusaka Dynamos right, but instead show us in which events we have a positive expected value opportunity.
To achieve that, the algorithm analyses more than 287992 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 Konkola Blades x Lusaka Dynamos
Is it worth betting on Konkola Blades?
🔵 Konkola Blades: our artificial intelligence has calculated that the probability of this event happening is around 33.07%, meanwhile the bookies are offering avarage odds of 2.75. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 330 times – this would give you a profit of $577.50
- And would lose other 670 times – losing -$670.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$92.50.
Is betting on draw worth it?
⚪ draw: the model predicted that the probability of this event happening is 38.73% and we know that avarage odds offered by the bookies are 2.50. In other words, this means that if you made 1000 bets of $1 like this, you:
- Would hit 390 times – this would give you a profit of $585.00
- And would lose other 610 times – having a loss of -$610.00 with them.
Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of 💰-$25.00.
Is it worth betting on Lusaka Dynamos?
🔴 Lusaka Dynamos: our artificial intelligence has calculated that the probability of this event happening is around 28.19%, meanwhile the bookies are offering avarage odds of 2.90. That is, when you make 1000 bets of $1 like this one, you:
- Would hit 280 times – this would give you a profit of $532.00
- And would lose other 720 times – having a loss of -$720.00 with them.
We are talking about a bet without profit, because after all you would have an expected final loss of 💰-$188.00.
Handicaps analysis for the match Konkola Blades x Lusaka Dynamos
Another important market to analyse is the Asian handicaps one, our algorithm is also going to help you with that. 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.
These are the handicaps that our algorithm analysed for you:
⚖ Handicap 1×2: 0.0 Konkola Blades
⚽ Expected goals: 2.25 goals
Tips for the Handicap 1×2 market for Konkola Blades x Lusaka Dynamos
⚖ Handicap 1×2: our model believes that the ideal handicap is 0.0 Konkola Blades and the available handicap to bet at the moment is 0.0 Konkola Blades.
Since the handicap offered by bookmakers is the same as the one we got with our model, there is not any value bets on the Handicap 1×2 market.
Tips for the Goals Handicap market for Konkola Blades x Lusaka Dynamos
⚽ Goals Handicap: considering the estimates of our model, the main handicap should be 2.25 goals, and the current handicap offered by bookies is 1.75 goals.
Since the difference between the handicap we calculated and the offered by the bookie is 0.50, this means that the best bet for the Goals Handicap is on: + 1.75 goals.
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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