Lille OSC - Nantes
France. Ligue 1
France. Ligue 1
Calculating the optimal amount
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Match review: Lille OSC - Nantes (27 May 2023)
Prediction from our service is ready
Lille OSC and Nantes will meet on the football field today. The match will start at 19:00 UTC (27th May). Bookmakers consider the hosts to be clear favorites in this game. The coefficient for the victory of Lille OSC is 1.485.
Recently, the teams have met 6 times. Lille OSC won in 4 matches. The most productive match between the teams took place on 12-го августа and ended with a score of 1:1 in favor of . If we talk about the most inconclusive match, it ended with a score of 0:1. The Lille OSC was defeated then.
The hosts have won only 3 games in the last 6 matches. However the team usually scores no more than 1.33 goals per game. Lille OSC have missed too many in their last games, an average of 0.67 times per game.
Nantes are not in its best shape right now, they were able to win only 0 out of 6 matches. However they score an average of no more than 0.5 goals per game. The team's defense is at a high level, they don't miss so often.
When analyzing this match, a lot of factors should be taken into account. The forecast of our system is already ready, you can view it right now.
Personal meetings: Lille OSC - Nantes
History of personal meetings of the teams
Last matches of teams
Where to place a bet
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You must specify the initial parameters
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In order for the system to correctly calculate the optimal bet amounts, you need to set the initial vector and the main currency of the calculation. This will take no more than one minute.
Choosing the main currency
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Setting the initial vector
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Initial vector - this is the amount of your first bet or the average bet size. It is recommended to set the value of the vector in the amount of 3-5% of your bank. The larger the amount, the greater the risks, but the income can also be higher. You will not be able to change this value during the subscription process.
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Convert an amount to another currency
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Choosing the method of repayment of the loss
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