How to use the FMFR Method (a losing example)

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  • Опубликовано: 11 фев 2025
  • We don't always win. In fact most people only win between 20% and 30% of their bets, which means they lose up to 80% of the time!
    But just because a specific bet loses, doesn't mean that the process was incorrect. Consistency of process, combined with continual practice and learning create improvement.
    This video shows how you can use the FMFR method to analyse any bet before you place it in order to determine the risk of placing a bet. Don't look for a winner, look to predict how the race will be run, this will give you the advantage of knowing the risk of any horse not winning and to determine if their odds are high enough for you to place the bet.
    Nobody ever shows the process without a winner, here's an example of where the process was correct, but we came out with the wrong horse. If you want to see the same process used with winners being found, then please browse through the channel where you will find many examples.
    Visit the Race Advisor at www.raceadviso... to access awesome free horse racing race cards and results every single day.
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Комментарии • 4

  • @arthurockwell3024
    @arthurockwell3024 7 месяцев назад +1

    Thank you Michael, that is very useful. I tend to go wrong in FMFR because of confirmation bias, I am looking for anything to support my selection and often just look at that 1 horse. Does this horse do OK over the distance/going/class? Good, then bet it without even looking at the opposition! Doesn't work out so well. I knew I was doing FMFR incorrectly, so this video will really help me to refocus my analysis.

    • @raceadvisor
      @raceadvisor  7 месяцев назад

      Thank you for the message. You're right, you definitely need to look at the other horses as well :)

  • @yessanknow302
    @yessanknow302 3 месяца назад

    The longest five minutes in history!

    • @raceadvisor
      @raceadvisor  3 месяца назад +1

      Thank you for your comment. It's great you watched it until the end!