ESBC NFLAnd Sports Betting Podcast Network

ESBC NFLAnd Sports Betting Podcast Network

By Josh AbnerSportsBusinessNewsInvesting
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ESBC NFLAnd Sports Betting Podcast Network episodes

  • College Football Picks Wk11 70% Is The Goal Crack The Code Get An Edge
    61-40=59.4%=$12,610 profit Year To Date
    Tonight-Today Ask yourself / who is making you money?
    The video discusses a podcast available on Apple and Spotify, "ESBC NFLand Sports Betting Podcast Network," which offers betting advice.
    Top Ten Rules Of Betting
    ⁠⁠⁠⁠⁠medium.com/me/stats/post/bdc7d132490⁠⁠⁠⁠⁠
    ⁠⁠⁠⁠⁠www.ecosystemsbusinessconcierge.com⁠⁠⁠⁠⁠
    @⁠⁠josuevizcay⁠⁠ ig twitter
    Gorgeous Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter
    ⁠⁠⁠⁠⁠www.maefinearts.com⁠⁠⁠⁠
    43 min
  • College Football Picks Week 11 70% (52.5% is breakeven)

    Ask yourself / who is making you money? 61-40=59.4%=$12,610 Profit

    Bet The Process This is the CNBC Bloomberg Fox Business Of Sports Betting Making the lives of Sports fans better by giving them free actionable complete comprehensive information on every game to build their bank rolls

    The same process using decision science and math you use to pick and investment is the same process you use to pick the teams that has the highest probability of monetizing your time watching the game

    The same process using decision science and math you use to pick and investment is the same process you use to pick the teams that has the highest probability of monetizing your time watching the game all the Podcast are posted; available on all Podcast Networks

    42 min
  • Crack The Code NFL Every Pick Against The Spread Every Game Side And Total 70%

    We are 164-98=62.5%=$57,800 profit is the bottom-line everything else is inconsequential 

    Game Predictions: Hosts might provide their insights and predictions on upcoming games, including the expected winners, point spreads, and over/under totals

    .BettingStrategies: Advice on various strategies for betting on football,including how to analyze teams, players, and other factors that mightinfluence the outcome of games.

    Statistical Analysis: In-depthanalysis of team and player statistics, trends, and other data to helplisteners make informed betting decisions.

    Guest Appearances: The podcast might feature guest appearances by experts in the field of sports betting, professional sports analysts, or former players who can provide unique insights and perspectives.

    Betting Education: Information to educate listeners on the basics of sports betting, including understanding odds, managing bankrolls, and responsible gambling practices.

    Game Recaps: Analysis of recent games, including what went as expected, surprises, and implications for future betting.

    Top Ten Rules Of Betting

    ⁠⁠⁠⁠medium.com/me/stats/post/bdc7d132490⁠⁠⁠⁠
    ⁠⁠⁠⁠www.ecosystemsbusinessconcierge.com⁠⁠⁠⁠
    @⁠⁠josuevizcay⁠⁠ ig twitter
    Gorgeous Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter
    ⁠⁠⁠⁠www.maefinearts.com⁠⁠⁠⁠

    28 min
  • Crack The Code NFL Every Pick Against The Spread Every Game Side And Total 70%
    We are 164-98=62.5%=$57,800 profit is the bottom-line everything else is inconsequential
    Game Predictions: Hosts might provide their insights and predictions on upcoming games, including the expected winners, point spreads, and over/under totals
    .BettingStrategies: Advice on various strategies for betting on football,including how to analyze teams, players, and other factors that mightinfluence the outcome of games.
    Statistical Analysis: In-depthanalysis of team and player statistics, trends, and other data to helplisteners make informed betting decisions.
    Guest Appearances: The podcast might feature guest appearances by experts in the field of sports betting, professional sports analysts, or former players who can provide unique insights and perspectives.
    Betting Education: Information to educate listeners on the basics of sports betting, including understanding odds, managing bankrolls, and responsible gambling practices.
    Game Recaps: Analysis of recent games, including what went as expected, surprises, and implications for future betting.
    Top Ten Rules Of Betting
    ⁠⁠⁠⁠medium.com/me/stats/post/bdc7d132490⁠⁠⁠⁠
    ⁠⁠⁠⁠www.ecosystemsbusinessconcierge.com⁠⁠⁠⁠
    @⁠⁠josuevizcay⁠⁠ ig twitter
    Gorgeous Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter
    ⁠⁠⁠⁠www.maefinearts.com⁠⁠⁠⁠
    28 min
  • NFL Betting Wrap UP Crack The Code -Hawthorne Effect Week 9

    We are 164-98=62.5%=$57,800 profit


    Whatever you track and measure you improve the performance 10 to 20%
    "Return to the mean"


    is a concept in statistics that refers to the phenomenon where, over time, extreme or unusual observations tend to move closer to the average or mean value. It's also known as "regression to the mean" or simply "regression."
    This phenomenon is often observed in situations where there is random variation or noise in data. Here's how it works:
    Initial Observation: In a given dataset, you may have some data points that are exceptionally high or low, deviating significantly from the mean.
    Repeated Observations: If you were to take additional measurements or observations of the same phenomenon, some of those new measurements are likely to be closer to the mean, even if the initial measurements were far from it.
    Explanation: The return to the mean occurs because extreme values are often due to random fluctuations or variability. These extreme values are not likely to persist over time. As more data points are collected, the random noise tends to balance out, and the values converge toward the mean.


    Example: Imagine you are tracking the performance of a group of students on a test. Some students may perform exceptionally well on the first test, while others perform poorly. However, when you administer a second test, you may find that the students who scored extremely well on the first test are less likely to do as well on the second test, and vice versa. This is an example of the return to the mean in action.


    It's important to note that the return to the mean is a statistical concept and doesn't imply causation. Just because an extreme value regresses toward the mean doesn't mean that any specific action was taken to cause that regression. It's often a natural consequence of random variation in data.
    Understanding the return to the mean is crucial in various fields, including finance, sports, and medicine, where it can help in making more informed decisions and avoiding the misinterpretation of data.

    josuevizcaytwittermiamidolphinsgamblingdallascowboysgamblingesbcnflandsportsbettingpodcastsportsbettingadvice
    13 min

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Ask yourself / who is making you money ?