ESBC NFL & Sports Betting

NFL Crack The Code Every Pick Against The Spread Every Game Side And Total 70% Wk14

236-148=384 picks Through  Week 13 2023
384/236=61.4% (52.5% is breakeven) (59% sharp) (70% Elite)$1000 per game / $950 per average win =$76,000 profit! because $364,000 minus $236,000 bitter loses = $76,000 #blessed heading into week 14
@josuevizcay ig twitter

Crack The Code College Football Every Pick Against The Spread Every Game Side Total Championship Wk

66-55-1=62%= 10 grandish profit is the bottom line
84-55=60.4%=$10,300 ytd is the bottomline other than laughs, happiness & cheer everything else is inconsequential
Ask yourself / who is making you money? 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.
@josuevizcay ig X
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

NFL Crack The Code Every Pick Against The Spread Every Game Side And Total 70% Week13

220-138=61.7% is the bottom line everything else is inconsequential. Except for laughter and cheer
⁠⁠⁠ESBC NFL & Sports Betting Finance Education
Network⁠⁠ 180-109=62.2%=$62,000 profit betting $1000 per game@⁠⁠josuevizcay⁠⁠ ig twitterGorgeous Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter⁠⁠⁠⁠⁠⁠www.maefinearts.com⁠⁠⁠⁠⁠⁠
Top Ten Rules Of Betting
https://josuevizcay.medium.com/top-10-rules-for-betting-gambling-nfl-cfb-and-college-basketball-bdc7d132490

College Football Crack The Code Gambling Picks Week 12 Rivalry Week

79-48=61.5%=$11,500 is the bottom other than laughs, happiness and cheer everything else is inconsequential
@⁠⁠josuevizcay⁠⁠ ig twitter Gorgeous Sweet Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter ⁠⁠⁠⁠⁠⁠⁠www.maefinearts.com⁠⁠⁠⁠⁠
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Crack The Code NFL Every Pick Against The Spread Every Game Side And Total 70% Thanks Giving Week12

180-109=62.2%=$62,000 profit betting $1000 per game besides laughter and cheer everything else is inconsequential 
@⁠⁠josuevizcay⁠⁠ ig twitterGorgeous Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter⁠⁠⁠www.maefinearts.com⁠⁠⁠Top Ten Rules Of Betting⁠⁠⁠medium.com/me/stats/post/bdc7d…m⁠⁠⁠@⁠josuevizcay⁠⁠ ig twitter
 

NFL Betting Wrap UP Crack The Code -Hawthorne Effect Week11

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.
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Crack The Code NFL Every Pick Against The Spread Every Game Side And Total 70%

180-109=62.2%=$62,000 profit beting $1000 per game
@⁠⁠josuevizcay⁠⁠ ig twitter Gorgeous Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter ⁠⁠⁠www.maefinearts.com⁠⁠⁠ Top Ten Rules Of Betting ⁠⁠⁠medium.com/me/stats/post/bdc7d…om⁠⁠⁠@⁠josuevizcay⁠⁠ ig twitter

College Football Crack The Code Gambling Picks Week 12

73-42=63.4%=$12,610. more than that a lot of laughter and cheer on a couple of levels
@⁠⁠josuevizcay⁠⁠ ig twitterGorgeous Sweet Mellisa Mel B.@⁠⁠maelanius_⁠⁠ Twitter⁠⁠⁠⁠⁠⁠www.maefinearts.com⁠⁠⁠⁠

NFL Betting Wrap Up Crack The Code Week 10

180-109=62.2%=$62,000 profit heading into Week 11 (Whatever you track and measure you improve its performance by 10 to 20%
@josuevizcay X ig

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