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Pythagorean theorem and NFL season wins

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Uploaded by on Jul 19, 2008

Geometry can help predict how many games a team will win in a season of any sport. This shows how to apply this to the 2008 NFL season.

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Gaming

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Uploader Comments (SbrJustin)

  • It doesn't work like that. Too much to consider including Buffalo having an easy schedule and the development of Trent Edwards and their offseason additions.

  • The more time you spend on analysis, the better you will obviously do. For the most part, developing players and draft picks have a minimal impact on a team's performance - it is gradual over time. Strength of schedule is much more problematic.

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  • he won 2 out of the 3 bets. phili had 9 wins

  • the use of pythagorean theorem to predict a team's future win/loss is flawed. the 2 variables used to perform the calculation (pf=points for & pa=points against) offers little, if any, value in predicting a team's future win/loss.

    this is because a team's schedule changes every season and the difficulty level or strength of schedule will heavily dictate a team's future win/loss. a team's strength of schedule is more meaningful to determine future wins/losses than using pythagorean theorem.

  • wat? no

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