Sunday, August 16, 2009

NFL: Pythagorean Projection IV: Picking Games

Update 14 Feb 2010: on further review, I had a bug in the program I used to generate the numbers I had originally posted here. I was picking games using the projection for the same season (rather than using the previous season's projection). Naturally, this made the picks look better than they should. I have updated the table below to reflect picking one season's games based on the projection from the previous season's numbers.

I've also added the results for the 2009 season.

Introduction

  • Part I: how Pythagorean Projection did over the 1994-2008 seasons (this also contains an introduction of what Pythagorean Projection is).

  • Part II: a team-by-team look at how Pythagorean Projection dis for the 2007->2008 season.

  • Part III: the 2008->2009 projections

Using Pythagorean Projection to Pick Games

In this post, I will look at how the Pythagorean Projection does in picking the winner for individual regular season games for the following season. The method is very simple: the team with the highest projection is picked to win.

The following table details the tallies resulting for this method for then 1994-2008 seasons. As usual, tie games are counted as a push.

The 'correct percentage' is then computed, using the usual (w+t/2)/(w+l+t) formula.

SeasonRightWrongPush Correct %
199413391059.4%
199512583060.1%
199614595060.4%
1997129109254.2%
199814892061.7%
1999124108053.4%
2000143105057.7%
2001137110155.4%
200214099158.5%
2003136120053.1%
2004146110057.0%
2005149107058.2%
2006140116054.7%
2007142114055.5%
2008140115154.9%
200916492964.1%

Conclusion

As it turns out, Pythagorean Projection does a surprisingly good reasonable job picking games (producing results a bit better somewhat worse than last year's regular season numbers for APR.

More on this in a couple of weeks. I will post the picks for Week 1 based on the Pythagorean projections from last season (as well as the Line picks as usual).