1. ECE 539 Presented: 12/14/2010 Joseph Quigley

2. Objective Train a multi-layer perceptron network to predict the regular season records of NFL Football teams. (Within a range.) Wins in a season: 0-3 4-8 9-12 13-16

3. Purpose Creates a simple way to turn projected fantasy football statistics into projected wins and losses. To have the ability to create hypothetical teams and estimate how many games they would win in a season. What if the 2008 Lions (winless) went back in time and traded defenses with the 2000 Ravens (one of the best defenses in recent history)? What if the 2007 Patriots (only 16-0 team ever) traded defenses with the 2006 Redskins (one of the worst defenses in recent memory, and in the last 10 years of fantasy football)?

4. Data Fantasy Football statistics (2005-2010): Quarterback Running back Wide Receiver Tight End Kicker Defense/Special Teams Team Vector

5. What-if Analysis Can’t just add another teams fantasy defense/ST value. Needed to modify offensive production based on turnovers. Calculated number of offensive possessions in a season, then the fraction of fantasy points per possession. Multiplied this by the difference in turnovers between the new and the old defense.

6. Preliminary What-if results: 2008 Lions/2000 Ravens – Win: 6.6-9.6 games 2008 Lions/2000 Broncos – Win: 7.4-10.4 games 2007 Patriots/2006 Redskins – Win: 6.4-9.6 games.

7. Predicting the 2010-2011 Season

8. Questions?