Game Predictor debuted in Week 3 and will continue for the rest of the season. It is our primary tool to establish how each team will attempt to play their game (rush/pass) that week. It factors in opponent, YTD data, recent games played, critical injury information, home/away situations, and rescore data. I believe it to be one of the best simulation tools available on the internet and has been refined since it's birth on the mrfootball.com website 5 years ago. Record to date against the NFL Point Spread: 127-97-4 (56.6%) Week 3: 10-3-1 Week 4: 10-4 Week 5: 6-7-1 Week 6: 9-5 Week 7: 4-9-1 Week 8: 8-6 Week 9: 9-4-1 Week 10: 8-6 Week 11: 7-9 Week 12: 12-4 Week 13: 7-9 Week 14: 8-8 Week 15: 9-7 Week 16: 7-9 Week 17: 10-6 Playoff 1: 3-1 David Dodds Creator of the Game Predictor Simulation Tool Updated Wednesday, January 8th 3:45pm PST
Team | Pass Att |
Pass Comp |
Pass Yds |
Pass TDs |
Int | Rush Att |
Rush Yds |
Rush TDs |
Score |
Pittsburgh | 34 | 21 | 220 | 1.3 | 1.3 | 26 | 99 | 0.7 | 18.8 |
at Tennessee | 32 | 21 | 220 | 1.3 | 0.9 | 30 | 117 | 1.0 | 22.1 |
NY Jets | 32 | 20 | 224 | 1.3 | 0.9 | 24 | 90 | 0.8 | 19.6 |
at Oakland | 36 | 23 | 245 | 1.4 | 0.7 | 28 | 114 | 1.2 | 23.4 |
Atlanta | 32 | 19 | 189 | 1.1 | 1.0 | 27 | 123 | 0.6 | 18.2 |
at Philadelphia | 33 | 19 | 215 | 1.5 | 1.3 | 31 | 136 | 1.0 | 22.5 |
San Francisco | 31 | 18 | 200 | 1.2 | 1.1 | 27 | 112 | 0.5 | 16.9 |
at Tampa Bay | 36 | 22 | 225 | 1.5 | 0.9 | 27 | 109 | 0.7 | 21.2 |