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: 124-96-4 (56.3%) 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 David Dodds Creator of the Game Predictor Simulation Tool Updated Wednesday, January 1st 7:15pm PST
Team | Pass Att |
Pass Comp |
Pass Yds |
Pass TDs |
Int | Rush Att |
Rush Yds |
Rush TDs |
Score |
Indianapolis | 35 | 23 | 220 | 1.3 | 1.0 | 25 | 102 | 0.8 | 18.7 |
at NY Jets | 31 | 21 | 228 | 1.8 | 0.3 | 30 | 118 | 1.1 | 24.0 |
Atlanta | 31 | 17 | 182 | 1.3 | 1.1 | 27 | 124 | 0.8 | 18.8 |
at Green Bay | 35 | 21 | 214 | 1.8 | 1.3 | 30 | 134 | 0.8 | 22.8 |
Cleveland | 31 | 18 | 187 | 1.3 | 1.2 | 23 | 91 | 0.8 | 18.4 |
at Pittsburgh | 35 | 21 | 221 | 1.4 | 1.2 | 33 | 140 | 0.9 | 21.2 |
NY Giants | 32 | 19 | 211 | 1.4 | 0.9 | 27 | 108 | 1.0 | 21.1 |
at San Francisco | 39 | 23 | 224 | 1.5 | 0.9 | 29 | 125 | 0.7 | 20.6 |