Then the consensus is in your head. The patriots went from the best 3rd down team in football to the worst, and guess what, they let the league leader in YAC and first downs go to Denver. Go figure, can't imagine where the problem might be. Edelman isn't a slot receiver and Amendola has been battling injuries, now that Amendola is back they ahve a shot at fixing it, especially with the return of Gronkowski, but the idea they haven't missed Welker severely is delusional at best.
I agree, which is what I was highlighting in my OP the extra yardage that Welker made after the catch made a tremendous difference in both keeping us out of 3rd down situations and converting 3rd downs.
I don’t agree that Edelman is not a slot receiver; I think he is a very good slot receiver just not as good as Wes Welker, as far as Amendola I don’t think he will fix the problem completely. In 2011 and 2012 Welker combined for 1469 yards after the catch entering this season Amendola has 857 yards after the catch in his career. Welker ran after the catch for 900 more yards than Amendola had totaled since Amendola has entered the NFL. Danny will certainly help but he is a lesser player than Welker for a number of reasons in my opinion.
Danny Amendola - Advanced Receiving Breakdown
Year Rec. Yds TD 1st-D YAC Targets Catch% YAC% 1st-D%
2009 43 326 100.00% 20 183 63 68.25 56.13 46.51%
2010 85 689 300.00% 35 390 123 69.11 56.6 41.18%
2011 5 45 0.00% 3 18 6 83.33 40 60.00%
2012 63 666 300.00% 38 266 101 62.38 39.94 60.32%
TOT 196 1726 700.00% 96 857 293 66.89 49.65 48.98%
Wes Welker - Advanced Receiving Breakdown
Year Rec. Yards TD 1st-D YAC Targets Catch% YAC% 1st-D%
2005 29 434 0.00% 20 171 52 55.77 39.4 68.97%
2006 67 687 100.00% 33 285 100 67 41.48 49.25%
2007 112 1175 800.00% 65 640 145 77.24 54.47 58.04%
2008 111 1165 300.00% 57 758 149 74.5 65.06 51.35%
2009 123 1348 400.00% 71 721 162 75.93 53.49 57.72%
2010 86 848 700.00% 47 433 123 69.92 51.06 54.65%
2011 122 1569 900.00% 77 751 173 70.52 47.86 63.11%
2012 118 1354 6 72 719 175 67.43 53.1 61.02%
TOT 768 8580 38 442 4478 1079 71.18 52.19 57.55%
NE 672 7459 37 389 4022 927 72.49 53.92 57.89%