Whenever you try to adjust statistics across seasons using normalization, which is what I think they did, you can get results like that.ChrisBabcock wrote:I think some sort of adjustment for era is going on behind this statement. Like, average team passing yards per game in 2017 was 191% of what it was in 1973. 6,175 is 191% of 3,219. Yeah it could have been explained better. Either way, he really did have an amazing 1973 season.JKelly wrote:Roman Gabriel's league leading 3,219 passing yards in 1973 would have translated to a 6,175 yard passing season in 2017.
Umm maybe I'm being thick but could someone explain this one to me? It's not like the NFL stats work like inflation or they shortened the length of a yard. If you plop Roman into 2017 and he throws and completes the exact same number of passes other than the lack of tackling skills his stats should be the same more or less.
If your going to throw all the defensive rules changes and the fact that if Roman Gabriel played under the same rules as Tom Brady he would have won a Super Bowl with the 1999 Rams then okay I get it but there are a lot of unknowns to come up with 6,175 yards
I have an Excel program that is still in the developmental stage called the QB Time Machine, it works pretty well with 1950 to 2018, I think, but if you try to go before 1950, you start getting serious problems, and I never figured out a way to get around those problems. You can use it to project what Fran Tarkenton's career might have looked like had he started his career in 1994, or what Peyton Manning's career might have looked like had he started his career in 1953. There is no analytical value to it, but it is fun to play around with, but it doesn't work it you try to project Brett Favre's career if he started in 1934, or if you try to project Sammy Baugh's career if he were to have started his career in 1998, because you start getting ridiculous results, like seasons where Favre throws 50 interceptions in 10 or 12 games, or Baugh throws for like 13 yards per attempt.
