Most of the Rutgers people I see are here to argue with you and your everlasting quest to continue beating this particular very very dead horse.
If your goal is get rid of Rutgers people coming here to defend their program, I think there's a pretty obvious solution staring us all directly in the face.
I've been following Rutgers wrestling for a long time and have been a season ticket holder in the past. I was at the first RAC wrestling match against Lehigh many years ago. I thought Goodale was doing a pretty good job with the program (quietly) - through the 2016 season. They beat Cornell and Nebraska in dual meets that year, which was impressive. They did kind of shit the bed at nationals in 2016, but still. It seemed like something to really build on.
Then Goodale seemed to decide to become PT Barnum reborn - making outlandish statements about the strength of the program and creating narratives for the fans that were, to put it mildly, not in sync with reality. Even Pritzlaff joined in, guaranteeing a team trophy in Pittsburgh in 2019. The fans swallowed and regurgitated those narratives without question, even though the results were going downhill. And the results are not debatable.
You see it in this thread. The narrative this year was that "we're young and you can't expect much". Never mind that the freshmen were mostly redshirt freshmen and were ranked highly as recruits. There is no excuse for how Janzer, Aguilar and Aragona did as freshmen. When a three time Cali finalist gets one point at B1Gs in his redshirt freshman season; a two time NJ champ does the same; and a top 5 overall recruit does as poorly as he did his freshman year, there is something really wrong with the program. If it was one of the three falling on their face, it's one thing. But it's all three ....
Pick what you want to focus on. Is BIG or NCAA's more important or both? NCAA finishes in last 5 years- 15th, 19th, 11th, 9th, N/A. You mental gymnastics your way through some obscure points over the years and I love the time you waste to prove them. "Good" is something we have surpassed and maybe this is what bothers you.
It's not mental gymnastics, it's just looking at *all* the data and team finishes at NCAAs (unless it's something like top 5 over a period of years) isn't much of a reliable indicator.
15th was 2016. 2018 was because of one wrestler with little else and was the same as the B1G performance, 11th. 2019 was because of 2 wrestlers and little else. When they were gone, the cupboard was empty - as was painfully obvious this past season.
Lots of programs that are not "good" have had a few individuals succeed, but that success is usually, if not always, fools gold - especially when the program doesn't have more spread-out success across the team and a drop-off from those exceptions. In Rutgers' case, AA and Suriano were pretty much generational recruits/transfers. If you can somehow replicate the two best wrestlers in NJ high school history and get them to Rutgers, you can meet your "success" level of 2019. The problem is they are the two best in history and until someone comes along who is as good, you are out of luck. Look at it this way - Joe Dubuque, Jordan Burroughs, Donnie Pritzlaff, Damion Hahn and Matt Valenti, wrestlers who can't equal the high school resume of AA - went to programs other than Rutgers and won 2 individual titles in college. AA needed an extra year to win one. Mekhi Lewis won as a freshman at VT.
You have to look at the totality of the picture - dual meets (has Rutgers beaten a top ten team - and I mean top ten at the end of the year - in the last four years?); B1G performances by individual and team (team has been 5th, 8th, 11th, 8th and 12th from 2016-2020) ; NCAA performances by individuals and teams. When you do, you see the Rutgers is in the lower half to bottom 4 of the B1G programs - below average to well below average with the exception of 2015-16. I guess that's "good".
But you are correct, I do kind of waste my time assembling the data - because people cling to straw man arguments instead of looking objectively at a broad range of data.