Good to see us on the right side of the graph this week.
Also, on uga
It graphs the winner and loser of a game in terms of their overall success rate throughout the entire game. Here's how they define success rate.Can you interpret this graph for me, please?
So, the convergence at -0- is the difference between "right" and "left."It graphs the winner and loser of a game in terms of their overall success rate throughout the entire game. Here's how they define success rate.
The winner of the game is the team away from the baseline of 0. The teams on the right, significantly above the baseline of 0 indicate they were much more successful on a down to down basis throughout the entirety of a game. The teams on the left, below the baseline, generally were not as successful on a down to down basis but still came out with win. Could be due to turnovers, red zone lack of success, starting field position, etc. In theory, for the teams on the right if they played that game 10 times the winner would still win a majority of those games. For the teams on the left one would think if they played that game 10 times they would win a minority.
"Did we really get beat that bad?" is the title. If you lost and you're on the right, yes you got beat pretty bad. If you lost and you're on the left, no you didn't get beat that bad at all but had some tough breaks that lost the game.
Yes...-ish. If i'm understanding your question. My understanding is the losing team is the base of 0 and the winning teams' Net Success rate through the whole game is reflected off of that. So the teams in the middle that are both real close to zero had a very even game, according to "success rate"So, the convergence at -0- is the difference between "right" and "left."
So, the convergence at -0- is the difference between "right" and "left."
Usually, the team that wins plays a more efficient overall game—more first downs, more yards per play, etc. That’s why the right side above the axis has much more area than the section below the axis on the left.Yes...-ish. If i'm understanding your question. My understanding is the losing team is the base of 0 and the winning teams' Net Success rate through the whole game is reflected off of that. So the teams in the middle that are both real close to zero had a very even game, according to "success rate"
I was wondering about that. I think Birr was doing the kick-offs this game. He has not been doing that so far this year. I was wondering if an injury or something else to the usual kick-off guy.What about ST? We are getting a lot better. Certainly compared to last year where we couldn't even kick EPs.
Anyone know why in the UVa game we had the two short Kick Offs? Ones before and after were TBs.
Stewart handles kickoffs. He had the short kicks against UVA and one against UNC as well. No idea why.I was wondering about that. I think Birr was doing the kick-offs this game. He has not been doing that so far this year. I was wondering if an injury or something else to the usual kick-off guy.
According to the play-by-play, Birr handled the first three kickoffs in the UVA game. They weren't great. Then we went back to Stewart. I wonder if Stewart has a nagging injury that might be cause for holding him out? Or maybe it's an accuracy vs. distance thing - Stewart has been getting touchbacks pretty consistently.Stewart handles kickoffs. He had the short kicks against UVA and one against UNC as well. No idea why.
For our Miami game, we were the furthest to the left, therefore lowest, by a considerable margin.Usually, the team that wins plays a more efficient overall game—more first downs, more yards per play, etc. That’s why the right side above the axis has much more area than the section below the axis on the left.
To the left of where the curve crosses the axis, that’s “we had more yards and first downs and time of possession and big plays and still lost. How did that happen?”. Often it’s turnovers—we drove to the 2 and fumbled. Sometimes it’s settling for field goals (and sometimes missing). Sometimes it’s punting from the opposing 40 yard line a bunch.
Player | Carries | Yds | TD | Fum | Yds/rush | EPA/rush | EPA | SR |
---|---|---|---|---|---|---|---|---|
Jamal Haynes | 85 | 555 | 6 | 2 | 6.53 | 0.13 | 10.83 | 44% |
Haynes King | 44 | 445 | 4 | 0 | 10.11 | 0.48 | 21.10 | 57% |
Dontae Smith | 42 | 295 | 3 | 0 | 7.02 | 0.37 | 15.69 | 52% |
Trey Cooley | 41 | 179 | 1 | 2 | 4.37 | -0.26 | -10.65 | 29% |
Evan Dickens | 9 | 44 | 0 | 0 | 4.89 | -0.54 | -4.84 | 33% |
Zach Pyron | 4 | 10 | 0 | 0 | 2.50 | -0.22 | -0.87 | 50% |
These are pass + rush. Beck doesn't run.This doesn't make any sense! The computer and TV networks told me that Carson Beck was elite and a Heisman Trophy contender! On a serious note, we seriously have something special with Haynes King. As a bonus, he has two years left of eligibility. With a 12-team playoff coming soon, expect national impact in 24 and 25.