On your O/D EPA graph, consider that 25 teams are in the Halp! quad and 22 are in the Good/Good quad. That's 47 of the 65 teams. So, their linear regression fit is pretty good. However, their categories might be debatable. If their axes off by just about 5%, GA Tech falls into the good O, bad D quadrant. I assume those axes represent the means for both?
I see the issue being more our Jekyll and Hyde act on O, not so much whether or not we're good or bad on O. You don't get to be #18 in total O, against a fairly tough schedule (overall W/L 32-16 FBS) by having a bad O. In 7 FBS games we've averaged 33 points in 3 wins, and 27 points in 4 losses. That's not a bad O considering that we left points on the field trying to catch up in a couple of the games we lost.
I have no issue with their metric, but maybe so with their buckets? I dunno.
Either means or medians for P5 teams. If you’re in the bad/bad quadrant, you’re below average in both. Typically, you’d set that as the average, which makes the buckets easier.
Total offense can be misleading. Under Johnson we were murder on the offensive efficiency stats, but there were a lot of pass-happy teams with gaudier yardage numbers. Punting from the opposite 40 bulks your yards up, but it isn’t what you need. And sadly, if you give your opponents a lot of fast drives, you get more opportunities with the ball (I’ll have to check that stat for us).
We’re #47 in points per game, and we’re much worse in points per drive
Rec | FBS | NPD | | OPD | Rk |
5-7 | 4-7 | -1.11 | | 1.15 | 125 |
We get a lot of shots, so we have great highlights, but we don’t make the most of our shots. We’re very inefficient
Edit: I must have grabbed last year’s stats for offensive points per drive. Should have caught that—the record is a tip off
This year’s numbers just added—we’re up a ton, but now in the middle