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<blockquote data-quote="stinger78" data-source="post: 971650" data-attributes="member: 6771"><p>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?</p><p></p><p>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.</p><p></p><p>I have no issue with their metric, but maybe so with their buckets? I dunno.</p></blockquote><p></p>
[QUOTE="stinger78, post: 971650, member: 6771"] 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. [/QUOTE]
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