"He makes it really easy on you as a coach because he has tremendous football instincts," Michigan tight ends coach Jay Harbaugh said. "Things come really naturally to him. He doesn't have to see things too many times. He has a good sense for how things should look and feel, and he's a tough, physical guy."
- Member for
- 4 years 43 weeks
|49 weeks 6 days ago||Trend Model Predicts||
Trend model predicts we'll score 18 points (R-sq = .86). I think I would actually be okay with this offensive output.
|1 year 34 weeks ago||More like 0.1%||
More like 0.1% or 0.2% if you want probability of "at least 7 of 8".
THE NUMBERS HURT
|1 year 37 weeks ago||Oh wow||
Haven't heard that name in a while
|2 years 4 weeks ago||17-14 Blue||
Beat those Fig Things!
|2 years 5 weeks ago||24 - 9 Blue||
|2 years 38 weeks ago||In the words of Gus Johnson...||
|2 years 49 weeks ago||Mich 35 Neb 14||
|2 years 50 weeks ago||24-21 Michigan||
298 rushing yards.
|3 years 27 weeks ago||Closer to Boulder?||
Conor O'Neil's in Boulder is a much more low key version of Lodo's experience. Much better food too!
1922 13th Street, Boulder, CO
|4 years 20 weeks ago||"the turnover margin they||
"the turnover margin they enjoy one year has virtually zero predictive value for the turnover margin they will enjoy the next year. That means that on average, teams with substantially positive margins will see major decline in margin the next year, and teams with substantially negative margins will see major improvement the next year."
This is just plain wrong. If there was no predictive value for year over year turnover margin, then how can we predict major declines or improvement for teams with substantial margins? That would imply a high negative correlation. No correlation (or low as is 12%) means that it is random and unpredictable.