This list is completely arbitrary and not a genuine analysis of the relative merits of state fossils.
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|15 weeks 4 days ago||Thanks, fixed it. For all the||
Thanks, fixed it. For all the times that I've read the guy's name, I should be able to spell it...
That's a very interesting observation. I'm throwing around the idea of going more in-depth on defense in the Big 10, looking more into game-by-game results. The impact of drawing two fouls on a starter would be a good place to start that analysis.
|15 weeks 4 days ago||I would think that his||
I would think that his hedging ability is a contributing factor to eFG% and, in a small way, tempo. Hedging denies an opponent an immediate open look and forces them to make additional passes to exploit the mismatch out of the hedge. The first half of the Western Michigan game had some great examples of opponents successfully making those passes against Michigan's hedging, but a well-executed hedge should deny the opponent their current set and force them to reset and execute their next option. This also takes more time off of the shot clock and increases the chances of a poor choice of shot or shot clock violation.
Based on observation, I'd say that the Michigan's hedging is more effective against less athletic teams that have to shoot over the mismatch, whereas more athletic teams can drive against or back down the mismatched player before Morgan can recover.
|15 weeks 4 days ago||I actually looked at||
I actually looked at regression when I started the analysis, but thought that the correlation numbers were easier to explain.
Regression shows that the four factors make for a very good predictor of Adjusted Defensive Efficiency (R^2 = 0.80) and an excellent predictor of Raw Defensive Efficiency (98%!). All four factors have p values well below 0.01, and adjusted R^2 is nearly the same as R^2 for both, so not a lot of noise when considering just these four variables. Not surprising that these statistics were given such a prominent position in the tempo-free community.
There is still a clear heirarchy of importance in the regression model, though. eFG% is still most important, followed by TO%, DReb%, and FT Rate in that order, with TO% and DReb% very close to each other and FT Rate lagging behind. However, with their importance beng approximately equal, the weight given to TO% in the regression model is greater than that given to DReb%, as the average value for TO% is 10 percentage points lower than that for DReb% (which is why I went with the correlation numbers).
|15 weeks 6 days ago||Exactly. The total % for each||
Exactly. The total % for each column adds up to the number of teams in that round x 100(%). That said, it looks like there are some rounding issues that make some columns add up to slightly more or less than their required amount, but nothing unusual.
|25 weeks 5 days ago||Agreed on Turner. That||
Agreed on Turner. That buzzer-beater was the worst sports punch-to-the-gut I've endured.
|26 weeks 3 days ago||Bates-Diop would be a big||
Bates-Diop would be a big get, but he's actually the class after Irvin, Walton, and Donnal. They're all 2013. Still, great way to kick off the 2014 class and take a player away from from Purdue/Illinois.
|28 weeks 5 days ago||If Horford's knee is OK, we||
If Horford's knee is OK, we might see:
Morgan (or McGary)
Burke seemed to indicate at media days that Horford was playing the 4 in their "Big" lineup, so I'm interested to see how that shakes out.
|28 weeks 6 days ago||Verdell Jones III graduated||
Not that it really affects Indiana's status as the #1 contender