[BostonCard]

...my detailed off-season analysis...

Isn't "detailed" redundant when we talk about your analyses?

BC

When I call one detailed it means “batshit crazy.” Most of my analyses are little 30-45 minute spurts when I have some free time/energy, but maybe four or five times a year I get a bee in my bonnet that I can only get out with a project that takes much longer, and those get stretched out over several nights as I wrestle with it on the patio after work over some beers. The injury one was one of those. That was a lot to look at, if my memory/calculations are right, 2880 data points for the first part of the analysis and then a mind-numbing series of about 600 calculations for the second part. And if I were smart I’d use Excel and/or train a program for it but I’m a Luddite (plus there’s something therapeutic about laboriously chipping away at the data until it resembles something interesting). Like I said, batshit crazy. 

I do enjoy being able to share those crazy ones here because you always have smart points on methodology and I know you’re much more scientific/technical than Matt who never grew up from the 12 year old using basic arithmetic and algebra to crunch baseball stats.

Matt, just some gentle ribbing. I have mad respect for your devotion to the data and your willingness to invest the time to work it up. Any methodological quibbles aside, I think it makes for much more informed and rich debate.

If (I guess I should say “when”) you ever undertake something like this again send me the dataset. I’d love to see what interesting things one can chip away at when R does all the heavy lifting (plus, I can generate pretty graphs!)

BC

[BostonCard]

...my detailed off-season analysis...

Isn't "detailed" redundant when we talk about your analyses?

BC

When I call one detailed it means “batshit crazy.” Most of my analyses are little 30-45 minute spurts when I have some free time/energy, but maybe four or five times a year I get a bee in my bonnet that I can only get out with a project that takes much longer, and those get stretched out over several nights as I wrestle with it on the patio after work over some beers. The injury one was one of those. That was a lot to look at, if my memory/calculations are right, 2880 data points for the first part of the analysis and then a mind-numbing series of about 600 calculations for the second part. And if I were smart I’d use Excel and/or train a program for it but I’m a Luddite (plus there’s something therapeutic about laboriously chipping away at the data until it resembles something interesting). Like I said, batshit crazy. 

I do enjoy being able to share those crazy ones here because you always have smart points on methodology and I know you’re much more scientific/technical than Matt who never grew up from the 12 year old using basic arithmetic and algebra to crunch baseball stats.

Matt, just some gentle ribbing. I have mad respect for your devotion to the data and your willingness to invest the time to work it up. Any methodological quibbles aside, I think it makes for much more informed and rich debate.

If (I guess I should say “when”) you ever undertake something like this again send me the dataset. I’d love to see what interesting things one can chip away at when R does all the heavy lifting (plus, I can generate pretty graphs!)

BC