Interesting Chart of the Day: Is It a Blustery Day or What?

[RonCo]

Off Topic

So, in my own weird way, I got interested in figuring out how to pull data from our box scores--I admit the main goal of this was to figure out if I could enhance the defensive data I provide down ti individual players, which may still be possible...but I got distracted.

So I'm going to post a series of interesting, but probably not that useful data just because ... well ... fun?

There's going to be a bunch...

Here's another interesting one, which maybe should even make a difference ... dunno. But here are the number of games in which the wind blows in and out and right and left ... or whatever.

Direction	APR	MAY	JUN	JUL	AUG	ALL
in	104.0	119.0	110.0	119.0	58.0	510.0
out	136.0	158.0	168.0	153.0	88.0	703.0
left to right	44.0	61.0	47.0	49.0	24.0	225.0
right to left	35.0	31.0	41.0	23.0	21.0	151.0
None	110.0	83.0	65.0	67.0	48.0	373.0
Grand Total	429.0	452.0	431.0	411.0	239.0	1962.0

Of interest, perhaps, is that the wind blows out more often than it blows in, and left to right more than right to left. Does this help power hitters? LHB over RHB? Dunno. But it's interesting to think about, and I'm now thinking that with a little work I could make this script work with the one I use to parse game logs, and thereby get a feel for how important these things actually are.

Jesus, someone stop me before I go insane.

[RonCo]

Same data, but cut by home team:

Row Labels	in	out	L to R	R to L	None	Alll
Atlantic City Gamblers	51	7	6			64
Boise Spuds	4	16	3	1	35	59
Brooklyn Robins	46	7	2	8		63
Calgary Pioneers	4	46	4	7		61
Charlotte Cougars	13	13	34	1		61
Charm City Jimmies	15	11	26	4		56
Chicago Black Sox	46	5	10	4		65
Des Moines Kernels	11	50	5	1		67
Edmonton Jackrabbits	11	14	28	3		56
Hawaii Tropics	13	3	5	1	37	59
Jacksonville Hurricanes	49	8	2	5		64
Las Vegas Hustlers	22	5	4	3	30	64
Long Beach Surfers	6	51	3	4		64
Louisville Sluggers	8	43	7	3		61
Madison Wolves	5	45	4	3		57
Mexico City Aztecs	4	41		8		53
Montreal Blazers	4	20		2	37	63
Nashville Bluebirds	13	19	29	3		64
New Orleans Crawdads	15	7	4	1	37	64
Omaha Cyclones	47	6	1	10		64
Phoenix Talons					62	62
Portland Lumberjacks	4	19	2	4	33	62
Rockville Pikemen	48	6	12	1		67
Sacramento Mad Popes	6	48	5	2		61
San Antonio Outlaws	3	24		1	34	62
San Fernando Bears	12	37	3	6		58
Seattle Storm	9	38	1	14		62
Twin Cities River Monsters	7	45	2	9		63
Valencia Stars	18	17	20	4		59
Vancouver Mounties	3	6		14	33	56
Wichita Aviators	5	41	2	10		58
Yellow Springs Nine	8	5	1	14	35	63
Grand Total	510	703	225	151	373	1962

Interesting to note that park does seem to matter if the wind blows in or out and R/L or L/R.

[RonCo]

Had to update this last one because I mistakenly left spring training games in the cut.

[HoosierVic]

The wind almost always blows in at Black Sox Park, directly over the Little Cal ...

[Ted]

I had thought for sure Sacramento would have wind blowing in.

[jleddy]

Jesus, someone stop me before I go insane.

What is necessary and I'll step in.

[RonCo]

Here's more interesting stuff for Sacramento...wind blowing in vs. wind blowing out...per field...

Row Labels	CF	LF	RF	All
in	2	1	3	6
out	14	5	29	48
LF to RF			5	5
RF to LF		2		2
Grand Total	16	8	37	61

[Ted]

Here's more interesting stuff for Sacramento...wind blowing in vs. wind blowing out...per field...

Row Labels	CF	LF	RF	All
in	2	1	3	6
out	14	5	29	48
LF to RF			5	5
RF to LF		2		2
Grand Total	16	8	37	61

Gotta be the temp then. All I know is that before I changed it, Pacific field was death to lefty power hitters. Just neutered them. Even more than the park factors would predict. It would be interesting to see a correlation between park factors and performance relative to league means. I'm almost certain there are significant over-riding factors.

[RonCo]

I'll see if I can overlay it with game log data.

[RonCo]

It also makes me think about april schedules and how they influence things based on where you play.

[Ted]

It also makes me think about april schedules and how they influence things based on where you play.

I started to get the impression that performance in early seasons games has a big impact on later season play. I don't know if that is realistic or not. Maybe a guy starting slowly really does get into his head and he just has a hard time digging out of it.

All I know is that when I changed my park, I went from frustratingly underachieving (in my mind) to dominant. The big difference was not scoring any runs in April and early May, so basically having every game be a coin flip to see who would in 1-0 or 2-1, to blowing up teams through the whole month, and getting off to crazy good starts. It wasn't a large enough sample to be sure. But I didn't really change a thing with how I built teams, and I had really consistent personnel.

I wasn't really paying attention before (because Randy wasn't crowing at me about San Fernando leading when predicted to suck) but I did see that Sacramento started pretty damn slow and has taken off in the hot months, which was my pattern always before moving the fences in. I'd be interested to know if they did that the las couple seasons after he moved them back.

[usnspecialist]

It also makes me think about april schedules and how they influence things based on where you play.

I started to get the impression that performance in early seasons games has a big impact on later season play. I don't know if that is realistic or not. Maybe a guy starting slowly really does get into his head and he just has a hard time digging out of it.

All I know is that when I changed my park, I went from frustratingly underachieving (in my mind) to dominant. The big difference was not scoring any runs in April and early May, so basically having every game be a coin flip to see who would in 1-0 or 2-1, to blowing up teams through the whole month, and getting off to crazy good starts. It wasn't a large enough sample to be sure. But I didn't really change a thing with how I built teams, and I had really consistent personnel.

I wasn't really paying attention before (because Randy wasn't crowing at me about San Fernando leading when predicted to suck) but I did see that Sacramento started pretty damn slow and has taken off in the hot months, which was my pattern always before moving the fences in. I'd be interested to know if they did that the las couple seasons after he moved them back.

o don't worry, the crowing will come back when I pass the preseason predicted win total 5-6 weeks before the end of the season.

[RonCo]

I started to get the impression that performance in early seasons games has a big impact on later season play. I don't know if that is realistic or not. Maybe a guy starting slowly really does get into his head and he just has a hard time digging out of it.

All I know is that when I changed my park, I went from frustratingly underachieving (in my mind) to dominant. The big difference was not scoring any runs in April and early May, so basically having every game be a coin flip to see who would in 1-0 or 2-1, to blowing up teams through the whole month, and getting off to crazy good starts. It wasn't a large enough sample to be sure. But I didn't really change a thing with how I built teams, and I had really consistent personnel.

In ways, those two points contradict each other. Your CAL teams would suck for several years in April, then claw their way back to respectability in June/July. So poor performances in April didn't cause your guys to have poor performances later. On the whole, anyway.

Similar, Rockville's past two seasons have been defined on a similar track...horrible in April/May, but then rising up through the year.

I do think there are some individual toggles for players to have mega-seasons or total dogs. See McNeill, Lucas, 2037. Or Andy McKinney in his 5.8 WAR ROY season. But that's a little different than "past performance drives future performance."

[RonCo]

What I'm thinking about regarding temps is more in the range of if a team plays more games in hot weather or controlled/roofed places, do they score more runs (or give up more). I'd assume so. In that case, do individual races/voting (All-Star appearances) get impacted. This could, for example, make an argument around Claudio Defazio's difficulty to achieve All-Star appearances. That probably goes under the Temp thread, though.

[Ted]

I started to get the impression that performance in early seasons games has a big impact on later season play. I don't know if that is realistic or not. Maybe a guy starting slowly really does get into his head and he just has a hard time digging out of it.

All I know is that when I changed my park, I went from frustratingly underachieving (in my mind) to dominant. The big difference was not scoring any runs in April and early May, so basically having every game be a coin flip to see who would in 1-0 or 2-1, to blowing up teams through the whole month, and getting off to crazy good starts. It wasn't a large enough sample to be sure. But I didn't really change a thing with how I built teams, and I had really consistent personnel.

In ways, those two points contradict each other. Your CAL teams would suck for several years in April, then claw their way back to respectability in June/July. So poor performances in April didn't cause your guys to have poor performances later. On the whole, anyway.

Similar, Rockville's past two seasons have been defined on a similar track...horrible in April/May, but then rising up through the year.

I do think there are some individual toggles for players to have mega-seasons or total dogs. See McNeill, Lucas, 2037. Or Andy McKinney in his 5.8 WAR ROY season. But that's a little different than "past performance drives future performance."

Yeah, I suppose I combined arguments in a goofy way like I often do. I was trying to say poor individual performances lead to slow starts by what should have been monster teams. And when I negated the weather causing slow starts, those monsters teams performed like monster teams. What I should have pointed out, is that certain players would get off to slow starts, and never really recover. Yo could point out that their early numbers were probably just so bad that the season end stats looked worse than say mid may through september actually were. But look at a guy like Fernando Moreno. https://statspl.us/brewster/reports/new ... 21605.html. Moving the fences in basically ressurected his career. And sure, as a lefty power hitter, he benefitted the most from the actual dimension changed. But I'd point out he fell apart in Brooklyn, which has a very similar temperature curve to Sacramento.

And yeah, this should be in the ballpark temp thread. So I'll put my theory there.

[CTBrewCrew]

Hmmm looks like those industrial strength fans we installed behind home plate are working nicely....