GBC DEFENSE BY PLAYS MADE ABOVE AVERAGE

[RonCo]

Shaking off the cobwebs and getting my game log scripts adjusted for league changes...I think I've about got them settled. So, with that, here's the fist cut of way-too early defensive data for the GBC.

"Plays Above Average" is a metric that I get by scanning the game logs, assessing where every GB/FB/LD gets hit on balls in play, and then assessing how your team did in converting them to outs relative to that league average.



GBC DEFENSE BY PLAYS MADE ABOVE AVERAGE: 4/27/2059

TEAM	GB	FB	LD(IF)	LD(OF)	TOTAL
Cairo Pharaohs	9.37	8.43	0.53	-0.68	17.65
Tokyo Pearls	2.60	8.17	2.92	3.23	16.92
Moscow Thunder Bears	11.08	3.92	-2.56	2.09	14.53
Johannesburg Gold	4.38	0.58	3.07	-1.17	6.86
Sydney Sharks	6.81	-1.31	-1.62	1.64	5.52
League	0	0	0	0	0
Buenos Aires Brisas	-8.46	4.64	1.37	1.16	-1.30
Jerusalem Hebrew Hammers	2.17	-6.05	-1.21	-2.47	-7.56
Sao Paulo Pilots	4.73	-9.10	-3.01	-1.91	-9.30
London Monarchs	-19.21	-0.31	2.17	-1.42	-18.77
Athens Fighting Centaurs	-13.46	-8.96	-1.66	-0.46	-24.54

[handaspencer]

that GB number looks rough for London. We are trying to fix that.

[Jim Leyritz]

Pretty sure my OF ratings will fall once I put Madden in LF

[MarkRidings]

This just confirms that Athens is indeed horrible at defense, and there is a reason why our BABIP is so high (not just bad luck)

[PixelHero]

This is really interesting, I wonder if the in game log scraping would correlate with the expanded fielding stats found on the fielding tab for each player.

For example Blair Peyton exhibits the following stats:

Routine Balls 56/56
Likely Balls 18/18
Even Balls 15/18
Unlikely Balls 25/32
Remote Balls 18/28
Impossible Balls 35

It would be interesting to understand how the game logs correlate to the aforementioned data.

[PixelHero]

At one point I had a script that attempted to predict a teams defensive efficiency and ZR based on the balls in play data. I will have to see if I can dig that up and get it going again.