Data
Data
Thursday, December 01, 2022
Prior to 2017, the break values were calculated based on the ball being 40 feet from home plate. Starting in 2017, it's based much closer to the actual release point. From 2017-2019, it's the actual release point (an average of 54.5 feet). From 2020, it's fixed to roughly 54.134 feet from home plate. We've recalculated the 2008-2016 break values (which are currently only accessible via the csv download on Savant) so it matches a fixed 54.5 foot standard. This will help in being able to better compare pre-2017 to since-2017.
Monday, April 25, 2016
?Tony gives you some benchmarks, including noting the all important "null" group, which can skew any analysis.
(1)
Comments
• 2016/04/26
•
Data
Tuesday, February 16, 2016
?An inside-look at Fangraphs.
I've dealt with David as much as I've dealt with anyone in the sports world, and he's easily one of the most generous and honest people around. I'd have no qualms being a partner with him, or being his subordinate, or him working for me. Just an ideal team player, regardless of what role on the team he'd play.
Saturday, February 13, 2016
The latest season is over at Fangraphs. You can see it at the player pages, ?the advanced league pages, on its own page. David does a fantastic job at laying out a site, to slice and dice the data across its pages.
If ever I'd do a hockey site, I'd use Fangraphs as a model, while trying to incorporate some cool features over from Hockey-Reference as well.
(2)
Comments
• 2016/02/15
•
Data
•
Fielding
Friday, January 29, 2016
?Octavio is your source for sources.
Friday, January 01, 2016
?This is the writeup, of which you will be enthralled, especially if you were born in the 1970s or earlier.
This is the boxscore:
http://www.baseball-reference.com/boxes/CIN/CIN198607220.shtml
http://www.fangraphs.com/boxscore.aspx?date=1986-07-22&team=Reds&dh=0
http://www.retrosheet.org/boxesetc/1986/B07220CIN1986.htm
And this is the game:
https://www.youtube.com/watch?v=dljM3PyIiXI
I'd love to see a group come together to create a full pitch-by-pitch account of this game.
(4)
Comments
• 2016/01/01
•
Data
•
History
Monday, December 28, 2015
There was a software upgrade that killed the wiki on my site. ?I put out a plea to save that wiki, a wiki that so many contributed toward. Thanks to the hard work and incredibly fast turnaround of Montrealer Alex Marcotte, @Hamburghost, the wiki has been saved and can be found in archive-mode here:
http://tangotiger.net/wiki_archive/
I'm very proud to be part of a community that shares so much based just on our common passion. And it's great that Alex is a part of this community.
Friday, November 20, 2015
?Fangraphs does a terrific service to the community when they run this.
Aspiring saberists: now, ESPN also does a terrific service to the community with their list (especially since it goes back to 2006. I suspect it's only a couple of guys establishes the prices, but they seem to do a good job. So, aspiring saberists: compare the two. I'd like to see where one does better than the other, are they biased in any way.
(6)
Comments
• 2015/11/21
•
Data
Thursday, July 09, 2015
?Terrific profile on Daren @darenw. One of the very best things about the saber community is how much they are(*) so willing to share their expertise.
(*) I guess I should say "it is... its" and not "they are... their". Huh, just noticed: "it's... its", and "they're... their".
Friday, November 21, 2014
I always advise everyone who asks to ABSOLUTELY have your own website. While Fangraphs and Hardball Times and BPro are all wonderful outlets, you need a direct path to your own work, as it becomes your portfolio. I point to Alan's site as a great example. Bryan Cole did such a thing. I don't think I've updated Tangotiger.net in six years, maybe longer. But it still gets plenty of traffic. ?
(4)
Comments
• 2014/11/24
•
Data
Monday, November 17, 2014
?From Baseball Savant, and Replayometer. If you have other sites, please post below.
(10)
Comments
• 2014/11/17
•
Data
Wednesday, November 12, 2014
Terrific job by the gang at getting this up and running. ESPN also has a good one, especially for historical results.?
Monday, November 10, 2014
Stephen collected all the StatCast data for you.
To improve the results, he should show the data as data, not as an image. He should also hyperlink the data back to the video.
He noted the negative first step by Pence. I seem to remember the announcer on StatCast making mention of that. I think he went back to the bag after the catch? Or something like that? I don't remember.
And of course, the bane that is "acceleration", which I won't rest until its calculation is eradicated from all discussion, past, present, and future.
***
One thing about the average lead for the runner that's not clear: is it measured from center point, lead foot or trailing foot? Because if you follow some of the tracking, you will sometimes see the runner not touch the bag according to StatCast, and it's clear in those cases that they are tracking the left foot, where it goes in front of the bag, while the right (outer) foot touches the bag.
***
It's also clear that alot of this data is going to be of very dubious (dangerous) use without proper context and filtering. For example, a scout recording home to first time will throw out some of the runs, if it's obvious the runner is not going all-out. Visually, it's obvious. And given the data presented, it won't be obvious. So, the analyst has to be VERY careful, given the limited amount of data and context provided.?
Friday, October 10, 2014
We rollup bunt, infield, outfield singles into singles. We rollup singles, doubles, triples, HR into hits.? We rollup BB, HB, hits into times on base.
To the extent that you show BB/PA, when would you NOT want it to be BB+HB per PA? Wouldn't you predominantly want to include HB with walks far more often than keep them separate?
In an ideal presentation, it would be BB-IBB+HB per PA-IBB. And as a subcategory, if you want to do BB/PA, then fine, do that. But only after presenting the more ideal metric first.
(17)
Comments
• 2014/10/17
•
Data
Thursday, August 28, 2014
?With the 50/50 blend of pitching WAR now an option!
(13)
Comments
• 2014/08/30
•
Data
Thursday, August 14, 2014
Love the name of the site. Here are a couple of useful ones.
One little note: when it comes to join, consider doing outer joins, unless you are 100% sure that there is no gap in the data. Then you have to deal with the nulls, which is fine. However, some databases have problems with outer joins, so, just be aware if things run slowly, it may be because of that.
(1)
Comments
• 2014/08/16
•
Data
Tuesday, July 22, 2014
?See post #19, my first reaction to it, others telling me that this is how baseball reference is reporting it, and my quick comment, which I'll reproduce here:
I just looked at two years:
http://www.baseball-reference.com/leagues/split.cgi?t=b&year=2013&lg=MLB#hitlo
http://www.baseball-reference.com/leagues/split.cgi?t=b&year=2008&lg=MLB#hitlo
First thing to note is that this is not a LHH issue, but LHH AND RHH.
Secondly, the frequencies have changed between pull and up-the-middle.
Thirdly, note the success rate is higher for up-the-middle in 2013 than 2008.
So, I’m not sure that everything is directly comparable. I’d guess that the record keeping or method of recording has changed sufficiently to not allow for simple conclusions.
***
An aspiring saberist can take it from here.
(19)
Comments
• 2014/07/23
•
Data
Thursday, June 26, 2014
Dave is noting that Fangraphs is now offering BaseRuns at the team level.?
Friday, June 20, 2014
?I'm a huge fan and supporter of Fangraphs, And that the brains behind the site is a super nice guy, it's a real pleasure to link to the site and point out some really cool stuff.
Friday, May 30, 2014
?Courtesy of Matthew Gross:
(5)
Comments
• 2014/06/02
•
Data
Recent comments
Older comments
Page 1 of 151 pages 1 2 3 > Last ›Complete Archive – By Category
Complete Archive – By Date
FORUM TOPICS
Jul 12 15:22 MarcelsApr 16 14:31 Pitch Count Estimators
Mar 12 16:30 Appendix to THE BOOK - THE GORY DETAILS
Jan 29 09:41 NFL Overtime Idea
Jan 22 14:48 Weighting Years for NFL Player Projections
Jan 21 09:18 positional runs in pythagenpat
Oct 20 15:57 DRS: FG vs. BB-Ref
Apr 12 09:43 What if baseball was like survivor? You are eliminated ...
Nov 24 09:57 Win Attribution to offense, pitching, and fielding at the game level (prototype method)
Jul 13 10:20 How to watch great past games without spoilers