Shift Data!
We now have data on Shifts dating back to 2010, courtesy of our friends over at Baseball Info Solutions. All the shift data is now available in the leaderboards, and splits pages.
There are currently four splits available for Shifts and the data includes Balls in Play Only:
Shift – All : This breaks out all shifts, traditional or non-traditional.
No Shift : This breaks out all non-shifted plays.
Shift – Traditional : This breaks out all plays where a traditional shift is employed.
Shift – Non Traditional : This breaks out all plays which would not be considered a traditional shift.
Traditional / Non Traditional shifts are classified as follows by Baseball Info Solutions:
Traditional Shifts:
1) If there are 3 infielders playing on one side of the infield, we consider that a Full Ted Williams Shift.
2) If two players are positioned significantly out of their normal position, we consider that a Partial Ted Williams Shift.
3) If one infielder is playing deep into the outfield (Usually the 2B 10+ feet out into right field), we consider that a Partial Ted Williams Shift. If the 2B is only a few steps into the outfield, that does not count.
Non-traditional shifts are situational shifts not covered under the definition of traditional shifts.
To view which team has employed the shift most frequently, you should look at the pitcher leaderboards by team.
If you look at the batting leaderboards by team, you will see which team has been shifted against the most.
David Appelman is the creator of FanGraphs.
As if I weren’t unproductive enough at work already…
this is why I’ll always love you no matter what, fangraphs.
This is unrelate to the topic, but is there something up with pitching WAR so far? I know it’s crazy SSS, but why are all pitchers either 0.1 or 0.0 in fWAR this season? I would have expected at least 0.2 fWAR for Kershaw’s 7 IP 9 K 0 HR 1 BB performance the other night, but he’s at the same value right now as Scherzer who has a 5.77 FIP in the same 7 IP. Heck, even Greinke with his 4 IP at a 12.69 FIP is at 0.0.
The only reason I even think something is up is because I’ve seen pitchers lose or gain more than 0.1 for similar starts last season during the year. Just kind of odd.
believe it has the same source cause as the fact there is no fip- data yet.
I need to look at that. Not sure why that isn’t showing up.
Early in the season, especially with only a few days worth of games, WAR, especially for pitchers, is going to be strange. The baselines haven’t really stabilized yet, and remember pitcher WAR is getting crammed into a prorated 430 WAR for the number of games played. That probably has some minor impact between the starter / reliever split.
So, nothing broken, just really early in the season.
Edit: Actually upon further inspection, it could have been a park factor issue, though I’m not 100% sure. In any event, if there is an issue it will be update in tonight’s data load along with FIP-
Ok, this is all fixed now. Thanks for pointing this out, park factors were definitely causing an issue.
Awesome, thanks a lot for looking into that!
Thanks again, Fangraphs and BIS!
It is unfortunate that in the shift-data walks, strikeouts and home runs are excluded.
Of course a HR wasn’t affected by the shift in a driect way but what about changes in approach that led to a HR? For example a hitter tries to lift the ball over the infield. Same with strikeouts where a hitter might wait longer in an attempt to go the other way and gets blown away. This would have been the really interesting caveat here.
Display complete shift-data for all events. All PAs where a shift was employed, whether it was put in play or not. That’s the way to see if the shift works in decreasing offensive output. The BABIP may even go up with a power hitter but his power decreases thus possibly yielding the defense a net benefit.
This would be ideal, but there are some limitations in terms of recording shifts and if they are visible on the video feed. So, this is the cleanest data that’s available, where if we included all PA, it might muddy the waters.
Now this is cool. Thanks!
If we look at the top 20% of teams employing the shift, half (three of six — Astros, Angels, and Rangers) are in the AL West. You’d think that would mean they’d be shifting against each other, but only one AL West team is in the top 20% of teams shifted-against (the hapless Mariners, whose roster construction presumably made themselves easy victims of their division rivals). On the flip side, the Yankees and Jays are the two top shifted-against teams, yet only one of the top-shifting teams (Rays) share their division. Fun!
I sense a fascinating Tony Blengino batted-ball-outcomes-modified-by-team-defense article could emerge from this….
This is really great. I feel like there’s a counting stat that could indicate how much value teams are getting out of the shift. It appears some teams are shifting often, but not limiting offense much, and other shift rarely but get good results..
My gut was simply to compare pitching staff wOBA for Shift-all and No Shift. That should give a rough “good shift – bad shift” list.
2015 numbers
Good Shift (>0.02 wOBA diff):
Padres (+0.037)
Cardinals (+0.021)
Rangers (0.021)
Bad Shift (>-0.02 wOBA diff):
Mariners
Yankees
Nats
Angels
Reds
Mets
Dodgers
I am not really sure what to make of this, since at first blush, it doesn’t seem to correlate (I did not analyze) to pitching or defense.
Maybe this is indicative of the effectiveness of the coaches?
Unrelated to the topic, but is there any way to get old Baseruns data on Fangraphs (2002-2015)? I’m looking for the data for a school project.
You have made this self-proclaimed democratic-socialist feel like a 60 year-old again!
This is awesome!
Thank you fangraphs!
Thank you, Dad.
When I select “No Shift” I get no results; it’s just blank.
Anyone have any thoughts on what exactly are the non-traditional, situational shifts being used? Does that just refer to shifts being used in some counts, and not others? I haven’t seen an infielder play rover in shallow CF yet, but I’m sure it’s been tried!
I’ll give credit to Fan Graphs for continually improving the stats. Unlike B-Ref which seems to have stood pat since the sale several years ago (except the ridiculous DFS addition)