Saber-Friendly Tips

poodski

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So Fangraphs is starting a little series explaining some sabermetric stats. I thought this would be a good place to post them and to discuss them. I also thought this might be a way to somewhat bridge the gap between the two sides.

The first one is about BABIP:

Saber-Friendly Tip #1: The Linguistics of BABIP | FanGraphs Baseball

In the end, you should present BABIP however you think best serves the audience you’re trying to reach. At a site that’s already saber-heavy, it’s obviously fine to use BABIP since most readers would already understand the stat and it makes your articles more concise. But if you’re trying to reach out to a more mainstream audience, or trying to explain BABIP to someone that’s never heard of it before, it’s not a bad idea to slide that decimal point over two places and then round. Using a percentage instead of BABIP does more justice to the concept linguistically, and you might find your audience more immediately receptive to your point.

Saber-Friendly Tip #2: Talkin’ About Power | FanGraphs Baseball

I probably sound like a broken record, considering I finished the BABIP article on a similar note, but which stat you use depends on your audience and what questions you want to address. So don’t limit yourself to only Isolated Power; Slugging Percentage shouldn’t be throw out in the wash, as it has its many positives going for it as well. And don’t be afraid to branch out into some of the different percentage stats; they take but the work of a minutes to calculate, they are easy for new readers to understand, and they add nuance to your analysis.
 

cubsneedmiracle

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Some good information for those looking for info about different stats.


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On a side note I will be watching this thread for saber bashing.. this isn't what this thread is for.
 
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Captain Obvious

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awesome! can someone post the whole articles? i can't view fangraphs on my phone.
 

EnjoyYourTiger

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Babip

saber-friendly tip #1: The linguistics of babip
by steve slowinski - may 20, 2011

through some conversations with colleagues, i’ve recently had a bunch of thoughts floating around in my head about how to best present sabermetric stats to an audience. I posted some of these thoughts recently in an article, and i’m planning to continue listing tips every now and then. And of course, a bit thanks to sky kalkman’s old series at beyond the boxscore for the title inspiration.

Batting average on balls in play (babip) is one of the mainstays of sabermetric analysis. In fact, i’d suggest it’s one of the most commonly used saber-stats; it’s important whether you’re talking about batters or pitchers, and it’s useful in explaining why players aren’t performing as you’d otherwise expect. If you’re trying to analyze a player and talk about how they will perform going forward, how can you not talk about babip?

But despite being such an important statistic, many people are initially skeptical of babip. What do you mean to tell me that batters don’t have control over where they hit the ball? Why should i believe that there isn’t a large amount of skill involved in babip? To say that there’s a large amount of variation and luck involved in babip (and therefore, batting average) seems counterintuitive to people. After all, many baseball fans grew up with the idea that hitting for a high average is very much a skill, not the product of skill and some luck.

So recently, i’ve started trying something a little bit different: Presenting babip as a percentage. And so far, i think it’s helping.

In other words, instead of writing out a sentence like, “carlos santana has a .233 babip — much lower than his.277 babip from last season — suggesting that his batting average should increase going forward,” i’m starting to write my analyses like so:

When carlos santana has put the ball in play this season, he’s only had balls fall for hits 23% of the time. The league average rate for a hitter is normally around 29-31%, while santana had 28% of balls in play fall for hits last season. Since hitters have little control on if they hit a ball right at a fielder or slightly in the gap, santana should have more balls fall for hits going forward and therefore, increase his batting average.

I think by using the percentage you accomplish two main things: You rid your article of an acronym and a decimal-heavy stat (both of which can turn people off), and you disconnect babip from batting average. As we mentioned above, people grew up thinking of batting average as a skill-driven stat, so when they hear “batting average on balls in play”, their implicit assumption connects the stat with a skill. Why shouldn’t better players have higher babips? And why shouldn’t better pitchers have lower babips against them? When you’re used to thinking of batting average as a skill, it’s tough not to automatically associate babip with skill too.

Also, our normal language surrounding babip reinforces that skill connection too. “carlos santana has a .222 batting average; he has a .233 babip.” it is something he has done, acquired as a result of his skill and performance. But when you use a percentage instead, your language becomes more passive and you imply a sense of uncertainty. Instead of saying a player is actively “hitting” or “produced” a .350 babip, you’re saying that 35% of his balls in play fell for hits. It’s no longer the hitter that’s driving these balls in play; it’s simply some balls fell in while some didn’t. Your semantics are matching up with the purpose of the statistic, and helping the reader better understand your point.

In the end, you should present babip however you think best serves the audience you’re trying to reach. At a site that’s already saber-heavy, it’s obviously fine to use babip since most readers would already understand the stat and it makes your articles more concise. But if you’re trying to reach out to a more mainstream audience, or trying to explain babip to someone that’s never heard of it before, it’s not a bad idea to slide that decimal point over two places and then round. Using a percentage instead of babip does more justice to the concept linguistically, and you might find your audience more immediately receptive to your point.
 

EnjoyYourTiger

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SLG v. ISO

Saber-Friendly Tip #2: Talkin’ About Power
by Steve Slowinski - May 23, 2011

In case you missed the first article in this series — in which I talk about another way to look at BABIP — I’m trying to take a look at alternative ways to present sabermetric stats, in order to best represent them to an audience.

When you stop and think about it, despite the numerous baseball statistics out there, there are only a few limited ways of talking about a batter’s power. While there are a multitude of options when talking about plate discipline — On-Base Percentage, walk rate, outside swing rate, etc. — there are only a handful of widely available stats to use for power: the old standby, Slugging Percentage; a player’s raw total of homeruns or extra base hits; or the sabermetric alternative, Isolated Power.

So when you want to talk strictly about how powerful a player has been, which stat do you use? There are pluses and minuses to each of these stats, but do any of them necessarily stand out from the others? I’d argue no.


Slugging Percentage

The Good: Everyone knows it. It’s simple, easy to understand, and we all grew up using it.

The Bad: Like mentioned above, the formula of Slugging Percentage is very simplistic; it’s a player’s total bases divided by at bats. But if we’re talking about power, why are we including singles in the calculation? And if we’re putting value onto extra base hits, is a homerun worth twice what a double is worth?

Raw Homerun or Extra Base Hit Totals

The Good: Using the raw totals don’t attempt to place any value on each of the different hits, like Slugging Percentage does. Also, baseball fans don’t need to be told that 30+ homeruns is very good.

The Bad: Homeruns is just one part of the picture; doubles and triples are also very important. And if you list a player’s total extra base hits, you then run into the problem that you’re considering doubles as important as homeruns. Who’s the more powerful batter: someone who hits 30 doubles and 0 homeruns, or someone that hits 25 homeruns and 5 doubles?

Isolated Power (ISO)

The Good: It’s also a very simple statistic: Slugging Percentage minus Batting Average. This corrects for one of the flaws of Slugging Percentage, since this subtraction removes singles from the equation and leaves just the extra bases. As a result, Isolated Power gives more value to hitters that accumulate lots of extra bases but don’t hit for a high batting average.

The Bad: It’s on a funky scale. It’s a three-decimal stat, so I expect it to be on the same sort of scale as OBP or AVG, but it’s not. Instead, an average ISO score is around .145 and power hitters normally crack .200. It took me a long time to feel comfortable enough with the scale to begin using it in my writing, and new readers could have a problem with it.

***

I’ve gone back and forth on this question. Do I use a familiar stat, like Slugging Percentage, or do I go with Isolate Power — a stat that’s slightly more rigorous, yet is on a confusing scale for new readers? Believe it or not, the two stats correlate at a very high rate (.90 so far this season), so in general, you’re not losing much in terms of accuracy if you choose to use Slugging Percentage instead of Isolated Power. ISO is still an important statistic to use, since it can show you if a player might be over- or under-rated due to Slugging Percentage, but in the majority of cases the difference between the two stats isn’t as large as you may think. Power isn’t a very subtle skill; it tends to shine through no matter what lens you look at it through.

If you’re looking for a more rigorous alternative to Slugging Percentage, though, I’ve recently started looking at a player’s percentage of extra base hits. Consider:



Both these percentages tell you slightly different things — one tells you how often a player gets an extra base hit when they step to the plate, while the other tells you how often a player rips the ball deep when they get a hit — but they can both be useful when trying to get a full picture of a player’s power. Instead of limiting ourselves to just the handful of stats out there right now, why shouldn’t we use percentages like this, much like we’d use walk rate as an alternative to OBP? Both these stats correlate a high amount with Isolated Power (.91 for XBH/AB and .83 for XBH/H), so you know that they’re telling you similar information, but just in a different form.

I probably sound like a broken record, considering I finished the BABIP article on a similar note, but which stat you use depends on your audience and what questions you want to address. So don’t limit yourself to only Isolated Power; Slugging Percentage shouldn’t be throw out in the wash, as it has its many positives going for it as well. And don’t be afraid to branch out into some of the different percentage stats; they take but the work of a minutes to calculate, they are easy for new readers to understand, and they add nuance to your analysis.
 

daddies3angels

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Im still not a huge saber metric guy. I am more of the faith that the eye test tells more then some hidden stats
 

AddisonStation

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Im still not a huge saber metric guy. I am more of the faith that the eye test tells more then some hidden stats

The problem with the eye test no one can watch every team/player every game.
 

poodski

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The problem with the eye test no one can watch every team/player every game.

And it can lie to you. Especially on defense.

You see a guy make a diving web gem on a fly ball and he makes the sportscenter top 10 list and all that and is considered a great defender.

Where as Franklin Gutierrez makes it look routine, and gets no notoriety.

Plus your mind is more likely to remember the 2 bad plays a player makes rather than the 20 good ones.
 

AddisonStation

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And it can lie to you. Especially on defense.

You see a guy make a diving web gem on a fly ball and he makes the sportscenter top 10 list and all that and is considered a great defender.

Where as Franklin Gutierrez makes it look routine, and gets no notoriety.

Plus your mind is more likely to remember the 2 bad plays a player makes rather than the 20 good ones.

I agree x1000
 

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