On Tuesday, we looked at the best pitches in baseball last year when judged by whiffs and grounders. One thing we learned in that exercise: they were all thrown by relievers. Makes sense. They get a lot of advantages when it comes to short stints and leveraged situations. Let’s not hold it against them because the rest of the reliever’s life is very difficult. On the other hand, let’s also celebrate the starting pitchers separately, because many of them have pitches that are excellent despite the fact that they have to throw more often, to batters of both hands.

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While the 2016 campaign is over and the flurry of moves after the season has come to a halt for the moment, a whole year’s worth of data remains to be examined. Today’s post is an easy one and a fun one. Let’s find the best pitches that were thrown regularly last year.

Before we begin: the word “results” appears in the headline, but I’m not going to use results judged by things like singles and doubles and the like. The samples gets pretty small if you chop up the ball-in-play numbers on a single pitch, and defense exerts too much of an influence on those numbers. So “results” here denotes not hit types, but rather whiffs and grounders.

I’ve grouped all the pitches thrown last year, minimum 75 for non-fastballs, 100 for fastballs. I combined knuckle and regular curves, and put split-fingers in with the changeups. So the sample per pitch type is generally around 300 — a lot less for cutters (89) and a bunch more for four seamers (500) — but generally around 300 pitches qualified in each category. Then I found the z-scores for the whiff and ground-ball rates on those pitches. I multiplied the whiff rate z-score by two before adding it to the ground-ball rate because I generally found correlations that were twice as strong between whiff rates and overall numbers like ERA and SIERA than they were for ground-ball rates.

The caveats are obvious. Pitches work in tandem, so you may get a whiff on your changeup because your fastball is so devastating. This doesn’t reward called strikes as much as swinging strikes, so it’s not a great measure for command. On the other hand, there isn’t a great measure for command. By using ground-ball rate instead of launch-angle allowed, we’re using some ball-in-play data and maybe not the best ball-in-play data.

But average-launch-angle allowed is problematic in its own way, and ground-ball rate is actually one of the best ball-in-play stats we have — it’s very sticky year to year and becomes meaningful very quickly. Whiff rates are super sexy, since a swing and a miss represents a clear victory for the pitchers over the batter — and also because there’s no room for scorer error or bias in the numbers. And while the precise way in which pitches work in tandem remains obscure in pitching analysis, we can still learn something from splitting the pitches up into their own buckets.

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If you’ve watched Odubel Herrera in the field over the last two years, you might be surprised to see him rated as a positive by defensive metrics. He can certainly run circles around a ball from time to time, and we’ve all seen that iconic route that saved Cole Hamels‘ no hitter. But if you drill down into Herrera’s defense, it starts to look like he’s the opposite of Derek Jeter, who made the big plays and made us all wonder if the negative defensive numbers were wrong. Because Herrera is fine on the easy plays — it’s those 50/50 plays that lead to the questions about his ability in center.

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Somewhere around two years and $6 million a year: those appear to be the terms for a certain kind of match this offseason. A match between budget-conscious teams seeking to acquire meaningful (if flawed) talent and players willing to forgo a bigger one-year deal in order to gain an extra year of security. Matt Joyce, Steve Pearce, Wilson Ramos, Sean Rodriguez, even Junichi Tazawa — they’ve all given us brief glimpses into above-average work, and longer looks at less exciting work.

In a way, Daniel Hudson fits right into this collection of players: according to Jeff Passan, he received a two-year, $11 million deal from the Pirates. If he’s their closer for the next two years, that will be a bargain; he could also return hardly anything. In either case, discussing the deal in such simple terms is selling his story way, way too short.

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I was drinking a beer with Kevin Youkilis — or rather, I was drinking one of his new brewery’s beers, and he was drinking water — and we were talking about the state of the game. I think I mentioned something about chopping wood — how young players are coached (badly?) to hit down on the ball, and how that leads to a lot of swing and miss as players have to try to swing to a point in space — and he stopped me. “Nobody ever swings out to a specific point in space when they’re told to chop wood or swing down on the ball,” Youkilis said. “What actually happens is that they end up quicker to the ball.” My mind was blown.

Youkilis pointed out that he spent his whole career with that philosophy, and though one player’s strikeout rate (18.7%) and power (.197 isolated slugging percentage) don’t prove anything, it was an eye opener for me. He basically was saying that the power of suggestion might actually have some value, even if the content of that suggestion was technically wrong. And once I thought about it, I realized I’d heard a few smart hitters — including Mark Trumbo — tell me something similar before, but I hadn’t been listening right.

In any case, this is one of those testable situations with today’s tools of the trade. I asked Jason Ochart of Driveline Baseball if he could create two situations and chart the outcomes using the data collection devices for which Driveline is famous on the pitching end.

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Ever since I discovered (for myself, at least) that horizontal direction matters when modeling batted-ball distance, I’ve been fascinated by the concept of ideal spray angle. Every discovery I’ve made along the way has only led to more questions.

For example, it looks like a batter’s ability to pull fly balls ages better than his ability to hit opposite-field fly balls. But that finding is complicated by the fact that the distance of pulled fly balls ages worse than the distance on opposite-field fly balls. Screwed if you pull, screwed if you push: thanks, Father Time.

Now, with the help of Andrew Perpetua, we have a few more graphs to help us better examine the traits of pulled and pushed fly balls. It should provide some answers. And definitely more questions, too.

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The 2016 season featured the second-most home runs in baseball’s history. Though a few people around baseball want to attribute it to the placement of power hitters higher in the lineup or better coaching based on better data, the evidence that both exit velocity and home runs per contact are up across the league refutes the first, and the evidence of the latter is minor. It’s a bit of an open mystery, but it’s certainly possible that the ball is different now.

In any case, the fact that homers are up is irrefutable. And it’s on the game to adjust. So I asked many of baseball’s best managers a simple question: with home runs up, how have you adjusted how you approach the game? Lineups, rotations, bullpens, hooks: is anything different for them today than it was two years ago?

*****

Terry Collins, New York Mets: No, really doesn’t. The game has changed, that’s the game now: home runs. And we’re lucky we got a few guys who can hit ’em. That’s where it’s at. As I said all last year, our team was built around power, so you sit back and make sure they have enough batting practice and be ready to start the game. We’ve got a good offensive team. Neil. Getting Neil Walker back, that’s big. David back and Ces and Jay and Granderson. We got a bench full of guys that could be everyday players. We’re pretty lucky.

I watched the playoffs, too, and I know what you’re talking about. I talked to Joe Maddon a couple days ago about how the playoffs may change and he said, ‘We didn’t have your pitching. I’ll leave ’em in.’

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