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Have you seen Odrisamer Despaigne’s strange crossed-finger grip? I noticed a while ago and wrote about it, and then went on television talking about it, and then was quoted by a colleague, all the while saying that this grip was his changeup grip. It had to be the changeup because I thought I heard that it was and what other pitch could be so weird, and since his change was so strange by movement, it all made sense.

Well, I was wrong. And there’s video proof that I was wrong, all embeddable, searchable, and posterized for posterity too.

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At first, it looked like pitchers that play their home games in extreme parks have extreme home run splits — that pitchers in pitchers’ parks go on the road and give up more home runs than expected. But it turns out, it might just be a Pittsburgh Pirates problem.

Staffs that leave the six most pitcher-friendly parks to go on the road have a 10.5% home run per fly ball rate, we found. But if you remove the Pirates (12%), that number for other six drops to 10.3%, very much close to the 10.1% sample average.

Take a look at the road homer per fly ball rates per team over the last five years. There’s a clear outlier.

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You play 81 games at home a year, so it seems like it might be a good idea to think about that park when you’re building your team. Then again, you play 81 games on the road, maybe it’s not a good idea to worry too much about one half of the ledger, particularly if your home park is an extreme one.

Extreme parks lead to extreme home-road splits. That part seems obvious, but it bears out in the winning percentage, too. Take a look at how teams that have called extreme parks home have faired over the last five years compared to the middle.

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The fantasy baseball industry is more popular every day, but it sometimes seems rooted in yesterday. The statistics have moved on since it was invented in the seventies, at least. Is today’s fantasy baseball too far removed from real baseball? Is it just fake?

Fantasy’s traditional scoring system does seem arcane. That old 5×5 fantasy rotisserie game uses runs, RBI, batting average, home runs, and stolen bases as the key batting statistics, and many of those stats have fallen by the wayside as we attempt to better evaluate players. Runs and RBI, in particular, are not consulted at all when it comes to the modern stats of the day. They are just too context-dependent, since your teammates are heavily involved in both.

On the pitching side, the story is the same. Wins are one of the five categories, and a prominent numbers-savvy analyst has declared war on that statistic. Strikeouts, like home runs, are remarkably clean in that they require two participants and no judging from a scorer. But WHIP (Walks plus Hits over Innings Pitched) is full of noise — each hit is not only declared as such by a scorer, but it’s made into a hit through some nebulous combination of pitching and fielding as well.

But if that makes you want to pet fantasy baseball on the head, you might be surprised by how well those ten “old” statistics track with the more modern versions we have today.

Over at FanGraphs, we’re debuting a fantasy auction calculator and ranking tool today. The basic mechanism that powers the calculator is an attempt to look at the spread of certain statistics over a common baseline, look at a player’s production in each stat compared to that spread, and then adjust for position. If that sounds familiar, it’s because it generally follows the roadmap for Wins Above Replacement, one of today’s more sophisticated and complicated advanced summary stats.

If you compare the results of that auction calculator using 5×5 roto stats — batting average, home runs, RBI, runs, stolen bases, wins, ERA, WHIP, strikeouts, and saves — to the current WAR projections for next year, the two valuations are actually fairly close. In laymen’s terms, the ‘old’ 5×5 stats predict over three-quarters of the variance in WAR projections. That’s a strong relationship.

Here are the relevant correlations for a few different sets of scoring systems. (All p-values less than .0001, r value shown.)

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If you watch the Athletics, you may have noticed something about their pitching staffs over the last few years. They’re… shorter than average. Sonny Gray, Scott Kazmir, and Jarrod Parker are all six foot one or shorter, and none of the A’s pitchers are taller than six foot six.

Look across the country at the Phillies, and the difference becomes more stark.

@enosarris Phillies have 4 guys 6'6" or taller to the Athletics 0, it would be interesting to see if it is an org philosophy or just random

— Matt Winkelman (@Matt_Winkelman) February 20, 2015

Turns out, these two staffs define the range between the tallest and shortest pitchers in the majors.

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Maybe it was all a setup for the headline, but in Anthony Fenech’s piece about Justin Verlander and his effort to return to glory — titled “Tigers’ Verlander ‘way ahead of the curve’ early this spring” — the pitcher points to the current state of his curveball as a sign of early success.

“I’ve seen a pretty dramatic difference,” he said. “The curveball seems to be a lot better already than it was at any point last year.”

Catcher Bryan Holaday, who stood in for the final few pitches of the session, agreed, saying the spin was nice and tight.

Verlander notices the difference, especially in the break, from last year, when his breaking pitches, “Neither one of those pitches was good at all last year. They didn’t have the same bite.”

Much of the previous analysis of Verlander’s poor year focused on his fastball velocity and fading release points. And the pitcher himself referenced those factors a bit when, later in the piece, he admits that he was underweight due to last year’s offseason surgery on his core.

But this might be the first time we’ve heard about the curve missing tightness.

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We’re in that awkward time between the true offseason, when most deals are made, and the spring, when all the Best Shape of His Life news stars flowing in. Let’s call it Projection Season, because we’re all stuck ogling prospect lists while perusing the projected numbers for the major league squads.

One of the most frustrating things about projection season can be the fact that most projection systems remain agnostic about change. Many of the adjustments the players talk about in season don’t take, or take for a while and then require further adjustment to remain relevant. So projections ignore most of it and assume the player will continue to be about the same as he’s always been until certain statistical thresholds are met and the change is believable from a numbers standpoint.

But projections do worse when it comes to projecting pitching than hitting, so there’s something that pitchers do that’s different than the many adjustments a hitter will make to his mechanics or approach over the course of a season. The submission here is that pitchers change their arsenals sometimes, and that a big change in arsenal radically changes who that player is.

Look at Greg Maddux pitching for Peoria in 1985. He’s not the Greg Maddux we know and love. Watch him throw fourseamers and curveballs. It was enough to get through the minor leagues, but, at that point, he’s barely throwing the two pitches that made him a Hall of Famer eventually.

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