The FanGraphs staff made its obligatory preseason picks before the season (naturally), and I think it’s safe to say that none of us have psychic powers. My picks of the Angels and Blue Jays to win their divisions — they’re not looking so hot right now. In my defense, I was just blindly going along with what our preseason WAR estimates told me. OK, not the greatest defense, but I figured Steamer + ZiPS + FG-created depth charts could produce better guesses than I could on my own. Especially with the roster changes that have happened lately, I thought it would be a good time to revisit our projections. The Angels came up the series victors against the Blue Jays in their recent four-game Battle of the Disappointments, but both teams are still far below the expectations put on them.  However, let’s examine: could they actually be good teams who have just been unlucky?

Most teams have played somewhere around 110 games this season. That leaves plenty of room for unpredictability. If you flipped a coin 110 times, you’d expect to get about 55 heads, right? Well, the binomial distribution says there’s only about a 49.5% chance of the heads total being within even three of that (somewhere between 52 and 58 times). MLB teams are pretty different from coins — they’re a lot more expensive — but I think you can apply the same principle to them. The above calculation for the coin assumes the “true” rate of heads is 50%. What would we see if we were to presume our projections’ estimated preseason win totals are actually representative of the “true” win rates for each team? The following table will show you: Read the rest of this entry »

Last year, the AL MVP debate turned into something resembling a culture war, with Miguel Cabrera representing the traditional methods of player evaluation while Mike Trout was the darling of the sabermetric community. In the final tally, Cabrera won in a landslide, receiving 22 of the 28 first place votes, but Trout and Cabrera were #1 and #2 on 27 of the 28 ballots submitted, with Trout sliding to third on just one ballot. While there was disagreement over which of the two was more valuable, there was broad consensus that they represented a tier unto themselves, with everyone else looking up to their excellence.

Well, it’s happening again. If you pull up the leaderboard for American League hitters, there’s Mike Trout at #1 (+6.9 WAR), followed more closely than last year by Miguel Cabrera at #2 (+6.4 WAR). While Trout blew away the field by WAR last year, Cabrera’s having an even better season in 2013 than he did a year ago, while Trout is just a little shy of last year’s remarkable pace. This year, instead of the big gap in WAR being between Trout and Cabrera, the gap is between Trout/Cabrera and everyone else; Chris Davis, at +5.1 WAR, is a distant third.

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At most, the trade deadline completely consumed you. Like a gas, it expanded to fill the entire volume of your being, and you lost everything but your unwavering anticipation. Family, friends, loved ones, employment — sacrificed, all of them, cast aside, so you could commit yourself to figuring out whether your team would trade for Bud Norris. At least, the trade deadline was a partial distraction, something besides the games to take your attention away from the games somewhat. We have only so much attention to give, and the deadline caused that attention to be divided. Only now can we get back to something approximating normal.

Because of the deadline, you might’ve missed what happened. Already this week, baseball has seen at least three highly unusual things take place on the field. I thought I’d take this opportunity to note all of them, just to make sure they didn’t slip by un- or under-noticed. I say “at least three” because it’s entirely possible I’m missing more rare events. If there is something I missed, you can blame the deadline. It divided my attention, too, and I couldn’t really help it. Now let’s get to appreciating the incredible.

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After a rumor filled day with no real action, it looks like the last night before the trade deadline is going to bring some actual deals, and the A’s have gotten the ball rolling by picking up infielder Alberto Callaspo from the Angels in exchange for minor league infielder Grant Green.

This is an interesting trade for a number of reasons.

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It’s bullpen upgrade day. A few hours after the Tigers added Jose Veras, the Braves got the lefty reliever they’ve been hunting for, landing Scott Downs from the Angels, and they got him for what amounts to a hill of beans.

Working against Downs’ value was his age (37), his contract (remainder of $5M salary), and his splits (basically a LOOGY at this point). Adding a couple of million in payroll for a guy who is probably a situational reliever at this point in his career seems to have been enough to scare off most bidders, because the Braves only had to give up reliever Cory Rasmus to get him.

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The last time I wrote about Edge% it was in the context of the Tampa Bay Rays using it to get their pitchers into more favorable counts on 1-1. But now I want to take that topic and drill a little deeper to understand how often edge pitches are taken for called strikes.

Overall, pitches taken on the edge are called strikes 69% of the time. But that aggregate measure hides some pretty substantial differences. Going further on that idea, I wanted to see how the count impacts the likelihood of a pitch on the edge being called a strike.

Here are the results:

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Last year, Mike Trout was 20-years-old, and he did things that no other 20-year-old in history had ever accomplished. He’s the only 20-year-old in baseball history to post a +10 WAR season, and it wasn’t just driven by his positive fielding numbers, as his 166 wRC+ was the best hitting performance any 20-year-old has ever posted. It was an historic season in many ways, but it was also the kind of season that didn’t look repeatable.

His BABIP was .383, and both his fielding and baserunning numbers were among the best in the game, but all of those variables are heavily influenced by speed, and speed peaks very early. During his run last year, I repeatedly noted that I thought Trout would probably settle in as more of a +6 to +7 WAR player, because his defense and baserunning would regress faster than his offense would improve.

And, really, his BABIP, his defense, and his baserunning have regressed somewhat. Trout’s UZR is just +0.5 despite spending about half of his games in left field, his BABIP is down to .357, and he’s only stolen 16 bases this year after swiping 49 last season. Trout noticeably bulked up over the off-season, and he doesn’t appear to be quite as fast as he was last year. He’s still a burner, but he’s probably not in the fastest player in baseball conversation anymore. So, in that sense, my expectations for Trout regressing have been vindicated.

Except, you know, his wRC+ has fallen from 166 last year all the way down to 163 this year. The BABIP correction has essentially been canceled out by an improvement in his contact rate, so he’s just not striking out as often as he was last year and the increase in balls in play has allowed him to maintain his offensive levels from last season. And, while his stolen base totals are down, he’s still taking a ton of extra bases, which shows up in his league leading +3.3 UBR, the part of our baserunning calculation that measures value from advancing my means other than stealing a base. Trout had a +5.0 UBR last year, so he’s actually on pace to get more value from his non-steal baserunning this season than he did in 2012.

Last year, Trout was the best 20-year-old in baseball history. This year, his performance is going to give him a shot at being the best 21-year-old in baseball history.

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The most exciting play in baseball, within context, is presumably the walk-off grand slam with two outs and a three-run deficit. Within context, I imagine it’s almost a perfect correlation between play excitement and Win Probability Added. This is why WPA works as both a baseball statistic and emotion statistic. Any immediate reversal of deficit to victory is going to be outstanding. From the other side, perhaps a game-ending and game-preserving strikeout or double play. Context leads to leverage, which leads to excitement, which leads to viewing satisfaction.

The most exciting play in baseball, removed from context, is up for debate. Some people say triples; some more adventurous, aggressive people say inside-the-park home runs. Some people say steals of home. Some people say other things. What a lot of these have in common is maximum hustle, or maximum effort. People respond well to players putting everything they have into a play, because then you’re watching world-class athletes at their most athletic. That’s one of the points of all this.

As it happens, there was particular hustle on display on Wednesday. And hustle from two of baseball’s premier emerging stars, in Mike Trout and Yasiel Puig. On the road in Yankee Stadium, Puig gathered for himself a hustle double. At home in Anaheim, Trout managed a hustle double of his own. To have two hustle doubles on the same day by different half-player/half-phenomenon entities — the two can’t not be compared. So, below, they’ll be compared, somewhat or mostly arbitrarily.

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Last night in Anaheim, Josh Hamilton had a really bad game. In five trips to the plate, he hit into three double plays, and in the two at-bats where he didn’t make two outs, he struck out, including a ninth inning whiff with the winning run in scoring position. For the day, he finished with a -.48 WPA, so while he didn’t single handedly cost them the game, he was the primary reason the Angels ended up dropping a 3-2 contest to the Mariners.

But I’m not here to lament Josh Hamilton again. His terrible performance is noteworthy, but I think it’s also worth acknowledging that Hamilton was fighting an uphill battle last night, because as a left-handed hitter in a game with John Hirschbeck behind the plate, he was screwed before he ever stepped up to the plate.

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We are a little more than two months into the season, and that means it’s time to check on early season velocity trends. As I’ve mentioned before, declines in velocity are a less reliable signal in April and May than in June and July, but nevertheless large declines can still be a solid predictor that a pitcher’s velocity has in fact truly declined and will remain lower at season’s end. Almost 40% of pitchers that experience a decline in April — and almost 50% in May — will finish the season down at least 1 mph. And while the signal gets much stronger in July, 40% is still a pretty sizable number.

So let’s take a quick look at the major decliners from April and May.

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