I realize that I can be a little too often drawn to bests and worsts. It happens because I’m lazy, but it also happens because those make for easy subjects to sell. I don’t need to convince you that the best of something is interesting. Same goes for the opposite. I’m just the messenger, providing exceptional fun facts. Baseball creates the fun facts. I just go and find them.

I have another fun fact to share with you. I have another potential historical worst. Several weeks ago, the Marlins were worth watching, because they were making an improbable surge into the wild-card race. The surge ended as abruptly as it started, and now the Marlins are just playing out the string. There are still players of significance, sure. Fans are still watching to see if Giancarlo Stanton will go yard. But let me give you a statistic to keep your eye on. Want a reason to pay attention to the Marlins’ final stretch? They could badly use some pitcher-hits. Otherwise they’re going to set a new low.

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Ben Lindbergh and Jeff Sullivan banter about the Glory Hole Recreation Area, solve the mystery of Bill Doaks, discuss archaic baseball language and how today’s baseball writing will age, and touch on an odd double play and another byproduct of 2017’s record home-run rate, then weigh in on the expansion of netting in ballparks and explore several ways in which MLB should borrow from baseball as it’s played in Japan and Korea.

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I was invited to appear on Ben Lindbergh and Michael Baumann’s podcast over at The Ringer this week. Among those topics discussed was the challenge of scouting in today’s game (a topic which Jeff Sullivan has recently explored) and the difficulty with macro-level planning in the midst of a record home-run surge (about which I wrote earlier this week).

The game is being played at the extremes, featuring more home runs than ever and more strikeouts than ever. When players are changing skill sets and approaches so quickly, how must evaluators evolve? While speed and strength will never go out of style, what skills should gain and lose value in the eyes of evaluators? Michael noted that perhaps it’s adaptability that should take on greater weight in evaluation. In an era where it’s more difficult to predict what’s next, anticipating how the game (or the ball) will change might be a player’s best tool.

Along those lines, it might behoove evaluators to place more weight on players who are curious. In an age with endless data from Statcast and other sources, asking the right questions can help an athlete better understand and improve his own performance. That’s trickier to evaluate, of course: it requires getting to know the individual and/or performing other types of due diligence. But those traits can make an impact.

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Now that we’re close to the end of the season, you’re going to see a lot of talk about the bests in certain categories. There’s a major award that goes to each league’s best pitcher. There’s a major award that goes to each league’s best rookie. There’s a major award that goes to each league’s best player (sort of). And there are further awards that are supposed to go to the best hitters. It’s seldom easy to identify a given season’s best whatever, but at least you can limit yourself to one year of data. That makes things simple, relatively speaking.

It’s half as simple, or twice as complicated, if you double the number of years. But that’s something you have to do if you want to measure improvement. And this is something I’d like to spend a few minutes on — who, among major league baseball players, is the most improved hitter? There’s no great reason to focus on this, I guess, but there’s no great reason to focus on anything. Major improvement is good. Makes for a compelling story. Why not find the most improved hitter? All we need to do is agree on a method.

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We’ve written about a possible sea change in baseball over the last few years here, using phrases like “point of contact” and “attack angle” to better articulate the emergence of a Fly-Ball Revolution, itself another relatively new expression. Add those phrases to all the ones we’ve been compelled to learn for the benefit of Statcast alone — terms like “launch angle,” “exit velocity,” “spin rate,” etc. — and it’s obvious that our baseball dictionaries are getting an update on the fly.

Simply because we’re using a new lexicon, however, doesn’t mean we’re using it correctly — or, at the very least, that some of our assumptions couldn’t benefit from an update, as well.

With that in mind, I decided to examine some of the most notable and commonly used terms in this new language of hitting. With the help of the players themselves, perhaps we can better see what lies beneath each of them and attempt to reach something closer to a common understanding.

Fly-Ball Revolution

“I wish you wouldn’t call it the ‘fly-ball revolution,'” Daniel Murphy told me earlier in the year. “Coaches then think we’re talking about hitting the ball straight into the air. Call it the ‘high-line-drive revolution.'”

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The Rockies are struggling again. After winning eight of nine to re-solidify their lead in the race for the second Wild Card spot, they’ve now lost five of seven, including their last three in a row. Meanwhile, the surging Brewers have won nine of 12, closing Colorado’s lead to just a single game. Yesterday, they got shut out by Matt Moore, who has been one of the worst pitchers in baseball this year. The team’s inconsistent offense broke up for 16 runs last Saturday, but scored a grand total of 12 runs in the other five games they’ve played in the last week, and now the Brewers are nipping at their heels.

But if you look at our Playoff Odds, our algorithm still thinks the Rockies are in a pretty good spot, with a 68% chance of capturing the second Wild Card spot, versus just 16% for the Brewers. With just a one game lead, this is a pretty big discrepancy, and might seem like our projections are just wildly overrating the difference between the two teams. However, those calculations aren’t just accounting for the projected performance of the Brewers and Rockies over the next week and a half, but also taking both teams’ schedules into account. And the schedules for the two teams couldn’t be more different.

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For the last 15 years, Tom Tango — now senior database architect on MLB’s Statcast team — has hosted the Fans’ Scouting Report on his site, tapping into the wisdom of the crowd to create another data point to help in the evaluation of a player’s defensive performance each season. While we’ve hosted the results of the voting on FanGraphs the last few years, we’re excited to announce that we’ll now be hosting the voting for the project on the site, as well.

Using the link to the scouting report here, you will be able to provide your evaluation of the defenders on a specific team; this should be for the team you watch most frequently. Instead of providing an overall valuation of a player’s defensive contribution this year, you’ll be grading players on a series of individual skills, which will be tallied into a final overall rating. These ratings should be drawn from your own observation, and as best as you can manage, not be influenced by other defensive metrics you’ve seen for any particular player.

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Since the second Wild Card was introduced in 2012, Major League Baseball has enjoyed most of what the expanded playoff field has done for the game. The extra playoff berth has made division titles significantly more important. Winning a division outright allows a team to bypass the play-in game to advance into the October tournament. The second Wild Card has also created two more playoff races, allowing the majority of clubs to retain some plausible chance of reaching the postseason into the second half.

The Wild Card play-in game has also made for some compelling television, manufacturing two made-for-TV elimination games.

But the new format isn’t without its flaws, the most prominent of which, in the opinion of this author, is this: the No. 1 Wild Card can be a significantly better team than the No. 2 Wild Card but is nevertheless subject to playing in something of a coin-flip game after the grind of a 162-game season. It can be pretty unfair to have, say, a 98-win team lose to an 86-win team in a one-game playoff.

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