I was recently asked the following question by Werthless.

Jeff, what are you trying to accomplish here? Are you trying to estimate the volatility in an individual player’s projection? That’s an interesting question, and directly related to the risk of the player. Are you trying to do better than Steamer at predicting performance? That’s a big endeavor. Are you trying to predict injuries? Might be better to do that directly. Are you trying to better estimate number of plate appearances by estimating job security? Might be better to do that directly.

Then, you can combine the models to perhaps better quantify a player’s risk of meeting preseason performance objectives. You can apply your model onto a different year’s data to see how well your predictions match reality (ie. Do the higher risk players actually underperform more often than lower risk players).

I do have a plan I’m implementing but it wasn’t known to my readers. Sorry. I want to understand which hitter traits to concentrate on. If they don’t exist, I created some.

For a few season’s now, my hitters have steadily outperformed my pitchers. In my three main leagues, here are the pitching-hitting splits from this past season.
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Major league batters are generally shifting towards a fly ball approach. The idea is to hit more balls in the air. Not necessarily fly balls, in fact there are those who wish to only hit line drives. When I say in the air, I mean ‘not on the ground.’ You want the ball to leave the infield before it bounces, ideally. Preferably this happens at a very high speed.

Duh, no kidding, right? Well, yeah. Obviously hitting the ball out of the infield is the goal for just about everyone. The goal isn’t the key, we’re talking about the approach used to actualize the goal. Read the rest of this entry »

Humans are kind of a mess. One of our many failings as a species is a tendency to oversimplify complex issues. I think of it as the “good versus evil conundrum.” I’m sure academia has a better name for it. Basically, we prefer wholesome heroes and fell villains rather than the equivocating mess we typically find in reality.

Good guys sometimes do bad things. The venerable Abraham Lincoln suspended habeas corpus during the Civil War to deal with dissidents. Most of the so-called evil folk in history were trying to make a better world for themselves. They were the good guys in their story. Our tendency to ignore the gray area between good and evil – i.e. the nuance – can be found in baseball (and fantasy baseball) too.

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This past weekend, I was in Phoenix for Baseball HQ’s First Pitch forum. It’s an intensive few days of catching up with old friends and focusing on the upcoming fantasy baseball season. There was an underlying theme of the weekend, the fantasy baseball game is being forced to change. Some game facets have experienced some massive adjustments. The following are some of the meta-trends which have quickly popped up over the past few seasons.

Home runs are way up

A few days ago I wrote the following incorrect statement about Carlos Martinez for a 2018 player preview.

His 1.19 HR/9 will likely drop back below the league average.

It was pointed out to me, his home run rate was below league average. I was for sure it was not near 1.20 but I was wrong. Here are the recent league-wide HR/9 values.

2014: 0.86
2015: 1.02
2016: 1.17
2017: 1.27

I remember when the HR/9 hovered around 1.0. Not anymore. Some other pitching stats are feeling the effects of the jump like ERA, but the root cause is more home runs.

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Last year I interviewed Brent Daily, winner of the 2016 Ottoneu Champions league.  This year I’ve done the same by  interviewing Keith Smith, who led his Harrisburg Mayflies to a dominant victory in 2017.

Q: Well done on a big victory in 2017.  How long have you been playing fantasy baseball?

I started playing in the late 80’s. I forget the exact year but I remember Carney Lansford dominating. Stepped away for a number of years but got hooked again when a friend introduced me to Ottoneu.

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Sunday, October 15th is a significant signpost for the fantasy baseball off-season as it marks the beginning of Ottoneu arbitration, the 30 day process that helps leagues maintain competitive, economic balance. Ottoneu offers a ton of great features in its standard platform, but there are few more intimidating to a brand new owner than this annual salary-sharing arbitration event. Here is a summary of the more popular “allocation” option:

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Dear Disengaged Owner,

This has been hard for you in the past, but please read carefully.  Today, we are officially ending our relationship.

I wish I could say it’s been fun, but I think we both know this is long overdue.  As good as your original intentions may have been when you first joined our league, this is no longer meant to be.  But don’t worry, it’s not me, it’s you.  

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Ownership percentages are from CBS leagues.

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We’ll be writing each day up again like last week, but here’s a quick primer on the pitching slate next week for possibly available arms.

*all stats cited for the 2nd half unless otherwise noted

Lefty

Tyler Anderson v. MIA – It is in Coors, but MIA has the 4th-worst wOBA v. lefties (.304) in the second half thanks to just a .126 ISO.

Brent Suter v. CIN – CIN has the 26th wOBA v. lefties (.305).

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Continuing our series of looking at widely available starters who might be worth a stream down the stretch, here is a look at Sunday. Tough slate with a general lack of really intriguing arms and then some of the ones who are appealing have to face very difficult matchups. These are ranked in order of how much I like them:

Luiz Gohara, ATL (4%) v. PHI (Pivetta)

He walked four in four during his MLB debut, but he’s been walk-free in his last two starts – both against Washington – allowing five earned in 12.3 IP with 10 K. Facing Texas and then Washington twice to open your MLB career is brutal, so this will be his best matchup by far. The Phillies are 27th in wOBA against lefties with a .308 mark. You might want to hang onto him for next week at Miami if this goes well.

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