Archive for Projections

How Sprint Speed Relates to wOBA–xwOBA

Fantasy analysts and enthusiasts alike are still searching for ways to use Statcast’s expected wOBA (xwOBA) metric meaningfully to gain an edge. Unfortunately, beyond leveraging the difference between xwOBA and actual wOBA (what I, and probably countless others, refer to as the “wOBA minus xwOBA differential”), I don’t know yet how else you can use xwOBA effectively. Given already-widespread use of the metric, the minimal edge you can glean will come from interpretation.

I discussed the interpretation of xwOBA multiple times in 2018. In May, I highlighted hitters on whom to buy low because of their extreme/outlier wOBA–xwOBA differentials. In July, I called out xwOBA’s inability to account for what appeared to be the ball becoming un-juiced, thereby overestimating xwOBA across the league. In September, I investigated the predictiveness of xwOBA in-season (that is, the predictiveness of first-half xwOBA on second-half wOBA).

I discussed all of these topics during my presentation at BaseballHQ’s annual First Pitch Arizona forum, especially the former-most. Basically all of the hitters I tabbed as buy-lows outgained their prior performance by substantial margins — all of them, that is, except for Victor Martinez. Could he be considered a miss? Sure, except he was different from the rest of his fellow underachievers: he perennially underperforms his xwOBA. Perhaps the better question, then, is: Why was he a miss?

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Two-Pitch Starters

A diverse pitching arsenal can help a starter successfully navigate a lineup several times since hitters have a harder time sitting on a single pitch. I went through the 2018 starters and found four pitcher groups who are the two ends of the spectrum. Either they rely on two pitches or have a diverse arsenal.

Many articles have been written about times through the order but the Holy Grail of research articles is the one MGL wrote a few years back. In it, he quantified how much having a third pitch helps. The research holds up even now. I took the 206 starters who threw at least 30 innings and found the percentage of pitches which were fastballs and next highest thrown. Normally, the average was around 75%. Then, I divided up the pitchers into 5% increments. Next, I subtracted the ERA from an average of their ERA estimators (FIP, xFIP, kwERA, SIERA) and here the average values. Read the rest of this entry »


Prorated 2018 Hitter Roto Values

I try not to miss examining players who had great, short seasons. An injury or time in the minors kept them off the end-of-season rankings. They flew under the radar but given a full season of playing time they stick out and could provide hidden value. Today, I’m going to start by examing the top prorated hitters.

I needed a way to value the hitters and decided to create an overall Standing Gain Points (SGP) formula from The Great Fantasy Baseball Invitational leagues. The 13 15-team leagues were set up with  14 hitters (1 C, 2 Util), 9 pitchers, and used AVG. Tanner Bell and I will be providing this formula, along with several others, in our new book, The Process, available within weeks (shameless plug).

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2018 Pod Projections: Tommy Pham — A Review

Let’s wrap up my 2018 Pod Projection reviews, ending with Tommy Pham. A surprise breakout in 2017, we didn’t truly know what we were going to get in 2018. A move to Tampa mid-season didn’t exactly benefit his offense as he merely went from one pitcher friendly park to another. Let’s find out how he ended up performing compared to my projection.

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Potential Pitch Mix Improvements for Free Agents (Part 2)

Last week, I started digging through the free agent pitchers and found those arms who could improve on their pitch mix. Three prime candidates, Jeremy Hellickson, Matt Harvey, and Derek Holland, stood out. This installment includes the older pitchers from MLBtraderumors free-agent starter list while still ignoring those who may or may not become free agents. I’ll look into them once it’s official they are a free agent.

As I said in the previous article:

I’m just going to focus on the each of the pitcher’s 2018 pitch mix. I can’t assume they’ll develop a new pitch, so I need to work with what they showed last year. The two most common ways for pitcher to improve is to drop a horrible pitch or drop their fastball usage. These changes don’t guarantee an improvement but for now, the focus is on pitchers with upside beyond their projection.
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After going through the pitchers, I found they fit into three main groups depending on if changing their mix could help. This ranking is in no way a ranking of pitcher talent but I’m sure someone will bring it up in the comments. These are just pitchers who I believe can improve by adjusting their current pitch mix.

Major Improvement Candidates

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2018 Pod Projections: Shohei Ohtani — A Review

Shohei Ohtani was one of the most hyped rookies in recent memory. Fueling the excitement was the fact that he came over from Japan and he was a two-way player, both pitching and hitting, and doing each well…very well. Obviously, attempting to translate performance from a foreign league to MLB is difficult, and then you have to actually forecast the upcoming season, which is far tougher than a regular run of the mill projection for an MLB veteran.

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2018 Pod Projections: Luis Castillo — A Review

Let’s return to reviewing my preseason Pod Projections, this time with Luis Castillo, a popular sleeper choice and breakout candidate, and for good reason. My original writeup is here.

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Pod vs Steamer — Stolen Base Downside: A Review

Yesterday, I reviewed my stolen base upside guys, after comparing my Pod Projections to Steamer projections in the preseason. Today, I’ll review my downside guys. Let’s see how they performed.

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Why We Missed: Hamilton & Gordon

With steals becoming more scarce, owners were forced to reach for the few stolen base sources which could carry a team. In 2018, Dee Gordon and Billy Hamilton were supposed to be two such sources. Both disappointed their owners but the risk of a decline was evident even though their owners, which includes the author, ignored them. The owners were hoping for a stolen base panacea but ended up with burnt pancakes.

Going into the season, our Depth Charts projected Hamilton to have the most stolen bases at 52 and Gordon was third at 46. Both missed badly with Hamilton stealing 34 and Gordon with 30. In my Tout Wars league, 16 steals were the difference between 7th and 2nd in the category.

The reason for their decline didn’t involve their ability to steal a base. Both couldn’t hit enough to get on base and continue leading off. Both had on-base rates under .300 and OPS’s in the low .600’s. By the season’s end, both were deservingly hitting at the bottom of the lineup (Hamilton 106 times, Gordon 34 times). In all fairness, their projected OPS values (.674 and .648) were below the average catcher (.676).

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Why We Missed: Mitch Haniger

Mitch Haniger surprised about everyone this season with top-25 production when his average draft position was over 200 in NFBC leagues. In all fairness, he should have made several sleeper lists but the industry failed to pick up on his productive but ignored 2017 season.  He’s the type of hitter owners need to focus on rostering, late-round injured hitters.

His stats speak volumes. Here are some of Haniger’s projections and results over the past two seasons.

Mitch Haniger’s Last Two Seasons
Stat Source PA AVG OBP SLG HR SB
2017 Steamer 470 .249 .315 .413 15 6
2017 April 95 .342 .447 .608 4 2
2017 April – June Strained Oblique
2017 June 65 .231 .367 .354 2 1
2017 July 68 .176 .233 .279 1 0
2017 August 38 .211 .250 .474 2 0
2017 Sept/Oct 119 .353 .374 .613 7 2
2017 Full Season 410 .282 .352 .491 16 5
2018 Steamer 536 .253 .324 .433 19 7
2018 Full Season 683 .285 .366 .493 25 8

His projection coming into 2017 was decent with a 20 HR and 8 SB profile when prorating to 600 PA. The season started out great until he went on the DL with an oblique injury which lasted for over a month. He came back from the DL, struggled, got hurt a coup of times (finger and face), and finally turned it on over the last month. This profile screams sleeper and everyone slept on him.

By just prorating his 2017 season to 600 PA, he would be at 23 dingers and 7 bags with an acceptable .282 AVG. His results were similar to another pre-season unknown, Marwin Gonzalez (23 HR, 8 SB, .303 AVG). Gonzalez’s average ADP was 123, about 100 picks before Haniger went off the board.

As for Haniger’s 2018 season, he showed the value of a well-rounded player. A near .300 batting average, over 20 homers, and about 10 stolen bases placed him as a  top-25 overall batter. Unexciting stats can still be good.

Going forward, owners can take several lessons from this failure. First, dig into hitters after pick 100 who struggled with injuries but showed positive production when healthy. Most owners are going to hope the top names like Kris Bryant and Jose Altuve will rebound. They aren’t going to surprise anyone. Instead, players like Kyle Seager (toe), Steven Souza Jr.(pec), and Jorge Soler (rib) might be acquired for nothing and end up being a top-50 player.

Another item is to prorate each player’s previous season to 600 plate appearances to see if anyone pops up if given more playing time. With Haniger’s nearly identical pro-rated 2017 and 2018 seasons, his 2017 season would have stood out and owners could have taken notice. Instead, he was relegated to the reserve rounds.

Missing on Haniger’s points to some obvious projects for me later in the offseason. Until then, let me know of any players who the industry missed on and there was no obvious cause.