Archive for Draft

Value vs. ADP: Players 51 to 100

In my last article, I examined the potential value differences between the top-50 rank players and their average draft position (ADP). Today, I will examine the next 50. While the first list contained quite a few players moving up, today’s list is a little more balanced with over and undervalued players.

One of the biggest takeaways from the first article was the extra replacement value catchers receive in a 2-catcher format. To simply explain the idea, I will turn to Joe Bryant who goes through a fitting example but with football.

The league’s bottom catchers are so bad so any catcher who can hit has good value. Evan Gattis being ranked #17 got most of the scrutiny in the rankings. As was pointed out, the projection may be high on the plate appearances but the process was still sound. Here is how Gattis compares to the last catcher ranked (Yan Gomes) and Francisco Lindor compared with the last middle infielder (Kolten Wong).

Positional Scarcity Comparison
Name AVG HR R RBI SB
Evan Gattis 0.254 30 73 87 2
Yan Gomes 0.232 9 26 29 1
Difference 0.022 21 47 58 1
Francisco Lindor 0.292 26 96 90 14
Kolten Wong 0.268 12 58 56 9
Difference 0.024 14 38 34 5

Yan Gomes is such a sink, especially with a total of 55 Runs+RBIs. It’s imperative to understand and value catchers correctly for each league formats. It’s a potentially huge advantage for those owners who spend the time. Read the rest of this entry »


Top 50 Ranked Players: Value vs. ADP

“Long ago, Ben Graham taught me that ‘Price is what you pay; value is what you get.’ Whether we’re talking about socks or stocks,

… or fantasy baseball players

I like buying quality merchandise when it is marked down.” –Warren Buffett

Collecting as much value (talented players) from as little possible resources (draft picks or auction dollars) is the key to starting off a winning fantasy season. From now until each draft, owners should be trying to calculate player values and the possible range of outcomes. With these value ranges in mind, owners can use their draft resources to get the best deals. It’s time to start finding those deals.

To find the bargains, player values first need to be calculated. To create the values, I will use the average final standings from the 32 leagues in the 2017 NFBC Main Event (15 team, 5×5 roto with AVG).

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Overperformance Metric: Who’s Most Likely to Breakout

Breakouts and busts. If there was a set procedure for finding both, it would have been found years ago and incorporated into projections. For now, all we have is the overall chances of either happening. Over the past few weeks, I’ve been trying to put a simple value on these chances. I’ve completed the underperforming calculations and will now finish the overperforming metric. Additionally, I will compare both metrics to get an overall idea of the projection’s volatility.

In my last article, I found the breakout thresholds for plate appearances (222 PA) and wOBA (.040) and won’t change these values. Besides these two values, I determined who had both thresholds crossed and when both were partially achieved. The overperformance needed to increase near to the threshold values.

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When Plate Discipline Sticks

A few days ago, Jake Leech asked me if Zack Cozart’s 2017 improved plate discipline would stick into 2018.

https://twitter.com/Stroke_19/status/931525718667943936

Cozart saw quite a bit of improvement with his K%-BB% dropping by 6% points.

Note: I like using K%-B% to get an overall value for a hitters plate discipline. Earlier this year, I investigated what early season stats point to a true breakout. K%-BB%, along with launch angle (FB%), were the two key factors to focus on.

Zach Cozart’s Plate Disciple
Season BB% K% K%-BB%
2016 7.3% 16.5% 9.2%
2017 12.2% 15.4% 3.2%
2018 (Steamer) 8.8% 15.6% 6.8%

The Steamer projection has his K%-BB% regressing closer to his 2016 values than the ones from 2017. This is how projections work with previous season stats having some weight along with some regression.

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Underperformance Metric: Who’s At Risk For Missing Expectations

A few weeks ago, I began the process of determining an underperformance metric. In the article, I laid out the groundwork determining the drop off in plate appearances (PA) and production (wOBA). With these thresholds, I created several metrics, each with its own advantages and disadvantages. I’m not setting the values into stone yet but I’m getting closer to a solution. I’ve found a few value I like better than others.

In the original article, I found fantasy owners considered a drop in 220 PA from 600 PA (37% drop) and of 0.035 wOBA from .350 wOBA (10%) to be the thresholds. I didn’t mess with these two values. Besides the pair, I wanted to know when both occurred. Additionally, from a discussion in the comments, I found when either PA or wOBA thresholds where met and when both dropped close to, but not over, the thresholds. This value (called Minor Drop) I found to provide the most overall value.

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Another Draft, Another Review: NFBC Draft-and-Hold

I had participated in a too-early industry mock draft that ended a couple of weeks ago. Then I attended First Pitch Arizona (FPAZ), which I reviewed and at which I participated in another arguably too-early draft. This post is about that latter draft. Sorry for all the reviews lately.

The draft, which took place live at FPAZ, is hosted by the National Fantasy Baseball Championship (NFBC). It’s a 15-team league, but instead of being a standard 30-round draft (seven bench players) with in-season transactions, it’s a 50-round draft-and-hold with no transactions (don’t worry, this only covers the first 23 rounds). I won’t say it completely changes the dynamic, but it does, or at least should, dramatically alter the plans of owners who take a lot of risks and plan to hedge them using their free agent acquisition budgets (FAABs).

What’s worse is I had, and still have, done virtually zero planning for the 2018 season. Accordingly, I relied on a strategy I outlined in the previously hyperlinked too-early mock draft review. I’m a risk-averse guy, so I typically draft player who are boring — boring because they’re old and/or you know what you’re getting. Low variance, things of that nature. This strategy inadvertently exacerbated this tendency of mine in these drafts, and the draft-and-hold nature of this league further compounded it. Without looking, the average age of my team must be, like, 33 years old.

But I like it. It’s so unsexy, so unapologetically (actually, very apologetically) boring that it’s almost not worth review. Except when I talk about boring, unsexy teams, I hear from guys like Jeff Zimmerman, Mike Gianella and so on — guys in the industry expert leagues such as Tout Wars and LABR — who say this is their jam, and that’s reassuring.

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Auction Calculator Results: Starting Pitcher Tiers

The Auction Calculator is now loaded with the 2017 end-of-season data along with some 2018 projections. I’m sure the preceding comment will be sufficient to keep many readers busy for a while. I’m glad some came back. While its output can lead down several different discussion paths, I’m going to analyze what I consider to be the third starting pitcher tier. I feel many 2018 leagues will be won or lost by navigating this minefield.

So far this offseason, fantasy owners have placed four starters (Kluber, Kershaw, Sale, and Scherzer) in the top tier, After those four, I believe there are a dozen or so pitchers who would make acceptable aces, especially if they can be doubled up with another pitcher from this tier.

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Meta-Trends for 2018 Fantasy Season

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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Early Mock Thoughts: Starting Pitcher ADP

Yesterday, the Justin Mason posted the ADP from four of the slowest drafts containing industry experts and myself. One thought I had after a handful of rounds was the lack pitching available and how the good were the available hitters. I decided to go back and examine draft results from last year and these draft to see if pitching was being taken early. While it wasn’t, some other information could be extracted.

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How To Win Ottoneu: An Interview with Keith Smith

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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