If you don’t have an issue with position scarcity adjustments, then I already furnished 2016 Fantasy Baseball Rankings with Steamer Projections and highlighted sleepers last week.

Naturally, position scarcity remains an argument, but there is one solid way around the argument: find the best value (projections relative to average draft position) within the scarcer positions and prebuild a roster with options heading into the draft; then you can focus on best available value and not position scarcity. I will explain and provide options below.

Below, is an embedded file of updated (1.5.2016) NESN NFBC Average Draft Position and Rotochamp Composite projections (Rotochamp & Steamer). This time, I did not adjust the rankings for position scarcity. Everyone is ranked simply by their relative value (hitters to all other hitters and pitchers to all other pitchers). That value is then compared to ADP. I also included the sorting capability so that you can manipulate the file:

Read the rest of this entry »

Last week, Paul Sporer reviewed NFBC average draft position (ADP) data. The week prior, I posted 2016 Fantasy Baseball Rankings using Steamer Projections and the FVARz approach to valuation.

With our powers combined, here I will depict how current value and draft position match up:

Read the rest of this entry »

My fellow RotoGraphs writers and I have been working through our 2016 player evaluations. I was tasked with the declining J.J. Hardy. I noticed that two of his core hitting traits, the ability to make contact and pull the ball, had degraded from 2013 to 2014. While Hardy saw an overall decline in his skills when these two skills declined, I wanted to see it was common among other players. I was able to find that decline in these two areas is a sign of a player on a fast decline.

Read the rest of this entry »

It’s hard to call J.T. Realmuto under the radar when he appeared here on FanGraphs’ Top 200 preseason, Baseball America’s Top-100 and Keith Law’s Top-100 (Insider required), yet here we are. Realmuto finished as the ninth best catcher among according to our End of Season Rankings despite ranking a modest 21st in our Mid Season Update. His .259/.290/.406 line translates to an 86 wRC+, though he still managed to be fantasy relevant in a fair amount of leagues. Realmuto smacked 10 home runs and even stole eight bags in his 467 plate appearances, with the steals leading all catchers with at least 300 PAs. Read the rest of this entry »

Javier Baez has been getting quite a bit of acclaim since returning to the Cubs with his reduced strikeout rate. In 2014, Baez had a 42% strikeout rate (K%) in the majors and 2015 value of 22% K% looks to be a huge improvement. Don’t get too excited about this small sample of data as his swing strike rate (SwStr%) points to a strikeout rate which will likely increase quickly.

Historically, a hitter’s strikeout rate correlates almost identically to their swinging strike rate. The reason to use SwStr% instead of K%  is because it stabilizes a bit faster. I took all hitters since 2002 who had at least 200 plate appearances in a season and found the linear correlation between their strikeout rate and swinging strike rate. The R-squared between the two values was .947 with the equation working out to:

K% = 2.25 * SwStr%

With this little bit of information, here is a look at Baez’s stats in the majors the past two seasons.

Season: SwStr%, Predicted K%, Actual K%
2014: 19.2%, 43.2%, 41.5%
2015: 18.5%, 41.6%, 22.2%

Read the rest of this entry »

Yesterday, I took the first look of the 2015 season at starting pitcher’s xK%. I began with the potential surgers, those pitchers whose expected strikeout rates were most above their actual marks. Today will be the opposite side of the coin. These pitchers have posted strikeout rates significantly above what their mix of strike percentage, swinging, called and foul strike rates suggest. They could be in for strikeout rate collapses if they don’t improve those peripherals.

Read the rest of this entry »

The buy low and sell high strategy has been a favorite one of fantasy leaguers for as long as fantasy sports has existed, I would imagine. Unfortunately, it’s nearly dead given the wealth of freely available information and the deeper knowledge we now possess about how to evaluate player performance. Nearly dead, not completely dead. To buy low or sell high on a player, you need a story, a narrative that essentially offers up confirmation bias and makes the owner you’re dealing with feel all fuzzy inside when agreeing to the trade.

Read the rest of this entry »

Opening day is finally upon us! I conclude this year’s (condensed) Pod’s Picks series with starting pitchers. If you missed them, here are the infielders and outfielders. The bullish group will only include those I ranked within my top 75 and the bearish only players the consensus ranked within their top 75.

Read the rest of this entry »

Yesterday, I opened 2015 Pod’s Picks season with my infield bullish and bearish selections. Today I’ll finish my look at hitters by moving into the outfield. The bullish group will only include those I ranked within my top 60 and the bearish only players the consensus ranked within their top 60.

Read the rest of this entry »

“Baseball is a game of fives.” So said my best childhood coach. And while the statement doesn’t make much sense in retrospect (it had something to do with there being no five-run home runs), it did come to mind while pondering the present work. It would seem that fantasy baseball writing is also a game of fives – five hitters I avoid, five actual sleepers, and five actual young sleepers.

Read the rest of this entry »