Using a format similar to the one Paul Sporer recently posted for 2020 Roto player rankings, below is the 2020 ranking of the Top 20 Shortstops for Ottoneu fantasy baseball.  Ottoneu leagues are auction style, but with no salaries listed (league dependent), think of these lists as simplified “snake draft” rankings (“which player would I take before the next”), or a value ranking of players above replacement level for 2020. Players with multi-position eligibility may receive a slight bump in value (2020 positions listed).  You can reference average Ottoneu player salaries here, but keep in mind these salaries fluctuate throughout the winter as rosters shape up towards the January 31st keeper deadline for all leagues.

Previous 2020 Ottoneu rankings:

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Edwin Encarnación had been overshadowed by bigger-name free agents throughout the Hot Stove season, but he had the Christmas Day headlines all to himself. That’s when reports emerged of the 36-year-old slugger reaching an agreement with the White Sox on a one-year, $12 million contract with a 2021 team option. There had not been much buzz over the market for Encarnación, possibly because he will turn 37 in January and his main appeal is as a designated hitter. Perhaps he also received less attention because of missing the vast majority of the final two months of the 2019 season due to a fractured right wrist and a strained left oblique.

Despite missing a substantial chunk of the season, Encarnación smashed 34 home runs. This was two more than he hit for the Indians in 2018, and his .287 ISO was his highest ever. Encarnación wasn’t hitting the ball harder — his 94.4 mph exit velocity on flyballs and line drives (EV FB/LD) was within 0.2 mph of his averages from 2017 and 2018 — but he was hitting it a lot higher. His 22.5 degree average launch angle was more than four degrees higher than any of his previous averages during the Statcast era, and his 50.6 percent flyball rate was a career high.
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Tigers sign Jonathan Schoop and C.J. Cron to 1-year, $6.1 million dollar deals

In the span of about a half hour, the Detroit Tigers had a whole new right side of their infield by signing both Jonathan Schoop and C.J. Cron to identical $6.1 million dollar deals. Schoop rebounded from a rough 2018, jumping from 79 to 100 wRC+. His ISO reached a career high of .217, but his strikeout rate was back up to 25%, matching his previous career high.

Despite solid production, Schoop started losing playing time to rookie upstart Luis Arraez in the final two months of the season. Schoop won’t have the same issue in Detroit. He should be free and clear for full-time run at second base and get back to 600+ PA for the first time since 2017. The projections feel dead on, putting him at .262/.306/.476 with 27 HR, 81 RBI, and 70 R in 571 PA.

Schoop’s 398 ADP might rise a bit now that he’s landed, but it won’t surge given the team he’s on. If you need some late pop at your MI slot, Schoop is your guy.

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My first reaction to Maikel Franco agreeing to sign a one-year, $2.95 million deal with the Royals was one of slight disappointment. After four years of being roughly league-average or worse, I did not have high expectations for Franco going into 2020, but in leaving one of the majors’ best home run parks for right-handed hitters for one of the worst, my expectations got even lower.

Then in looking over Franco’s stats as a Phillie, something occurred to me. He has an incredibly similar profile to another third baseman who has been a much better home run hitter than Franco has been in recent years. While Franco has averaged 22.5 at-bats for every home run going back to 2016, this other third baseman has needed only 16.3 at-bats per homer over the same period. Here is how these two third basemen have stacked up for each of the last four seasons.

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Last year, I took a stab at developing what might be loosely defined as park factors using Statcast data. (I called them park “impacts” because they lacked the requisite rigor to be true factors, although it’s all semantics, truly.) I sought to use Statcast’s expected wOBA (xwOBA) metric, specifically on batted ball events (BBEs), such that we would have a measure of xwOBA on contact (or xwOBAcon). This metric accounts for exit velocity (EV), launch angle (LA), and little else — which makes it perfect for this purpose.

The difference between actual and expected wOBA on contact indicates the amount of luck, whether good or bad, a hitter might have incurred on a particular batted ball event. In other words, given ‘X’ exit velocity and ‘Y’ launch angle, what is the most common wOBA outcome, and how much did the actual wOBA outcome differ from it?

The beautiful part about xwOBAcon is it strips away all other context. It removes elements that confound other park factor calculations, such as hitter and pitcher quality or even sequencing (vis-à-vis run-scoring). Except for fielding. Can’t control for fielding, unfortunately.

With this approach, we have the exit velocity. We have the launch angle. We have historical results for that particular combination of EV and LA to use as a benchmark. And then we compare.

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The hot stove season is a time of discovery. In responding to the news of trades and signings, and in doing research to prepare our annual preseason rankings, we learn things that we missed during the regular season.

After the Rays traded Tommy Pham to the Padres earlier this month, I wrote about how Pham mysteriously started hitting grounders with less authority one-third of the way into the season. (Also, thank you to commenters randplaty and zwibi, who pointed out that Pham was playing through hand and elbow injuries over several weeks late in the season.) Of 130 hitters who saw at least 1,500 pitches and hit at least 100 ground balls in both 2018 and 2019, Pham experienced the sixth-largest year-to-year decline in average exit velocity on grounders (EV GB), and that was even with his decline not beginning until two months into the season.
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Over the years, I’ve been working on how to fine-tune my player evaluation process. The following are six datasets that I’ve found useful I’ll not go into detail on any of them since I provide a link to the original article. The following is basically a referenceable data dump.

Note: I know there is a lot of content and when questions arise, make sure the area in question is obvious in the comment. Also, I’ll only answer questions here and not in the original articles.

Voit/Muncy All-Stars (link)

These are older AAA hitters who have shown signs of a breakout.

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On Monday, Avisaíl García signed a two-year deal with the Brewers, very clearly pushing Ryan Braun to everyday first base duties. Garcia hasn’t often been an exciting fantasy asset, but he is coming off a career best 20 homers and 10 steals, with a helpful batting average. Now he moves to the National League for the first time. Let’s see how the park switch might affect his performance.

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Some team was going to end up with Anthony Rendon and after missing out on the Gerrit Cole sweepstakes, the Angels ponied up and signed Rendon. It’s a simple signing and here how the various players see their fantasy values change.

Anthony Rendon (down)

From 2016 to 2018, Rendon was about the same hitter with between 20 and 24 home runs, .270 to .308 AVG, and never breaking a 190 Runs+RBI. He just destroyed those numbers last season with 34 homers, a .319 AVG, and 243 Runs+RBIs. With nothing changing in his hitting profile (plate discipline and batted ball stats), the career season can be based on a little luck but mainly the happy fun ball which is back for another season.

The change in scenery factors seem to point to his value going down a bit. The park factors between Washington DC and Orange County are about the same. The division opponents are a mix of competitive and non-competitive teams. The biggest difference will be the lineup quality. Even with a DH, the Angels averaged 4.75 runs per game last season and the Nationals were at 5.4 runs per game. Even though the best player in baseball will be in the Angels lineup, it’s a huge downgrade for Rendon. While the juiced ball will keep his home runs up, the Runs+RBI total should be around 200 to 210 instead of 240.

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It took many, many years, but Jurickson Profar finally enjoyed a breakout year in his first full season in 2018. While he regressed this past season, that was entirely due to a plummeting BABIP, which we would expect to rebound somewhat, just because no Major League hitter really has a true talent BABIP that low. But there’s now another wrinkle in his quest to return his BABIP to a normal level. Back on December 2, he was traded to the Padres, which would result in him playing for his third team in three years. Will the park switch affect his chances of a BABIP rebound, or perhaps boost those chances? How about the rest of his performance? Let’s check the 2018 park factors.

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