Archive for Domingo Santana

With the first spring training workouts now just days away, it appears that Domingo Santana finally has a camp to report to. According to Paul Hoynes of cleveland.com, the Indians have reportedly come to an agreement with the free agent outfielder on a one-year deal. Should the parties finalize the deal, Cleveland should prove to be a good landing spot for Santana, as he would seem to have a good chance of winning an everyday role in one of the outfield corners.

So far, Santana has not caused much of a stir in early drafts. In NFBC leagues, he has a 350 ADP that puts him in 89th place among outfielders. That makes him marginal at best in 15-team mixed leagues, while Austin Riley, Austin Hays and Niko Goodrum have all managed to nestle themselves among the top 75 outfielders. Granted, Riley and Hays have upside potential, but while Santana is no longer in the pre-peak phase of his career (he turned 27 last August), he also has a high ceiling.
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The second-best part about Tommy Pham is I can basically recycle this post I wrote about Domingo Santana three and a half weeks ago. Like, I could replace Santana’s name with Pham’s throughout it and you wouldn’t blink. Pham, through his first 628 plate appearances, has hit a home run on more than 28% of his fly balls (28% HR/FB); if sustained for another 72 PA, it would be the third-best mark through a player’s first 700 PA in the last 15 years (among more than 600 qualified hitters).

The best part about Tommy Pham, though, is something Santana doesn’t have, and it’s something more than skin deep. Depending on whom you ask, Pham has swung at pitches outside the zone only 19.8% (BIS), 22.2% (Pitch Info) or 22.9% (PITCHf/x) of the time. Those rank, in order, 6th, 11th and 18th among 205 hitters with at least 250 PA — in other words, the 95th percentile (for the former two) or at least the 90th (for the lattermost). In short, he forces pitchers to pitch to him. Few in the game have been more selective, and few in the game have shown this much power this early in a career. (“Early,” by number of games, obviously, because Pham, at 29, is hella old for a guy who barely has a full season’s worth of PA.) The coincidence of his selectivity and his power is nice, to say the least.

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A wise man once told me, “Thirty is the new 20.” He spoke not of my dating prospects but of percentages — specifically, strikeout percentages. The gist of his sentiment was back in the olden days, a player’s fantasy value would have been harmed, perhaps irreparably, if he struck out 20-something percent of the time. Now, we see hitters subsist and more with 30-something strikeout rates — Joey Gallo, Keon Broxton, Miguel Sano, Khris Davis and Aaron Judge, to name a few.

We — or, if I dare not speak for you, you intellectual, you, then just I — have been forced to reassess how we (I) “scout” the intersection of contact and power for fantasy purposes. This monologue is peripherally relevant to the eventual subject of this post, Domingo Santana, because he, too, once ran a 30-something strikeout rate. He no longer does that, though, which is good. That’s part of the reason why I’m here. But it’s more of the icing on this cake, so allow me to bake the cake first.

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In early March, I wrote about my first co-ownership experience with fellow Rotographs contributor Trey Baughn. To refresh, we have been paired up in a newly formed Ottoneu league which has added on a 5milb draft system and coupon incentive structure to reward higher finishes. Ottoneu leagues can be difficult as is – the structures in place have made this league feel more difficult than others.

Last month I touched on a couple key observations from our first few weeks of co-owning.

• Ottoneu auctions are easier with two people.
• Finding a co-owner with a compatible skill set is essential for the process to run smoothly.
• Communication is key.
• Roster moves are more difficult when you have to manage two sets of opinions.

I still agree with each of these points, but it was the beginning of March.  The season hadn’t started. Many trades had not been made, and most of the roster moves we had made had very minimal impact. Much has changed…

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I find early season performances fascinating (or perhaps it’s our responses to these performances that’s fascinating.) With every owner competitive and paying attention in April – maybe for the only time all year – league wide perception of talent levels can be unrealistically altered. For example, Trevor Story hits 7 home runs in his first 8 games, then precedes to hit .200 over his next 60 plate appearances. That’s about as stark a difference as you can find in a player’s performances this early in the season. Given this, how do your league-mates value him? My wager is that they value him more as the 7 HR guy that the .200 hitter, but that’s just a guess. Would the view of Story be different if those 7 HR in 8 games occurred in July?

This is all hypothetical conjecture on my part, but it does help to show the crazy swings in performance that occur over small samples. If a player (especially a prospect) has a hot start, their trade value can be boosted by that helium all year. However, some hot starts still fall through the cracks, and many players who have performed well can still be bought relatively cheaply. Hopefully this will help you consider buying some of the players who’ve had great starts to 2016. Some of them appear to have made core improvements thus far.

One of the updates I run weekly is to look at the plate discipline and batted ball leaderboards here on Fangraphs. I look for players who are swinging less than last year, while also making more contact. Eno covered some of this in his post last week, but this early in the season it can be difficult to have enough data to make any concrete conclusions about player performances. A disclaimer – at the time I wrote this I didn’t realize how similar it was to Eno’s analysis. His piece goes into more detail and you should definitely read it.

The general premise: I want to find players who are being more patient than last year, but are also making contact at a higher rate. I also track changes in hard hit percentage, but admit that I don’t focus on this nearly as much. I plan to start incorporating exit velocity and launch angle, but have not been able to at this point. This is far from a full proof method or some statistical wizardry, but it’s a quick sniff test. Given that swing% becomes reliable around 50 PAs, and contact rate around 100 PAs, I would put a little more weight on those numbers at this time. I use this to help me bid in the early season Ottoneu FA auctions, or to help target players in trades. The last thing I want to do is waste precious dollars or trade assets on what is likely to be a mirage. (This is probably more important in Ottoneu than other formats where cap penalties can hamstring you if you aren’t careful). Anyways, here’s the list of all players swinging less, making more contact, and hitting the ball with a higher hard hit frequency in 2016. Read the rest of this entry »

It’s easy to be tempted to overreact to the small sample size of strong performances very early in the season. Like many fantasy pundits before me, I’ll continue the tradition of preaching patience with your best players and your preseason evaluations. That doesn’t mean, however, that you should be sitting on your hands. Three things I keep tabs on especially closely in the first few weeks of the season are PITCHf/x data, lineup constructions and playing time distribution. Colleague Scott Spratt tackled fastball leaders in the bullpen and Jeff Sullivan discussed velocity in depth relating to King Felix’s first start. I wont’ tackle PITCHf/x data in this piece — as others have done so already — but I will look at a few playing time situations that might be sorting themselves out as well as a few players whose stock is on the rise as a result of their lineup spot.

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These predictions are specifically based on Ottoneu FGpt scoring. Perhaps “Bold” isn’t defined clearly enough, but my hope is that this is structured in such a way that my thought process can provide some benefit (even if the predictions seem a little extreme at face value.)

1. Domingo Santana will be a top 15 OF.

Nelson Cruz, Yasiel Puig, Carlos Gonzalez, Charlie Blackmon, Starling Marte, Adam Jones…  If you looked at our FGpt OF rankings, these are the 15-20^th ranked outfielders. Which is to say, I think Domingo Santana could be better than all of them (and the rest of those listed below him in our rankings) in 2016. The Brewers do not look like a good team (yet…) so – unless he gets injured – expect a full slate of playing time, a great home park, and lots of power (three things that are gold in linear weights scoring.) The obvious hole in his game is the strikeouts (34% in 2015), but if he can reign that in at all, the upside is tremendous.

2. John Jaso will be a viable 2nd OF

The obvious issue has been playing time (70, 99, 70 games played over the past 3 seasons), but given that he slated to play 1B, I feel fairly confident he will play more games than he has in any of the past 3 seasons.  If he does, he could easily produce value which is expected of many #2 OF in FGpts. The Pirates’ outfield is set, so don’t expect him to retain eligibility for 2017, but he should be incredibly useful for this season. Alex Gordon, Starling Marte, Adam Jones, Christian Yelich, Charlie Blackmon, and Yoenis Cespedes are all projected to be within 5 points of wOBA of Jaso. Those players will cost $18-$25 apiece. If he can stay on the field, Jaso has a good chance to be in that tier, and you can get him for about a third of that price.

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You have seen some Tout and LABR reviews for the past few weeks here on the site. We all can’t be so lucky to participate in such glorious leagues. On the other hand, we can all take part in NFBC leagues.

NFBC’s $150 NFBC Draft Champions leagues are a perfect format for me:

a) I have impending time constraints including my first child in June!

b) I didn’t have to ask my wife for permission to use our mutual bank account.

c) I was able to dwell on each pick if/when needed (8 hours to make a pick) and

d) There are no trades or free agent pick-ups once the draft is complete. This feature is my wife’s favorite, and I appreciate the preventative collusion measures. I am also much more interested in draft strategy and player projections/rankings/draft position than I am jumping on small sample sizes in-season.

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