Archive for Strategy

2018 Research Projects: Known and Unknown

Fantasy baseball slowly evolves and with the start of 2018, I’m going to focus on some topics in which savvy and unconventional owners could utilize against their competition. Some of these topics I’ve been contemplating and researching for a while, others are still just dust in the air. The following contains some ideas I hope to have a better understanding of by the year’s end and frame it so owners and utilize it. I’m not the only source of ideas. I’m 100% positive I’ve missed some simple useful topics and would love to research those in presented in the comments.

StatCast Batted Ball Data

As a baseball community, we’ve been slow to adapt and utilize StatCast batted ball information. Besides major league baseball employees, no one is leading the change. Part of the problem is having an easy to access database for everyone to use. That barrier is being removed as tools like Bill Petti’s baseball-r package can be used to help scrape the needed information from Baseball Savant.

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Ottoneu: First Impressions

2018 is here, and the dawn of a new year is the best time to reevaluate your overall fantasy strategy.  But before digging into the finer points of roster construction, auction value calculations, and post-post-hype sleepers, January is also the perfect time to step back and ask whether it might be time to trade in your entire fantasy experience for one of the more advanced, up-and-coming fantasy platforms around.

This is a shameless plug for Ottoneu, a fantasy sports platform so addicting that it has also launched a community of more than 1,000 hardcore baseball fans that sleep and eat baseball year round.  But don’t take my word for it.  There are many reasons why you should try Ottoneu (including some exciting new features launching in 2018), but today I want you to hear from some of the “rookies” who just finished up their first full year of Ottoneu in 2017. This growing community of raving fans is a big part of the Ottoneu experience, and their Season One feedback may help you make the final decision to drive your own league to Ottoneu in 2018.

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Iterative Trade Tango

Trades often begin fairly simply. One owner wants to swap his asset for a rival’s better asset. Typically, some version of the following response is sent: “Big Player is available, but I want more than Medium Player. I prefer a 1-for-1 swap involving Needed Position.”

The thing is, everybody wants the best player in the deal – in part because analysts like me frequently tell you to go get the best player in the deal. And so the dance begins with both owners circling the other; almost but not quite touching upon an agreeable trade. It looks something like this…

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The Two Flavors of Trade

There are only two types of trades – those of necessity and arbitrage. Let’s talk about them today.

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Counting Stat Estimator For Hitters On The Move

In leagues with Runs and RBIs as categories, predicting how a player’s mix will change with a new team can be guessing. Some clown at Fantrax yesterday wrote the following:

“As for Headley, his value drops by going to a worse offensive team in a pitcher-friendly park. Part of the decline could be offset by a move up in the lineup since he mainly batted seventh for the Yankees last season.”

It could go up, it could go down, who really knows? While writing the statement, I needed a better answer so I created a couple quick and simple tool. If an owner can estimate a few stats, they can predict changes in plate appearances, Runs, RBI when a hitter moves from one team to another.

The key was to be simple and quick. For simplicity, only the following stats are needed.

  • New likely lineup location
  • Estimate of projected home runs
  • Estimated games played such 150 out of 162 games as a percentage.
  • Estimated Runs scored by a team. Used over on-base percentage because team level runs scored is easier to find and remember.

The estimated runs scored is the toughest value to come up with. I’d just go to FanGraphs team projection page to get a decent idea. Just take that year’s RS/G and multiply it by 162. Another method is to take the previous season value and plug it into the following regression equation:

`RS in Y2` = .575 * `RS in Y1` + 311

The goal is just to get a basic idea of possible changes.

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The Ohtani Rule

The Japanese sensation Shohei Ohtani is finally coming to MLB (and more specifically to the Angels), and in doing so will become the trailblazer that sets a new expectation for the future of the (possible) “two-way” player.  Because salaries and injuries continue to escalate in the game, a true double threat major leaguer is still hard to imagine in baseball, but if the 23 year old Ohtani does become the first player since Babe Ruth to make a regular impact on both sides of the ball, he will change the landscape of fantasy baseball, too.

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A Potent Odor: Rougned’s Return

About a week ago, I compared rankings with some actual ADP. One player which stood out was Rougned Odor. He ranked 47th overall (AVG vs OBP league) and it’s tough to rank a person so high who hit only .204 last season. Steamer projections currently have him back up to a .255 AVG. Acceptable but not great.

Additionally, Odor comes to the plate hacking and rarely walks (4.2% for his career) so almost all of his value comes from his BABIP. If his batted balls don’t fall for hits, he’s not getting on base. Since his value is so BABIP driven, I decided to see what the BABIP bounce-back chances were for low-walk hitters.

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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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How To Talk Trade 2.0

I once took an excellent training course on effective communication.  At the beginning of the course, our teacher started with a game:

In my hand is an envelop with a $10 bill inside.  I want one of you in this room to take the deal I’m offering you.  I’m going to ask you a simple trivia question and, if you get it right, you get the ten dollars.  But if you get it wrong, you owe me two dollars.  However, if you don’t know the answer, you can ask one person in the room for help.  Who wants to volunteer?

After a few moments of people looking at each other wondering what the catch might be, I volunteered.  “How many states make up the United States?”, he asked.

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