Archive for market inefficiency

Blind Résumés: Musings on Perceived Value

When Dylan Higgins invited me on to the Field of Streams podcast last week, he asked me what I typically like to write about. My answer was an incoherent, stammering mess, but the gist of it was I like to write about all sorts of things. The trajectory of my writing has changed a lot over time.

I think I originally wanted to write primarily about market inefficiencies in fantasy baseball. The constant instantaneous misvaluation of players fascinates me, and effectively exploiting these inefficiencies make champions. Occasionally, I return to this topic.

That occasion is today, and today, I’m in the mood for blind résumés. I cherry-picked some stats for three players, whose names I stripped away, and I want you to decide, before reading any farther, in which order you would take these players.

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Seven Consistent xFIP Improvers

It took a dominant 11-strikeout, zero-walk performance from Taijuan Walker for the fantasy world to finally take notice of him. I don’t have ownership trend data to exemplify this, but I do have an anecdote: he was available in every league I’m in before the start, and he was owned in every league I’m in shortly after it.

The truth is Walker had demonstrated progress, described here by Eno Sarris, in his prior four starts, notching 27 strikeouts to three walks in 29 innings. Someone who hadn’t been paying attention to Walker probably wouldn’t have noticed: his ERA prior to the recent five-game surge stood at 7.33, and he had completed the sixth inning only twice in nine games. Once a hyped prospect, he looked like a 22-year-old who still needed seasoning to reach his potential.

No longer, as you will probably have to give up an asset of value to acquire Walker from a fellow owner now. The price may not be too steep given his poor ratios (4.94 ERA, 1.39 WHIP), but this is likely the highest they’ll be for the rest of the season.

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Blind Résumés: Cheap Stolen Bases

Let’s cut straight to the chase. Take a look at the statistical snapshots below:

Name PA HR R RBI SB CS K% BB% AVG OBP SLG ISO BABIP
Player 1 97 0 9 4 6 2 11.3 % 11.3 % .306 .392 .376 .071 .351
Player 2 91 1 10 7 6 2 15.4 % 5.5 % .235 .278 .318 .082 .271

Obviously, Player 1 is benefiting from a higher batting average on balls in play while Player 2 is getting burned a bit by his. Still, take away their triple-slash lines (but leave the isolated power) and you have two players with almost identical numbers, down to the six steals on eight attempts and the meager isolated powers (ISOs). Where they differ a bit is in plate discipline: Player 1 has a much healthier walk rate than Player 2 and a couple fewer strikeouts. So while Player 1 is benefiting from the a higher BABIP, he can also reasonably be expected to post a marginally higher batting average and noticeably higher on-base percentage. Most importantly, the two hitters are eligible at the same position and are, thus, substitutable.

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