Author name: HarperWallbanger

Offline Mode

One great question I’ve been getting about the Google Sheets version of the Big Board – how to use it offline? Luckily, yes it is possible, and easy to do, though with a couple small drawbacks, so let me go through what to do if you want to use your Big Board offline…

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Can 1 Month of Statcast Data Be Used to Evaluate Hitters?

You’ve all done this. Or at least, if you know about Statcast, ‘xStats’, and Baseball Savant, you have – pull up the xStats list, sort by under- or over-performers, and use it to draw broad and sweeping conclusions about your fantasy teams. Which of your fantasy players are poised for quick resurgence, or which of your opponents’ players are prime trade targets? Which guys should you be selling high on, before the bottom drops out? But, in the same way that you can’t really sort the FanGraphs leaderboards by ERA minus FIP and just magically find pitching diamonds in the rough (homer rates complicate things…), this is maybe not the best way to be applying our vast wealth of fancy Statcast-based metrics. I’ve found early-season Statcast data difficult to trust personally, so I decided to dive in and see what exactly we can learn from 1 month of xStats. It turns out there may be something useful here – the method I arrived at after this work would have advised you to buy-in on Jose Ramirez after his rough start to 2019! But we’ll get to that.

Can 1 Month of Statcast Data Be Used to Evaluate Hitters? Read Post »

In-Season Updates!

‘Rest of Season’ projections are now available in the 2020 Big Board. Pull up your version of the board and update the projections to pull them in. These will continue to update daily throughout the rest of the season. Hope it helps you to manage this terrible short sample size nightmare season. Happy FAAB-ing/trading!

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Evaluating the 2017-2019 Projection Systems

For many years running now, I’ve run a yearly evaluation of the projection systems for fantasy baseball purposes, including last week’s evaluation of the 2019 results. Two potential issues I’ve run across with these studies are 1) year-to-year variance and 2) small sample size. To attempt to address both, I’m back again, this time with an evaluation of performance across the last three seasons (‘17-’19)! This study combines the datasets from each of my last three yearly studies, studying how well each system projected the top ~300 fantasy players (the ones that met the playing time minimum) in the 5×5 categories by both R squared and RMSE.

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Evaluating the 2019 Projection Systems

As we all hunker down with our spreadsheets in preparation for draft season, it’s time for my favorite yearly tradition – evaluating the projection systems! The goals, as always, are to evaluate the best projection systems on a per-category basis for the purposes of fantasy baseball, and to determine the best possible mix of projections (separated into rate stats and playing time) as we look ahead to ‘20. Additionally, this year I’ve pulled up a list of players that each system was ‘in’ on – both the ones that were big wins, and the ones that completely tanked in ‘19. In this study, I’ll focus on the most commonly used projections – the same ones that appear in the Big Board: Steamer, PECOTA, ZiPS, ATC, The Bat, FanGraphs Depth Charts, and FanGraphs Fans. I’ll also include my recommended Big Board mix from 2019, which was a weighted average of the best systems. And finally, I’ll also define a new recommended Big Board mix looking ahead to 2020!

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How to Customize your Projections

Fantasy baseballers, I come to you today with an admission: I’m a total hypocrite. I am the first person that will tell you that the computer-based projection systems like Steamer, PECOTA, ZiPS, etc will beat a human-curated projection every time. And yet, year after year, I find myself *tinkering*. Changing an ERA/WHIP projection here, increasing a batting average or HR-total there. There are certainly areas where the computer systems fall short, since they don’t know about injuries, can be slow to adjust to real-world depth chart changes, and tend to be skeptical of breakouts. That’s why I’ve created tools that allow me to go about this customization/adjustment process in a much more systematic way. With a series of fairly straightforward inputs, these tools convert peripheral numbers into projected statlines, using models originally detailed here which are scaled to the total #’s projected by the Steamer projection system. Thanks to these handy tools, I’ve been able to integrate all of my preseason research this year, including injuries, xStats, and depth chart info, into a set of over 200 custom projections (included in this year’s Big Board). But, I’m all about empowering you all to do these things yourself, so what follows here is a comprehensive tutorial in how to build your own custom projections.

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How to Value your Picks and Make Preseason Trades

Does everyone love the snake draft? No. Is the snake draft necessary because it’s hard to convince people to spend 8 hours on an auction draft? Yes. For those of us in keeper leagues, this time of year brings the additional joyous task of trying to strategize for the upcoming draft. Do you trade away players for picks and rebuild in the draft? Trade away picks for players to strengthen your core team? Try to steal away the most undervalued players in the league before their owners realize what they have? Cut any number of ways, if you start throwing draft picks on the table at some point you’ll arrive at the question… what is a draft pick worth, anyway? Today, we’re taking a look at the Big Board Trade Tool, which can be found for free on this site as the regular 5×5 version, and can also be found within every copy of the Big Board as a fully customized-to-your-league version.

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How the Hit/Pitch Split Works

Alright, so if you’re new to this, it might come as a surprise – pitchers… they’re bad. Well, they’re not bad, but they always get hurt AND there are always good ones available on the wire! So how about an arbitrary/empirical correction factor to account for that?! This is the one part of player valuation that really surprised me when I was first getting into this stuff… “The Hit/Pitch Split”!

If you’ve already downloaded the Big Board, and you’ve opened up the ‘Settings’ tab for the first time, you’ve come across this seemingly innocuous box entitled Hitter% or H/P Split. Believe it or not, this box is front and center for a reason! Every preseason countless pages on these ol’ interwebs are dedicated to player rankings, but very few have arisen to describe why, exactly, we commit to drafting the best hitters in MLB ahead of the best pitchers. As noted in the how-to of the Big Board, you can typically pick a number around 67% and do well enough. That will allow you to create rankings that are in line with what the rest of the fantasy industry has deemed the ‘right’ h/p split. But if you want to tailor your draft strategy in an optimal way or want to value players with the ultimate accuracy on draft day, read on and wrap your head around the concept that is the hit/pitch split.

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How Player Rankings and Dollar Values are Made

Player rankings can seem mysterious at times. Auction values, even more so. How do your favorite fantasy baseball sites come up with these things? From ESPN to Yahoo to CBS, it’s tempting to think they’re totally arbitrary, just players and numbers thrown on a board at the author’s whim (some of them certainly are… I won’t name names, but yikes). As it turns out, there are actually several player valuation systems that are commonly used to come up with player rank – these calculations, combined with your projection system of choice, allow you to directly calculate player values and rankings!

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