Author Archive

The 2021 NFBC Unauctioned — Building a Pitching Staff, A Review

Yesterday, I reviewed my $9 NFBC pitching staff. Today, it’s time to review the pitching staff I constructed from only pitchers who failed to be rostered in NFBC auctions during the month of February.

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Building a 2021 $9 NFBC Pitching Staff, A Review

Last week, I reviewed two fun exercises using the NFBC average auction values (AAV) from early March to build various imaginary offensive rosters, including a $14 squad composed solely of $1 players, and a team constructed from hitters that weren’t even rostered. Today, let’s flip to my various pitching staffs, beginning with the $9 group composed of all dollar guys.

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The 2021 NFBC Unauctioned — Building an Offense, A Review

Yesterday, I reviewed the thrilling $14 offense I built with all hitters that averaged just $1 in auction cost in NFBC leagues as of the beginning of March. Today, I review an even tougher challenge — an offense composed solely of hitters who weren’t purchased at all in the seven auctions that occurred in the month of Feb.

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Building a 2021 $14 NFBC Offense, A Review

One of the more enjoyable exercises I performed before this season was building a $14 NFBC offense, using the contests’ average auction values. The idea was to choose from the 59 hitters that averaged $1 in cost and put together an entire legal offense, filling each required slot. Let’s see how this squad performed, with final FanGraphs calculated auction values included.

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2021 Forecast — Potential HR/FB Rate Decliners, A Review

Yesterday, I reviewed the eight hitters on my 2021 potential HR/FB rate surger list. Today, let’s once again rely on my xHR/FB rate equation to review my preseason potential HR/FB rate decliners list.

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2021 Forecast — Potential HR/FB Rate Surgers, A Review

Today, I continue reviewing my 2021 preseason predictions by moving onto my list of potential HR/FB rate surgers. I used my xHR/FB rate to identify and discuss a handful of names that posted actual HR/FB rates well below what my equation calculated as a deserved mark. Since 2020 was a short season, there were a lot more significant gaps between xHR/FB rate and actual HR/FB rate, so there should have been less reliance on both marks given that we had smaller sample sizes to work with.

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2020 Review — HR/FB Rate Negative Validations, A Review

Yesterday, I reviewed my pre-season post comparing my xHR/FB rate to actual HR/FB rate from 2020, revealing which players sustained those 2020 HR/FB rate gains. Today, let’s now flip to the other side — those players in which xHR/FB rate validated a 2020 HR/FB rate decline. Did their 2020 marks represent a new, lower level of sustained production or did it turn out to be a short season fluke? Let’s find out.

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2020 Review — HR/FB Rate Positive Validations, A Review

Confused by the title? For most of the rest of this year, I’m going to review all my preseason, and some in-season, posts where I made predictions or used one of my xMetrics to make statements. I think accountability is extremely important in this industry, as our reputation should hinge upon the quality, and accuracy, of the advice we give. Today, I’m reviewing a post that pitted my xHR/FB rate against actual HR/FB rate. These were the guys who enjoyed HR/FB rate spikes in 2020 that my equation validated, or confirmed was real or mostly real. Let’s find out if these hitters held onto their 2020 HR/FB rate gains in 2021.

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Poll 2021: Which Group of Hitters Performs Better? A Review

For the first time this year, I added an all-star break hitter poll to pair with my pitcher poll. The hitter poll pitted the 10 greatest xwOBA overperformers against the 10 most significant underperformers. I asked you which group would post a higher second half wOBA and which range each group’s wOBA would fall into.

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Poll 2021: Which Group of Pitchers Performs Better? A Review

During the all-star break, I once again polled you on which group of 10 starting pitchers would post a lower ERA during the second half, and which ERA range each group’s aggregate would fall into. Let’s now review the results.

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