Almost exactly seven years ago, I shared a study on the predictive value of pitcher strikeout and walk rates posted during spring training. Though most know that most spring training stats mean nothing (somehow, there are still those who think spring stats like ERA actually have predictive value), spring strikeout and walk rates do improve projections when incorporated. That said, we still have the same size issue to deal with, various levels of competition, and pitchers working on things that makes them not the actual pitcher we know them as. With those caveats out of the way, it’s at least worth being aware of pitchers striking out significantly more than projected to.

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Yesterday, I identified and discussed 13 starting pitchers the 2019 Pod Projections forecasted a significantly lower ERA than Steamer. Today, I’ll take on the other group — those the Pod Projections are more bearish on than Steamer in ERA. I’ll only discuss those pitchers you truly care about.

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Let’s continue our comparison of the 2019 Pod Projections (last year’s most accurate non-aggregate forecasting system!) and the Steamer projections. Today, we move on to pitchers, where I’ll compare our ERA projections. First, it’s worth noting that Steamer is far more pessimistic on ERA than Pod is, so there are more upside guys than downside. It’s not a big deal for fantasy baseball though, as value is driven by projected stats versus replacement. So whether the league ERA is projected at 11.00 and Chris Sale is at 9.50 or the league is at 4.50 and Sale is at 3.00, it doesn’t make a difference from a valuation perspective.

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On Saturday, I participated in my sixth Tout Wars AL-Only auction and seventh Tout Wars league. I was coming off a disappointing sixth place performance last year, after winning and setting four records (including most total points and margin of victory) in 2017.

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Yesterday, I compared my 2019 Pod Projections to Steamer in the stolen base category, identifying five hitters I was forecasting upside for versus the computer system. Today, I’ll discuss five of the downside guys.

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We continue the 2019 Pod vs Steamer series, moving onto stolen bases. I will use the same process as I did with home runs and identify the guys the Pod Projections (the best non-aggregate projections in 2018!) are forecasting upside for versus the Steamer projections.

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Welcome to the RotoGraphs Matchmaker Service! No, I cannot find you a date. However, we could hopefully facilitate the marriage of league owner with leagueless owner. If you are seeking an owner to fill your fantasy league or are the owner hoping to be seeked to join that unfilled league, this is your new home. In the comments, please advertise your league openings or your availability and desire to join a league. To make things easier, it would be helpful to include the details of the league you’re seeking to fill or prefer to join in the following format:

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Yesterday, I began comparing my 2019 Pod Projections to Steamer projections. I kicked off this year’s series by comparing our home run per 600 at-bat forecasts, starting with the hitters my projections deemed as having significant upside. Today, I’ll check in on the hitters on the opposite end — those that Steamer is dramatically more bullish in the home run department.

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Welcome to the 2019 Pod vs Steamer series, in which I pit my Pod Projections against Steamer projections in a variety of categories. First, I’ll start with home runs and today will be the upside guys.

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Last week, I used my xBABIP equation to identify and discuss eight hitters potentially due for a BABIP surge and six at risk of dramatic decline. Today I’ll check in on hitters that at first glance, wouldn’t appear to be far off from their xBABIP marks, while the surgers and decliners list were quite a bit more obvious. If you posted a .230 BABIP in 2017, you’re probably going to find yourself on a potential surger list, while a .380 BABIP is likely going to get you onto the decliner list.

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