In my previous post, I looked at the hitting landscape for The Great Fantasy Baseball Invitational (TGFBI) drafts. I also analyzed my own personal team from league #14, which was dubbed as the “league of death.”

Onto the pitching …

General Observations

Starting Pitchers

Let’s first compare starting pitcher ADPs from the past two seasons of TGFBI.

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Let’s dive into another Pod Projection! As a reminder, the 2020 forecasts are available now and include over 500 player lines. The projections follow the same process that resulted in the most accurate non-aggregate system of 2019 as calculated by FantasyPros.

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Let’s dive into another Pod Projection! As a reminder, the 2020 forecasts are available now and include over 500 player lines. The projections follow the same process that resulted in the most accurate non-aggregate system of 2019 as calculated by FantasyPros.

Read the rest of this entry »

Last Thursday, I identified and discussed six starting pitchers that my Pod Projections forecasted a significantly better ERA than Steamer. Now let’s turn to the starting pitchers my projections are forecasting a significantly worse ERA than Steamer. It is important to note that I’m clearly projecting a better run environment than Steamer, so there are far fewer pitchers I’m projecting a worse ERA for.

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Yesterday, I compared my Pod Projections to Steamer in the stolen base category and identified and discussed five hitters with upside. Today, I’ll flip to the hitters I have forecasted for a lower rate of stolen bases than Steamer. I’ll stick to only including players projected for a reasonable number of plate appearances.

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Last week, I compared my Pod Projections to Steamer and calculated which hitters I was more bullish on and more bearish on for home runs. Today, I’ll do the same for stolen bases. Similarly to homers, I’m going to calculate a PA/SB rate first and then extrapolate that projection over 650 plate appearances so we’re only comparing stolen base projections and playing time forecasts don’t factor in.

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Our undervalued player series continues now with the final offensive scoring category for 2020 – Runs Scored.

For those of you that are new to this series – in each article, we uncover potential undervalued players by comparing the Steamer projections to the current NFBC ADP. So far I have gone through undervalued speedsters, power bats, outstanding batting average players as well as possible RBI Bargains.

In 2019, there were 60 players who scored at least 85 runs. There were 41 players who exceeded the 95 runs threshold, and 20 hitters scored at least 105. Four players managed to eclipse the lofty 120 runs plateau. Leading the majors were a pair of Red Sox – Mookie Betts (135) and Rafael Devers (129). Ronald Acuna Jr. of the Braves followed them with 127 runs.

Once again, just as in runs batted in, prospective projections are far more conservative than the final season long distribution. Steamer only projects one player – Mike Trout – to score more than 120 runs. Only four additional players are projected to score over 110 runs (Francisco Lindor, Mookie Betts, Christian Yelich and George Springer).

Teams that win fantasy leagues are often highly correlated with the runs scored category. Finding a few undervalued players that can help pad your fantasy team’s run totals is a worthwhile exercise. For this year’s analysis, I will focus on all players with a Steamer projection of at least 85 runs. This should give us several helpful players.

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Every year, I pit my Pod Projections against the Steamer projections in various categories. Today I’m going to continue the annual smackdowns by calculating AB/HR rates and then extrapolating them over 600 at-bats. At that point, I’ll compare how many home runs each system is forecasting, given a 600 at-bat projection. I’ll start by sharing the names of hitters Pod is projecting for significantly more home runs than Steamer. Many of these players figure to be part-timers, so consider them sleepers in deeper leagues.

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The Pod Projection process sharing continues! The 2020 forecasts are now available and include over 500 player lines. As usual, I’ll dive into my projection methodology (detailed in Projecting X 2.0) by sharing my process on several hitters and pitchers.

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Finally, it’s Pod Projections time! The 2020 forecasts are now available and include over 500 player lines. As usual, I’ll dive into my projection methodology (detailed in Projecting X 2.0) by sharing my process on several hitters and pitchers.

Read the rest of this entry »