Author Archive

Mining the News (11/30/21)

General

Charlie Morton talks about how rehabbing players won’t have access to team training facilities if a lockout happens.

Yeah, I don’t think many people have given much thought to how a lockout could affect things like injury rehab. Folks think mostly in terms of starting spring training and the season on time. But yeah, for guys rehabbing, it could be a pretty significant thing for them.

Yeah, because their life as a professional doesn’t stop. I mean, you go from working out at the team facility — I mean, Acuña and Soroka, those guys are working out at the stadium and rehabbing with our PTs — and then you’re on your own. Which I’m sure is probably pretty unsettling, especially if you have, like, franchise-caliber players involved.

It’s tough to know if this situation should move back any player return timelines, but it’s something to consider going forward. Read the rest of this entry »


Deep League Starting Pitchers (Bauer, Plesac, Kikuchi, Gonsolin, & Greinke)

I’m just going to keep grinding my way through the starting pitchers hoping to find a couple of gems.

For reference, here are the pitchers I’ve already profiled:

Starting and Relievers, Part 1 & 2($$):

Deep League Starting Pitchers

Trevor Bauer (308)

Even before the recent criminal charges, Bauer was a divisive player with the recent incident leaving him with no support. He’s such a hot topic, I about skipped him over. Read the rest of this entry »


Deep League Starting Pitchers (Kaprielian, Taillon, Carrasco, and Ober)

With the projection analysis out of the way, it’s time to start finding some starting pitcher gems for those arms being drafted at pick 300 or later according to NFBC’s ADP.

For reference, here are the pitchers I’ve already profiled:

James Kaprielian (300 ADP):

Kaprielian didn’t start the season in the majors but was recalled in mid-May to join the A’s rotation. He was likely kept from throwing too many innings since he’s returning from Tommy John surgery, but he showed signs of life.

To start out, his velocity dropped 2 mph from 2020 but that 2020 value was from just 3.2 IP of bullpen work. In 2021, he was sitting 93 mph with a steady climb from averaging 92 mph up to 94 mph. This value is in line with his 2016 Baseball America report of “… sits in the low 90’s and topped out at 96.” Read the rest of this entry »


Projection Accuracy: Late March Pitcher Rate Stats

I’m finally done crunching numbers (part 1, 2, 3, 4, 5, 6, 7, and 8) with late-season pitcher rate stats being the last to go. It’s so monotonous and painstaking, but I’ve learned a few things going through it all.  The Average rises to the top … again with several other projections popping to the top.

First, here are the projections analyzed.

  • Steamer (FanGraphs)
  • ZIPS
  • DepthCharts (FanGraphs)
  • THE BAT
  • Davenport
  • ATC (FanGraphs)
  • ZIELE (Fantasy Pros)*
  • Pod (Mike Podhorzer)
  • Masterball (Todd Zola)
  • PECOTA (Baseball Prospectus)
  • RotoWire
  • Razzball (Steamer)
  • Paywall #1
  • Average of the above projections

To create a list of players to compare for accuracy, I took the NFBC ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »


Projection Accuracy: Late March Pitcher Counting Stats

I’m on the home stretch with most of the comparisons (part 1, 2, 3, 4, 5, 6, and 7) already done. Today, the counting stats for the late-season pitcher projections taking center stage. The boys over at Razzball dominated most of the results with the aggregators coming in near the top … again (might be a theme).

First, here are the projections analyzed.

  • Steamer (FanGraphs)
  • ZIPS
  • DepthCharts (FanGraphs)
  • THE BAT
  • Davenport
  • ATC (FanGraphs)
  • ZIELE (Fantasy Pros)*
  • Pod (Mike Podhorzer)
  • Masterball (Todd Zola)
  • PECOTA (Baseball Prospectus)
  • RotoWire
  • Razzball (Steamer)
  • Paywall #1
  • Average of the above projections

To create a list of players to compare for accuracy, I took the NFBC ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »


Mining the News (11/12/21)

Free Agents

Justin Verlander touched 95-96 mph in his latest tryout.

Read the rest of this entry »


Projection Accuracy: Early March Pitcher Rate Stats

I completed the counting stat analysis on early March pitcher counting stats after finishing the hitter projection comparisons (part 1, 2, 3, 4, and 5).  it is time for the pitchers to take center stage. For the first article, I’ll measure the accuracy of counting stats from early March. The results were mixed this time with the aggregators having a decent showing.

First, here are the projections analyzed.

  • Steamer (FanGraphs)
  • ZIPS
  • DepthCharts (FanGraphs)
  • THE BAT
  • Davenport
  • ATC (FanGraphs)
  • Pod (Mike Podhorzer)
  • Masterball (Todd Zola)
  • PECOTA (Baseball Prospectus)
  • RotoWire
  • Razzball (Steamer)
  • Paywall #1
  • Average of the above projections

To create a list of players to compare for accuracy, I took the TGFBI ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »


Projection Accuracy: Early March Pitcher Counting Stats

Now that the analysis hitter projection comparisons (part 1, 2, 3, 4, and 5) are done, it is time for the pitchers to take center stage. For the first article, I’ll measure the accuracy of counting stats from early March. Razzball had a near clean sweep as it only missed on Saves.

First, here are the projections analyzed.

• Steamer (FanGraphs)
• ZIPS
• DepthCharts (FanGraphs)
• The Bat
• Davenport
• ATC (FanGraphs)
• Pod (Mike Podhorzer)
• Masterball (Todd Zola)
• PECOTA (Baseball Prospectus)
• RotoWire
• Razzball (Steamer)
• Paywall #1
• Average of the above projections

To create a list of players to compare for accuracy, I took the TGFBI ADP (players in demand at that time) and selected all the pitchers in the top-450 drafted players (30-man roster, 15 teams in the Main Event) in ten or more leagues. Then I removed all the pitchers who never threw an inning. Read the rest of this entry »


Mining the News (11/5/21)

American League

Mariners

• Even if healthy, Evan White might start the season the minors.

1B Evan White (signed through 2025, club options for ’26, ’27, ‘28)

White’s recovery from left hip surgery in July will be one of the biggest storylines entering Spring Training, especially given that Dipoto wasn’t sure if the 25-year-old would be 100 percent healthy by then. Given his $24 million contract, Seattle is invested in his future. But his spot at first isn’t necessarily written in ink like it was after he first signed that deal — and the Mariners won’t have any hesitation playing him at Triple-A Tacoma if his bat needs more work.

Read the rest of this entry »


Projection Accuracy: Late March Hitter Rate Stats

I’ve been slowly working my way through the hitter projections and that journey comes to an end today as I examine how each projected hitter rate stats stand up. Besides batting average, I turn each of the counting stats into a rate by dividing by plate appearances. Finally, I adjust each value to the actual league rates. Again, any combination of projections stick out along with the BAT.

For reference, here are the projections used.

  • Steamer (FanGraphs)
  • ZIPS
  • DepthCharts (FanGraphs)
  • The Bat
  • The Bat X
  • Davenport
  • ATC (FanGraphs)
  • Pod (Mike Podhorzer)
  • Masterball (Todd Zola)
  • PECOTA (Baseball Prospectus)
  • RotoWire
  • Razzball (Steamer)
  • ZEILE (Fantasy Pros)*
  • Paywall #1
  • Average of the above projections

To create a list of players to compare for accuracy, I took the NFBC Main Event ADP (players in demand at that time) and selected the hitters in the top-450 drafted players (30-man roster, 15 teams in the Main Event). To determine accuracy, I calculated the Root Mean Square Error (RMSE) for two different sets of values. RMSE is a “measure of how far from the regression line data points are” and the smaller a value the better. Additionally, I included the actual and league average rates for reference. Read the rest of this entry »