Archive for Daily Fantasy Update

The Daily Grind – Norris, Williams, Norris

Agenda

  1. Analysis of a NC Men’s League
  2. Daily DFS – Danks, Norris
  3. Tomorrow’s Targets – Williams, Norris, Alonso, Fuld
  4. Factor Grid

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The Daily Grind: GPPs, Harang, Simon

Agenda

  1. DFS Tournament Strategy
  2. Daily DFS – Harang and Smyly
  3. GB / FB Splits
  4. Tomorrow’s Targets – Simon, Danks, Davis, De Aza
  5. Factor Grid

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The Daily Grind: Cash Games, Sanchez, Lester

Agenda

  1. DFS Cash Game Strategy
  2. Daily DFS – Sanchez
  3. Tomorrow’s Targets – Porcello, Lester, Valencia, Orlando
  4. Factor Grid

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The Daily Grind: Herrera, Kendrick, Bailey

Agenda

  1. Farnsworth on Herrera
  2. Daily DFS – Kendrick
  3. GB / FB Splits
  4. Tomorrow’s Targets – Chavez, Bailey, Ross, Gentry
  5. Factor Grid

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The Daily Grind: Moustakas, Kelly, Mayberry, Marisnick

Agenda

  1. Farnsworth on Moustakas
  2. Daily DFS – Archer
  3. GB / FB Splits
  4. Tomorrow’s Targets – Kelly, Sanchez, Mayberry, Marisnick
  5. Factor Grid

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The Daily Grind: Travis, Padres, Haren

Agenda

  1. Farnsworth on Travis
  2. Daily DFS – Padres
  3. GB / FB Splits
  4. Tomorrow’s Targets – Haren, Walker, Hart, Inciarte
  5. Factor Grid

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The Daily Grind: Travis, Norris, Davis

Agenda

  1. On Behavioral Framing
  2. Daily DFS – Travis, Flores, Owings
  3. GB / FB Splits
  4. Tomorrow’s Targets – Norris, House, Canha, Davis
  5. Factor Grid

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The Daily Grind: Weaver, Salazar, Grandal

Agenda

  1. Thoughts on BvP Data
  2. Daily DFS – Weaver
  3. GB / FB Splits
  4. Tomorrow’s Targets – Salazar, Latos, Grandal, Peralta
  5. Factor Grid

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The Daily Grind: Rogers Centre, Nelson, Peavy

Agenda

  1. Thoughts About Ackley
  2. Daily DFS – Rogers Centre
  3. GB / FB Splits
  4. Tomorrow’s Targets – Nelson, Peavy, Davis, Peralta
  5. Factor Grid

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Stolen Base Streamers: April 16-19

Last week, I identified potential stolen base streamers for daily fantasy leagues and weekly leagues with daily transactions and lineup changes. I used a pitcher’s career caught-stealing and pick-off rates as criteria to determine if a particular matchup was primed for streaming a speedster with the hope of him stealing a base (or two or four).

I like how it turned out, but it felt hastily constructed. A pitcher’s career rate seemed too broad a scope, especially considering the possibility that a pitcher can get better (or, perhaps, worse) at limiting steals and picking off runners over time.

With a little more time and care, I fleshed out everything a bit more and added an additional criterion: catcher effectiveness, which can be most obviously measured by caught-stealing rate. But I think there also is merit to calculating the frequency at which runners attempt to steal on a catcher. In a sense, it measure runners’ perception of a catcher’s skill, especially for those at the tails of the distribution.

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