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Rays Prospect Chandler Simpson; Using Baseball Analytics For Good Causes with Jenn Rubenstein

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Conteúdo fornecido por Sports Info Solutions. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sports Info Solutions ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

On this episode of The Sports Info Solutions Baseball Podcast, Mark Simon (@markasimonsays) is joined by Rays outfield prospect Chandler Simpson, a baseball fan who cleverly used analytics for good, Jenn Rubenstein (@queerfancystats), and SIS baseball operations analyst Stephen Marciello (LinkedIn) .

Chandler introduced himself by telling us about some videos online showing him as a kid dancing like Michael Jackson … and how those skills related to baseball. He walked us through the idea of ball, wall, ball and walked us through the best play he’s made in the minors. Note: After the interview, Chandler was the star of the minor league game at Rickwood Field on Tuesday (though he also left the game with a calf injury).

He also told us all the different checkpoints he considers when thinking (or not thinking) about stealing a base. And he explained why he’s studying the hitting of Luis Arraez so closely.

Jenn told us about how they used analytics as a way to calculate donations to LGBTQ-related causes, how the idea originated, MLB’s relationship with LGBTQ fans, and what a misidentified pair of socks can teach us about changing your thoughts when data presents itself to show that you’re wrong.

Stephen explained his role at SIS and talked about some of the game’s breakout players in 2024.

Thank you for listening. Please check out Archive.FieldingBible.com for your defensive stats needs, follow us on Twitter at @sis_baseball, and read our work at SportsInfoSolutions.com. You can e-mail us at Mark@sportsinfosolutions.com.

  continue reading

135 episódios

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iconCompartilhar
 
Manage episode 424571530 series 2933139
Conteúdo fornecido por Sports Info Solutions. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sports Info Solutions ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

On this episode of The Sports Info Solutions Baseball Podcast, Mark Simon (@markasimonsays) is joined by Rays outfield prospect Chandler Simpson, a baseball fan who cleverly used analytics for good, Jenn Rubenstein (@queerfancystats), and SIS baseball operations analyst Stephen Marciello (LinkedIn) .

Chandler introduced himself by telling us about some videos online showing him as a kid dancing like Michael Jackson … and how those skills related to baseball. He walked us through the idea of ball, wall, ball and walked us through the best play he’s made in the minors. Note: After the interview, Chandler was the star of the minor league game at Rickwood Field on Tuesday (though he also left the game with a calf injury).

He also told us all the different checkpoints he considers when thinking (or not thinking) about stealing a base. And he explained why he’s studying the hitting of Luis Arraez so closely.

Jenn told us about how they used analytics as a way to calculate donations to LGBTQ-related causes, how the idea originated, MLB’s relationship with LGBTQ fans, and what a misidentified pair of socks can teach us about changing your thoughts when data presents itself to show that you’re wrong.

Stephen explained his role at SIS and talked about some of the game’s breakout players in 2024.

Thank you for listening. Please check out Archive.FieldingBible.com for your defensive stats needs, follow us on Twitter at @sis_baseball, and read our work at SportsInfoSolutions.com. You can e-mail us at Mark@sportsinfosolutions.com.

  continue reading

135 episódios

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