Cleveland Guardians R&D, interested in baseball analytics, former astrophysicist, based in London, UK

Joined July 2019
I'm pleased to announce that next week I'll be joining the Cleveland Guardians R&D team! Thanks to everyone who has helped me to develop in the world of baseball analytics over the past few years.
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Come and work with me in the Cleveland Guardians R&D team! All backgrounds / experience levels are welcome: grnh.se/bj8qqxr42us
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Cameron Grove retweeted
Final: Great Britain 7, Brewers 3
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We're looking for a data scientist to join us at the Cleveland Guardians R&D department! I've really enjoyed working here with lots of great people for the past 2+ years. If you're interested in baseball analysis and solving tough problems with data then apply at the link below:
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As I've left the public space, PitchingBot has a new home on FanGraphs. fangraphs.com/leaders.aspx?p… Check out the primer here if you want to know more about what goes on under the hood: library.fangraphs.com/pitchi…
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Early Christmas present - submitted my thesis
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Cameron Grove retweeted
This feels relevant Alvarado vs Alvarez baseballaheadinthecount.blog…
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Effect of different weather conditions on pitcher command quality.
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Pitcher command quality in different temperatures. Sweet spot from 55-70 degrees?
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I didn't include snow in the first graph due to a small sample size, but the effect looks big even with a large error bar.
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Cameron Grove retweeted
Congratulations to the #SMTDataChallenge winners: @Pitching_Bot (Graduate Division) and @_b4billy_ (Undergraduate Division)! #UCSAS2022 1/
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Cameron Grove retweeted
Great study by @Pitching_Bot, not only looking at defensive fielder positioning, but finding ways to do it better. #SMTDataChallenge #UCSAS2022 1/
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Does anyone know where these large spikes of visits to my website came from? (pitchingbot.com not the pitcher grades app) I assume it was linked to from somewhere but can't find out where.
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I'll be at #UCSAS2022 in ten days' time presenting my defensive positioning algorithm which is a finalist for @SMTlive's Data Challenge. Here's my poster
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I've seen it suggested that banning the shift will increase the value of infielder range. I used my defensive models to see if that's the case. There isn't much of an overall effect, but there are significant changes with individual positions and batter handedness.
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How do I define range? A shift in the probability of reaching a ball using the curves below. E.g. +1 range reaches 50/50 balls at around a 75% rate My infield model isn't very certain on fielding probability so one "unit" of range corresponds to a large ability shift.
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What does this mean? Infielder range will be more or less useful depending on batter handedness. One could foresee a kind of fielding platoon for rangy 2B/3Bs, playing a different position based on the composition of the opposing lineup.
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