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

Joined July 2019
500 Photos and videos
Pinned Tweet
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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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
10 Oct 2022
Congratulations to the #SMTDataChallenge winners: @Pitching_Bot (Graduate Division) and @_b4billy_ (Undergraduate Division)! #UCSAS2022 1/
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Cameron Grove retweeted
8 Oct 2022
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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