Cameron Grove

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

[Cameron Grove @Pitching_Bot]

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.

[Cameron Grove @Pitching_Bot]

@s8mb Beyond the GPS tracking issues that others have mentioned, their estimated arrival times strongly underestimate the impact of traffic.

Something I explored here:
https://t.co/OUX1FAX6Ts

[Milwaukee Brewers @Brewers]

Final: Great Britain 7, Brewers 3

[Cameron Grove @Pitching_Bot]

https://t.co/o08p3hLmOI

[Cameron Grove @Pitching_Bot]

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:

[Max Marchi @MarchiMax]

The @CleGuardians are looking for a Biomechanics Analyst to join their Baseball R&D group. Apply here: https://t.co/NyFyjhQ0hU

[Cameron Grove @Pitching_Bot]

🇬🇧

[Cameron Grove @Pitching_Bot]

As I've left the public space, PitchingBot has a new home on FanGraphs.

https://t.co/X7l4hWhmVo

Check out the primer here if you want to know more about what goes on under the hood:
https://t.co/FR0d4Nn71q

[FanGraphs Baseball @fangraphs]

PitchingBot and Stuff+ Pitch Modeling Is Now on FanGraphs! https://t.co/8gcZhwVXCd

[Cameron Grove @Pitching_Bot]

Early Christmas present - submitted my thesis

[Cameron Grove @Pitching_Bot]

@tangotiger Fair enough, I thought the graphs above avoided that by changing the samples to still include players on the "bad" side of random variation.

[Cameron Grove @Pitching_Bot]

@levy_cameron @tangotiger @TaiyoKeilin @SassoCT I couldn't locate the wOBA graph, but here are home runs and Ks

[Cameron Grove @Pitching_Bot]

@levy_cameron @tangotiger @TaiyoKeilin @SassoCT I agree the regular season results are mostly selection bias.

I redid some of the postseason analysis comparing to the odds ratio wOBA of the batter-pitcher matchup and there seemed to be something real there (didn't publish that though, I'll see if I can dig it out)

[Radley Haddad @RadleyHaddad]

This feels relevant

Alvarado vs Alvarez

https://t.co/qm4zjbQwjO

[Cameron Grove @Pitching_Bot]

@VorosM Hard to say much.

Note that the Phillies game would have come under "Cloudy" using this definition of weather. Fastballs show a bit more of a significant change from clear -> cloudy compared to other pitches.

[Cameron Grove @Pitching_Bot]

Effect of different weather conditions on pitcher command quality.

[Cameron Grove @Pitching_Bot]

@whoeferbaseball I filtered all of those out but I agree it would make a good control group.

[Cameron Grove @Pitching_Bot]

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.

[Cameron Grove @Pitching_Bot]

Pitcher command quality in different temperatures. Sweet spot from 55-70 degrees?

[Cameron Grove @Pitching_Bot]

@tangotiger @Light_Saberist One could argue that hitters have more control over whether they pull flyballs than pitchers have over BABIP.

https://t.co/6w8Velxe71

Whether the effect is significant enough to be worth including is another question.

[Cameron Grove @Pitching_Bot]

Also, batters have a reliable skill at getting their flyballs to fly further than the model expects when controlling for LA, EV, stadium, & weather.

Year on Year R^2 = 0.2 for min. 50 flyballs which is small but significant.

Here are the batters who gain/lose the most distance.