Top Tweets for #UCSAS2022
What a great time this past weekend at #UCSAS2022! Met great people and listened to amazing presentations! Can’t wait for the next competition!
Great insight for third-base coaches from @UMN_SAC’s @jackrog61, @KaiFranke3, @BalchJackson, and @IBlumhoefer. Their poster presentation was a real team effort! #SMTDataChallenge #UCSAS2022 1/

Congratulations to all the #SMTDataChallenge finalists. You produced some amazing work. Let’s do this again next year! #UCSAS2022 end/

.@_b4billy_ looked at the best circumstances for holding or advancing baserunners. #SMTDataChallenge #UCSAS2022 3/

.@Pitching_Bot looked at ways to optimize defensive fielder positioning, including an app allowing you to assign player locations and see expected results. #SMTDataChallenge #UCSAS2022 2/

Congratulations to the #SMTDataChallenge winners: @Pitching_Bot (Graduate Division) and @_b4billy_ (Undergraduate Division)! #UCSAS2022 1/
Even better, use your findings to consider as-yet unaddressed questions. In this case, can changes in fielder speed over the course of a season provide information on player fatigue? @ydouright #SMTDataChallenge #UCSAS2022 end/
Clearly, @ydouright thinks like a baseball scout. More specifically, a scout who understands the merits of quantitative evaluation. (I confess to a sympathy here myself…) #SMTDataChallenge #UCSAS2022 [Apologies for the sound quality. It was a popular poster session!] 2/
.@ydouright looked at speed as a proxy for fielding ability. More importantly though, he couched his #SMTDataChallenge analysis in terms of application. When you’re doing data science, usability makes a huge difference! #UCSAS2022 1/

This blew my mind. Who’d have thought such a successful catch probability model would come down to only THREE factors? 🤯 @jack_weyer #SMTDataChallenge #UCSAS2022 end/
It’s always nice to validate coaching and fielding intuition (and avoid running into walls…) @jack_weyer #SMTDataChallenge #UCSAS2022 3/
It turns out hang time and distance traveled made for straightforward factors; travel direction, not so much. @jack_weyer #SMTDataChallenge #UCSAS2022 2/
.@Bbl_Astrophyscs here (again), putting in some extra innings for the #UCSAS2022 #SMTDataChallenge. @jack_weyer looked at catch probability relative to player positioning, with some very interesting results. 1/

Great day at UConn Sports Analytics Symposium! #UCSAS2022

Great panel today for #UCSAS2022
@AlisonL
@StatsbyLopez
@BrendanKumagai
@MeganRisdal
@asmae_toumi
I’m glad I decided to attend and learn some new stuff.

Hey all! @Bbl_Astrophyscs here (still). I have great videos from @jack_weyer and @ydouright, but I also have a phone battery that’s almost dead. Discretion being the best part of valor, I’ll tweet those out later. Be patient. They’re good! #SMTDataChallenge #UCSAS2022

.@cale_williams presented some interesting results on assist throws to first base. #SMTDataChallenge #UCSAS2022 1/

While you’re at it, why not develop a model and build a generalizable app? @Pitching_Bot #SMTDataChallenge #UCSAS2022 end/
If you want to see how a defensive alignment works, why not just test it? @Pitching_Bot #SMTDataChallenge #UCSAS2022 2/
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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