Top Tweets for #UCSAS2020
Moreover, If you are curious about the rest/travel/home advantage analysis, here is the presentation I gave on this topic in 2020 at #UCSAS2020:
https://t.co/jPniDcGUPO
If you loved #ucsas2020, you will also love #cmsac2020, which is this coming weekend. Register now!!! https://t.co/HJZTPApfcs
#UCSAS2020 a great success, thank all presenters, guests, judges, attendees, and volunteers. Congrats to student poster awardees @nate_rowan17 @BrendanKumagai @CrattyBria! Recordings at https://t.co/4hkgW0y54K. #SportsAnalytics #DataScience #RStats @UConnCLAS @UConnProvostCL

Some of our members recently attended the UCONN Sports Analytics Symposium #UCSAS2020 thank you and see you next year!!! @UConnSAS

@drivelinebases Just saw this yesterday at #UCSAS2020. Seems like there's a behavioral aspect to pitch sequence as well!
https://t.co/eIBVq8Gw3t
My favorite part though is I never once said who I was or what I did and every single person was so receptive to advice and questions. That’s how you get better! Listen and learn from anyone willing to help you! #loveit #UCSAS2020
Spent the morning poster judging at #UCSAS2020 ... the future of sports analytics is bright! Great ideas, well thought out and articulated #sports #sportsanalytics
Had a very fun day today at #UCSAS2020 ... counting down the days until #UCSAS2021 (just sent first tweet with next years hashtag #NewHashtag)
Proud to announce that @nate_rowan17 and I tied for 1st in this competition!
Thank you so much @chuurveg, @JPohlkampHartt and the entire #UCSAS2020 poster committee for taking the time to review and chat about my work today!
Here's my submission for this year's #UCSAS2020 poster competition!
I design a metric called the Point Trend Value that measures the rate at which a Jr. player's production improves/declines over a season and use it to analyze potential bias in NHL draft trends.

WOOHOO Congrats to Bria & Jack on the #UCSAS2020 honorable mention prize @UConnSAS poster competition!
Great posters @UConnSAS #UCSAS2020 a *HIGH SCHOOL STUDENT* just described how he was inspired by @Squared2020 posts and learned about KL divergence... Also @CMU_Stats #CMSACamp crew @CrattyBria @jackdlp did an awesome job today as well! #sportsanalytics https://t.co/4V6FWzx0wc
🙌
Thank you #UCSAS2020 for giving that student an opportunity to engage with fellow researchers and show off their work!
Great posters @UConnSAS #UCSAS2020 a *HIGH SCHOOL STUDENT* just described how he was inspired by @Squared2020 posts and learned about KL divergence... Also @CMU_Stats #CMSACamp crew @CrattyBria @jackdlp did an awesome job today as well! #sportsanalytics https://t.co/4V6FWzx0wc
Great posters @UConnSAS #UCSAS2020 a *HIGH SCHOOL STUDENT* just described how he was inspired by @Squared2020 posts and learned about KL divergence... Also @CMU_Stats #CMSACamp crew @CrattyBria @jackdlp did an awesome job today as well! #sportsanalytics https://t.co/4V6FWzx0wc
Catching up on #UCSAS2020, couple posters I liked:
Paul Ibrahim's "Comparing Free-Throw Forms Among NBA Players Through 3D Similarity Measures" used tracking data to compare shooting forms using diff methods, then cluster players. Reminds me of @inpredict!
https://t.co/0W45dze0cc
Dylan McGee asked if we will exclude 2020 in future because of its unusual fan circumstances. We will certainly inform the model of the season's uniqueness when we run and hopefully gain more information about the effect of home crowds.
#UCSAS2020
Neil Dave asked whether the home advantage shrank in 2020... Not sure yet, but we will figure it out in 2021 offseason.
#UCSAS2020
.@Will_Bliss18 Hey Will! Just seeing your question. I like your last name too! One of my good friends is a Reno alum! Go WolfPack!
#UCSAS2020
I will be available to talk about my poster today from 10:50am - 12:50pm (ET)! Check out my work and many others at #UCSAS2020 here:
https://t.co/b1j4D7OMzf
Here's my submission for this year's #UCSAS2020 poster competition!
I design a metric called the Point Trend Value that measures the rate at which a Jr. player's production improves/declines over a season and use it to analyze potential bias in NHL draft trends.

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