Latest Trends in AI in Sport: March 2024 Edition
💡 #GenAI helps us uncover previously buried insights and maximize the value of underlying data.
@patricklucey discusses recent developments in #AI and its applications in the sports industry.
➡️ https://t.co/mHIj62vmZW
Recently, #STEM students at select #HBCUs had the chance to take an “AI in Basketball” course. Presented by @StatsPerform, @StudentFreedom & @Morehouse, the class offered #education on the field of AI integration in sports. Thanks to all who were part of this innovative program.
ICYMI - proposals for next year’s #OptaForum are now being accepted.
Full details ⬇️, including a practitioner-led category featuring a research question from @mathlacome
This fall, @StudentFreedom partnered with @StatsPerform to launch an #AI in Basketball course for @Morehouse, @CAU & @SpelmanCollege students. This course is exposing #HBCU students to artificial intelligence, preparing them to lead in the growing field. https://t.co/IQN8HlfZRT
I’m excited to be speaking at the MIT SSAC this year - both giving a talk as well as being on a panel. Looking forward to seeing everyone there! @StatsPerform@SloanSportsConf#SSAC23
Less than a week until proposals for the Opta Forum are due! In addition to the FA and Stade-Rennais led questions, we also have our Opta Vision track - where you will get access to tracking data and our Opta Vision outputs. We will have tutorials as well, so don't miss out!
🚨 Stats Perform announces call for proposals for the 2023 #OptaForum.
✅ Event date
✅ Submission categories
✅ Team-led presentation topics
✅ New Opta Vision track
✅ @Ligue1UberEats tracking data
✅ Entry deadline: 20th December
Full details ⬇️
https://t.co/JTLe1ITbeo
Looking for data scientists to join our team and work on exciting sports stuff at @StatsPerform.
Two roles - FTE requiring 3+ years of prof exp, and 6 month long internships. Typical DS skills needed esp. strong Python skills. Remote in India / BLR.
DM me, if interested!
A very simple chase for @CricketAus against @OfficialSLC.
When SL were 100-1 off 11.4 overs, we predicted their final total at 182 with a win prob ~62%. They only managed 128.
The 13th over alone dropped SL's win prob from ~50% to ~32% (Hazlewood's 3 wickets).
#SLvAus
Here are the 1st innings score predictions for NZ. Pre-game we predicted 260 for NZ, with ~10% chance of scoring less than 135.
Lowest prediction was a score of 84 at the 24.5 over mark. This was just after the Jamieson wicket when NZ were 45-7.
(2/2)
a few slides from our talk at @ground_guru's Big Data event, showing off some of @StatsPerform's latest tools for player recruitment - some in prod, some still in dev
There is a fantastic opportunity at present for two people to come and work in Stats Perform’s AI team – more details ⬇️. If you are passionate about data science and sport, this could be right up your street.
𝐍𝐞𝐰 𝐉𝐨𝐛𝐬 🚨
We’re hiring two data scientists to join our AI Team, responsible for the creation and implementation of cutting edge models based on unique data sets. Full details 👇
Senior Data Scientist: https://t.co/RvhHr7Ku44
Data Scientist: https://t.co/1UB5fPuU39
Research Papers Semi-Finals #SSAC21#ShowMeTheData
Incredible work from this team using @StatsPerform AutoStats computer vision technology to access player data, then building interpretable models to predict how well a player will perform in the NBA! https://t.co/UeQi7NFnQT
Sloan Paper released! "Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data". https://t.co/uFlCzh4kkW Authors: me, @bbstats@patricklucey@alexottenwess @mjscott10 @counterattack9 @ACherukumudi
Our Sloan paper is out, "Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data."
by @anpatt7 @mjscott10, myself, @alexottenwess, @counterattack9, @ACherukumudi and @patricklucey
https://t.co/quqcxaq0yW
Enjoy!