Chief Scientist at Stats Perform: I do machine learning on lots of sports data
Joined June 2010
- Tweets 146
- Following 430
- Followers 899
- Likes 500
3 Photos and videos
Patrick Lucey retweeted
5 Mar 2024
Latest Trends in AI in Sport: March 2024 Edition
π‘ #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.
β‘οΈ bit.ly/4c5RGIr
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Patrick Lucey retweeted
8 Feb 2024
πΎSkill ratings for the top 15 ranked men and women for week 4 of 2024 (post @AustralianOpen)π
@WTA @atptour
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Patrick Lucey retweeted
5 Dec 2023
Recently, #STEM students at select #HBCUs had the chance to take an βAI in Basketballβ 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.
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Patrick Lucey retweeted
24 Nov 2023
ICYMI - proposals for next yearβs #OptaForum are now being accepted.
Full details β¬οΈ, including a practitioner-led category featuring a research question from @mathlacome
23 Nov 2023
π¨ Stats Perform announces call for research proposals for the 2024 #OptaForum Pro Track.
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Event date
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Submission categories
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Opta Vision data access
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Entry deadline: 3rd January 2024
Full submission details β¬οΈ
visit.statsperform.com/OptaFβ¦
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Patrick Lucey retweeted
27 Oct 2023
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. bit.ly/3FxYsYr
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28 Feb 2023
Iβm 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
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14 Dec 2022
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!
16 Nov 2022
π¨ Stats Perform announces call for proposals for the 2023 #OptaForum.
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Event date
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Submission categories
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Team-led presentation topics
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New Opta Vision track
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@Ligue1UberEats tracking data
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Entry deadline: 20th December
Full details β¬οΈ
bit.ly/3Ec51ie
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Patrick Lucey retweeted
21 Jul 2022
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!
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Patrick Lucey retweeted
7 Jun 2022
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
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Patrick Lucey retweeted
6 Jun 2022
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)
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Patrick Lucey retweeted
24 Mar 2022
Fascinating talk about data in sport (with lots of football) by @patricklucey. Masterful. π
17 Mar 2022
Interested in how sports teams, media and betting firms use data?
Next week our in-person event will share how AI is used, with examples from football, basketball and tennis.
β½οΈππΎ bit.ly/35oedlK | @patricklucey @OptaPro #LSE #DataScience
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Patrick Lucey retweeted
26 Oct 2021
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
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Patrick Lucey retweeted
4 Aug 2021
There is a fantastic opportunity at present for two people to come and work in Stats Performβs AI team β more details β¬οΈ. If you are passionate about data science and sport, this could be right up your street.
4 Aug 2021
πππ° ππ¨ππ¬ π¨
Weβre 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 π
Senior Data Scientist: bit.ly/3lohhEs
Data Scientist: bit.ly/3foMMuo
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Patrick Lucey retweeted
4 Aug 2021
πππ° ππ¨ππ¬ π¨
Weβre 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 π
Senior Data Scientist: bit.ly/3lohhEs
Data Scientist: bit.ly/3foMMuo
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Patrick Lucey retweeted
9 Apr 2021
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! bit.ly/39XZL3o
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Patrick Lucey retweeted
8 Apr 2021
Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data moving onto day 2 of Sloan Research Papers Finals πͺπͺ @anpatt7 @mjscott10 @alexottenwess @ACherukumudi @bbstats @patricklucey @counterattack9
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8 Apr 2021
Stats Perform to Present Two Key Sports AI Research Papers at the 2021 MIT Sloan Sports Analytics Conference - Stats Perform statsperform.com/press/statsβ¦
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Patrick Lucey retweeted
7 Apr 2021
Sloan Paper released! "Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data". global-uploads.webflow.com/5β¦ Authors: me, @bbstats @patricklucey @alexottenwess @mjscott10 @counterattack9 @ACherukumudi
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Patrick Lucey retweeted
7 Apr 2021
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
sloansportsconference.com/reβ¦
Enjoy!
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Patrick Lucey retweeted
25 Feb 2021
Stats Perform introduces Shape Analysis, a new AI-driven model that automatically identifies a team's shape, both in and out of possession. @JonnyWhitmore14 & @SeidlOnSports explain how the model works. π
bit.ly/3srS63Y
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