Devin Pleuler
@devinpleuler
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Sr. Director, R&D - Team Ops, @MLSEPR โ Sport Performance Lab. Goalkeeper. he/him.
Toronto, Ontario
Joined June 2008
Overdue update to my Soccer Analytics Handbook pushed to @github! Changes are focused on modernizing all of the code samples to utilize libraries like @mplsoccer_dev and @kloppy_dev. Many thanks to @StatsBomb and @MetricaSports for the open data. https://t.co/zNs8EEB2nQ
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This is awesome. Congrats, Suds!
We have appointed Sudarshan Gopaladesikan as our new Technical Director ๐ค Sudarshan joins after leaving Atalanta, where he was Director of Football Intelligence, and will lead football data operations for our menโs, womenโs and Academy teams. Welcome to Newcastle United, Suds!
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I've started a free newsletter. Think of it as a one-stop shop for all my coverage, as well as a bit of bonus content for the true sickos. https://t.co/ciTrOWYB85
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Tomorrow night on campus, we're hosting an Industry Panel with @UofTSPAN with some distinguished speakers. ๐
Wednesday, November 6th โฐ 7:00pm (+ UofT time) ๐Wallberg Building (184 College)
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I am coming back to UofT to talk cameras and motion capture. Come if you're free!
Come to our third SPLxUTSPAN Seminar on Wednesday Oct 16 at 7pm in SS1073 (Zoom link in Discord) where Sreeker will explain how you can reconstruct 3D pose models from 2D pose estimation!
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This is the destruction of the 800+ trees at Ontario Place that @ThermeCanada and @fordnation don't want you to see. It's happening right now.
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Title slide for our second @UofTSPAN seminar tomorrow night.
Join the second SPLxUTSPAN Seminar led by Devin Pleuler titled Special Topics in Soccer Analytics on Wednesday Oct 2 at 7pm in WB116!
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Wednesday night down at @UofT, swing by for a talk on soccer analytics.
Join the second SPLxUTSPAN Seminar led by Devin Pleuler titled Special Topics in Soccer Analytics on Wednesday Oct 2 at 7pm in WB116!
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First SPL seminar on deck for Wednesday down at UofT.
Come join me for the first SPL x @UofTSPAN Data Challenge Seminar this Wednesday, Sep 18th at 7pm! ๐ I'll be talking through some of the ways I've used the SPL Open-Data repo to perform biomechanical research on movement variability! https://t.co/SkkZFAFRDd
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๐ Introducing ๐ฆ๐ฃ๐ ๐ข๐ฝ๐ฒ๐ป-๐๐ฎ๐๐ฎ: a repository of internal open-source biomechanics data released for the public advancement of sports biomechanics R&D. ๐ Our first release includes 3D markerless motion capture data from 125 basketball free throws. โฌ๏ธ Read more below...
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And of course, this project is highly inspired by @DrivelineBB's OpenBiomechanics Project.
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We have provided this data for our Data Challenge with @UofTSPAN this fall, but we're hopeful that it can be used in additional research! Follow them to get involved!
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SPL Open Data is accessible here, on @github. Released under a @creativecommons license. These data were captured from a non-professional athlete. https://t.co/C3LyZPLDyK
github.com
A collection of open-source sports biomechanics datasets collected by MLSE's Sport Performance Lab. - mlsedigital/SPL-Open-Data
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Sport Performance Lab has released our first Open Source dataset, including skeletal tracking data from 125 free throws captured from our internal markerless system. Together, with our ๐บ๐ฝ๐น๐ฏ๐ฎ๐๐ธ๐ฒ๐๐ฏ๐ฎ๐น๐น package, researchers can easily evaluate & visualize player motion:
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First use of mplbasketball.... incredible! Had all the code to get the data already, just a matter of putting it onto the court. So simple to use
Excited to introduce ๐๐ฆ๐ฉ๐ฅ๐๐๐ฌ๐ค๐๐ญ๐๐๐ฅ๐ฅ๐: SPL's Python plotting library for basketball data! Bring your 2D and 3D visualizations to life with fully customizable courts across the NBA, WNBA, and NCAA, along with complete integration with matplotlib.
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Get started with: ๐ฉ๐ข๐ฉ ๐ข๐ง๐ฌ๐ญ๐๐ฅ๐ฅ ๐ฆ๐ฉ๐ฅ๐๐๐ฌ๐ค๐๐ญ๐๐๐ฅ๐ฅ Check out the project repo and README: ๐
github.com
Basketball plotting library for use with matplotlib - mlsedigital/mplbasketball
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Proud of our first open source contribution! Highly inspired by @mplsoccer_dev, this package allows for high-quality plotting of basketball data. In multiple dimensions! Really excited for the @UofTSPAN students to use this in our upcoming Data Challenge.
Excited to introduce ๐๐ฆ๐ฉ๐ฅ๐๐๐ฌ๐ค๐๐ญ๐๐๐ฅ๐ฅ๐: SPL's Python plotting library for basketball data! Bring your 2D and 3D visualizations to life with fully customizable courts across the NBA, WNBA, and NCAA, along with complete integration with matplotlib.
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Come join us Tuesday evening!
We're excited that the SPLxUTSPAN Data Challenge is about to begin! An amazing 249 students from various schools and disciplines have expressed interest so far, and we can't wait to kick things off this Tuesday, September 10th, from 7-8 p.m. in BA1160 (40 St. George St.).
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Thrilled to be working closely with @UofTSPAN this fall on a brand new academic initiative. Open to all undergraduate and graduate students in Ontario. More details (and data) to come!
Announcing the SPL x UTSPAN Data Challenge in collaboration with the Sport Performance Lab (SPL) at Maple Leaf Sports and Entertainment! Sounds fun? Scan the QR code in the last slide to indicate your interest! Feel free to DM us with any questions
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Less than 1 month to go until the inaugural TISS conference. Come and see some of the World's leading sport scientists in Toronto. Can't wait!
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