Sign In

Dr. Robert Seidl

Senior 🎾 Data Scientist bei Stats Perform

Robert Seidl is a highly educated and experienced data scientist, currently working as a sports data science consultant for Selbstständig. He has a Ph.D. in computer science from Technische Universität München and has also completed a nanodegree in deep reinforcement learning from Udacity. Seidl has worked for numerous organizations in the past, including Deltatre, SciSports, ParkHere GmbH, and Data Incubator Reply. He has also served as a research associate at Technische Universität München and a student trainee at Siemens.

Seidl's expertise lies in data science and machine learning, particularly in the field of sports analytics. He has experience in developing predictive models and using data to better understand player performance and team strategies. He has also worked on projects related to parking space management and the optimization of logistics operations.

Highlights

Aug 3 · linkedin

Excited for the 2024 #Olympics  Men’s Doubles Tennis final! 🇺🇸Krajicek/Ram vs. 🇦🇺 Ebden/Peers for gold. 🎾 As a warm-up, check out my edited highlights of the 2012 final where the @BryanBrothers clinched gold in under 15 minutes! 🥇🏆

I have also looked into an interesting statistic the Bryan brothers seemed to be very good at. They kept their service games short to increase pressure on their opponents serve.

https://lnkd.in/drAMW497

Aug 14 · linkedin

Here is some of my latest #tennis data science work on WTA data together with Ysabel González Rico and Patrick Lucey at #StatsPerform. Most of the statistics in tennis are deeply flawed and do not tell you a lot. Simple counts of points won on serve or return tell only part of the story. I.e. winning a return point by a double fault against an average player at 0-0 is something completely different than winning a break point against a great server to win the set. Yet, common statistics treat each of these points equally and ignore the context. A way better approach is to assign each player a skill (on serve, on return) and update the skills of both players after each point is played. (Think about ELO ratings in chess or leaderboards in computer games). This way each point is naturally weighted by its difficulty. We did exactly this and you can read about our findings on #TheAnalyst. For example:

  • Iga Swiatek is the best on return (especially in long rallies, and when it is an important point),
  • Ons Jabeur is the best server,
  • Simona Halep is playing better than her starts would suggest

On a second note: What is the coolest job you can give an intern? I think it is to work on a topic that actually matters and let her finish with an article on #TheAnalyst. Great job Ysabel González Rico! ;)

Related Questions

What projects has Robert Seidl worked on at Stats Perform?
What is Robert Seidl's educational background?
How long has Robert Seidl been with Stats Perform?
What are Robert Seidl's main responsibilities as a Senior Data Scientist?
Does Robert Seidl have any notable publications or presentations?
Dr. Robert Seidl
Dr. Robert Seidl, photo 1
Dr. Robert Seidl, photo 2
Add to my network

Location

Munich, Bavaria, Germany