Pieter Robberechts
@p_robberechts
Followers
2K
Following
868
Media
40
Statuses
354
PhD student @DTAI_KULeuven, applying Machine Learning on sports data.
Belgium
Joined January 2010
RT @l_cascioli: 🚨The third and final blog post in our series on possession value models design decisions🔍: Can the features chosen to repre….
dtai.cs.kuleuven.be
Conceptually, possession value approaches such as VAEP, PV, OBV, and g+ are all identical: they estimate the chances of scoring (and…
0
6
0
The workshop welcomes research on applying ML & data mining to sports — all disciplines, including e-sports. 📅 Monday 15 or Friday 19 September 2025 .📍 Porto, Portugal. 📝 Submission info: Feel free to reach out with any questions!.
1
0
3
After a fantastic run by @JanVanHaaren, @jessejdavis1 and Ulf Brefeld, we’re honored to carry the torch and continue the workshop's legacy! 🔥.
2
0
2
📣 Excited to share that the Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA) will be held again this September as part of @ECMLPKDD! w/ @MaaikeVanRoy @hugoriosneto and @azimmerm_dm .
dtai.cs.kuleuven.be
Workshop on Machine Learning and Data Mining for Sports Analytics at ECML/PKDD 2025
1
4
18
RT @ethanf_17: One of my hobbies is doing some light data science for soccer. Best package in the game is SoccerData. Makes it easy to pul….
0
4
0
RT @PySportOrg: 🎄 𝐤𝐥𝐨𝐩𝐩𝐲==𝟑.𝟏𝟔.𝟎. Happy Holidays to the Sports Analytics Community! . This release contains some exciting updates, you can….
0
2
0
RT @l_cascioli: Part 2 in our series on possession value models design decisions🔍: How the definition of "near future" has interesting effe….
dtai.cs.kuleuven.be
Conceptually, possession value approaches such as VAEP, PV, OBV, and g+ are all identical: they estimate the chances of scoring (and…
0
9
0
I promise there will be some great insights into this blog post series.
We're doing a deep dive into possession value models. While VAEP, g+, PV & OBV are conceptually identical, they make different design choices. First, we look at using (no) goal vs. xG as the target variable. w/@p_robberechts @jessejdavis1 @lodevantente .
0
0
3
Nothing quite like a 'quick update' turning into a two-day saga of dependency chaos. But hey, 𝗱𝟯-𝘀𝗼𝗰𝗰𝗲𝗿 is updated for the first time in 4 years! 🚀
2
12
118
RT @l_cascioli: Has soccer gone too far in its obsession with keeping possession?⚽️. A few weeks ago I presented our latest research paper….
0
4
0
Attending @ECMLPKDD and interested in sports ⚽🏀🏈? Don’t miss our tutorial on Team Sports Analytics tomorrow! Our goal is to provide an accessible overview of existing work on the use of machine learning in sports. Check out the details here 👉
1
6
20
RT @mr_le_fox: Part of @kloppy_dev 3.15.0 is the 𝘢𝘨𝘨𝘳𝘦𝘨𝘢𝘵𝘦 method. This allows you to go from dataset to aggregation in a single line. The….
0
2
0
At long last, we have a (fingers crossed) bug-free implementation of orientation and pitch dimension transforms in @kloppy_dev!🚀✨
🚀 𝐤𝐥𝐨𝐩𝐩𝐲==𝟑.𝟏𝟓.𝟎. A new version of kloppy (3.15.0) is now available!. This release includes major additions:.✅ DatasetTransformer (to easily transform pitch dimensions).✅ Minutes Played Aggregator.✅ Time Based Positions .✅ Improved Orientation.
0
4
13
RT @mr_le_fox: Where do you normally store large assets required for automated tests? Should it be part of the repository? Those assets can….
0
1
0
RT @jessejdavis1: Curious about the favorites for #CopaAmèrica2024? our projections are below with home advantage for the US. w/@p_robber….
0
3
0
🏟️ With 51 matches ahead, our computer model has a standout #euro2024 favorite—France🇫🇷 at 26%. Other top contenders include: 🇩🇪16%, 🏴15%, 🇵🇹11%, 🇪🇸10%. Our interactive visualization provides detailed odds for each team👇(\w @_dnzcn @jessejdavis1 ).
1
0
14
A key challenge in developing sports analytics metrics is how to evaluate them. I shared some insights on this topic at the @PySportOrg meetup a few months ago, covering various approaches and lessons learned. A recording of the talk is now available online.
The videos of our last meetup at the @statsperform office are out on youtube! . Presentations by @p_robberechts, @numberstorm and @patricklucey. Thanks @andycoops83 for co-organising this great event!.
0
4
17
RT @_dnzcn: Our projections are back! 🔮. We have simulated #euro2024. Our model rates France as the strong favorite with a 26% chance of wi….
dtai.cs.kuleuven.be
It is hard to believe, but it is already time for another Euros Football Tournament. So, who are the favorites and dark horses heading into…
0
5
0
RT @jessejdavis1: Looking for places to publish #sportsanalytics research? We’ve put together a list:.
dtai.cs.kuleuven.be
The DTAI Sports Analytics Lab is a group within the KU Leuven DTAI lab that focuses on the applications of machine learning and data mining in sports.
0
11
0