Luke Bornn

Co-Founder and Chief Scientist, @ZelusAnalytics. Formerly @ToulouseFC, @SacramentoKings, @SFU, @ASRomaEN, @Harvard

[Luke Bornn @LukeBornn]

Salah’s career speaks for itself, but the story is also a reminder of what can happen when clubs combine smart people, good process, and the courage to trust evidence.

A privilege to contribute a small perspective to a much bigger story.

[James Pearce @JamesPearceLFC]

We’ve got a special three-part series on Mohamed Salah’s record-breaking Liverpool career and his legacy.

Here’s part one with @MarkCarey93 on how the shrewd signing of Salah with a data-led approach sparked changes across football.

https://t.co/MbUah1noqQ

[Luke Bornn @LukeBornn]

After numerous requests for additional time, we’re extending the CASSIS abstract submission deadline by two weeks, to May 31.

Looking forward to seeing your submissions!

[Luke Bornn @LukeBornn]

Call for Abstracts: The Cascadia Symposium on Statistics in Sports (CASSIS) is now accepting abstracts for oral presentations. Deadline is May 15. More details at https://t.co/1A2TEaLWNx

[Luke Bornn @LukeBornn]

Call for Abstracts: The Cascadia Symposium on Statistics in Sports (CASSIS) is now accepting abstracts for oral presentations. Deadline is May 15. More details at https://t.co/1A2TEaLWNx

[Luke Bornn @LukeBornn]

For those working on a research project in sports analytics, the conference's call for abstracts will go out next month (with abstracts typically due in late May).

[Luke Bornn @LukeBornn]

Save the date: CASSIS ‘26 will be held on September 12th this year. Same venue as always (SFU Harbour Centre in downtown Vancouver).

[Luke Bornn @LukeBornn]

@CountNefaria22 @ground_guru All of the above happened after my time at Milan and the Kings, respectively, so unfortunately I’m not of much help.

[Luke Bornn @LukeBornn]

@ground_guru @PeterPrickett @ToulouseFC To clarify, we specified high-level style of play where aligned with our overall philosophy and backed by data. But we weren’t dogmatic about any of the finer tactical details, esp those w/o empirical backing, and let those shift dynamically w/ squad, coaching, experience, etc.

[Training Ground Guru @ground_guru]

🎧 Episode #69 of TGG Pod is with @LukeBornn

📊 Analytics pioneer
🏀⚽️Head of Data with @SacramentoKings & @ASRomaEN
🏆 Key in @ToulouseFC promotion + Cup win
🕴️Founder @ZelusAnalytics, now @Teamworks Intelligence
🥇 1st person to return on TGG Pod!

🔗https://t.co/MlT3dh0JTj

[Luke Bornn @LukeBornn]

A direct link for non-Spotify folks

https://t.co/Z4eewH9C4y

[Luke Bornn @LukeBornn]

I rarely speak publicly on technical topics these days, so I really enjoyed recording an episode on Alex Andorra's Bayes podcast recently. For those with a more technical bent in the stats/analytics community, hopefully there are some useful nuggets here. https://t.co/b87i9BVR7M

[Luke Bornn @LukeBornn]

@ErikSelim V1 has lots of viz within the app, but these ones are all created in R (mostly via ggplot)

[Luke Bornn @LukeBornn]

While watching this 0-0 draw, thought I'd try visualizing some personal golf data. The intersection of golfers and sports analysts couldn't fill a foursome, but perhaps a couple of you are interested. First up, a round at Bandon Dunes from earlier in the summer. 1/5

[Luke Bornn @LukeBornn]

@joe_sill Haha, I play a course that has a couple 500-540 yard Par 5s, so it's typically driver then 3-wood.

[Luke Bornn @LukeBornn]

And lastly, the same but focused on driver. Time for a new driver... 5/5

[Luke Bornn @LukeBornn]

A simple one looking at strokes gained against distance, split by shot type. Pretty remarkable how costly penalties and shots into recovery situations are. Turns out the only thing I'm half-competent at is recovery punch-outs. 4/5

[Luke Bornn @LukeBornn]

People usually point to collection bias (events never "exactly on the line") and rounding, but there's more. Tagging locations on a 105x68 pitch is really hard: 2-4m errors are normal. But lines provide a reference point, so tagged locations become much more accurate around them.

[Sertalp B. Çay @sertalpbilal]

I was looking at the Premier League event data and noticed that lines are almost visible to naked eye. I think I have seen someone mentioning this before, but it should be a data entry issue, right? No reason for players to avoid lines. Can't find the reference for it.

[Luke Bornn @LukeBornn]

Analytics doesn’t work

[Luke Bornn @LukeBornn]

Sports scientists -- Here's evidence that the scientific literature may be grossly over-estimating the value of acute:chronic workload ratios in predicting injuries:

Talk: https://t.co/fclqWt74UE
Paper: https://t.co/STp7c2UrZr
Code: https://t.co/RUAo7YEJSd