Co-Founder and Chief Scientist, @ZelusAnalytics. Formerly @ToulouseFC, @SacramentoKings, @SFU, @ASRomaEN, @Harvard
California
Joined September 2011
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CASSIS is less than 3 weeks away!
Both of our last two events ('22 and '24) sold out, and we’re expecting another great crowd this year.
If you’re planning to join us, now’s a good time to register.
👉 cascadiasports.com
1 month to go until CASSIS -- can't wait! Full program and registration details on the website: cascadiasports.com/
Luke Bornn retweeted
Thrilled to announce that the Seattle Kraken's @AlexMandrycky will be the keynote speaker at this year's Cascadia Symposium on Statistics in Sports! Full program and registration details at cascadiasports.com
Thrilled to announce that the Seattle Kraken's @AlexMandrycky will be the keynote speaker at this year's Cascadia Symposium on Statistics in Sports! Full program and registration details at cascadiasports.com
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 retweeted
🎧 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!
🔗podcasts.apple.com/gb/podcas…
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. open.spotify.com/episode/0tH…
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
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
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.
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: youtube.com/watch?v=TIRINmtZ…
Paper: lukebornn.com/papers/bornn_s…
Code: github.com/lukebornn/acute_c…
Decided in the fall that this will be my last year authoring papers at Sloan. As such, this thread is a great (and complete) resource for the 18 papers we’ve authored there since 2014. SSAC has been really good to me and my students — v thankful for doors opened and friends made!
And lastly, credit for these projects belongs with the students who lead them: @dcervone0, @alexdamour, @afranks53, @_amiller_, @IavorBojinov, @MattvanBommel, @JaviOnData, @OSPpatrick, Nate, Yatao, Nazanin. Also, to @Harvard, @SFU, @SacramentoKings for supporting the research.
2019f: Chuckers (w/ @nsandholtz, @jwmortensen). We introduce the idea of spatial allocative efficiency in basketball lineups using spatial hierarchical rank models, allowing us to understand how lineups lose efficiency through who shoots where. lukebornn.com/papers/sandhol…
2019g: Highlight/Lowlight (w/ @Ev_Keane, @phildesaulniers, Mehrsan Javan). We automatically construct highlight and lowlight reels through explainable temporal game models, incorporating levers for producers to fine-tune for multiple purposes. lukebornn.com/papers/keane_s…