Luke Bornn
@LukeBornn
Followers
10K
Following
2
Statuses
43
Co-Founder and Chief Scientist, @ZelusAnalytics. Formerly @SacramentoKings, @SFU, @ASRomaEN, @Harvard
California
Joined September 2011
The soccer analytics group at Teamworks (nee Zelus) is growing, with various engineering roles now open. See job postings here:
1
11
30
@ErikSelim V1 has lots of viz within the app, but these ones are all created in R (mostly via ggplot)
1
0
1
@joe_sill Haha, I play a course that has a couple 500-540 yard Par 5s, so it's typically driver then 3-wood.
1
0
0
@ConnorJungle @ArccosGolf V1 Game from @v1sports -- I've tried a ton of options but this has been the best so far.
0
0
1
0
0
6
And lastly, the same but focused on driver. Time for a new driver... 5/5
4
0
2
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.
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.
2
8
108
@SeidlOnSports It will not. Our plan is to host a live stream for the scientific sessions, but the keynote Q&A and panel (TBD) will just be for the in-person audience.
1
0
1
@forrestwastaken You can find 2016 here ( and 2018 here (. 2020 was cancelled due to the pandemic.
0
0
1
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: Paper: Code:
7
86
472
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!
My lab has had 11 Sloan papers over the last 5 years: '14: EPV '15: Counterpoints, Move or Die '16: Pressing Game, Court Realty '17: Possession Sketches, Scorekeeper Bias '18: Open Spaces, NFL Injury, NBA Replay, Deep Learning Trajectories here's a summary thread of them all:
6
19
197
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.
1
3
9