Damien Demaj, whose work on tennis I profiled in a previous post, now has a specifically focused spatial-tennis blog:
http://gamesetmap.com/
He has expanded his previous work on the Murray vs. Federer match, and is looking at some much more advanced spatial metrics for analysing shot patterns in tennis.
@DamienDemaj
Kirk Goldsberry is continuing to revolutionize basketball analytics by looking at spatial patterns in field goal attempts (and percentages). He is now being featured on ESPN's Grantland. At the MIT Sloan Sports Analytics Conference (SSAC) he presented a research paper on new interior defence metrics. Previously, he has also looked in detail at the spatial shooting percentages of Tony Parker of the San Antonio Spurs.
@KirkGoldsberry
Other links from the MIT SSAC that I found to be interesting include:
This paper by Wei, Lucey, Morgan, and Sridharan, which relates nicely to Demaj's tennis work.
This paper by Philip Maymin categorizing NBA plays based on the locations of acceleration events. Acceleration events are computed from the amazingly detailed NBA SportVu tracking data. I find particularly interesting the final figure (Figure 8, see below) which shows the amazing detail of this trajectory/movement data.
Looking forward to recap videos on:
- The XY Panel: The Revolution in Visual Tracking - presented by Sportvision
- Soccer Analytics - presented by Prozone
Related to the NBA SportVu data, check out this recent conference paper by Gudmundsson and Wolle, at ACM SigSpatial, where the authors begin to develop more advanced spatial-temporal metrics for analysing trajectory data in football (soccer). Really neat stuff to think about as these datasets (and computational tools) begin to develop!
Coming soon: Mapping the Proposed NHL Realignment Plan
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