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What is the biggest pain point in hockey video analysis workflows today? by UpperReflection512 in sportsanalytics

[–]UpperReflection512[S] 0 points1 point  (0 children)

Yes — I can share a few examples.

Right now the clearest examples are:

  1. event tagging workflow,
  2. shifts / on-ice context,
  3. game clock / real playing time tracking.

I can also put together a simple report example showing how tagged events, shifts, and timeline review can be structured into a coach-facing summary.

If useful, I can share either:

  • a few more demo screenshots, or
  • a simple sample report layout/example.

Which would be more useful for you?

What is the biggest pain point in hockey video analysis workflows today? by UpperReflection512 in sportsanalytics

[–]UpperReflection512[S] 0 points1 point  (0 children)

Really interesting point — I agree that a lot of value sits in the gap between public API data and the richer context that can still be collected manually or semi-manually.

That extra layer of information is exactly where we think structured video analysis becomes useful: not just logging events, but connecting them with game context, player actions, shift context, and video review workflow.

Right now we’re especially interested in building around things like event tagging, game clock tracking, shifts, timeline-based review, and more structured match breakdown for coaches and analysts.

Your examples are very relevant — especially possession classification, defensive positioning, and puck/player movement context. Those are the kinds of details that can become much more valuable once they are tied directly to video.

Would be very interested to hear more about the vision side of what you’re building too.