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Compare Players' ratings within a given session

After a session, I’m interested in comparing how I played OVERALL vs. the other players in that session. For example, if there’s 8 of us rotating for 2 hours, how do I compare to the other 7 players?

Right now there’s no way to do this. I can look at the ratings for the other players in a specific game, and I can look at all of MY ratings for a specific day/session, but I can’t compare across people across games.

Just like an app like Swish will show you the win/loss record (and %) and point differentials across a session, it would be great to be able to have something similar using the Overall Skill Rating for multiple players.

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Comments4

  • PB Vision Team

    Team•

    Apr 25

    The way to do this today @Jeff Lash is using this feature across multiple games

    https://help.pb.vision/articles/8878232-discuss-with-ai-chat-feature-guide

    • Jeff Lash

      •

      Apr 25

      Thanks for the tip — and yes, I’ve done this, though it would be nice to do it within PB Vision directly rather than having to go the extra steps. I usually upload all games from the same day to a single folder in PB Vision, so it would be great to have some “folder-level” analysis like this…

      • PB Vision Team

        Team•

        Apr 25

        Got it, yes that is much better. I think we’ll get there soon.

        • Jeff Mo

          •

          Aug 3

          I have a slightly different ask but with the same general idea as Jeff Lash - like him (and I assume most people), I might play 6-8 games in a 2 hour session, and so my folder for that day will have 6-8 games in it. I might only hit a two-handed backhand drop 2 times a game, but in that 2 hour session I might hit it 12 times. When I go to the shot selector, it would be really awesome if there were folder level (or even more - like all games in the last two weeks, etc.) filters that allowed me to isolate shots across many games, as opposed to just the single game. I think that would really help me be able to see what I’m doing wrong across a large sample size.