updated scoreboard of dallas regional

Maybe I’m just an optimist, but it seems to me that the designers of the FMS scoring database would have saved all the alliance scores for each match (i.e. the Twitter data), not just the final total scores. We’re not talking gigabytes here.

However you’re really looking for a breakdown of the match score.


Twitter was one of the two public sources providing score component level data, the other being audience result screens (which are somewhat less convenient to parse!).

Could you elaborate what you mean by audience result screens? I* think* you are joking, but just want to make sure.

I do know that component scores are part of the event database but not if this level of detail is maintained after the season.

That’s basically what I am asking, and getting conflicting responses.

You would have to ask FRC HQ if that data is still available,

Been there, done that, never got a response.

Sorry, it does include those breakdowns.
The database, a priori, includes everything necessary for the Head Ref/Scorekeeper to be able to review and correct the different scoring elements of previous matches.

When a team stands in the Question box and politely discusses the previous match scores with the Head Ref, the database has all the information required.

Now I’m confused. What’s the difference between


I don’t understand the question either :slight_smile:
So my phrasing is deficient.

I think the difference is between the data being potentially available, and FIRST spending the money to make it available, especially considering all the other things that they are working on.

Only half joking.

The only public sources for component level scores in 2014 were the twitter feed and the results screen displayed to the audience at the end of every match.
Where high enough quality video exists of a match, especially recordings of the webstream, then the component level scores are available as images within the video, at least in principle.
It is clearly a much more difficult process to extract the scores from an image than from text (this is the “joking” part). However a sufficiently motivated individual, or perhaps community crowd sourcing, could extract the data.