To help with pre-scouting I have spreadsheets with the latest stats for each team. The stats contain the last event that the team attended. This should be very helpful for pre-scouting. Instead of having several tabs open analyzing each team, its all in one spreadsheet.
I would assume that the Played column is supposed to show the number of matches a team has played in total, but maybe they are just values for the highest QA competition. So I could just be reading it wrong.
May I ask how this data was generated? Are you normalizing the points with respect to the number of matches played? Otherwise, direct comparisons on absolute point values would not have much value.
Even if you were to take (total component points)/(matches), it would be hard to draw comparisons between teams between events due to the difference in the number of teams at an event, difficulty of schedule and average scoring ability of alliance members. For instance, you’d expect average scores to be higher for a District Championship than your average regional because those teams have already been selected to that event based on their performance. This means that absolute component point values would be higher for a robot attending a DCMP vs. if they were in your “average” regional.
In many ways, performances aren’t comparable across events. All ranking values are ~2/3* the result of your alliance partners’ performance, +/- any synergistic value between the individual teams. As a result, rankings are inflated/deflated based on your alliance partners at a given event.
As a result, none of the scouting done before champs can really determine anything except for general claims, but it’s fun and interesting nonetheless
*This isn’t ever true, but for the average robot, it’s close.