If you haven't looked, how do you know it's bad?
Quote:
Originally Posted by Michael Hill
If you're using OPR for anything like picklist, I think you'll find yourself disappointed.
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First and most importantly, I would never make a picklist solely off of quantitative metrics, nor would I want to pick teams based on Pit-scouting and my assessment after watching that robot play. A good combination of both is what makes holistic scouting so valuable.
In almost every FIRST game, a high seeded captain is looking for a robot that is a strong offensive robot. This is exactly what OPR could assist you in finding. You could almost always look at a list of the top teams in OPR and pick one of those.
The second pick is not something you'd want to determine by OPR. Often, you are lucky to find a robot that can play offense, especially at small events or districts. Things like Pit-scouting become extremely important. I'd often look for teams with Multi-Cim gearboxes and strong 6WD or 8WD bases and drivers that know how to use them in matches effectively.
Quote:
Originally Posted by Michael Hill
I would also say that trying to validate OPR with ranks at regionals is also a useless statistic (why not just go by rank then if your OPR matches?).
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I've never done this, nor I would attempt to do so. A team's rank in seeding quite often does not directly correlate with robot performance, there are many factors that impact the tournament rankings. I certainly would not expect OPR to exactly match the seeding. Look back to 2010 and 2012's seeding systems, the seeding was greatly impacted not only by your partners but the opposing alliance. Perhaps if we had an extremely large sample size these kinds of ranking comparisons would become relevant...
Quote:
Originally Posted by Michael Hill
When you have a game that hinges on another team's ability to complete tasks, OPR will not be a good indicator of performance.
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This is exactly why I brought up CCWM before. This is still in my opinion accurately determining personal performance considering a mixture of different alliances and compositions. If we notice a distinct amount of parity between OPR and CCWM we know that a team has done more or less of the scoring for their alliance. It can also help narrow out teams that ranked extremely high or low, due to really strong or really poor match schedules. i.e. A team with a large CCWM value is doing the bulk of the scoring in general for their alliance.
Since you haven't taken a look at it yet, here is some information from your event, Central Illinois:
They look pretty accurate to me, especially at the upper end. I would say both these do a much better job of ranking robot performance than the seeding wouldn't you?
Since you haven't got a chance to look at OPR for the events or your team, I posted the link earlier, but I made a page for you with data just from Central Illinois here:
Central Illinois OPR/CCWM with Filtering. Enjoy!