Quote:
Originally Posted by brennonbrimhall
While invalid data could always throw off a model, our current model's accuracy is rather lacking. I'm hoping that someone would share a model they found useful and worked for them.
Did the Killer Bees use anything like this?
|
"average" match performance leadign into the match, and OPR Friday night for Ranking predictions. We would then look at the top 16 or so and see if any close matches might go the otehr direction, and how those would effect the rankings.
For the Championship, we will frequently use previous best OPR to run the schedule as soon as it is available looking for close matches to focus on and/or any potential "never going to win" that we could somehow pull a rabbit out of our hats.
Even if your robot isn't in contention, I recommend working on the tools to have your team ready in case it is. We were easily out of the Top 3 on Archimedes (254, 469, and 987 were easily the 3 best on Archi), but some luck with the schedule and skill in some key matches put us in the spot to be the #2 captain. I would put this in a similar tool-kit as making a pick-list. Even if you aren't a captain, you should make a pick-list just in case you are picked by someone without a list, or just to have practice to make a better one.