Quote:
Originally Posted by IKE
I love the idea of "the Great Database", but sometimes statistics are not the most accurate measure of a teams impact as well.
In 2010, I know a team that scored 11 goals in 1 match. Most other matches they were under 2. The reason was that they were fed balls. It turns out when partnered with the "non-scoring" but passing team, others had such success.
In basketball, often a good player will get stronger defense applied to them. Sometimes even double-teammed while the player scores less, his team will actually score more as the other players are more lightly defended. In basketball, they are starting to use a metric called +/- that accounts for this.
This year, I suspect OPR or CCWM or LS will have a close correlation to team performance. It might have the closest correlation since 2008 in which it was was an earily accurrate predicter.
*Brownie points for why I bolded team.
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Right, and I don't mean to imply that this list be used as a pick list for each event. I just think it would be very nice and useful to be able to table some values and put them together in a spreadsheet. This could definitely be used as a secondary resource for scouting (the first one obviously being observation of the robot in action). I know for a fact this sheet would fail to provide a good 2nd pick, and hell, probably won't be as great for a 1st pick, but being able to list some numbers does well when it comes to match strategy. We can concentrate on which robots to shut down when it comes to offense, and using the Average Alliance Contribution stats, we can tell which team will be effectively used as a feeder or defender, and which one will be used as an offensive bot.