[ScoutingNerd175]

Our scouting team took data on the number of tetras/balls actually scored by robots at the regionals we were attending. This may be more reflective of how teams are actually scoring. The only data I have access to at the moment is the data for the 2005 Chesapeake Bay Regional. So, out of 55 teams at the regional, 25 (45%) were numbered above 1000 (arbitrary number) with 9 (16.3%) being rookies. Looking at just the top 8 (scorers, not seeds), 2 (25%) were numbered over 1000, 1 (12.5%) was a rookie team. If I pick an arbitrary number again, like 2 tetras, 36% of teams that scored 2+ tetras were numbered over 1000 and 18% were rookies.



So I'm not sure if this data is in any way meaningful, but it may be more meaningful if someone keeps data on scoring, or something along those lines, to compare that to team number (in a more meaningful way than this) or to compare scoring to seed this year and last year (for example what % of the top 8 seeds were also in the top 8 scoring this years as compared to last year) to see if this algorithm is having an effect on where the highest scoring teams seed. (I can't do that here because I don't know the seeds for 2005 Chesapeake)

Or it might all be meaningless. But match results definitely do not equal scoring ability (the highest scoring robot in the Curie division at 2005 Championships was seeded 11th). Although, scoring ability definitely does not equal robot quality.