Full metal jackets from the Michigan district are amazing:
https://www.thebluealliance.com/team/393
I am the coach of team 4941 and we have a passive gear mechanism that only intakes through the chute. We have gotten the first 3 rotors independently multiple times and can consistently get 6 gears. I wouldn’t call us best in the world, but we can definitely run gears very quickly. You’ll see us this weekend in the Hopper division in Houston, Tx.
We consistently do 5-6 gears a match(when we are going for 4 rotors) with an all passive gear intake and deploy
Take a look at this match in Iowa: https://www.youtube.com/watch?v=JCA0TaIJ5v8.
If you’ll notice, both alliances are fast cyclers, and the defense doesn’t necessarily do all that much. Goes to show how once all four rotors are going, it’s gonna come down to climbing, 2 rotor auto, or fuel 
I’m curious how you gathered these stats.
Match data from TBA i’d assume.
Thanks, Caleb. That’s kind of what I was thinking.
The problem we (at 2834) found was that due to the step-function nature of the gears it wasn’t really possible to bring rotor counts back to a reliable gear number. Since this is the reverse function…
If AutoRotor=0
Then telopRotor==
40pts = 0 or 1 gear
80pts = 2,3,4 or 5 gears
120pts = 6, 7, 8, 9, 10, 11 gears
160pts = 12 gears
else if AutoRotor=60
then
teleopRotor ==
0pts = 1 gear
40pts = 2,3,4,5 gears
80pts = 6,7,8,9,10,11 gears
120pts = 12 gears
else if AutoRotor==120
then
teleopRotor ==
0 pts= 3, 4 or 5 gears
40 pts= 6,7,8,9,10,11 gears
80 pts = 12 gears
No matter how we massaged the FIRST data from our first tournament, we couldn’t get it to correlate very well to what our scouting kids had manually counted as number of gears made by each team.
So for our pre-scout data, we ended up just counting the percentage of times each team has got 3 rotors engaged and 4 rotors engaged. And this has turned out to be a decent predictor of their gear running performance.
For alliance choosing we use the manual count of number of gears.
By the way, our team will be hosting a presentation on scouting at St. Louis on 10:30 on Thursday. Everyone, is of course, invited.
Yep, this is a problem TBA predictions have faced all season as well.
How good are you looking for? Calculated contribution to total gears explained 66% of the variance in our scouting data at the Iowa regional. This is right on track with auto fuel high (66%), and much better than climb rate (43%) or mobility (19%).
Caleb got it from his own awesome spreadsheet which has component OPR’s broken down for every statistic that is collected by the FMS, for every event in FRC. You can find it here:
We are on that!!! Awesome!