Quote:
Originally Posted by speedbuggy76
Alright, I've spent some time trying to re-create your calculations using the data from Peachtree. However, I keep getting a different number for our team (2415) than you do.
Some sample data:
In match 5, blue alliance scored 39 points and was composed of 2415, 1683, and 3694
2415's average alliance score: 77.1
1683's average alliance score: 26.2
3694's average alliance score: 7.1
The average score of the teams on the alliance = (77.1+26.2+7.1)/3 = 36.8
2415's contribution = 39*77.1/36.8 = 81.7
Is this correct? I ran this calculation for all of our matches and found us to have an average contribution of 119.2. This disagrees with your value of 38. Any idea what I'm doing wrong/differently?
Also, how did you break up the Peachtree data for our robot into ERC and EMC? I'm just using the data set on the FIRST website which only contains total alliance scores.
Thanks for putting all this together and answering questions! You have my interest piqued.
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Sorry, that's my mistake in the representation of the algorithm. You should use the total score for your alliance not the average...
so
(77.1+26.2+7.1)
instead of
(77.1+26.2+7.1)/3
*trying to run through it off the top of my head doesn't always work out
I have also thought about generating highs and lows, by removing a teams highest and lowest matches, to give an ETC window rather than a set value.
every match is tweeted to the FRCFMS twitter feed and it contains one extra piece of information the red and blue bonus, which is the points put up in the race. by knowing this I can use the same algorithm i use for etc, but use it on the bonus score and then the alliance score - the bonus score (robot score)