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Originally Posted by snoman
Never played before, but another mentor and I maybe interested. What kind of time commitment are we looking at? Hrs per week. Can you give me a example week on how it works during season? Thanks
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Not playing this season but you basically need to be able to figure out some way to make a pick list of teams based on whatever categories you see fit for every event/district area. If only doing this, time commitment can be kept to a minimum. If data gathering can be automated, even less time can be used to do well. If you don't have a system for doing this, it's probably going to be overwhelming and either quality of your picks will decrease or time commitment has to be increased. More time can be spent after generating a list for more informed decisions that your system might have missed.
For example of a system, what we did to start our first year was was take the team list for each event and then in a spreadsheet, assign each team their previous year's opr, awards won in past two years, chairmen's wins, and engineering inspiration wins. From there we gave each category a weight and outputted the sum of all the weights to give each team their fantasy first score based on our metrics. At first we did everything manually but soon realized it was going to be too much work and figured out a way to generate oprs for a list of teams using other opr spreadsheets on chief delphi so it was only awards we had to do manually. Eventually we did the same for generating awards data per a list of teams and everything was pretty smooth after that. After everything was calculated, the person on our FF team with the most familiarity of a region would modify our list for things the system couldn't account for(such as if a team is going to win chairmens at a previous event)
This is a basic system that got did a decent job and I think we did fairly well for our first year. Overall, I think the more time you spend upfront, the less time required throughout the season. One thing our system could very much improve upon was being able to analyze how the system was doing week per week and using new data acquired throughout the season to do a better job trading.