Have been having a lazy Sunday morning looking over last years figures and pulled a table together that might help with structure strategy.
I have ranked the SC scores from each team in each match from highest to lowest then taken the average of the highest ranked score, then next highest etc down to lowest. There was quite a difference between the winning team and losing team, so I have also separated that out.
The other thing I wanted to do was the same process for the combined scores for a team having a DGW because I knew the highest scoring player in a DGW won’t necessarily get 2 x highest single game score. When I was doing this I noticed they were affected more by washouts and matches decided on D/L method - probably due to smaller sample size. Therefore, I removed DGR calculations where at least one game was affected and also looked at minimum and maximum combined scores to get an idea of range. Also may teams have more than 11 players feature in a DGR so the table just shows the highest 11 averages and there will be some scores that were used to calculate the average where a player only played one game.
Note that my data I used to calculate averages may have some typo errors, but should give a rough enough guide to get people thinking ... so hope it helps!
I find this sort of data helpful for working out how many players I should be picking from any single team in any given round ... then I move on to working out who they should be!
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