Час:
Выхад
Тэма: North American Tactic Experiment Credit Tourney| Абярыце краіну: |
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Канада |
I am going to make a data submitting form tomorrow probably, to collect data from the tournament. It may be useful to play all GKs you have (one in each game) in order to triple our data.
*****
Submit data for GKs in this tournament here:
docs.google.com/forms/d/1...
PLEASE PLEASE PLEASE only submit data when one GK played the whole game and include his attributes/info that the game engine saw on that day. Backup GKs don't count towards goalkeeping team strength so please cycle all your GKs through to give more data but be sure that data is only submitted when a single GK played the whole game.
Submit data for GKs in this tournament here:
docs.google.com/forms/d/1...
PLEASE PLEASE PLEASE only submit data when one GK played the whole game and include his attributes/info that the game engine saw on that day. Backup GKs don't count towards goalkeeping team strength so please cycle all your GKs through to give more data but be sure that data is only submitted when a single GK played the whole game.
Don't forget, swap out your #1 GK for #2 and #3 and upload their data too... triple our data set!
Just to clarify, the tournament games don't cost players any energy to play?
No. No energy spent. Not chem/exp gained. No ticket revenue generated. Strictly to win/lose credits. But in this case the focus is on data acquiring and since there is nothing really on the line people are more liable to submit data and agree to doing weird things with their lineup/formation.
I think that players play with full energy in tournament games... my goalies have a rating of 19 and 17 in the last 3 tournament games, however today in my friendly game both goalies made appearances and my goalie rating was 16. Might be something to look into while you look into the data.
Ya energy isn't considered in tourney games, it treats everyone as 100/100.
How goes the data gathering?
Slow. Will be another half season or so before ratios become relevant. These are low-end data points.
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