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Unread 14-12-2016, 16:30
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Re: Biggest upsets of 2016

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Originally Posted by Caleb Sykes View Post
Did you ever see how accurate your predictions were? After training with data from 2011-2014, my current Elo model gets a Brier score of 0.1792 for predicting the winners of the 2016 Championship qual and playoff matches. I'm planning to try to predict matches with OPR, CCWM, and win contribution in the future and compare results.
If you're going to compare to all of the various methods, would be cool to also compare to average qual score; anything less predictive than that is worthless basically.
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Unread 14-12-2016, 17:05
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Re: Biggest upsets of 2016

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Originally Posted by Chris is me View Post
If you're going to compare to all of the various methods, would be cool to also compare to average qual score; anything less predictive than that is worthless basically.
Do you mean each team's average qual score for the matches they have already played? Average qual score for the event would just predict a tie every match.
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Unread 15-12-2016, 10:55
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Re: Biggest upsets of 2016

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Originally Posted by Caleb Sykes View Post
Do you mean each team's average qual score for the matches they have already played? Average qual score for the event would just predict a tie every match.
Yes, the average qual score of the team's previous matches; just like OPR uses the data from the team's previous qual matches, etc. OPR was always meant to be an improvement over average score. You can also do average winning margin as an alternate metric. OPR is supposed to be better than average score and CCWM is supposed to be better than average winning margin.
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Unread 14-12-2016, 18:49
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Re: Biggest upsets of 2016

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Originally Posted by Chris is me View Post
If you're going to compare to all of the various methods, would be cool to also compare to average qual score; anything less predictive than that is worthless basically.
Wanna be lazier, try just predicting w/l based off existing win ratio for alliance at the event. I have a hunch it's as good as anything else.
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