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#121
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Re: 2014 Curie Division
Can't really see it too good.
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#122
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Re: 2014 Curie Division
Full predictions. Note that this is based off of Max OPR and uses assist OPR as a tiebreaker.
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#123
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Re: 2014 Curie Division
Do you have this for the other divisions?
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#124
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Re: 2014 Curie Division
Unfortunately not, but I could start working on it.
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#125
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Re: 2014 Curie Division
I did the same thing, but got different results. Where did you get your OPR data? I used team 2834's for my results.
For top 8, I had 842 469 1241 1718 2013 118 125 135 Attached is my excel spreadsheet that uses team 2834's scouting database. It's interesting to see that OPR doesn't have a great correlation with the number of matches won predicted by OPR. |
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#126
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Re: 2014 Curie Division
You used World OPR, where Joel used max event OPR. Both are available in Ed Law's database.
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#127
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Re: 2014 Curie Division
Quote:
Quote:
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I thought your graph was interesting, here is what mine looks like with max event OPR. ![]() |
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#128
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Re: 2014 Curie Division
Quote:
Even more interesting, is team 3562, who has an opr of 31.8, and has 7 wins, predicted by OPR. Poor team 191 has an OPR of 30, and they only have 1 win predicted by OPR. You are missing team 2073 in your OPR, and have set their OPR to 35, but changing it to their real value does not make a difference in their win/loss. |
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#129
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Re: 2014 Curie Division
Quote:
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#130
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Re: 2014 Curie Division
A few more interesting (and for me, pretty eye-opening) statistics- Remember, that in these predictions assume that a team always scores exactly their OPR in each match, so OPR (in these predictions) is a perfect representation of robot performance.
Team 1884 has an OPR of 1.18. On their simulated performance, based solely on OPR and the matches they will play in, they will win 5 matches. Team 447 has an OPR of 74.14. On their simulated performance, they will win only 4 matches. The average OPR of teams that win 5 matches is lower than that of teams that win 4. There is little to no correlation between a teams ability to score and their ability to seed in the top 8. 1/2 of the top 8 scoring robots will not end up in the top 8. The 29th best robot places 5th, the third best robot places 10th, and the 5th best places 17th. |
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#131
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Re: 2014 Curie Division
Quote:
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#132
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Re: 2014 Curie Division
I don't think there is any way to account for it, but remember that teams in this division who were at the Mount Olive District played matches that were 20 seconds short. This will have a negative impact on their OPR.
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#133
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Re: 2014 Curie Division
Quote:
It would only affect teams whose Max OPR was from Mount Olive, or would have been from Mount Olive had the matches been the correct length. |
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#134
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Re: 2014 Curie Division
Quote:
(There are far too many people concerned with OPR and spending far too much time analyzing, adjusting OPR to show various things and make predictions. OPR is good for a very quick reference when you have no other information about a team. If you are spending more than 15 minutes on OPR, I suggest you actually watch matches of teams. You will get a far better picture of who is good and who isn't. Better yet, you will find what their strengths/weakness are.) |
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#135
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Re: 2014 Curie Division
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My point has nothing to do with individual teams, but it has to do with the schedule and number of matches. If you go out, and you score exactly 30 points per match, you may win one match, or you may win seven, depending on your schedule. That's what the data shows. I'm trying to prove how much of a difference your schedule can make. In these predictions, OPR is a perfect representation of a robots performance. In the real world, that is not true. I would generally expect that robots that score more points will rank higher, but it is not true. |
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