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Post by mikegarrison on Sept 20, 2015 3:51:19 GMT -5
I'm going to do something different this year. I'm going to keep a weekly updated pablo predicted finish. Here's how it will work:
1) Every Monday, Pablo will come out with new ratings and a new HCA. 2) I have built a matrix of who plays who, and where. I will put the new ratings in and it will update the probabilities for future matches. 3) For past matches, I will put in who actually won and lost. 4) I will calculate the expected W-L records for every team.
Note! These are not, strictly speaking, predictions of which team will beat which team. They are predictions of the most likely final records. Think of these like the "expected wins and losses" you see in many baseball standings. However, since I will be updating them with actual wins and losses as well as updated pablo ratings, they should converge to the actual records by the end of the year.
Based on the Sept 14 pablo, here are the predicted records and predicted average winning probabilities:
Washington (15-5) .766 USC (15-5) .731 UCLA (15-5) .729 Stanford (14-6) .699 ASU (12-8) .584 Arizona (11-9) .553 Oregon (10-10) .486 WSU (7-13) .346 Colorado (7-13) .345 Utah (7-13) .342 OSU (5-15) .238 Cal (4-16) .182
[updated: The current numbers are now just the sums of the expected wins and losses. My earlier attempt turned out to predict a team would go 20-0 if their actual record was 18-2. That's not the desired behavior! The current model now does converge to the actual record when the predictions are replaced by results.]
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Post by Paulj on Sept 20, 2015 5:15:05 GMT -5
Are the statistics behind your work similar to Markov predictions of final market shares between competitors?
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Post by mikegarrison on Sept 20, 2015 5:28:13 GMT -5
Are the statistics behind your work similar to Markov predictions of final market shares between competitors? I am not familiar with that work. Wikipedia says that Markov's work in general focused on predictions which depend only on the current state (and not on the way that current state came about). These would fall into that class, I think.
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Post by thesnakeguy on Sept 20, 2015 10:46:48 GMT -5
I am curious whether this includes ASU's win against Illinois. I know that the Pablo you used doesn't, but wondering if that match is included per #3 as a past match yet.
Thanks,
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Post by mikegarrison on Sept 20, 2015 11:11:53 GMT -5
I am curious whether this includes ASU's win against Illinois. I know that the Pablo you used doesn't, but wondering if that match is included per #3 as a past match yet. Thanks, No, "past matches" include only PAC-12 matches (and so are actually future matches right now). This is only about predicting the PAC-12 records, not the overall records. The way it works is that I use pablo to calculate the expected chance of winning a particular match. After the match is actually played, I will just go into that cell of the spreadsheet and change it from the calculated value to either a "1" or a "0".
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Post by thesnakeguy on Sept 21, 2015 0:06:59 GMT -5
That makes sense. I'll be interested to see how much the changes to Pablo will make to to the standings.
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Post by ay2013 on Sept 21, 2015 0:31:05 GMT -5
thanks mike
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Post by hammer on Sept 21, 2015 12:40:01 GMT -5
It will be a down year for the Pac, but at least when we are playing ourselves we can feel good about ourselves and pat each other on the back
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Post by aztecbuff on Sept 21, 2015 13:49:47 GMT -5
Thanks Mike.
Always great to get your great info on the Pac, and can't wait for the season to start. Only 1 day til Stanford-Cal get the (conference) season started, and 2 days til the CU Buffs play match #1!
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Post by bigfanofbigfan on Sept 21, 2015 14:44:22 GMT -5
It will be a down year for the Pac, but at least when we are playing ourselves we can feel good about ourselves and pat each other on the back 4 of the top 10 teams are from the Pac12
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Post by mikegarrison on Sept 21, 2015 15:30:41 GMT -5
With Sept 21 pablo:
USC 16-4 .801 Washington 16-4 .799 UCLA 16-4 .794 Stanford 15-5 .766 ASU 13-7 .642 Arizona 11-9 .532 Oregon 8-12 .423 WSU 8-12 .379 Colorado 7-13 .327 Utah 4-16 .196 OSU 4-16 .179 Cal 3-17 .161
It will be interesting to see how closely this prediction ends up matching the final records.
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Post by hammer on Sept 21, 2015 16:36:29 GMT -5
It will be a down year for the Pac, but at least when we are playing ourselves we can feel good about ourselves and pat each other on the back 4 of the top 10 teams are from the Pac12 Yes, but .... PSU, and a bunch of pretty good teams from the B1G, Pac-12, plus Texas and Florida
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Post by mikegarrison on Sept 21, 2015 16:41:24 GMT -5
What does "a down year" for a conference mean, anyway?
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Post by bayarea on Sept 21, 2015 16:54:15 GMT -5
If you plugged in the updated Pablo Sept. 21 rankings, would it change substantially?
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Post by mikegarrison on Sept 21, 2015 17:03:08 GMT -5
If you plugged in the updated Pablo Sept. 21 rankings, would it change substantially? Look a couple posts up.
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