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Originally Posted by wigopher
Thanks mick for posting that report. It is interesting as I have been dabbling into the world of R and Python for my work. I am at the absolute beginners level, but I've been trying to think what data I would need to put into this in order to project out winning characteristics.
Not sure if anyone has tried to play around with the outputs of RDSS to do some modeling with the data? Just curious to hear what they found to be the results.
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You're welcome. It isn't an easy read but it's the basis for what many of the big betting syndicates (aka "whales") are doing. This is an oversimplification but it's the statistical analysis of factors and assigning them "weight" depending on their power in predicting the outcome of races. BTW that's exactly what Ted is doing with RDSS, especially the Rx factors.
Bill V, Bill Lyster, Lt1, Mitch44, rmath, myself and others have done modeling with the RDSS data and you'll find the results sprinkled throughout Pace and Cap.
If you're thinking about building a RDSS database for research purposes, please let me make two suggestions. First, I would wait until Ted's new release, which should be available later this month. It may have some additional information that you want to capture.
And second, after you've downloaded the mutuel prices and exported the race to Excel, copy the data for ALL the horses in the race to the Master Template, not just the winner's data (or the place horse's or the show horse's). There's a tab titled "All" and that's what it's for. If you don't have all of the data for a race, you won't be able to determine the Impact Value for a specific factor or a combination of factors. I learned this the hard way, after spending countless hours building databases for win and place horses only.
After you've collected several hundred races, you can export the data to Access or OpenOffice Base and run queries. Or you can use R or Python to build a "front end" to do that.
Please feel free to send me a PM and we can discuss this is more detail.