I started writing a weekly blog based on a model I’ve developed (plus4.blog). The goal is to get the blog out on Sundays… my model is built where I can run my analyses for effectively any course the TOUR plays at any time, not just the current week, but I cannot find a way to bring in either field commitments or the posted PGA TOUR field list to be able to get a true analysis of the event for just the expected players. Currently, I just have to look at all the PGA TOUR pros and sift through who is actually playing in that given week. I know DataGolf posts the fields first thing Monday, but that’s too late for me to start my analysis given content demand starts on Sundays and a busy work schedule that limits Mondays.
Does anyone know of a data feed or extract that has the field commitments by OWGR or PGATOUR player ID? or any other identifier I could map in?
I don’t follow. You can run it at any time for any course but you also need the player list for the next week? PGA posts that on Friday (which I’m sure you already know, which is why I’m confused).
If you are trying to model like Pheonix right now. I think that would be fairly straightforward. I would look at what the top 30 guys played last year and assume they will more or less do the same and then fill in the field assuming rational behavior from the next 100. You could then do manual research for the top 10 guys if you wanted to.
Jkleinri blog speaks of corollary course analysis … are there many players who are true “horses for courses” outliers (meaning exceptionally positive vs their normal expectations on certain courses?). And, does the DG model incorporate corollary course analysis?
Do you mean does DG look at results on similar courses to make assessments? Yes, it’s extremely good at it. And finds correlations where you wouldn’t expect them Kapalua and Augusta being the most famous.
Do you mean does DG ID that a player is terrible on long courses with thick rough but is actually good at Memorial because the player is a “horse for that course.” Your sample size on him being good at memorial is going to be pretty small at that point and you will have conflicting data. I’m confident both data points will go into the mix but Will or Matt would have to tell you how much they are weighed.
Short answer from me is yes. Some players have a more pronounced dispersion (I.e. really good at these courses, really bad at those courses) vs. others who tend to be sway less across all courses. Jason Day is one I find who almost NEVER rates out exceptionally high and this I attributed to him not “fitting” courses super well because his skillset is so balanced.
Ryan Palmer is also good at, it feels like, exclusively Texas and Hawaii courses as well as a few Caribbean, island ones. There’s many situations like this.