Golf Probability Model

For $1,500 — Ends 28 Feb 2018 (in 2 days)

I'm looking to get a PGA Tour Golf Model built.
Essentially, I want to determine a player's probability for winning a tournament, based on certain data metrics.
It will be used for betting purposes.
You Would go to pgatour.com and scrape the following variables for season 2018 / 2017 / 2016:
1. Victory Leaders: https://www.pgatour.com/stats/stat.300.2018.html - this is effectively the strike rate – how often do they win per tournament entered
2. Strokes Gained: Tee-to-Green - https://www.pgatour.com/stats/stat.02674.2017.html
3. Strokes Gained: Putting - https://www.pgatour.com/stats/stat.02564.2017.html
4. Scrambling: https://www.pgatour.com/stats/stat.130.2017.html
Other considerations that I’m not sure how to collect:
• Favourite courses – how did each golfer go last time they played at that course? Hard when some annual tournaments are played at different tracks.
• Current form – what was each golfer’s finishing positioning in their last five tournaments?
• Weather – how do we identify golfers that play great in bad conditions? The favourite tracks information would help if we can’t filter by rain / wind / heavy tracks
When you apply for this job, include ideas for how to extract those last three variables.
Please include relevant experience of similar tasks too. The more experienced you are, the more likely you'll be used for this job and other similar tasks in the future.
Looking to spend close to $1000US.
Thanks. - $1500.0


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