I've been working on a
golf betting model,
heavily based around the Bookie Bashing golf model (...although they typically consider ~3 metrics but I've taken 6 into account for this tournament and it scales to ~20 metrics with no extra effort)
The way it works:
- The model takes in a range of
key metrics for all PGA golfers
- User then specifies which metrics are
most important for a given tournament and ranks them on a 1 to 3 scale, where 3 is most important
- Then it calculates a
weighted average rank for all golfers, focusing only on those key metrics
- A filter then automatically
filters for only those golfers who are playing in the specific tournament
- Then the
Betfair odds are pulled in (winner, e/w, top 10, top 20)
- Finally the "Odds vs Metrics Diff" column highlights the degree to which each golfers odds are
in line or out of line with their weight average metrics-based rank
For the AT&T Byron Nelson starting tomorrow I chose the following ranked metrics, based on reviewing a few betting previews.
Driv Dist - 3
Strokes gained putting - 2
Birdie or better % - 2
Approach from 175-200 yards - 2
Approach from 200+ yards - 1
Scrambling - 1
In the diagram below I've plotted the Betfair win odds against the rating (...which I've scaled down to a 1-5 scale). This is filtered to only show players who are 229/1 or under and have a scaled rating of at least 1.8.
The spreadsheet at the bottom shows the key numbers, again filtered for everyone at 229/1 or under. Scottie Scheffler is rightly top of the odds & metrics list, but I could never bring myself to back a 4/1 shot in golf unless it was peak Tiger.
Bets-wise I'm going for the following:
Taylor Montgomery each-way (10 places) @ 32.0
Aaron Wise each-way (10 places) @ 50.0
Byeong Hun An each-way (10 places) @ 50.0
Harry Hall each-way (10 places) @ 90.0
Will Gordon top 10 @ 8.6
Harry Hall top 20 @ 6.0
Any questions or suggestions ping them my way