
My largest DFS win ever came at The Memorial in 2020, so this event has a special place in my heart. The big win was no coincidence – this course fit model is one of the two strongest we see all year, and its uniqueness further strengthens our edge.
A brief reminder of the thought process behind and execution of the course fit model:
Golf is the only sport such that the “arena” in which the game is played changes dramatically from one event to another. Consequently, each tournament provides its own unique challenge, emphasizing certain areas of the game more than others. Every week, there’s a mad dash across the industry to try to figure out who best fits the course – you’ll hear everything from course history citations to quotes like “It’s a bomber’s paradise.” But what if we could actually mathematically measure which players are the best fits? We can.
Thanks to DataGolf’s Course History Tool and our proprietary strokes gained: driving accuracy metric, we can run a regression model on past performances at each course to determine which strokes-gained statistics are most predictive of success at each event. In other words, we’re trying to answer the question, “What skill sets are most likely to translate into success at this course?” rather than “What have past winners done well here?” That’s a distinction that makes the model predictive instead of descriptive.
This article should now be viewed each week as providing a blueprint for the type of golfer we’ll want to target. Since it will be out every Monday morning, I won’t yet have the requisite data for the course fit projections. Therefore, you’ll have to wait for Pro vs. Pro for my first DFS thoughts and bets, which you can also find in the PGA bet tracker.
Predictive Power: 10/10
Hello, 10/10! This is just the second 10/10 of the year, with TPC Sawgrass being the other. There are so many layers to this course fit model, but the main takeaway is that it’s strong enough to paint a clear picture of what we’re looking for. Let’s start off the tee.
Distance is less predictive than usual, with a corresponding emphasis on accuracy. This is a key point – it is extremely likely that this means distance is not helpful in the absence of accuracy, but can be a difference maker for those who have the best of both worlds (like Rory McIlroy, Jon Rahm, Scottie Scheffler, Cameron Young, etc).
The calling card of this CF Model is the enormous weight on around-the-green play. Past champions and runners up like Matt Wallace, David Lingmerth, Matt Kuchar, and Hideki Matsuyama show that short games can carry a player here far more than at nearly any other golf course in the world.
Lastly, iron play as a whole is only as predictive as it typically is, even this aspect has a uniqueness to it. Virtually all of the signal is from mid-iron play, 150-200 yards. This will play a key role in determining our course fit specialists.
The priority list for course fit specialists this week looks like so:
Here’s a glance at the best mid-iron players in the field at The Memorial:
The first column is a weighted average of the player’s mid-iron performance over the last 24 months, 12 months, and in 2023 only.
By the way, if you haven’t yet seen, our birdie rate over expectation metric is back and better than ever! You can find the data here – it will be updated immediately after the course fit projections.
It’s been an excellent year so far at FTNDaily and FTNBets, and it’s only going to get better. I believe we’ve found the perfect balance of DFS, outright betting and PrizePicks play. Don’t miss out on any of it! If you’re a subscriber at one but not the other, use promo code PRO for 20% off.