RBC Heritage 2026 | Review | Two More Longshot Places for the ValueFinder Model
ValueFinder Beta — identifying mispriced probabilities, not predicting winners
This needs a proper introduction.
ValueFinder is 14 selections in. The model has been live for five weeks. We have not had a single outright winner.
The ROI is +339.5%.
That number needs explaining — because it tells you something important about how this model works and why the market structure we use matters.
The RBC Heritage Selections
Three selections at Harbour Town this week. The model activated its precision advantage flag for the first time — redistributing weight from driving distance toward approach play for the top quartile of approach players in the field. Harbour Town is one of the shortest, tightest courses on tour. Accuracy wins here, not length.
What the Model Got Right
Kitayam
a was flagged on two signals — a consistent positive gap across multiple weeks, and the precision advantage boost at Harbour Town where his approach play profile ranked in the top quartile of the field. The model identified him as underpriced. He finished top 10.
McCarty carried the highest probability gap in the field at +0.7pp. The model rated him at 1.3% implied probability versus the market’s 0.4%. He finished top 20 at 270.0.
These aren’t flukes. They’re the model doing what it’s designed to do — finding players the market underestimates, backing them across three markets, and letting the asymmetric return structure do the work.
Next Week
Selections report publishes Tuesday. The model continues to improve — this week marked the first run using rolling SG ratings built from six weekly snapshots, replacing the static skill ratings that were limiting the model’s ability to capture current form.
ValueFinder is in active beta development. 14 selections, 5 weeks. This is not financial advice.