RBC Heritage 2026 | Three Selections from the ValueFinder Beta Model
ValueFinder Beta — identifying mispriced probabilities, not predicting winners
This is ValueFinder’s fifth live report. The model is 11 selections in, 91% positive CLV rate, and sitting at +175.3% ROI on 33pts staked. Full Masters review published Monday.
This week: RBC Heritage Harbour Town Golf Links | Hilton Head Island, South Carolina April 17–20 | $20M purse
Harbour Town is the complete opposite of Augusta. Where the Masters rewards power and tee-to-green dominance, Harbour Town is one of the shortest, tightest courses on the PGA Tour. Accuracy off the tee, precision iron play into small greens, and short game quality determine the leaderboard here.
ValueFinder’s course DNA analysis confirms this — SG:Approach is the dominant skill at RBC Heritage with a correlation of 0.265. Off-the-tee is actually negative in the 2025 data (-0.036). This week the model activated its precision advantage flag for the first time — redistributing weight from sg_ott toward sg_app for the top quartile approach players in the field. 20 of 78 players received the boost.
The model has three selections this week.
Kurt Kitayama — Betfair Exchange Entry Odds 160.0
Model probability: 1.4%
Market implied probability: 0.6%
Probability gap: +0.8pp
Model fair odds: 81.1
Kitayama is a precision ball-striker whose approach play profile fits Harbour Town well. He received the precision advantage boost this week — his sg_app ranks in the top quartile of the field. The model has rated him above his market price consistently across multiple weeks. At 160.0 the market is significantly underpricing his skill fit for this specific course type.
The market is pricing Kitayama at 160.0, implying a 0.6% win probability. The model puts his true probability at 1.4% — a gap of +0.6 percentage points. Model fair odds: 81.1.
Min Woo Lee — Betfair Exchange Entry Odds 75.0
Model probability: 1.8%
Market implied probability: 1.3%
Probability gap: +0.5pp
Model fair odds: 54.5
Min Woo Lee is the shorter-priced selection this week — a player whose all-round game and approach play numbers suit a course that rewards precision over power. DataGolf has him at 2.5% implied probability versus the market’s 1.3% — the DataGolf signal is the stronger driver here, with the model blend agreeing. At 75.0 the return profile across the three markets is attractive.
The market is pricing Lee at 75.0, implying a 1.3% win probability. The model puts his true probability at 1.4% — a gap of +0.6 percentage points. Model fair odds: 54.5.
Matt McCarty — Entry Odds 270.0
Model probability: 1%
Market implied probability: 0.4%
Probability gap: +0.7pp
Model fair odds: 99.5
McCarty carries the highest probability gap in this week’s field at +0.7pp. The model rates him significantly above his market price — a player whose underlying skill numbers suggest he is being priced as more of a longshot than the data warrants. At 270.0 the top-20 market at 33.75 offers compelling asymmetric returns if the model’s assessment is correct.
The market is pricing McCarty at 270.0, implying a 0.4% win probability. The model puts his true probability at 1.3% — a gap of +0.7 percentage points. Model fair odds: 99.5.
What we’re tracking this week
Closing Line Value: Do the odds on Kitayama, Lee and McCarty shorten between now and Thursday tee-off?
Calibration: 14 selections now logged across five weeks. The dataset is building. The evidence will speak for itself.
All three selections were logged Tuesday 14th April at Betfair Exchange prices shown above. Odds will move before Thursday — always check current prices before placing any bet.
ValueFinder is in active beta development. This is not financial advice.