Houston Open 2026 | Three Selections from the ValueFinder Beta Model.
ValueFinder Beta — identifying mispriced probabilities, not predicting winners
A quick look back: Valspar Championship
ValueFinder’s first two selections were Jacob Bridgeman (25.0) and Nicolai Højgaard (45.0).
Bridgeman finished inside the top 20. Højgaard made the cut but didn’t threaten on the weekend. Neither won — and in a field of 144 players, that is always the most likely outcome for any selection.
What matters more at this stage is Closing Line Value.
Bridgeman entered at 25.0 and closed at 21.0. The market moved significantly toward him between publication and tee-off — a strong positive CLV signal. Højgaard entered at 45.0 and closed at 41.0 — a smaller but still positive move in the right direction.
Both selections beat the closing line. Over a large sample, consistently beating the closing line is the primary evidence of a model with genuine edge. Week one is one data point. But it’s the right data point.
This week: Houston Open Texas Children’s Hospital Houston Open | Memorial Park Golf Course, Houston, Texas March 27–30 | $9.2M purse
Memorial Park is a demanding, tree-lined parkland course in the heart of Houston. It rewards sustained precision rather than length — players who miss fairways here get punished by tight lies and difficult angles into greens. The course profile from ValueFinder’s historical database is clear: approach play is the dominant skill, with a correlation of 0.571 between SG:Approach and finishing position — the strongest single-skill signal in the model’s course DNA database for any event run so far.
This week the model weighted SG:Approach at 40% — its highest allocation of the season. The selections below reflect that directly.
Ryan Gerard — Entry Odds 55.0
Model probability: 1.8%
Market implied probability: 1.5%
Probability gap: +0.2pp
Model fair odds: 57.2
Gerard ranks second in SG:Approach across the entire Houston Open field. He is an elite ball-striker by the numbers — a player whose iron play consistently ranks among the best on tour, but whose world ranking and market price don’t yet reflect that skill level fully.
On a course where approach play has a 0.571 historical correlation with finishing position, Gerard’s profile is exactly what the model looks for. The market is pricing him as a mid-tier longshot at 55.0. The model sees a player whose primary skill — iron play — is the most predictive skill at this venue.
Shane Lowry — Entry Odds 50.0
Model probability: 1.5%
Market implied probability: 2.0%
Lowry ranks third in SG:Approach in the Houston field. His total game is strong across all components and he brings major championship experience and composure under pressure. At 50.0 he offers each-way value for a player whose skill profile fits Memorial Park structurally.
He is not in the kind of headline form that drives market attention right now — which is precisely why the price is available. The model doesn’t care about recent media narrative. It cares about skill fit to course profile.
Kurt Kitayama — Entry Odds 35.0
Model probability: 1.6%
Market implied probability: 2.4%
Kitayama ranks fourth in SG:Approach in the field. A reliable ball-striker who tends to perform well on courses that reward iron play over raw length. At 35.0 he is the shortest price of the three selections this week — less margin for value than Gerard or Lowry — but his course fit profile justifies inclusion.
What we’re tracking this week
The same two things as always.
Closing Line Value: Do the odds on Gerard, Lowry and Kitayama shorten between now and Thursday tee-off? If the market moves toward these selections, the model is finding signals the market agrees with once it has had time to process the same information. That is the evidence of edge — not whether they win on Sunday.
Calibration: Over many selections, do players the model identifies as structurally well-suited to a course profile outperform their market price? This is a season-long question, not a weekly one.
All three selections were logged Monday 23rd March. Odds will move before Thursday — always check current prices before placing any bet.
ValueFinder is a probability model in active beta development. It identifies gaps between model-derived win probabilities and market-implied probabilities. We are not predicting winners — we are finding mispriced probabilities. This is not financial advice.