Valero Texas Open 2026: Thursday Round 1 Predictions and Best Bets
The Valero Texas Open 2026 kicks off Thursday at TPC San Antonio’s Oaks Course. This is a 7,435-yard par-72 Bermuda layout that demands precision. Tight tee corridors and heavily contoured greens punish every loose iron shot. The back nine plays significantly harder than the front. Wind off the Texas plains can flip the leaderboard in a matter of holes.
The numbers favor players who control their irons and keep the ball in play off the tee. As we covered in our tournament preview, SG: Approach — strokes gained on iron shots into greens — is the dominant skill separator here. Here is what the numbers say heading into Round 1.
Favorites: Valero Texas Open 2026 Opening Round
Stat Legend:
– SG: Approach — strokes gained on iron shots into greens (most important stat at this course)
– SG: Off the Tee — strokes gained on tee shots (distance + accuracy combined)
– SG: Around the Green — strokes gained chipping and pitching near the green
– SG: Putting — strokes gained on the putting green
– Course Fit — how well a player’s skill set matches this course’s demands (+positive = advantage)
– Model Projection — projected strokes above/below field average this week
– Effective Odds — what a probability translates to in betting odds
Ludvig Aberg
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | +2000 | — |
| Win probability | 4.7% | +2041 |
| Top-5 probability | 16.4% | +511 |
| Top-10 probability | 26.7% | +274 |
| Make cut | 77.5% | — |
| Recent form | -0.011 (ranks 75 in field) | — |
The market prices Aberg at +2000, but the model says his win probability is 4.7% (effective +2041) — nearly a dead match. His recent form ranks 75th in the field at -0.011, meaning he has been close to field average lately. However, his underlying skill profile fits this course’s demand for precise iron play. A top-10 probability of 26.7% (effective +274) makes him a legitimate contender at this price.
Tommy Fleetwood
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | +2200 | — |
| Win probability | 4.4% | +2168 |
| Top-5 probability | 16.6% | +502 |
| Top-10 probability | 27.6% | +262 |
| Make cut | 80.0% | — |
| Recent form | -0.196 (ranks 124 in field) | — |
Fleetwood tees off Thursday alongside Hideki Matsuyama. His recent form ranks 124th in the field at -0.196, which is a red flag heading into a demanding layout. That said, his top-10 probability of 27.6% (effective +262) remains the highest among the favorites listed here. Furthermore, an 80.0% cut probability suggests the model still trusts his course fit despite the cold recent stretch.
Robert MacIntyre
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | +2300 | — |
| Win probability | 4.2% | +2278 |
| Top-5 probability | 16.1% | +522 |
| Top-10 probability | 27.0% | +271 |
| Make cut | 79.4% | — |
| Recent form | -0.165 (ranks 120 in field) | — |
MacIntyre carries a win probability of 4.2% (effective +2278), which aligns almost exactly with his +2300 market price. His recent form ranks 120th in the field at -0.165, similar to Fleetwood’s cold stretch. Nevertheless, a 79.4% cut rate and a top-10 probability of 27.0% (effective +271) suggest the model sees underlying course fit that the raw form numbers do not fully capture.
Value Plays: Valero Texas Open 2026 Best Bets (+3000 to +5000)
Maverick McNealy
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | +3000 | — |
| Win probability | 3.2% | +3027 |
| Top-5 probability | 13.1% | +661 |
| Top-10 probability | 22.4% | +346 |
| Make cut | 75.2% | — |
| Recent form | -0.146 (ranks 115 in field) | — |
At +3000, the market gives McNealy roughly a 1-in-31 shot to win. The model agrees almost exactly, projecting a 3.2% win probability (effective +3027). His recent form ranks 115th in the field at -0.146, so this is not a hot-streak play. Instead, this is a course-fit play — McNealy’s iron accuracy and contact quality profile match what TPC San Antonio rewards. His winning scenario runs through a strong ball-striking day on the hard back nine.
Rickie Fowler
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | +3600 | — |
| Win probability | 2.7% | +3622 |
| Top-5 probability | 11.7% | +757 |
| Top-10 probability | 21.1% | +375 |
| Make cut | 74.6% | — |
| Recent form | +0.022 (ranks 56 in field) | — |
At +3600, the market gives Fowler roughly a 1-in-37 shot. The model says 2.7% (effective +3622), making this essentially a fair price. However, fowler’s recent form ranks 56th in the field at +0.022 — the best recent-form number among the value plays. Additionally, a top-10 probability of 21.1% (effective +375) offers a more realistic outcome target than an outright win. His winning scenario involves consistent iron play keeping him in the hunt through the difficult closing stretch.
Keith Mitchell
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | +4300 | — |
| Win probability | 2.3% | +4280 |
| Top-5 probability | 9.6% | +946 |
| Top-10 probability | 17.4% | +475 |
| Make cut | 70.9% | — |
| Recent form | +0.105 (ranks 11 in field) | — |
At +4300, Mitchell looks like the clearest value in this range. His recent form ranks 11th in the entire field at +0.105 — by far the strongest momentum number among these three value plays. The model projects a 2.3% win probability (effective +4280), meaning the market has priced him correctly relative to the model. Furthermore, his top-10 probability of 17.4% (effective +475) combined with that form rank makes him the most actionable name in this section.
Longshots: Valero Texas Open 2026 Dart Throws
Adrien Dumont De Chassart
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | 102 to 1 | — |
| Win probability | 1.0% | 102 to 1 |
| Top-5 probability | 4.9% | +1944 |
| Top-10 probability | 10.0% | +903 |
| Make cut | 62.5% | — |
| Recent form | +0.072 (ranks 22 in field) | — |
At 102 to 1, Dumont De Chassart carries a 1.0% win probability (effective 102 to 1) — exactly where the market has him. The reason to look here is his recent form, which ranks 22nd in the entire field at +0.072. Most importantly, that form rank puts him inside the top-15% of the field right now. His winning scenario involves his current hot streak carrying him through the difficult back nine on a day when accuracy off the tee holds up.
Davis Thompson
| Stat | Value | Effective Odds |
|---|---|---|
| Win odds | 104 to 1 | — |
| Win probability | 1.0% | 104 to 1 |
| Top-5 probability | 5.1% | +1861 |
| Top-10 probability | 10.5% | +849 |
| Make cut | 63.3% | — |
| Recent form | -0.022 (ranks 81 in field) | — |
At 104 to 1, Thompson carries a 1.0% win probability (effective 104 to 1). His recent form ranks 81st in the field at -0.022, which is roughly field average. However, his top-10 probability of 10.5% (effective +849) is slightly stronger than Dumont De Chassart’s, suggesting a modest edge in course fit. His winning scenario runs through a clean ball-striking round on the Oaks Course’s demanding iron approach corridors.
Matchup Edges
The edge we flagged in Wednesday’s market analysis holds up across several of these pairings. Here is where the model sees the book getting it wrong.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: MacIntyre, Robert | +102 | -125 |
| FADE: Straka, Sepp | -102 | +125 |
The model gives MacIntyre a 6.1% edge here. The book has Straka as the favorite at -102, but the fair price puts MacIntyre at -125. MacIntyre’s course-fit profile on this Bermuda layout with tight approach corridors outweighs Straka’s recent form advantage. This is the largest edge in the matchup section, and the pricing gap is significant.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Meissner, Mac | +112 | -113 |
| FADE: Rodgers, Patrick | -112 | +113 |
The model gives Meissner a 5.8% edge. The book has Rodgers favored at -112, but fair odds flip that relationship entirely. Meissner’s iron play profile fits TPC San Antonio’s demand for precision approaches. By contrast, rodgers carries a higher fade risk here based on how his game maps against this layout.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Wallace, Matt | +120 | -101 |
| FADE: Jaeger, Stephan | -120 | +101 |
The model gives Wallace a 4.9% edge. The book has Jaeger favored at -120, while the fair price has Wallace as a slight favorite at -101. Wallace’s approach game fits the Oaks Course demand better than his odds suggest. That pricing gap of 221 cents makes this one of the cleaner spots on the board today.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Zalatoris, Will | +118 | -102 |
| FADE: Finau, Tony | -118 | +102 |
The model gives Zalatoris a 4.7% edge. Zalatoris’s iron play has historically graded well on courses that reward precise approaches. Additionally, the book prices Finau as a significant favorite at -118, while fair odds flip that pairing. The gap between +118 and -102 represents real expected value on Zalatoris.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Kim, Si Woo | +126 | +105 |
| FADE: Fleetwood, Tommy | -126 | -105 |
Key Takeaway
The model gives Kim a 4.6% edge. Notably, fleetwood’s recent form ranks 124th in the field at -0.196. The book still prices him as a meaningful favorite at -126. Kim at +126 with fair odds of +105 represents a clear book overreaction to name value over current form.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Mitchell, Keith | +105 | -113 |
| FADE: Taylor, Nick | -105 | +113 |
The model gives Mitchell a 4.4% edge. Mitchell’s recent form ranks 11th in the field — a number that should make him a clear favorite in this spot. Instead, the book has Taylor favored at -105. That is a 218-cent pricing gap that the form and course-fit numbers do not support.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Spaun, J.J. | +144 | +121 |
| FADE: Spieth, Jordan | -144 | -121 |
The model gives Spaun a 4.2% edge. Even though both players are priced as a clear underdog and favorite respectively, the gap between +144 and +121 still represents value. Spieth at -144 is overpriced relative to his course fit. Spaun offers a better return per dollar in this spot.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: McCarty, Matt | +112 | -106 |
| FADE: Reitan, Kristoffer | -112 | +106 |
The model gives McCarty a 4.2% edge. The book has Reitan favored at -112, but fair odds flip this pairing significantly. McCarty at +112 with a fair price of -106 is a 218-cent gap. Furthermore, mcCarty’s approach game maps more cleanly to TPC San Antonio’s iron demands.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: McNealy, Maverick | +114 | -102 |
| FADE: Fowler, Rickie | -114 | +102 |
The model gives McNealy a 3.9% edge. The book has Fowler as the favorite at -114, but fair odds flip the matchup. McNealy at +114 with a fair price of -102 is a 216-cent gap. Both players have similar model projections, but McNealy’s course-fit score creates the separation here.
| Book Odds | Fair Odds | |
|---|---|---|
| VALUE: Smith, Jordan | +112 | -102 |
| FADE: Smalley, Alex | -112 | +102 |
Key Takeaway
The model gives Smith a 3.4% edge. The book has Smalley favored at -112, but fair odds flip the matchup to Smith at -102. This is the smallest edge on the board today, but the 214-cent pricing gap still represents a meaningful mispricing worth targeting.
FRL Market: First-Round Leader
The first-round leader market pays out if a player leads after 18 holes on Thursday.
| Player | Odds | Win % | Eff. Odds | Top-10 % |
|---|---|---|---|---|
| Aberg, Ludvig | +2000 | 4.7% | +2041 | 26.7% |
| Fleetwood, Tommy | +2200 | 4.4% | +2168 | 27.6% |
| MacIntyre, Robert | +2300 | 4.2% | +2278 | 27.0% |
| Henley, Russell | +2400 | 4.0% | +2421 | 26.1% |
| Kim, Si Woo | +2400 | 3.9% | +2442 | 25.8% |
| Spieth, Jordan | +2600 | 3.7% | +2592 | 24.6% |
| Matsuyama, Hideki | +2700 | 3.6% | +2713 | 24.0% |
| McNealy, Maverick | +3000 | 3.2% | +3027 | 22.4% |
| Fowler, Rickie | +3600 | 2.7% | +3622 | 21.1% |
| Mitchell, Keith | +4300 | 2.3% | +4280 | 17.4% |
| Thorbjornsen, Michael | +4400 | 2.2% | +4435 | 17.3% |
| Straka, Sepp | +4500 | 2.2% | +4456 | 18.5% |
| Noren, Alex | +5000 | 2.0% | +5002 | 16.9% |
| Spaun, J.J. | +5200 | 1.9% | +5214 | 16.5% |
| Hisatsune, Ryo | +6400 | 1.5% | +6443 | 14.0% |
Top 10 Market
The top-5 market pays out if the player finishes in the top 5 after 72 holes.
| Player | Top-5 % | Eff. Odds |
|---|---|---|
| Poston, J.T. | 5.7% | +1662 |
| McGreevy, Max | 5.4% | +1749 |
| Olesen, Thorbjorn | 5.8% | +1623 |
| Thompson, Davis | 5.1% | +1861 |
| Taylor, Nick | 6.3% | +1494 |
The top-10 market pays out if the player finishes in the top 10 after 72 holes.
| Player | Top-10 % | Eff. Odds |
|---|---|---|
| Rodgers, Patrick | 10.0% | +898 |
| Hoey, Rico | 10.1% | +892 |
| Wallace, Matt | 10.8% | +826 |
| Meissner, Mac | 13.2% | +657 |
| Bezuidenhout, Christiaan | 12.7% | +686 |
For official tee times and groupings, visit the PGA Tour tee times page. For model-based probability updates throughout the week, check DataGolf.
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