PropsBot grades every hitter’s home run probability against the price the book is offering, and on July 7 the sharpest home run value belongs to Willson Contreras, whose 17.1% modeled probability is priced at +388. Miguel Vargas (16.5%, +326) shares the same Chicago matchup one dugout over, and Garrett Mitchell (8.2%, +620) is the long-shot dart for those chasing a bigger number.
How PropsBot Grades Home Run Props
A home run prop is one of the highest-variance bets in baseball, so the edge is never about certainty — it is about price. PropsBot models each hitter’s probability of going deep from batted-ball quality (hard-hit rate, barrels, exit velocity), the opposing pitcher, and the park, then compares that modeled probability to the best available anytime-home-run odds. When the model’s number implies a shorter price than the book is posting, there is value. Every player below is ordered by that modeled probability.
Today’s Best MLB Home Run Bets
Willson Contreras to Hit a Home Run (at CWS · vs Noah Schultz (L), 7:40 PM ET)
Contreras tops the home run board at a 17.1% modeled probability — the best number on the slate — and the market is well behind it at +388 (an implied 20.5% would be needed to break even, but the fair price sits far shorter). He is flagged DUE (+56) with a 3.4% lean, and the profile backs it: 20 home runs on the season, nine barrels over his last 14 games and a 78.2 hard-hit rating, all in a neutral park against White Sox left-hander Noah Schultz.
| HR model probability | 17.1% |
| Best odds | +388 (Novig) |
| Barrels, last 14 | 9 |
| Hard-hit rating (14) | 78.2 |
| Home runs, season | 20 |
| Park factor | 1.00 (neutral) |
Miguel Vargas to Hit a Home Run (vs BOS · vs Payton Tolle (L), 7:40 PM ET)
Vargas is a near-mirror of Contreras on the other side of the same Chicago matchup, carrying a 16.5% modeled home run probability at +326. He also has 20 home runs on the year, and while his profile grades a touch behind Contreras (a 73.9 hard-hit rating and six barrels over his last 14), the price still lags the model. The lean here is smaller (1.8%, tagged as a stingy spot) against Boston lefty Payton Tolle, so it is the value play rather than the volume play.
| HR model probability | 16.5% |
| Best odds | +326 (Novig) |
| Barrels, last 14 | 6 |
| Hard-hit rating (14) | 73.9 |
| Home runs, season | 20 |
| Park factor | 1.00 (neutral) |
Garrett Mitchell to Hit a Home Run (at STL (R), 2:15 PM ET)
Mitchell is the long-shot dart on the board: an 8.2% modeled probability priced at +620 at DraftKings. The model is lower on him than the two Chicago bats — fewer season home runs (8) and a suppressive 0.87 park factor in St. Louis work against him — but the recent power is loud, with six barrels in his last seven games on a board-best 79.0 hard-hit rating. At +620, it is a small-stake, high-ceiling number rather than a core play.
| HR model probability | 8.2% |
| Best odds | +620 (DraftKings) |
| Barrels, last 7 | 6 |
| Hard-hit rating (14) | 79.0 |
| Home runs, season | 8 |
| Park factor | 0.87 (pitcher-friendly) |
Reading the Home Run Board
Contreras and Vargas are the model-and-market plays — double-digit modeled probabilities at prices the book has set too long. Mitchell is the ceiling dart, a small-stake number where the recent power is real but the sample and the park say size it down. Home run props are volatile by nature; the value is in taking the ones the market has mispriced, not in expecting any single swing. PropsBot grades the full board every day at app.propsbot.ai.
Frequently Asked Questions
What is the best home run bet today?
On July 7, 2026, PropsBot’s top home run value is Willson Contreras at +388, carrying a 17.1% modeled probability — the highest on the board — against White Sox lefty Noah Schultz. Miguel Vargas (16.5%, +326) and Garrett Mitchell (8.2%, +620) round out the best three.
How does PropsBot pick home run props?
PropsBot models each hitter’s home run probability from batted-ball quality (hard-hit rate, barrels, exit velocity), the opposing pitcher and the ballpark, then compares that probability to the best available anytime-home-run odds. A prop shows value when the modeled probability implies a shorter price than the sportsbook is offering.
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