| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Carlos Correa: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carlos Correa: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Walker: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Christian Walker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jo Adell: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jo Adell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Soler: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Soler: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jose Altuve: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jose Altuve: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mike Trout: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mike Trout: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nolan Schanuel: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nolan Schanuel: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yordan Alvarez: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yordan Alvarez: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brice Matthews: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brice Matthews: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cam Smith: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cam Smith: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Isaac Paredes: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Isaac Paredes: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jeremy Peña: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jeremy Peña: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Lowe: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Lowe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan O'Hoppe: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan O'Hoppe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oswald Peraza: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oswald Peraza: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yainer Diaz: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yainer Diaz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yoán Moncada: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yoán Moncada: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Neto: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Neto: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many home runs will be hit in the Los Angeles A vs Houston matchup, across a set of 16 possible outcomes. It matters because home-run outcomes concentrate the game’s run-scoring variance and drive many in-play and pregame betting decisions.
The market sits on a single scheduled baseball game between the two named clubs and breaks the possible home-run totals into distinct outcome buckets or team-specific totals. Historical tendencies — park dimensions, usual pitching staffs, and recent lineup construction — shape expectations, but those factors can shift quickly with roster moves, weather, or late scratches. Because this market has 16 outcomes, it is likely offering granular ranges (e.g., exact totals or over/under bands) rather than a simple binary result.
Odds on this market reflect traders’ aggregated expectations for how many long balls will be hit in this specific game; they update as new information (starting pitchers, weather, lineups) becomes available. Use the market odds as a dynamic consensus signal, not a guarantee, and compare them with your own assessment of the factors below.
The 16 outcomes typically cover a range of possible home-run totals — they may include exact total buckets, team-specific totals, or 'at least N' style outcomes. Consult the market page for the exact listed outcomes and payout structure for this event.
The market closing time is listed as TBD; markets of this type commonly close at or just before the scheduled first pitch or when lineups/pitchers are locked. Check the event page for the final close time and any updates from the exchange.
Starting pitchers are one of the largest drivers of home-run outcomes: pitchers with higher HR/flight rates, lower groundball rates, or who give up more hard contact increase expected home-run totals. Late scratches or last-minute changes to starters can materially shift the market.
Consider the stadium’s reputation for suppressing or enhancing homers, wind direction (outfield-favoring winds can boost totals), and temperature/humidity (warmer, less dense air tends to carry the ball farther). These variables are often decisive when the matchup is otherwise close.
Historical head-to-head data can provide context but should be weighted cautiously: small samples, changes in rosters, and differing starting pitchers or park conditions mean past games may not predict the current matchup. Use historical trends alongside current pitcher, lineup, and weather information.