| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Cal Raleigh: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cal Raleigh: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cal Raleigh: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Naylor: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Josh Naylor: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| José Ramírez: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| José Ramírez: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julio Rodríguez: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julio Rodríguez: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kyle Manzardo: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kyle Manzardo: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Randy Arozarena: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Randy Arozarena: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Steven Kwan: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Naylor: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Naylor: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayan Rocchio: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brendan Donovan: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brendan Donovan: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Kayfus: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| CJ Kayfus: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chase DeLauter: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Chase DeLauter: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cole Young: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cole Young: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dominic Canzone: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dominic Canzone: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gabriel Arias: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Gabriel Arias: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Leo Rivas: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Raley: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luke Raley: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rhys Hoskins: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rhys Hoskins: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many home runs will be hit in the Cleveland vs Seattle matchup. It matters because home runs are a volatile, game-moving event that heavily influence scoring and in-play betting.
The market is framed around a single MLB game between Cleveland and Seattle and offers multiple mutually exclusive outcomes covering different home-run totals. Historical matchups, current rosters, pitcher-usage patterns, and ballpark tendencies all shape expectations for the game-level home-run count.
Market prices reflect traders’ collective expectations about the number of home runs; movements show how new information (lineups, weather, starting pitchers) is being incorporated. Use prices as a real-time signal of changing beliefs rather than an absolute forecast.
The 14 discrete outcomes correspond to mutually exclusive home-run total ranges or exact counts for this specific game (e.g., 0, 1, 2, … and a high-end bin). Check the market page description for the precise mapping of outcomes to totals.
The close time is listed as TBD on the page; the market will typically close at a platform-specified cutoff (often around first pitch) and settle using the official box score and league rules once the game is official.
Monitor each team’s primary power hitters, recent home-run leaders, and any pinch-hit candidates, plus the announced starting pitchers. Late scratches, lineup swaps, or a star returning from injury can materially change expectations.
Starting pitchers influence expected home-run totals through their HR/9, flyball rate, pitch velocity and movement, and platoon performance; a high-contact, low-K starter tends to raise home-run risk, while high-K or groundball pitchers tend to suppress it.
First confirm which stadium is hosting the game on the market page. Then consider park dimensions and typical homer-friendliness, plus wind direction, temperature, and humidity forecasts—conditions that push the ball carry can increase the chance of homers.