| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 1.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 5.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 6.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 7.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 8.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 9.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 10.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 11.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the combined total number of runs scored by the New York Mets and the San Francisco Giants during their upcoming matchup. It allows participants to speculate on the overall offensive output of both teams in a single game.
High-scoring games in baseball are often dictated by starting pitching matchups, the dimensions of the ballpark, and prevailing weather conditions. Historical trends between these two franchises provide insight into their offensive efficiency and defensive consistency. Analyzing recent bullpen performance is also essential, as late-inning relief can significantly shift the total run count.
Market participants use these outcomes to price the consensus expectation for total scoring based on team statistics and historical head-to-head performance.
The total is the simple sum of all runs scored by both the New York Mets and the San Francisco Giants throughout the duration of the game, including any extra innings.
Runs scored in extra innings count toward the total, as the market covers the entirety of the regulation and extended play.
If the game is declared an official result by the league despite being shortened, the total runs recorded at the time of the final out will be used to determine the outcome.
Injuries to key hitters or starting pitchers can significantly influence the expected run production and volatility of a game, often shifting expectations for the total score.
Historical trends serve as a starting point, but individual game outcomes are primarily driven by the specific starting pitchers slated for the contest and the current offensive form of both rosters.