| 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 asks how many total runs will be scored in the Colorado vs Miami game; it matters because total-run expectations combine pitching matchups, ballpark effects, and game-day conditions that bettors trade on.
Colorado and Miami have contrasting run environments depending on venue: Colorado’s home park has historically amplified offense, while Miami’s home park often suppresses runs. Year-to-year roster changes, pitching health, and weather can shift that baseline quickly, so recent lineup and starter news are especially relevant for this market.
Market prices reflect the crowd’s aggregated expectation for the game’s combined run total and will move as new information arrives (starter announcements, weather, injuries). Use prices as a shorthand for market consensus while monitoring news that can change expected scoring.
The market resolves to the official combined runs scored by both teams as recorded when the game is completed. Exact resolution timing and whether extra innings count depend on the event rules on the platform, so check the KALSHI event page for the official resolution policy.
Movement is typically driven by announced starting pitchers (and any late scratches), home ballpark (altitude and dimensions), weather and wind forecasts, updates to each team’s batting order or injuries, and bullpen availability or recent performance.
Starter announcements are usually the largest single driver: an ace or high-strikeout starter for either side tends to lower expected total runs, while a less experienced or hittable starter tends to increase them. Handedness and batter matchups also shift expectations once lineups are known.
Resolution depends on the platform’s rules: many markets count all runs through the official completion of the game (including extra innings) unless the event specification says otherwise; postponed or indefinitely suspended games may lead to voiding or rule-based extension—consult the event terms for this KALSHI market.
Head-to-head history can provide context but is often a small sample and affected by different venues and roster changes; prioritize recent team run rates, park splits, current pitching matchups, and injury status over long-ago matchups when forming a trade view.