TOTAL VOLUME:
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2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 4:11 PM EST
Kalshi
Bettors predict the run differential between the two teams in their July 9 matchup. These markets allow wagering on whether one team wins by more than specific run margins.
This event encompasses run spread outcomes for the professional baseball game scheduled for July 9, 2026 at 6:35 PM EDT. Baltimore outcomes resolve Yes if Baltimore wins by more than 3.5, 2.5, or 1.5 runs respectively. Chicago outcomes resolve Yes if Chicago wins by more than 1.5, 2.5, or 3.5 runs respectively. Each threshold is independent; a team winning by a larger margin automatically satisfies all smaller margin thresholds. Resolution is based on the final official game score.
Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets derive prices from continuous trading among participants with varying information and risk appetites. This market's odds may lead or lag traditional sportsbook spreads depending on where informed traders concentrate their capital. Comparing the two can reveal whether public perception or sharp money is pricing in different outcomes for the game.
On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the marginal trade—the last executed transaction—and moves as new orders flow in. Traders who believe the Cubs will beat the spread by a larger margin buy shares at higher prices, while those expecting Baltimore to stay closer or win outright sell. Liquidity and trading volume directly influence how tightly the bid-ask spread stays and how quickly prices adjust to breaking news or lineup changes.
Key catalysts include injury announcements to star players, bullpen availability, recent team form, and weather conditions on game day. Lineup changes, trades, or unexpected roster moves can shift trader expectations about offensive and defensive capability. Breaking news about pitcher matchups or home-field advantage factors often triggers sharp repricing. As the game approaches, public betting patterns and sportsbook line movements may also influence prediction market prices, especially if sharp money disagrees with the consensus.