TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 10:19 PM EST
Kalshi
A professional baseball game between two teams scheduled for May 30, 2026 will be played, with various possible outcomes determined by the margin of victory.
Prediction market odds on Kalshi often differ from traditional sportsbook lines because they reflect trader consensus rather than bookmaker risk management. Sportsbooks adjust spreads to balance action and lock in profit margins, while prediction markets aggregate decentralized participant beliefs in real time. Comparing Kalshi pricing to major sportsbooks can reveal where informed traders see value relative to conventional betting lines for this Chicago C versus St. Louis matchup.
On Kalshi, the Chicago C vs St. Louis: Spread contract is priced between 0 and 100 based on the probability traders assign to the specified spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract reflects the collective forecast of Kalshi participants, with prices updating continuously as new trades occur. The spread outcome will resolve to either yes or no at the market's end date, and the final price discovery process on Kalshi reflects real-time demand and supply among all active traders.
The Chicago C vs St. Louis: Spread market resolves on May 31, 2026. Resolution is determined by the official final score and the specified spread criteria for this matchup. Once the game concludes and results are confirmed, the market will settle based on whether the spread outcome occurred as defined. Traders should monitor official league sources and market announcements for any clarifications on settlement timing or conditions.
Key catalysts for Chicago C vs St. Louis: Spread pricing include team roster changes, injury reports, recent performance trends, and head-to-head matchup history. Weather conditions, home-field advantage factors, and coaching decisions can also shift trader expectations. Breaking news about player availability, trades, or tactical adjustments will likely trigger repricing on Kalshi. As game day approaches, final betting action and updated analytics may accelerate price movement toward the resolution date.