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: Jul 9, 5:10 PM EST
Predict
This event group covers a single MLB game between the Boston Red Sox and Chicago White Sox scheduled for July 9, 2026 at 2:10 PM EDT. The Predict platform offers a binary moneyline market (Red Sox win vs. White Sox win), while Kalshi offers spread-based markets covering multiple run-differential thresholds (±1.5, ±2.5, ±3.5 runs). These represent fundamentally different market structures and settlement criteria.
Resolution is determined by the final run differential in the Boston vs Chicago White Sox game originally scheduled for July 9, 2026 at 2:10 PM EDT. Chicago White Sox outcomes resolve Yes if Chicago wins by more than the specified margin (more than 3.5 runs, more than 2.5 runs, or more than 1.5 runs). Boston outcomes resolve Yes if Boston wins by more than the specified margin (more than 1.5 runs, more than 2.5 runs, or more than 3.5 runs). The official final score determines which team wins and by how many runs.
In the upcoming MLB game between the Boston Red Sox and Chicago White Sox, scheduled for July 9 at 2:10PM ET: This market will resolve to "Boston Red Sox" if the Boston Red Sox win the game. This market will resolve to "Chicago White Sox" if the Chicago White Sox win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resolution source for this market is the official final statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 24 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Prediction markets like Kalshi and Predict operate on peer-to-peer trading rather than fixed odds set by a sportsbook. Instead of a bookmaker adjusting lines for margin, traders here buy and sell shares directly, with prices reflecting aggregate belief about the outcome. This often produces tighter, more efficient pricing because traders have real money at stake and can arbitrage across platforms. Sportsbooks, by contrast, build in juice and manage liability. For this market, comparing prediction prices to major sportsbook spreads can reveal whether one side is undervalued—a key edge for informed bettors.
Kalshi and Predict use different contract designs and trader populations, which naturally creates pricing gaps. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Kalshi may frame the outcome as a binary on the Red Sox versus the White Sox, while Predict structures it as a yes/no on a specific run margin (e.g., Chicago wins by over 2.5 runs). Liquidity, fee structures, and regulatory constraints also vary between platforms. These differences mean arbitrage opportunities can exist; a trader spotting a gap can profit by buying low on one platform and selling high on the other, gradually pushing prices toward equilibrium.