TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

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%

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San Diego vs Chicago C
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Who will win San Diego vs Chicago C?

Volume:
$2,442,802

Chicago C

 - Kalshi

Chicago C - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 5:04 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Chicago C

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,205,353
N/A
N/A
$788,904
Settled
Yes
kalshi

San Diego

0%
Yes 0¢No 100¢
100¢
N/A
$1,237,449
N/A
N/A
$832,486
Settled
No
Total markets: 2

Intro

This market tracks whether the San Diego Padres will defeat the Chicago Cubs in their scheduled matchup. On Kalshi, San Diego winning stands at 97.0%, while Chicago winning is at 3.0%. The market resolves based on the official result of the professional baseball game originally scheduled for July 1, 2026 at 2:20 PM EDT. Watch for the game outcome on July 1, 2026, which will determine the final resolution.

Kalshi

This event covers a professional baseball game between San Diego and Chicago C originally scheduled for July 1, 2026 at 2:20 PM EDT. Resolution is determined by the final outcome of the game as played. If the game is postponed or delayed, the market remains open and resolves after the rescheduled game concludes, provided the reschedule occurs within two days of the original date. Should the game be cancelled entirely or rescheduled to more than two days after the original date, the market resolves to a fair price in accordance with standard resolution procedures rather than based on actual game results.

Frequently asked questions

On Kalshi, the dashboard for the San Diego vs Chicago matchup displays real-time odds and price movements as traders buy and sell shares tied to the game's outcome. You can monitor the current implied probability for each team, review historical price charts, and track 24-hour trading volume to gauge market interest and liquidity. The interface updates continuously during the market's active period, allowing you to see how sentiment shifts as new information emerges. This snapshot helps you understand which outcome traders currently favor and how conviction has evolved over time.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one aggregate the collective beliefs of traders risking real capital on outcomes. Prediction markets typically incorporate information more dynamically and can react faster to breaking news or injury reports. Comparing the two can reveal where professional oddsmakers and decentralized traders disagree, sometimes highlighting value or consensus shifts that haven't yet been priced into traditional sports betting.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each possible outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the marginal probability traders assign to that result, with the bid-ask spread representing the gap between buyers and sellers. As new trades execute, prices adjust instantly to reflect updated expectations. This mechanism ensures transparent, real-time pricing and allows you to enter or exit positions at market rates or set limit orders to trade at your preferred price levels.

This market resolves around Jul 1, 2026, once the game concludes and the final result is verified against credible public sources. The outcome is determined by the official score and result recorded by the relevant sports league and confirmed through established sports reporting. Until that point, traders can continue to buy and sell shares as odds fluctuate. Resolution is automatic once the event is complete and the data is confirmed, ensuring all positions settle fairly based on the actual game outcome.

Key catalysts include player injuries or roster changes announced before game day, which can significantly shift perceived team strength. Weather conditions, travel schedules, and rest advantages may also influence trader positioning. Breaking news about team performance, coaching decisions, or recent form can trigger rapid repricing. As the game approaches, increased media coverage and expert commentary often drive volume spikes. During the contest itself, live scoring updates and momentum swings will cause continuous price adjustments. Any unexpected developments—trades, suspensions, or venue changes—can move this market sharply as traders reassess probabilities in real time.