TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
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San Diego vs Kansas City
kalshi

Who will win San Diego vs Kansas City?

Volume:
$1,486,633

San Diego

 - Kalshi

San Diego - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 19, 2026

Closed: Jul 19, 5:14 PM EST

kalshi

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

San Diego

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,076,422
N/A
N/A
$648,675
Settled
Yes
kalshi

Kansas City

0%
Yes 0¢No 100¢
100¢
N/A
$410,211
N/A
N/A
$298,309
Settled
No
Total markets: 2

Description

A professional baseball game between the San Diego Padres and Kansas City Royals scheduled for July 19, 2026 at 2:10 PM EDT. The outcome will be determined by which team wins the game.

Kalshi

This event covers the San Diego vs Kansas City professional baseball game originally scheduled for July 19, 2026 at 2:10 PM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled to more than two days away, the market resolves to a fair price in accordance with the rules.

Frequently asked questions

The Kalshi dashboard for the San Diego vs Kansas City matchup displays real-time odds and price movements as traders position themselves on the outcome. You can monitor 24-hour volume of $1,474,862 and total volume of $1,486,633 to gauge market activity and conviction. The interface shows how odds shift in response to team news, injury reports, and betting patterns leading up to game time. Historical price charts help you identify trends and compare current market sentiment to earlier trading sessions, giving you a complete view of how this matchup is being priced by the prediction market community.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders who have real money at stake on outcomes. This market's odds represent a crowdsourced forecast from participants who profit by predicting accurately. Comparing the two can reveal where the broader betting public differs from prediction market traders, though both sources offer valuable signals for understanding how the matchup is perceived.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The bid-ask spread reflects the current balance of supply and demand, tightening when volume is high and widening during quieter periods. As new information emerges—team roster updates, weather conditions, or public sentiment shifts—traders adjust their positions, which moves the price. You can enter limit or market orders to trade at your preferred price, and the market's price discovery process ensures odds stay aligned with real-time expectations.

This market resolves around Jul 19, 2026, once the event concludes and the result is verifiable from credible public sources. The outcome is determined by the final result of the matchup itself, confirmed through official reporting. Until that time, prices will fluctuate based on new developments, team performance data, and trader sentiment. Resolution is automatic once the event is finalized, and all positions settle according to the confirmed outcome.

Key catalysts for this market include injury announcements, roster changes, and recent team performance trends. Weather forecasts, home-field advantage factors, and head-to-head historical matchups can also shift trader positioning. Public statements from coaches or players, betting line movements at major sportsbooks, and social media sentiment may influence how traders reassess their odds. Trading volume spikes often accompany breaking news, so monitoring activity patterns can help you anticipate price moves. Close to game time, final lineup confirmations and last-minute tactical adjustments typically drive the most significant repricing.