TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 13, 12:55 AM EST
Kalshi
This event tracks home run performance by individual players in the Chicago Cubs versus San Francisco game. A home run occurs when a batter hits the ball and successfully completes a circuit around all four bases in one play, typically by hitting the ball beyond the outfield fence.
If Alex Bregman records 1+ home runs in Chicago C vs San Francisco professional baseball game originally scheduled for Jun 12, 2026 at 10:15 PM EDT, then the market resolves to Yes. If Alex Bregman records 2+ home runs in Chicago C vs San Francisco professional baseball game originally scheduled for Jun 12, 2026 at 10:15 PM EDT, then the market resolves to Yes. If Pete Crow-Armstrong records 1+ home runs in Chicago C vs San Francisco professional baseball game originally scheduled for Jun 12, 2026 at 10:15 PM EDT, then the market resolves to Yes. If Pete Crow-Armstrong records 2+ home runs in Chicago C vs San Francisco professional baseball game originally scheduled for Jun 12, 2026 at 10:15 PM EDT, then the market resolves to Yes. If Rafael Devers records 1+ home runs in Chicago C vs San Francisco professional baseball game originally scheduled for Jun 12, 2026 at 10:15 PM EDT, then the market resolves to Yes. If Rafael Devers records 2+ home runs in Chicago C vs San Francisco professional baseball game originally scheduled for Jun 12, 2026 at 10:15 PM EDT, then the market resolves to Yes.
Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one are driven by trader consensus and real-money conviction. Comparing this market's pricing to major sportsbook lines on the same event can reveal where informed traders see value or disagreement. Both sources update dynamically, but prediction markets sometimes lead sportsbooks when new information emerges, making them a useful cross-check for serious bettors.
On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks, and the spread between them reflects the current market consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from near 0 to 100, with higher prices indicating greater perceived likelihood of the outcome. As new trades execute, the midpoint shifts to reflect updated expectations. Kalshi's transparent matching engine ensures all participants see the same live pricing, and volume concentration around certain price levels often signals strong conviction among traders.
Key catalysts include lineup announcements, injury reports, weather forecasts, and recent team performance trends. A star slugger ruled out or a sudden shift to favorable hitting conditions can shift odds sharply. Bullpen changes, stadium factors, and head-to-head matchup history also influence trader positioning. As game time nears, late-breaking news—such as a starting pitcher swap or unexpected roster moves—often triggers rapid repricing. Monitoring sports news and team updates in the days leading up to the game helps traders stay ahead of market-moving developments.