TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 29, 9:40 PM EST
Polymarket
In the upcoming MLB game between the San Francisco Giants and Arizona Diamondbacks, scheduled for June 29 at 9:40PM ET: This market will resolve to "San Francisco Giants" if the San Francisco Giants win the game. This market will resolve to "Arizona Diamondbacks" if the Arizona Diamondbacks 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.
In the upcoming MLB game between the San Francisco Giants and Arizona Diamondbacks, scheduled for June 29 at 9:40PM ET: This market will resolve to "San Francisco Giants" if the San Francisco Giants win the game. This market will resolve to "Arizona Diamondbacks" if the Arizona Diamondbacks 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 market odds and sportsbook odds often diverge because they reflect different pricing mechanisms. Sportsbooks set lines to balance action and manage risk, while prediction markets like Polymarket price outcomes through direct trader participation and supply-demand dynamics. Prediction markets can sometimes offer sharper, more efficient pricing since traders have direct financial incentive to identify mispriced outcomes. However, sportsbooks may adjust faster to breaking news or late-game developments. Comparing the two can reveal where market consensus differs from professional oddsmakers, though both aim to reflect true probability.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The top outcome currently reflects strong trader conviction, with pricing that adjusts continuously as new trades flow in. Each share represents a claim on the outcome, and the price you see is the marginal cost to buy or sell at that moment. Higher prices indicate greater perceived likelihood, while lower prices suggest lower probability. This mechanism ensures prices stay responsive to new information and trader sentiment throughout the event window.
This market resolves around Jul 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect what actually occurred during the game, verified against authoritative sports data sources. Until that point, prices may fluctuate based on live game developments, injury reports, or shifting trader expectations. Once the event concludes and the result is confirmed, the market settles and traders receive payouts based on their positions.
Several factors could shift prices before this market resolves. Lineup announcements, injury updates to key players, or weather conditions at game time often trigger significant moves. Recent team performance, head-to-head matchup history, and betting line movements from major sportsbooks can also influence trader positioning. Breaking news about roster changes or coaching decisions may prompt repricing. Additionally, as game time approaches, traders may adjust positions based on refined probability estimates. Live game action itself—early runs, momentum shifts, or unexpected developments—will drive real-time price changes throughout the event.