TOTAL VOLUME:
$97.4b
24H VOL:
$268,259,776
24H TRANSACTIONS:
951,878,243
OPEN INTEREST:
$2,159,026,548
830,716
Markets across
15,101
events
MATCHED EVENTS:
967
PLATFORM COVERAGE:
5
Polymarket:
45%
VS.
Kalshi:
55%
This market tracks whether the Milwaukee Brewers versus Pittsburgh Pirates game scheduled for July 10, 2026 at 6:40 PM ET will extend beyond nine innings. Across Polymarket and Kalshi, the consensus probability that the game goes to extra innings stands at 20.0%, with the Pirates favored at the spread of minus-2.5 also at 20.0%. Resolution will be determined by official MLB records. Watch for the final score and inning count as reported on MLB.com following the conclusion of play on July 10.
In the upcoming MLB game between the Milwaukee Brewers and Pittsburgh Pirates, scheduled for July 10 at 6:40PM ET: This market will resolve to "Milwaukee Brewers" if the Milwaukee Brewers win the game. This market will resolve to "Pittsburgh Pirates" if the Pittsburgh Pirates 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.
This event covers the professional baseball game between Milwaukee and Pittsburgh originally scheduled for July 10, 2026 at 6:40 PM EDT. Resolution is based on the final outcome of the completed game. If the game is postponed or delayed, the market remains open and closes 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 rules.
Prediction markets and sportsbooks price the same event differently because they operate under distinct incentive structures. Sportsbooks aim to balance action and lock in profit margins, so they adjust lines to manage liability. Prediction markets, by contrast, rely on trader capital and information flow to set prices; there is no house margin built in. This market often reflects sharper, less-biased pricing because traders risk real money on accuracy rather than volume. However, sportsbooks may move faster on breaking news. Comparing both sources gives you a fuller picture of where informed opinion stands.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity pools, and fee structures, all of which influence how prices evolve. Polymarket and Kalshi also operate under different regulatory frameworks and contract specifications, meaning the exact wording or settlement timing may vary subtly. Arbitrage opportunities can emerge when one venue lags behind the other in incorporating new information. Monitoring both helps you identify mispricings and understand which platform's trader base is more confident in a particular outcome at any given moment.
Key catalysts include injury announcements to star players, bullpen availability, recent team form, and head-to-head matchup history. Weather conditions on game day—wind speed and temperature at the stadium—can significantly impact scoring and shift trader positioning. Lineup changes, trades, or unexpected roster moves announced before first pitch will also trigger repricing. Additionally, any shift in betting action on major sportsbooks or sharp money flowing into one side can prompt rapid adjustments here. Monitor team news feeds and weather forecasts closely in the final hours.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.