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%
Closed: Jul 12, 4:29 PM EST
Kalshi
This market tracks whether any run is scored during the opening inning of the Colorado versus San Francisco Major League Baseball game scheduled for July 12, 2026. The outcome depends on offensive production in the first inning only.
If either team scores a run in the first inning of the Colorado vs San Francisco professional baseball game originally scheduled for Jul 12, 2026 at 4:05 PM EDT, then the market resolves to Yes.
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 aggregate trader beliefs through continuous price discovery. This market may show higher or lower implied probabilities than traditional sportsbooks depending on whether informed traders believe the consensus is mispriced. Comparing the two can reveal where sharp money sees value relative to conventional betting lines.
On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing yes or no outcomes. 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 collective probability estimate, ranging from near zero to near one hundred. As new information emerges or trader conviction shifts, bids and asks adjust in real time, allowing the market to continuously reprice the likelihood of a first-inning run before the game starts.
This market resolves around Jul 12, 2026, once the game concludes and the first inning result is verified. The outcome is determined by whether either team scores at least one run during the opening inning. Resolution is confirmed against credible public sources such as official league records or major sports data providers, ensuring accuracy and fairness for all traders.
Key catalysts include lineup announcements, starting pitcher confirmations, and recent offensive or defensive performance trends for both teams. Weather conditions at game time—wind speed, temperature, and humidity—can significantly affect scoring likelihood. Injury updates to key batters or pitchers, bullpen availability, and head-to-head matchup history may also shift trader expectations. Breaking news about player availability or field conditions in the hours before first pitch can trigger sharp repricing as new information enters the market.