TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 11:14 PM EST
Kalshi
This baseball game between Arizona and San Diego on July 9, 2026 will be analyzed for total runs scored by both teams combined during the first five innings. Bettors predict whether the combined run total will exceed various thresholds during this early portion of the game.
Resolution is determined by the combined run total scored by Arizona and San Diego during the first five innings of the professional baseball game originally scheduled for July 9, 2026 at 9:40 PM EDT. Each market outcome corresponds to a specific run threshold, with resolution to Yes occurring when the combined total through five innings exceeds that threshold. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes within two days.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margins, while prediction markets like this one are driven by traders seeking profit through accurate forecasting. Sportsbooks may adjust lines more slowly or conservatively, whereas this market can respond quickly to new information, injuries, or lineup changes. Comparing the two can reveal whether public perception on a prediction platform differs from professional oddsmakers' views on the first five innings total.
On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different outcomes of the first five innings run total. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective belief of active traders, with shares trading between 0 and 100 cents. As new information emerges—such as weather updates, roster announcements, or pre-game momentum—traders adjust their positions, causing prices to move. This decentralized pricing model allows the market to discover the true probability of each outcome organically.
This market resolves around Jul 10, 2026, once the Arizona-San Diego game concludes and the first five innings are complete. The outcome is determined by the total number of runs scored by both teams combined during that five-inning window and is verified against credible public sources. Once the result is confirmed and official, the market settles automatically and traders receive their payouts based on the accuracy of their positions. The exact timing may shift slightly depending on game delays or scheduling adjustments.
Several factors can shift odds in this market before resolution. Roster announcements, such as key player injuries or last-minute lineup changes, often trigger sharp price movements. Weather forecasts—particularly wind speed and direction—can significantly impact run-scoring potential. Starting pitcher confirmations and bullpen availability also influence trader sentiment about offensive output. Breaking news about team momentum, recent offensive performance, or ballpark conditions may prompt rapid repricing. As game time approaches, the market typically tightens as uncertainty decreases and more information becomes public.