TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 25, 7:35 PM EST
Kalshi
This market resolves Yes if both New York RB and Charlotte score at least one goal during the first half of their MLS match on July 25, 2026. Only goals scored before halftime are counted.
If New York RB and Charlotte both score a goal in the 1st Half of the New York RB vs Charlotte MLS match originally scheduled for Jul 25, 2026, 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 protect their margins, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. For this market, prediction market participants may price in nuanced team dynamics, injury reports, and historical first-half scoring patterns that sportsbooks adjust more slowly. Comparing the two can reveal where informed traders see value relative to traditional betting lines.
On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks to buy or sell shares representing the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the most recent matched trade, and as new information emerges—team news, weather, or betting patterns—traders adjust their orders, moving the odds up or down. This dynamic pricing model means the market can respond quickly to breaking developments before the first half kicks off.
This market resolves around Jul 26, 2026, once the first half of the New York RB versus Charlotte game concludes. The outcome is determined by whether both teams score at least one goal during that period, verified against credible public sources such as official league records or major sports data providers. Once the result is confirmed, the market settles automatically and traders receive their payouts based on their position.
Several factors can shift odds in this market before kickoff. Injury announcements to key offensive or defensive players, lineup changes, or weather updates affecting field conditions may alter scoring expectations. Team form, recent head-to-head results, and public betting patterns can also influence trader sentiment. As game time approaches, late-breaking tactical news or roster adjustments often trigger sharp moves. Monitoring team social media, official injury reports, and pre-game commentary helps traders stay ahead of price shifts.