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 31, 4:22 PM EST
Kalshi
This event tracks the total number of goals scored in a soccer match between Crawley and Reading. It evaluates various thresholds of goal counts to determine the outcome. The focus is on predicting offensive performance in a friendly match setting.
The event assesses multiple thresholds for the total goals scored in the Crawley vs Reading professional Club Friendlies soccer match scheduled for July 31, 2026. All markets resolve based on the total goals scored after 90 minutes plus stoppage time, excluding extra time or penalties. Each market corresponds to a specific numerical threshold (e.g., over 0.5, 1.5, 2.5, etc.), with the market resolving to 'Yes' if the actual goals exceed that threshold. The governing rules emphasize that Kalshi is not affiliated with the league, and all trademarks remain property of their respective owners. The consistent secondary rule across all markets reinforces the disassociation from official league governance and trademark ownership.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders actively set prices through buying and selling contracts that represent possible outcomes. The current odds reflect the aggregated expectations of all participants on the platform. As new information emerges — such as player injuries or weather conditions — these prices can shift rapidly, capturing the evolving sentiment of the trading community.
This market resolves around Jul 31, 2026, with the outcome confirmed once the match result is verifiable from credible public reporting. The final tallies will determine which side of this market is settled as the winner, based on the officially recorded statistics from the game. Timing is tied directly to the match’s conclusion and subsequent data publication.
Injuries to key players, weather updates affecting match conditions, and tactical changes by coaches can all influence this market. Additionally, early goal scoring or momentum shifts during the match may cause rapid price adjustments. Media reports and expert commentary leading up to the game can also impact trader sentiment, creating volatility in the market as new information is incorporated.