TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 9:40 AM EST
Kalshi
This group forecasts the halftime result of the Aldershot Town FC vs. Yeovil Town FC soccer match scheduled for September 15, 2026. Markets exist for Aldershot leading, Yeovil leading, or a draw at halftime, all determined by the score after 45 minutes plus stoppage time.
In the upcoming National League game between Aldershot Town FC and Yeovil Town FC, scheduled for September 15, 2026 at 2:45 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
The event covers the professional English National League soccer match between Southend and Yeovil scheduled for September 5, 2026, resolving based on the result after 90 minutes plus stoppage time. Three distinct outcomes are possible: Southend win, Yeovil win, or a tie. If the match concludes with either team securing a victory within regular time, the corresponding market will resolve to Yes. Should the game end in a tie, the Tie market will resolve accordingly. In cases where the match is cancelled or rescheduled to more than 48 hours beyond the original date, the market will resolve to a fair price as determined by the governing rules. The event explicitly excludes outcomes determined by extra time or penalty shootouts, focusing solely on the result within the standard match duration.
Prices for the Aldershot vs. Yeovil halftime result may differ between Polymarket and Kalshi due to several factors. 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 a different user base with varying levels of expertise and access to information, leading to distinct market interpretations. Trading volume also plays a role; lower volume on one platform can result in greater price volatility. Furthermore, the specific mechanisms for order execution and fee structures on each platform can contribute to price discrepancies. These differences are normal and reflect the dynamic nature of prediction markets.