TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 27, 5:46 PM EST
Kalshi
This event tracks the outcome of a professional soccer match between Hornchurch and Yeovil scheduled for October 27, 2026, in the English National League. The result will be determined after the full 90 minutes of play plus any stoppage time, excluding extra time or penalty kicks. Participants can speculate on whether Hornchurch, Yeovil, or neither team (a tie) will win the match as it concludes in regular time.
The event resolves based on the result of the Hornchurch vs Yeovil professional English National League soccer match scheduled for October 27, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Hornchurch secures a victory under these conditions, the 'Hornchurch' market resolves to Yes. If Yeovil achieves the win, the 'Yeovil' market resolves to Yes. Should the match conclude in a tie under the same conditions, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. The event exclusively considers the result of regular time, with no account for post-match deciding mechanisms such as extra time or penalty shootouts.
Prediction market odds often reflect the collective wisdom of a diverse group of participants, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs. Discrepancies can arise due to differing information, analytical approaches, or simply varying levels of confidence in a particular outcome. Comparing these odds can provide valuable insights for informed decision-making, though it’s important to remember they represent different types of forecasts.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes of the Hornchurch vs Yeovil match. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, creating a real-time assessment of the event's potential results. Traders aim to profit by accurately predicting the outcome and capitalizing on price discrepancies, which in turn influences the overall market price.
This market resolves around Oct 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Hornchurch vs Yeovil match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine which outcome corresponds to the actual event result. Traders holding contracts on the correct outcome will receive a payout, while those holding contracts on incorrect outcomes will forfeit their investment. This process ensures a transparent and objective determination of the market's outcome.
Several factors could influence the trading activity in this market before Oct 27, 2026. Any news regarding player injuries, team form, changes in coaching staff, or even weather conditions could shift the perceived probabilities of different outcomes. Unexpected announcements related to the match, such as venue changes or significant rule adjustments, could also trigger price movements. Furthermore, large trading volumes from informed participants or shifts in broader betting sentiment could impact the market, as traders react to new information and adjust their positions accordingly. Monitoring these signals can help understand potential shifts in market expectations.