TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 15, 5:02 PM EST
Kalshi
This group forecasts the outcome of the English National League soccer match between Sutton United FC and Eastleigh FC, scheduled for September 15, 2026. Markets exist for Sutton United winning, Eastleigh United winning, and the game ending in a draw.
This event is for the upcoming National League game, scheduled for Tuesday, September 15, 2026 between Sutton United FC and Eastleigh FC.
The event resolves based on the result of the Sutton vs Eastleigh professional English National League soccer match originally scheduled for September 15, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Sutton wins, the 'Sutton' market resolves to Yes; if Eastleigh wins, the 'Eastleigh' market resolves to Yes; and if the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, the markets will resolve to a fair price as determined by the platform. The event exclusively considers the result within regular time and stoppage time, with no account for extended play or penalty decisions.
Prediction market odds, like those found for this market, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set odds based on their own analysis and incorporate a profit margin, while prediction markets are driven by the collective predictions of many individuals. This can lead to more accurate probabilities, as the 'wisdom of the crowd' tends to be less biased. However, sportsbook odds are often more readily available and may offer different betting options. It’s valuable to compare both to gain a comprehensive understanding of the potential outcomes.
Prices on Polymarket and Kalshi for the Sutton United vs. Eastleigh match can diverge 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 risk appetites and information advantages, leading to differing opinions on the probability of each outcome. Trading fees and platform-specific rules can also contribute to price discrepancies. Furthermore, the volume traded on each platform influences price discovery; a market with higher volume tends to have more efficient pricing. These factors combine to create potentially different probabilities for the same event across the two venues.