TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 30, 9:31 PM EST
Kalshi
This market tracks whether Leeds United will win the professional Club Friendlies soccer match against Sunderland AFC on July 30, 2026, after 90 minutes plus stoppage time. The aggregated consensus probability for Leeds United to win is 100.0%, while Sunderland AFC has a 0.1% chance. Data is aggregated from Polymarket and Kalshi, with resolution based on official statistics from the governing body or event organizers. Watch the match on July 30, 2026, as this is the event that will determine the outcome.
This event is for the upcoming Club Friendlies game, scheduled for Thursday, July 30, 2026 between Leeds United and Sunderland AFC.
The event determines the winner of a professional Club Friendlies soccer match between Leeds United and Sunderland scheduled for July 30, 2026. The market resolves based on the result after 90 minutes plus stoppage time, not including extra time or penalties. Three distinct outcomes are possible: Leeds United win, Sunderland win, or a tie. If the match is cancelled or rescheduled to more than two weeks beyond the original date, the market resolves to a fair price. Kalshi explicitly states it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
On Polymarket and Kalshi, prices can vary because of differing user bases, liquidity conditions, and market design. 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. For example, one platform might attract more international traders who weigh global fan sentiment differently, while another could reflect domestic betting patterns. These factors combine to create unique probability curves. Additionally, each venue may experience uneven volume distribution, amplifying small shifts in trader sentiment and leading to temporary mispricings between the two.