TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 15, 2:45 PM EST
Predict
In the upcoming UEFA Europa League game between AC Sparta Praha and Lillestrøm SK, scheduled for October 15, 2026 at 12:45 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.
In the upcoming UEFA Europa League game between AC Sparta Praha and Lillestrøm SK, scheduled for October 15, 2026 at 12:45 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.
Generally, prediction market odds tend to be more accurate than traditional sportsbook odds, especially closer to the event. This is because prediction markets aggregate the wisdom of the crowd, incorporating a wider range of information and perspectives. Sportsbooks, while employing experts, are still subject to biases and limitations in their modeling. However, discrepancies can exist, presenting potential arbitrage opportunities for informed traders. It's important to compare this market’s implied probabilities with those offered by sportsbooks to assess potential value.
This market resolves around Oct 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the halftime result of the AC Sparta Praha vs. Lillestrøm SK match will be used to determine the winning contract. The resolution will be based on the official result declared by the governing football authorities. Traders holding the winning contract will be paid out according to the final market price at resolution.
Several factors could influence this market before resolution. Any news regarding player injuries, team lineups, or changes in coaching staff for either AC Sparta Praha or Lillestrøm SK could significantly shift expectations. Unexpected weather conditions or even pre-game analysis from respected football commentators could also impact trading activity. Furthermore, significant bets placed by large traders on Predict could cause noticeable price movements, reflecting a change in perceived probability.