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 29, 5:39 PM EST
Polymarket
More markets for the Allsvenskan game, scheduled for October 29 at 1:30 PM ET.
More markets for the Allsvenskan game, scheduled for October 29 at 1:30 PM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of forecasters, potentially differing from traditional sportsbook odds which can be influenced by factors like house bias or public perception. While sportsbooks set initial lines to balance betting action, this market allows traders to continuously adjust probabilities based on new information and analysis. Discrepancies between prediction market prices and sportsbook odds may present opportunities for arbitrage, as traders seek to capitalize on differing valuations of the same event. It’s important to compare both to gain a comprehensive understanding of expected outcomes.
This market resolves around Oct 29, 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 Hammarby IF versus IK Sirius match, specifically whether the total goals scored in the first half exceed 2.5. The platform will rely on established sports data providers to verify the final score and determine the winning outcome. Traders will then be able to claim their winnings based on their holdings in the successful outcome shares.
Several factors could influence the price of shares in this market leading up to Oct 29, 2026. Any news regarding player injuries, team formations, or changes in coaching strategies could shift trader sentiment. Unexpected weather conditions on match day could also play a role, potentially impacting the style of play and influencing scoring opportunities. Furthermore, any significant shifts in public opinion or expert analysis regarding the teams’ performance could drive trading activity and alter the implied probabilities reflected in the market. Monitoring these signals will be key to understanding potential price movements.