TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 12:58 PM EST
Polymarket
This group forecasts the outcome of a Serie B soccer match between SS Juve Stabia and FC Südtirol on October 18, 2026. Markets exist for Juve Stabia winning, FC Südtirol winning, and the game ending in a draw. All markets focus on the result within the first 90 minutes of play plus stoppage time.
This event is for the upcoming Serie B game, scheduled for Sunday, October 18, 2026 between SS Juve Stabia and FC Südtirol.
Markets resolve based on the full-time result of the Stabia vs Sudtirol Bolzano professional Serie B soccer match originally scheduled for October 18, 2026, after 90 minutes plus stoppage time. A 'Yes' outcome is triggered for the Stabia market if Stabia secures a victory within regular time; for the Sudtirol Bolzano market if Sudtirol Bolzano achieves a win within regular time; and for the Tie market if the game concludes with an equal score. All markets exclusively consider the result after regular time and stoppage minutes, with no account taken of extra time or penalty shootouts. Should the match be cancelled or rescheduled to more than 48 hours beyond the original date, markets will resolve at a fair price as determined per platform rules. The platform disclaims any official affiliation with the governing league, and all trademarks remain property of their respective owners.
Prediction market odds, such as those seen on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the differing incentives of participants. Sportsbooks aim to profit from setting lines, while prediction market traders are incentivized to accurately forecast the outcome. This can lead to prediction markets being more efficient at reflecting true probabilities, especially as more information becomes available. However, sportsbooks often have lower transaction costs and wider availability. It’s common to see discrepancies, particularly before significant events or when public opinion strongly favors a particular outcome in this market.
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. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific market structures and fee schedules on Polymarket and Kalshi can influence trading behavior and, consequently, prices. These differences contribute to a nuanced view of the potential outcome of the Serie B match.