TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 9, 2:32 PM EST
Kalshi
This market focuses on predicting the outcome of a professional soccer match between Grosseto and Latina, specifically whether the game will end in a win for either team within the standard 90 minutes plus stoppage time. The resolution depends solely on the result after regulation time, excluding any extra time or penalty shootouts. If the match is tied after regulation, a separate market addresses that scenario.
The event determines the winner of the Grosseto vs Latina professional Coppa Italia Lega Pro soccer game scheduled for September 9, 2026, based exclusively on the result after 90 minutes of regulation time plus any stoppage time, without considering extra time or penalty kicks. Three distinct outcomes are possible: a win for Grosseto, a win for Latina, or a tie. If the match concludes with either team securing a victory within regulation time, the corresponding market resolves to Yes. Should the game end in a tie after regulation, the Tie market resolves to Yes. In the event the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform’s rules. The markets operate independently of official league affiliations, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs. If a significant number of traders believe a sportsbook is mispricing an outcome, they can trade in a way that pushes the prediction market odds closer to their assessment of the true probability. It’s a dynamic comparison, as both sets of odds adjust as new information emerges.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy contracts for a particular outcome, its price increases, while selling pressure lowers the price. This creates a dynamic pricing mechanism that aggregates the collective intelligence of the traders on Kalshi, offering a real-time assessment of the likely result of the Grosseto vs Latina match.
Several factors could influence trading activity and shift the odds in this market. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly impact perceptions of each team's chances. Match previews from reputable sports analysts, or even significant shifts in public sentiment, can also drive trading volume and price fluctuations. Furthermore, real-time updates during the match itself, such as early goals or red cards, would likely cause rapid adjustments in the market price as traders react to the unfolding events.