TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 1:49 PM EST
Polymarket
More markets for the Hungary NB I game, scheduled for October 18 at 9:30 AM ET.
More markets for the Hungary NB I game, scheduled for October 18 at 9:30 AM ET.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on their own analysis, aiming to balance action on both sides. This market, however, allows anyone to express their belief about the outcome, leading to odds that can diverge from traditional sportsbooks as new information emerges or public sentiment shifts. It’s common to see prediction markets incorporate information faster than sportsbooks, especially regarding factors not easily quantifiable.
On Polymarket, this market is priced through a continuous trading mechanism where users buy and sell shares representing their belief in the outcome. The price of these shares directly reflects the implied probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more shares bought for a particular outcome, the higher its price rises, and vice versa. This dynamic pricing ensures the market reflects the collective intelligence of its participants regarding the Hungarian soccer match.
This market resolves around Oct 18, 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 Hungarian soccer match, as reported by a recognized sports data provider. Traders will be able to claim their winnings once the outcome is definitively known and verified. It's important to monitor the official sources for the most accurate and timely information regarding the match’s conclusion.
Several signals could influence this market before resolution. Any news regarding team injuries, changes in coaching staff, or even weather conditions could shift the perceived probabilities. Unexpected performance in prior matches, or even public statements from key players, can also impact trading activity. Major upsets in other relevant soccer leagues might also indirectly affect sentiment. Monitoring these factors closely could provide insights into potential shifts in the market for the Hungarian soccer match.