TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
In the upcoming Copa del Rey game between RS Gimnástica de Torrelavega and UD Ourense, scheduled for October 28, 2026 at 3:30 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 Copa del Rey game between RS Gimnástica de Torrelavega and UD Ourense, scheduled for October 28, 2026 at 3:30 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.
Currently, prediction market odds often reflect a different perspective than those found at traditional sportsbooks. Sportsbooks typically incorporate a 'vig' or commission into their odds, aiming to profit regardless of the outcome. This market, however, is driven purely by the collective predictions of traders, potentially leading to more accurate probabilities, especially as the event approaches. Discrepancies can arise due to differing information sources, risk assessments, or simply varying levels of public attention. It’s common to see prediction markets move faster to incorporate new information than sportsbooks.
This market resolves around Oct 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the halftime result of the RS Gimnástica de Torrelavega versus UD Ourense match will be used to determine the winning share. The outcome will be determined by which team, if any, is leading at the end of the first half of the match. A draw at halftime will also be a valid outcome for this market.
Several factors could influence the price movement of this market. Any news regarding team injuries, changes in player lineups, or tactical adjustments announced by either RS Gimnástica de Torrelavega or UD Ourense could shift trader sentiment. Unexpected weather conditions on match day, or even significant pre-match analysis from sports commentators, could also play a role. Furthermore, large trading volume from informed participants could quickly alter the probabilities reflected in this market, especially as the kickoff time approaches.