TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 12:33 PM EST
Polymarket
This event group concerns the halftime result of a La Liga match between Real Sociedad and RC Deportivo A Coruña on October 11, 2026. Markets exist to predict whether Real Sociedad, RC Deportivo A Coruña, or a draw will be leading at halftime.
In the upcoming La Liga game between Real Sociedad de Fútbol and RC Deportivo A Coruña, scheduled for October 11, 2026 at 10:15 AM 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 La Liga game between Real Sociedad de Fútbol and RC Deportivo A Coruña, scheduled for October 11, 2026 at 10:15 AM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Prediction market odds, like those found on Polymarket and Predict for this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while prediction markets aggregate the views of many individual bettors. This can lead to discrepancies, especially when public sentiment strongly diverges from expert opinion. While sportsbooks may initially set odds based on team statistics and player performance, this market incorporates real-time information and collective intelligence, potentially leading to more accurate probabilities as the event approaches.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. The prices on Polymarket and Predict for the Real Sociedad vs. Deportivo halftime result can differ due to several factors. Each platform has its own user base, trading dynamics, and fee structure, all of which influence price discovery. Additionally, the liquidity and volume on each platform can vary significantly, impacting how quickly prices react to new information. Different risk appetites among traders on each platform can also contribute to price discrepancies. Finally, the specific market design and available outcomes on each platform may lead to differing interpretations and valuations of the same event.