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 17, 3:16 PM EST
Polymarket
This group encompasses a series of prediction markets centered around the total number of corner kicks taken in a La Liga match between Real Betis Balompié and FC Barcelona on October 17, 2026. Markets include over/under bets on total corners, first/second half corners, and team-specific corner counts.
Total corners markets for the La Liga game between Real Betis Balompié and FC Barcelona, scheduled for October 17, 2026 at 12:30 PM ET.
Total corners markets for the La Liga game between Real Betis Balompié and FC Barcelona, scheduled for October 17, 2026 at 12:30 PM ET.
Prediction market odds, like those found on Polymarket and Predict, often reflect a wisdom-of-the-crowd effect, potentially offering a more accurate forecast than traditional sportsbook odds. Sportsbooks set lines to balance action and ensure profit, while prediction markets incentivize participants to express their true beliefs. This can lead to differences, especially when public sentiment diverges from expert analysis. However, arbitrage opportunities may exist where discrepancies arise, allowing traders to profit by betting on both platforms. The efficiency of this market is driven by the volume of $12,720.
Prices on Polymarket and Predict for the Real Betis vs Barcelona corners market can diverge due to several factors. 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. Each platform has a different user base with varying levels of expertise and access to information. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific mechanisms for trading and risk management differ between Polymarket and Predict, influencing how traders assess and price the probability of different outcomes. These factors contribute to the observed price discrepancies.