TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 15, 3:10 PM EST
Kalshi
This event group covers various betting markets for the upcoming La Liga 2 soccer match between Córdoba CF and Girona FC, focusing on total corners taken, corners by each team, and related statistics within the first 90 minutes plus stoppage time.
Total corners markets for the La Liga 2 game between Córdoba CF and Girona FC, scheduled for August 21, 2026 at 3:00 PM ET.
The event determines the winner of the Oviedo vs Granada professional La Liga 2 soccer match scheduled for August 15, 2026, based solely on the result after 90 minutes plus stoppage time, excluding extra time or penalty shootouts. Three distinct outcomes are possible: Oviedo win, Granada win, or a tie. If the match ends in a tie after regulation time, the 'Tie' market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, the markets will resolve to a fair price as determined by the platform. The platform explicitly states it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
Prediction market odds on this market often differ from traditional sportsbook lines because they reflect real-time trader sentiment and can adjust more rapidly. While sportsbooks set fixed or slowly updated over/under lines, prediction markets price in new information as it emerges — like team news or weather updates. This creates potential edges where market odds diverge from sportsbook probabilities, offering alternative ways to evaluate the expected corner count.
On Polymarket and Kalshi, pricing can vary due to differences in user bases, liquidity, and how each platform’s community evaluates match dynamics. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For example, one venue might attract more local fans who expect aggressive play, skewing its odds. Trading volume and recent bets also shape prices uniquely on each site. Additionally, each platform’s fee structure can influence how traders place orders, leading to small but meaningful gaps between the two markets. These factors combined mean that Polymarket and Kalshi often show distinct implied probabilities for this market.