TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 3:19 PM EST
Kalshi
This group forecasts the total number of corner kicks taken in a La Liga match between Real Betis and Malaga. Multiple markets exist, each predicting whether the total corners will be over or under a specific threshold. Resolution depends on official match statistics.
The market resolves to Yes if Real Betis and Malaga combined record at least 7, 8, 9, 10, or 11 corners taken during the entire game, including regulation, stoppage, and any extra time periods. Only corner kicks that are actually taken count; awarded but untaken corners do not contribute. The market has five separate outcome levels based on different corner kick thresholds.
Total corners markets for the La Liga game between Real Betis Balompié and Málaga CF, scheduled for October 31, 2026 at 1:30 PM ET.
Prediction market odds, like those found on Kalshi and Predict, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set odds to maximize profit, incorporating a margin for themselves, while prediction markets allow participants to directly trade on their beliefs. This can lead to more accurate probabilities, as the crowd collectively assesses the likelihood of various outcomes. Furthermore, prediction markets benefit from continuous updating as new information emerges, whereas sportsbook odds are typically fixed until closer to the event. This market’s pricing reflects the aggregated insight of traders.
Several signals or events could significantly move this market before it resolves. Late-breaking news regarding key players for either Real Betis or Malaga – such as injuries or suspensions impacting their attacking style – could influence predictions. Changes in weather conditions, particularly strong winds, might affect the number of crosses and therefore corners. Even pre-match analysis focusing on tactical approaches, such as a team known for aggressive wing play, could shift the market. Any information suggesting a change in the expected game dynamics has the potential to alter trading activity and prices.