TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 2:09 PM EST
Kalshi
This group forecasts the total number of corner kicks taken in a La Liga match between Elche CF and Valencia CF on November 1, 2026. Markets are offered for over/under thresholds ranging from 7.5 to 13.5 corners.
The market resolves to Yes if Elche and Valencia 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 are excluded. The governing league's official match records will determine the outcome.
Total corners markets for the La Liga game between Elche CF and Valencia CF, scheduled for November 1, 2026 at 12:30 PM ET.
Prediction market odds, like those found on Kalshi and Predict, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on statistical models and expert analysis, while this market relies on individuals betting with their own insights. This can lead to discrepancies, as prediction markets may incorporate information not fully accounted for by sportsbooks, or react more quickly to breaking news. However, both aim to accurately predict the outcome, and arbitrage opportunities can sometimes arise from differences in their pricing of this market.
Kalshi 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. Prices on Kalshi and Predict can diverge due to several factors. Each platform has its own user base with varying levels of expertise and information, leading to different interpretations of the likely outcome for the Elche vs Valencia match. Trading volume also plays a role; if one platform sees significantly more activity, its prices may be more sensitive to new information. Additionally, the specific mechanics of order matching and fee structures on each platform can influence price discovery in this market. These differences are normal and contribute to a more robust overall market signal.