TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 22, 4:36 PM EST
Polymarket
This prediction group covers various spread and over/under markets for the UEFA Europa League match between Ferencvárosi TC and SC União Torreense, scheduled for October 22nd. Markets include point spreads for both teams, total goals over/under lines, and both teams to score outcomes, with resolution based on the official final score.
More markets for the UEFA Europa League game, scheduled for October 22 at 12:45 PM ET.
More markets for the UEFA Europa League game, scheduled for October 22 at 12:45 PM ET.
Prediction market odds, like those found for this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set odds based on their own models and aim to balance their risk, while prediction markets are driven by participants directly wagering on the outcome. This can lead to discrepancies, especially when public sentiment differs from expert analysis. While sportsbooks may incorporate subjective factors, this market relies on the aggregated forecasts of informed traders, potentially revealing insights not captured elsewhere.
Prices on Polymarket and Predict may differ due to variations in trader participation, market design, and available liquidity. 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. Polymarket operates with a continuous market mechanism, while Predict may have different trading rules or order types. These differences can lead to price discrepancies even when both markets address the same underlying event. Furthermore, differing levels of information and risk appetite among traders on each platform can also contribute to the observed price divergence for this market. The spread between the two platforms reflects these combined factors.