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 20, 5:52 PM EST
Polymarket
This group contains a comprehensive set of markets related to the VfB Stuttgart vs. Club Atlético de Madrid Champions League game, including spread betting and over/under markets for total goals, both overall and within specific halves. The markets are designed to predict the outcome of the match based on various scoring scenarios.
More markets for the UEFA Champions League game, scheduled for October 20 at 3:00 PM ET.
More markets for the UEFA Champions League game, scheduled for October 20 at 3:00 PM ET.
Prediction market odds, like those found on Polymarket and Predict, often reflect the collective wisdom of a diverse group of forecasters, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets incentivize accurate forecasting. This can lead to discrepancies, especially when public sentiment strongly influences sportsbook lines. However, both represent probabilities of an outcome occurring, and comparing them can provide valuable insights into market sentiment surrounding the Stuttgart vs. Atlético Madrid match.
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. Prices on Polymarket and Predict may differ due to variations in user base, market design, and trading volume. Polymarket might attract more sophisticated traders with specialized knowledge of football, while Predict could have a broader, more general audience. Differences in the fees charged by each platform, or the specific rules governing trading, can also contribute to price divergence. Furthermore, the liquidity—or volume—on each platform influences how efficiently information is incorporated into prices for this market. These factors combine to create distinct price discovery processes.