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 6, 6:45 PM EST
Polymarket
This group contains a comprehensive set of markets related to the Croatia vs. Spain UEFA Nations League match, focusing on spread betting and over/under goals. Markets cover both the full game and first-half outcomes, offering a variety of betting opportunities based on the expected score difference and total goals scored.
More markets for the UEFA Nations League game, scheduled for October 6 at 2:45 PM ET.
More markets for the UEFA Nations League game, scheduled for October 6 at 2:45 PM ET.
Prediction market odds often differ from traditional sportsbook odds due to the nature of how each is determined. Sportsbooks set lines to balance action and incorporate a profit margin, while this market relies on the collective predictions of informed traders. This can lead to prediction markets being more accurate, especially when significant information isn’t yet reflected in sportsbook lines. However, sportsbooks typically offer more diverse betting options. Both provide value, but understanding the underlying mechanisms is key to interpreting the odds effectively.
Prices on Polymarket and Predict can diverge due to several factors. 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. Each platform attracts different user bases with varying risk appetites and information access, leading to differing opinions reflected in the market prices. Trading volume also plays a role; a market with higher volume on one platform tends to have more stable and potentially more accurate pricing. Furthermore, the specific mechanisms for price discovery—how traders can buy and sell predictions—differ between Polymarket and Predict, contributing to these price discrepancies. These variations are normal and reflect the dynamic nature of prediction markets.