TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 20, 6:04 PM EST
Polymarket
This group contains a comprehensive set of markets related to the UEFA Champions League match between SSC Napoli and FK Bodø/Glimt. Markets include spread betting (with varying handicaps) and over/under goals markets, both for the entire match and for specific halves. The markets are designed to allow traders to speculate on the outcome and scoring patterns of the game.
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 for this market, often reflect a wisdom-of-the-crowd perspective, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow participants to freely express their beliefs. This can lead to discrepancies, especially when public sentiment diverges from expert analysis. The collective intelligence displayed in this market may offer a more accurate forecast than a single sportsbook’s assessment, particularly as new information emerges.
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 trader participation, market design, and available liquidity. Polymarket currently favors Spread: SSC Napoli (-3.5) at 99, while Predict leans toward Spread: SSC Napoli (-3.5) at n/a. These discrepancies can arise from differing user bases and risk appetites on each platform. Furthermore, the specific mechanisms for setting prices – order books versus automated market makers, for example – can contribute to price divergence. The volume of trading on each platform also plays a role; higher volume typically leads to tighter spreads and more efficient price discovery.