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 17, 9:58 PM EST
Polymarket
This group contains a comprehensive set of markets related to the New England Revolution vs. Chicago Fire FC MLS game, focusing on spread and over/under bets for both the full game and individual halves. Markets cover various goal differentials and total goals scored.
More markets for the MLS game, scheduled for October 17 at 7:30 PM ET.
More markets for the MLS game, scheduled for October 17 at 7:30 PM ET.
Prediction market odds, like those found on Polymarket and Predict, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on internal models and risk management, while this market relies on individuals betting with their own capital. This can lead to discrepancies, particularly when public sentiment strongly diverges from expert opinion. While sportsbooks often include a 'vig' or commission, prediction markets generally have lower transaction costs, potentially leading to more efficient price discovery for the New England Revolution vs. Chicago Fire 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. Price discrepancies between Polymarket and Predict can arise due to several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; lower volume on one platform can lead to greater price volatility and divergence. Furthermore, the specific markets offered on each platform might not be identical, influencing how traders assess probabilities for the New England Revolution vs. Chicago Fire match. Different market structures and fee schedules can also contribute to these price variations.