TOTAL VOLUME:
$154.1b
24H VOL:
$185,665,189
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,833,875,329
407,365
Markets across
40,470
events
MATCHED EVENTS:
4,365
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 13, 7:38 AM EST
Polymarket
This group covers markets on the AFC Champions League Elite match between Newcastle United Jets and Gamba Osaka, scheduled for October 13, 2026. Markets ask whether either team will win or if the match will end in a draw.
This event is for the upcoming AFC Champions League Elite game, scheduled for Tuesday, October 13, 2026 between Newcastle United Jets and Gamba Osaka.
This event is for the upcoming AFC Champions League Elite game, scheduled for Tuesday, October 13, 2026 between Newcastle United Jets and Gamba Osaka.
Prediction market odds, like those seen on Polymarket and Predict, often reflect a different kind of information than traditional sportsbook odds. Sportsbooks primarily set lines to balance betting action and incorporate a profit margin, while prediction markets aggregate the beliefs of many individuals. This market, for example, may show a different probability for a draw than a typical sportsbook. Prediction markets can sometimes be more accurate, especially when there is significant information asymmetry or a large number of informed traders participating. However, sportsbooks often offer more diverse betting options.
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 can diverge due to several factors. Each platform has a different user base with varying levels of expertise and access to information regarding the Jets vs. Gamba Osaka match. Trading volume also plays a role; higher volume typically leads to more efficient price discovery. Furthermore, the specific mechanisms for trading and order execution differ between Polymarket and Predict, potentially causing temporary price discrepancies. These differences highlight the value of observing multiple prediction markets to gain a more nuanced understanding of potential outcomes.