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 12, 6:27 PM EST
Polymarket
This group covers markets on the outcome of a soccer (football) match between Al Gharafa SC and Esteghlal FC Tehran, scheduled for October 12, 2026. Markets ask whether Al Gharafa SC will win, Esteghlal FC Tehran will win, or the match will end in a draw.
This event is for the upcoming AFC Champions League Elite game, scheduled for Monday, October 12, 2026 between Al Gharafa SC and Esteghlal FC Tehran.
This event is for the upcoming AFC Champions League Elite game, scheduled for Monday, October 12, 2026 between Al Gharafa SC and Esteghlal FC Tehran.
Prediction market odds, like those found on Polymarket and Predict, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks aim to set lines that balance action on both sides and incorporate a profit margin, while prediction markets reflect the aggregate beliefs of informed traders. This market’s implied probabilities can provide a valuable alternative perspective, potentially identifying discrepancies where the crowd believes a different outcome is more likely than sportsbooks suggest. These differences can arise from varying levels of expertise and access to information among participants.
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 for several reasons. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Al Gharafa vs. Esteghlal match. Trading volume and liquidity also play a role; a market with higher volume on one platform may exhibit more efficient price discovery. Furthermore, the specific mechanisms for trading and risk management on each platform can influence price formation. These factors combine to create potentially different implied probabilities for the same event across the two venues.