TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 9:56 PM EST
Polymarket
This event group concerns the outcome of a college basketball game between Mount Marty Lancers and South Dakota Coyotes on November 2nd. The markets resolve to the winning team, with a 50-50 split if the game is canceled.
This event is for the CBB game between Mount Marty Lancers and South Dakota Coyotes on November 2 at 6:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
This event is for the CBB game between Mount Marty Lancers and South Dakota Coyotes on November 2 at 6:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
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 lines based on their own models and aim to balance action on both sides, while prediction markets allow anyone to express their belief about the outcome. This can lead to discrepancies, as prediction markets may incorporate information not fully captured by sportsbook algorithms. It’s common to see this market’s probabilities diverge from initial sportsbook lines, especially as new information emerges closer to the game.
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 from several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific mechanisms for trading and order execution differ between Polymarket and Predict, influencing how quickly prices adjust to new information. These factors combine to create potentially different probabilities for the same event across the two platforms.