TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 4:37 PM EST
Polymarket
This prediction market group centers around the college football game between California and SMU on October 24th. Markets cover the game's outcome, point spreads, over/under totals, team statistics, and various in-game events like touchdowns and field goals.
In the upcoming college football game between California and SMU, scheduled for October 24 at 12:00PM ET: This market will resolve to "California" if California win the game. This market will resolve to "SMU" if SMU win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.
In the upcoming college football game between California and SMU, scheduled for October 24 at 12:00PM ET: This market will resolve to "California" if California win the game. This market will resolve to "SMU" if SMU win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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 a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and ensure profit, while prediction markets are driven by individuals betting their own capital based on their beliefs. This can lead to prediction markets being more accurate, especially when incorporating information not readily reflected in traditional betting lines. However, sportsbooks often have lower transaction costs and higher liquidity. This market provides a fascinating comparison point, showing how collective forecasting differs from professional oddsmaking for the California-SMU football game.
Prices on Polymarket and Predict can diverge for several reasons. 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. Each platform attracts a different user base with varying levels of expertise and access to information. Trading mechanisms also differ; Polymarket may have different fee structures or liquidity compared to Predict. Furthermore, the specific markets offered on each platform can influence price discovery. Currently, Polymarket currently favors California at 100%, while Predict leans toward California vs. SMU at n/a. These differences highlight how diverse perspectives contribute to the overall forecasting process for the California-SMU football game.