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: Oct 17, 4:56 PM EST
Polymarket
This group covers various markets related to the Georgetown vs. Colgate college football game on October 17th. Markets include the outright winner, point spreads for both teams, and the over/under on total points scored. The markets are designed to resolve based on the official result of the game.
In the upcoming college football game between Georgetown and Colgate, scheduled for October 17 at 1:00PM ET: This market will resolve to "Georgetown" if Georgetown win the game. This market will resolve to "Colgate" if Colgate 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 Georgetown and Colgate, scheduled for October 17 at 1:00PM ET: This market will resolve to "Georgetown" if Georgetown win the game. This market will resolve to "Colgate" if Colgate 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 for this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while prediction markets aggregate the beliefs of many individual bettors. This can lead to discrepancies, especially when public opinion diverges from expert analysis. It’s common to see prediction markets move more quickly to incorporate new information, as a larger and more diverse group of participants continuously updates their forecasts. Examining both sources can provide a more well-rounded understanding of potential outcomes.
Prices on Polymarket and Predict can diverge due to several factors. 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 has its own user base, trading fees, and liquidity, which can influence price discovery. Furthermore, differing risk appetites and information access among traders on each platform contribute to price discrepancies. While both are predicting the outcome of the Georgetown vs. Colgate game, the specific market structures and participant behaviors on Polymarket and Predict create independent price signals. These differences are normal and reflect the dynamic nature of prediction markets.