TOTAL VOLUME:
$147.1b
24H VOL:
$117,260,785
24H TRANSACTIONS:
2,782,936,628
OPEN INTEREST:
$1,740,268,001
506,571
Markets across
37,600
events
MATCHED EVENTS:
2,852
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Closed: Oct 17, 4:08 PM EST
Polymarket
This prediction market group centers around the college football game between The Citadel and Texas A&M, scheduled for October 17th. Markets cover the game's outcome, point spreads, over/under totals, and various team/player statistics. The markets are designed to allow users to predict specific aspects of the game's performance.
In the upcoming college football game between The Citadel and Texas A&M, scheduled for October 17 at 1:00PM ET: This market will resolve to "The Citadel" if The Citadel win the game. This market will resolve to "Texas A&M" if Texas A&M 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 The Citadel and Texas A&M, scheduled for October 17 at 1:00PM ET: This market will resolve to "The Citadel" if The Citadel win the game. This market will resolve to "Texas A&M" if Texas A&M 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 a different set of information and incentives than traditional sportsbooks. Sportsbooks primarily aim to balance risk and profit, setting odds based on implied probabilities and public betting patterns. Prediction markets, conversely, allow individuals to express their beliefs directly, creating a demand-based pricing mechanism. This can lead to discrepancies, especially when expert knowledge or insider information is present within the prediction market community. The collective intelligence displayed in this market can sometimes offer a more accurate forecast than traditional odds.
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. Differences in pricing between Polymarket and Predict for the Citadel vs. Texas A&M game can arise from several factors. Each platform has its own user base, trading dynamics, and risk tolerance, which influence how probabilities are assessed. Additionally, the liquidity and volume on each platform can vary, impacting price discovery. While both markets address the same underlying event, differing levels of information access and interpretation among traders can lead to discrepancies in the odds. These variations are a natural part of decentralized prediction markets and contribute to a more robust and accurate overall forecast.