TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 10:30 PM EST
Predict
In the upcoming college football game between Texas A&M and LSU, scheduled for September 26 at 7:30PM ET: This market will resolve to "Texas A&M" if Texas A&M win the game. This market will resolve to "LSU" if LSU 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 Texas A&M and LSU, scheduled for September 26 at 7:30PM ET: This market will resolve to "Texas A&M" if Texas A&M win the game. This market will resolve to "LSU" if LSU 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.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, aiming to profit regardless of the outcome. This market, driven by the collective intelligence of traders on Predict, tends to more accurately reflect the true probabilities as perceived by the crowd. While sportsbooks may initially set lines based on expert analysis, this market adjusts dynamically as new information and opinions emerge, potentially offering a more efficient assessment of the game's likely result.
On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of participants. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This means the odds shift in real-time as traders react to news, analysis, and each other's actions. The more traders believe an outcome is likely, the higher the price of its corresponding contract will rise, and vice versa. This dynamic pricing mechanism aims to create a transparent and efficient forecast.
This market resolves around Sep 27, 2026, with the outcome confirmed once the result of the Texas A&M vs. LSU game is verifiable from credible public reporting. The official result, as reported by sports authorities, will determine the winning outcome in this market. Traders who correctly predicted the result will be rewarded based on the final odds at resolution. It’s important to monitor news and updates leading up to the game to stay informed about potential factors that could influence the final result and therefore, this market.
Several signals could significantly move this market before Sep 27, 2026. Key player injuries on either the Texas A&M or LSU teams would likely cause substantial shifts in the odds. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even major news regarding team morale could also influence trader behavior. Furthermore, any late-breaking information about team strategies or player matchups could lead to adjustments in the perceived probabilities, driving price fluctuations in this market and reflecting the evolving expectations of those trading on Predict.