TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 7:22 PM EST
Kalshi
These markets focus on predicting the point differential in the second half of a college football game between Baylor and Auburn. Each market corresponds to a specific point margin threshold that must be exceeded by either team to resolve as 'Yes'.
The markets resolve based on the point differential in the second half (excluding overtime) of the Baylor vs Auburn college football game scheduled for September 5, 2026. Each market corresponds to a specific point margin threshold that must be exceeded by either team to resolve as 'Yes'. If Auburn wins by more than the specified margin in the second half, the corresponding Auburn markets resolve to 'Yes'. Conversely, if Baylor wins by more than the specified margin in the second half, the corresponding Baylor markets resolve to 'Yes'. If the game is postponed but commences within 48 hours of the original scheduled start time, all markets remain open and resolve based on the official final result. If the game does not start within 48 hours of its originally scheduled start time, all markets will resolve to a fair price.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market is driven by individuals trading based on their own information and beliefs. Often, prediction markets are seen as more accurate forecasts, especially when compared to initial sportsbook lines or public polls. However, discrepancies can arise due to differing levels of information available to each group and varying risk appetites.
On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. The current price indicates what the collective market believes is the most likely outcome for the Baylor vs Auburn spread in the second half, and it adjusts dynamically with each trade.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the second half of the Baylor vs Auburn game will be used to determine which contracts pay out. Contracts predicting a spread closer to the actual result will be worth more, up to a maximum payout of 100 cents per contract. The resolution will be based on official game statistics and data sources.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Baylor or Auburn teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to affect the style of play, could also impact the spread. Furthermore, in-game performance during the first half, such as a dominant offensive showing by one team, could shift market sentiment and lead to adjustments in the price of contracts for this market.