TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 5:26 PM EST
Kalshi
These markets evaluate different scoring thresholds for the first half of a college football game between Baylor and Auburn. Each threshold represents a specific point total that, if exceeded by both teams combined, determines the outcome of that particular market.
All markets resolve based on the total points scored by both teams during the first half of the Baylor vs Auburn college football game scheduled for September 5, 2026. For each market, if the combined score exceeds the specified threshold (e.g., 2.5, 6.5, 9.5 points, etc.), the market resolves to Yes; otherwise, it resolves to No. Only points scored in the first half count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds in this market often reflect a different risk profile than traditional sportsbook lines. While sportsbooks set their lines based on a mix of public betting trends and sharp money, prediction markets let traders bet directly on their beliefs. This can lead to tighter odds or bigger divergences, especially if new information shifts trader sentiment. Comparing the two gives a view of where the crowd sees value versus the established sports betting market.
This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the first half will settle the over/under, and the result is final once officially recorded by recognized sports authorities. No further interpretation is needed beyond the publicly available game data.
Injuries to key players, changes in coaching strategy, or weather conditions could all shift this market. High-profile performances in practice or updates from team sources may also sway trader sentiment. Additionally, any significant line movement from sportsbooks could feed back into prediction market pricing, as traders react to new information or perceived edges. The closer we get to game day, the more sensitive the market will be to real-time updates.