TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 29, 10:20 PM EST
Kalshi
These markets evaluate different thresholds of points scored in the second half of a college football game between New Mexico State and Florida State. Each threshold represents a specific level of scoring performance that, if exceeded, determines the outcome of that particular market.
All markets resolve based on the total points scored by both teams combined during the second half of play (excluding overtime) in the New Mexico State versus Florida State college football game scheduled for August 29, 2026. Each market has a unique threshold: if the combined second-half points exceed the specified threshold, that market resolves to 'Yes'; otherwise, it resolves to 'No'. For all markets, only points scored in the second half count. If the game is postponed but commences within 48 hours of its original scheduled start time, markets remain open and resolve based on the final official result. If the game does not start within 48 hours of the original scheduled time, all markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain the property of their respective owners.
This market resolves around Aug 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score of the second half will be used to determine whether the total points scored meets the over/under threshold. No additional interpretation or platform-specific rules apply beyond publicly confirmed results.
Key signals that could shift this market include injury updates affecting offensive or defensive performance, weather conditions impacting gameplay, and momentum swings during the first half that influence expected scoring in the second. Any public news or official announcements about player availability or game conditions may also cause rapid price adjustments as traders reassess probabilities.