TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 3:42 PM EST
Kalshi
This event tracks various thresholds of points scored in the second half of a college football game, allowing participants to speculate on the likelihood of different scoring levels being exceeded.
All markets resolve based on the total points scored by both teams in the second half (including overtime) of the designated game. Each market corresponds to a specific numerical threshold; if the combined second-half points exceed that threshold, the market resolves to Yes. If the game is postponed but commences within 48 hours of the original scheduled start time, all markets remain open and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the threshold specified.
Generally, prediction market odds often reflect the 'wisdom of the crowd,' potentially differing from sportsbook odds which may be influenced by factors like house bias or initial public perception. Sportsbooks set lines to attract balanced betting, while this market allows participants to freely express their beliefs about the likely outcome. It's common to see discrepancies, especially before significant events or when new information emerges. Examining these differences can be insightful, though direct comparisons are not always straightforward due to varying market dynamics and participant motivations.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official total points scored in the second half of the California versus NC State game, as reported by official game statistics. The platform will verify this information against trusted sources to determine whether the total points exceeded or fell short of the threshold defined by the contracts traded on Kalshi. This ensures a transparent and objective determination of the market's outcome.
Several factors could influence the trading activity in this market. Any news regarding player injuries to key offensive players on either team could significantly shift expectations. Changes in weather conditions, particularly if they are expected to impact scoring, could also drive movement. Furthermore, in-game performance during the first half, such as a dominant offensive showing by one team, could lead traders to adjust their predictions. Public sentiment and analysis from sports commentators could also play a role in influencing the price of contracts in this market.