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 10, 5:12 PM EST
Kalshi
This market tracks the total number of 4th down conversions—over or under 0.5—in the Virginia Tech versus California college football game. Currently, the consensus probability that Virginia Tech versus California will have Over 0.5 4th Down Conversions is 100.0%. This prediction is an aggregation of data from Kalshi and Polymarket, and will resolve based on game results reported by https://www.ncaa.com/. Keep an eye on the game itself on October 10th to see if either team successfully converts on fourth down, ultimately determining the outcome of this market.
In the upcoming college football game between Virginia Tech and California, scheduled for October 10 at 3:30PM ET: This market will resolve to "Virginia Tech" if Virginia Tech win the game. This market will resolve to "California" if California 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.
All markets resolve based on the total points scored by both teams combined during the first half of the Virginia Tech vs California college football game scheduled for October 10, 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'. If the game is postponed but commences within 48 hours of the original start time, the markets remain active and resolve according to the official result. If the game does not start within 48 hours of the scheduled time, all markets will resolve to a fair price, ensuring equitable treatment for all participants under these conditions.
Prediction market odds, such as those reflected in this market, often differ from traditional sportsbook odds due to the wisdom of the crowd and the incentive structure. Sportsbooks set lines to balance action and ensure profit, while prediction markets allow participants to directly express their beliefs. This can lead to more accurate probabilities, particularly as more information becomes available. However, sportsbook odds are readily accessible and may influence initial trading activity in this market. It’s useful to compare both to gain a comprehensive view of expectations for the Virginia Tech vs. California game.