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 3, 7:03 PM EST
Kalshi
These markets focus on predicting whether one team will achieve a specific point differential advantage over the other in the second half of an upcoming college football game, including any overtime periods.
All markets resolve based solely on points scored during the second half (including overtime) of the Virginia vs Florida St. college football game scheduled for Oct 3, 2026. Each market corresponds to a specific point threshold that must be exceeded by either Virginia or Florida St. to resolve to 'Yes'. If the game is postponed but commences within 48 hours of its 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 specific outcome thresholds.
Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. Generally, prediction markets tend to be more accurate than traditional polls or expert opinions, but it’s important to remember that both represent probabilities, and neither guarantees the actual result. Comparing the two can offer a broader perspective on the potential outcome of the game.
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 perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set accurate prices, as they profit from correctly predicting the outcome. As more traders participate, the price converges towards a consensus view of the likely spread in the second half of the Virginia vs Florida State game.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the second half of the Virginia vs Florida State game will be used to determine which contracts pay out. Contracts predicting the actual spread will be worth 100, while those predicting a different spread will expire worthless. The resolution will be based on official game statistics.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Virginia or Florida State teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the style of play, could also shift the market. Furthermore, in-game performance during the first half, and any strategic adjustments made by the coaches, could all contribute to changes in the perceived probability of different spreads in the second half.