TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 3:31 PM EST
Kalshi
These markets focus on predicting the margin of victory for either West Virginia or Iowa State in the second half of their upcoming college football game. Each market corresponds to a specific point differential threshold that must be exceeded by the winning team during the second half, including any overtime periods.
All markets resolve based solely on points scored during the second half of play, including any overtime periods. If Iowa State wins the second half by the exact margin specified in a market (e.g., exactly 17.5 points), the market does not resolve as 'Yes'—the winning margin must strictly exceed the threshold. Should the game be postponed but commence within 48 hours of its original scheduled start time, all markets remain active and resolve according to the final official result. If the game fails to start within this 48-hour window, all markets settle at a fair price, determined independently of the specified outcomes. Kalshi explicitly disclaims any affiliation with the NCAA, and all referenced trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. If a significant number of traders believe a sportsbook’s line is inaccurate, they can drive the price on Kalshi in a different direction. This can sometimes lead to more accurate probabilities, as the market aggregates information from a diverse range of participants, though discrepancies can and do occur.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the second half. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their predictions are correct and lose money if they are wrong. This dynamic pricing mechanism aims to converge towards the true probability of the event outcome, based on the collective intelligence of the market participants.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the second half of the West Virginia vs Iowa State game will be used to determine which contracts pay out. Contracts predicting the actual spread will settle at 100, while those predicting a different spread will settle at 0. The resolution will be based on official game statistics and will be publicly available following the conclusion of the game.
Several factors could influence the price of this market before resolution. Any significant news regarding injuries to key players on either the West Virginia or Iowa State teams would likely cause movement. Changes in weather conditions, particularly if they are expected to impact the style of play, could also shift the market. Additionally, public perception and betting trends, even from traditional sportsbooks, can influence trading activity on Kalshi and therefore the price of contracts. Finally, any late-breaking news or analysis related to team strategies could also play a role.