TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 8:52 PM EST
Kalshi
These markets track the performance gap between Oklahoma State and Iowa State in the first half of their college football game. Outcomes depend on whether Oklahoma State or Iowa State achieves specific point differentials during the initial 30 minutes of play.
All markets resolve based solely on points scored during the first half of the Oklahoma St. vs Iowa St. college football game scheduled for Oct 31, 2026. Each market has a distinct numerical threshold for the winning team's point differential: markets range from 'Oklahoma St. wins by over 2.5 points' up to 'Oklahoma St. wins by over 23.5 points,' and symmetrically from 'Iowa St. wins by over 2.5 points' to 'Iowa St. wins by over 14.5 points.' If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the official first-half result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, reflecting adjusted expectations based on available information and circumstances.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which are often set by experts. Sportsbooks may incorporate factors like public perception and liability management into their odds, while this market is driven purely by individuals willing to put their capital behind their beliefs. It’s common to see this market move independently of sportsbook odds as new information emerges or as betting action concentrates on specific outcomes. Comparing the two can provide a broader perspective on the likely result.
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 determined by supply and demand. As more people buy contracts predicting a certain spread, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions accordingly, offering a real-time assessment of the likely outcome for the Oklahoma State vs Iowa State first-half spread.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the first half of the Oklahoma State vs Iowa State game will be used to determine which contracts pay out. The market will settle based on the official result reported by the governing body for college football, ensuring a transparent and verifiable outcome. Traders will be able to see the final result and any associated payouts on Kalshi following the game’s conclusion.
Several factors could influence this market before resolution. Any news regarding injuries to key players on either the Oklahoma State or Iowa State teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to one team's style of play, could also impact the market. Furthermore, late-breaking news about team strategy or coaching decisions could shift trader sentiment. Even significant betting activity in traditional sportsbooks could indirectly influence trading on Kalshi as information spreads.