TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 5:30 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of a college football game between Arizona State and Texas Tech. Each market corresponds to a specific margin of victory, allowing participants to bet on whether the winning team will exceed that margin within the first half.
All markets resolve based solely on points scored during the first half of the Arizona St. vs Texas Tech college football game scheduled for Oct 17, 2026. For Texas Tech markets, resolution occurs if Texas Tech leads by more than the specified margin at halftime; for Arizona State markets, resolution occurs if Arizona State leads by more than the specified margin at halftime. If the game is postponed but commences within 48 hours of its original start time, all markets remain open and resolve according to the official halftime result. If the game fails to start within 48 hours of its scheduled time, all markets resolve to a fair price, meaning they are settled equitably rather than strictly according to the outcome.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis beyond what’s readily available in traditional sportsbook lines. While sportsbooks set initial lines based on their own models and analysis, this market allows a broader range of participants to express their beliefs about the likely outcome. As such, you may find that the odds on Kalshi diverge from those offered by sportsbooks, particularly as new information emerges or public sentiment shifts. It’s common to see prediction markets more accurately reflect true probabilities, especially closer to the event.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half of the Arizona State vs. Texas Tech game. 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. The more traders who believe a particular spread is likely, the higher the price of contracts representing that spread will climb, and vice versa. This dynamic pricing mechanism aims to converge towards the true probability of the event.
This market resolves around Oct 17, 2026, once the first-half spread of the Arizona State vs. Texas Tech game is definitively determined. The outcome will be verified against credible public reporting of the official game results. The final point spread at the end of the first half will be compared to the contracts traded on Kalshi to determine which contracts settle at $100 and which settle at $0. Traders who correctly predicted the first-half spread will receive a payout, while those who predicted incorrectly will lose their investment.
Several factors could influence the price movement of this market before Oct 17, 2026. Any news regarding injuries to key players on either the Arizona State or Texas Tech teams would likely have a significant impact. Changes in weather forecasts, especially if they are expected to affect the game's conditions, could also shift the odds. Public perception, reflected in betting trends and expert analysis, will also play a role. Finally, any late-breaking news or developments related to team strategies or internal dynamics could cause the market to react and adjust its pricing.