TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 12:22 AM EST
Kalshi
This event tracks various point spread scenarios for the first half of a college football game between Baylor and Arizona State. Each outcome represents different margins of victory for either team within the first half, allowing participants to speculate on the relative performance of the teams in the initial segment of the game.
The event consists of multiple markets, each corresponding to a specific point differential threshold by which either Baylor or Arizona State must win the first half of their college football game scheduled for October 3, 2026. For a market to resolve as 'Yes,' the named team must exceed the specified point spread in the first half alone. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first half count toward resolution, and Kalshi explicitly disclaims any affiliation with the NCAA. All team names and logos 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 is driven by individuals willing to put their capital behind their beliefs. It’s common to see discrepancies, especially early in the market, as prediction markets can incorporate information and analysis from a wider range of sources than a typical sportsbook. These differences can present opportunities for informed traders.
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 provide accurate predictions, as they profit if their predictions are correct and lose if they are wrong. This dynamic process creates a market-driven assessment of the likely outcome for the Baylor vs Arizona State first-half spread.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the actual point spread achieved in the first half of the Baylor vs Arizona State game. The official result will be sourced from established sports data providers to ensure accuracy. Traders holding contracts corresponding to the correct spread will receive a payout, while those holding contracts on incorrect spreads will not.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Baylor or Arizona State teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game’s style of play, could also shift the market. Additionally, large volume trades on Kalshi or shifts in public perception, as reflected in polls or expert analyses, could all contribute to price fluctuations in this market.