TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 1:24 AM EST
Kalshi
This market focuses on predicting the outcome of a specific segment in a college football game between Baylor and Arizona State. It centers on whether one team will outscore the other by a certain margin during the third quarter, providing insight into potential in-game momentum shifts.
The markets resolve based on the point differential between Baylor and Arizona State exclusively during the third quarter of their college football game scheduled for October 3, 2026. Each market corresponds to a specific point threshold, with varying margins defining a 'Yes' outcome depending on which team is leading. For markets where Arizona State must win by more than a set number of points (10.5, 7.5, 6.5, 3.5, or 2.5), resolution depends on Arizona State's third-quarter scoring advantage exceeding that threshold. Conversely, markets requiring Baylor to win by more than a set number of points (2.5, 3.5, 6.5, 7.5, or 10.5) resolve positively if Baylor achieves the specified margin in the third quarter. All markets exclusively consider points scored during the third quarter, disregarding scores from other quarters. If the game is postponed but commences within 48 hours of the original schedule, the markets remain active and resolve based on the final official result. Should the game fail to start within the 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing changes.
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’s pricing is driven by traders directly expressing their beliefs about the outcome. Often, prediction markets are considered more accurate than traditional polls or expert opinions, as they incentivize participants to be well-informed. However, sportsbook odds provide a valuable point of comparison for understanding where public sentiment aligns or diverges.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their predictions about the third-quarter spread. The price of a 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 can take either the ‘buy’ side, predicting the spread will be less than the current price, or the ‘sell’ side, predicting it will be greater. This dynamic interaction of buyers and sellers determines the market price, constantly updating as new information becomes available and opinions shift.
This market resolves around Oct 4, 2026, with the outcome confirmed once the official third-quarter spread of the Baylor vs Arizona State game is verifiable from credible public reporting. The resolution will be based on the final point difference at the end of the third quarter, as determined by official game statistics. No further action is required from participants after the game concludes; the platform will automatically settle contracts based on the verified result. It’s important to monitor the game’s progress leading up to the end of the third quarter.
Several factors could influence this market before it resolves. Any news regarding injuries to key players on either the Baylor or Arizona State teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the game's style of play, could also shift the market. Furthermore, any significant shifts in public perception, driven by expert analysis or updated betting lines from sportsbooks, might affect trading activity. Finally, in-game performance during the first and second quarters could provide clues and impact predictions for the third quarter spread.