TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 12:40 AM EST
Kalshi
These markets track how many points each team scores in the first half of an upcoming college football game. Each market has a different threshold for the points a team must score for the market to settle as 'Yes'.
All markets resolve based on whether the specified team scores over the designated point threshold in the first half of the Purdue vs UCLA college football game scheduled for September 19, 2026. If the game is postponed but starts within 48 hours of the original time, all markets remain open and resolve according to the actual result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring impartial treatment under extraordinary circumstances.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and specialized knowledge. Sportsbooks set initial lines to balance action, while this market allows participants to freely express their beliefs about the likelihood of each team exceeding their 1st half total. Over time, prediction market prices tend to become more accurate as more information is incorporated and traders refine their assessments. Discrepancies can arise from differing risk appetites and information access between market participants and sportsbook operators.
On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing the probability of each outcome. The price of a contract directly reflects the market's implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the prices adjust to reflect the collective assessment of the event's likelihood. This dynamic pricing allows for a fluid and responsive market that can quickly incorporate new information and changing expectations regarding the Purdue vs UCLA game.
Several factors could influence the price of this market. Any news regarding key player injuries or changes to the starting lineups for either Purdue or UCLA would likely cause significant movement. Game day weather conditions, particularly if they are expected to impact scoring, could also play a role. Additionally, late-breaking analysis from sports commentators or shifts in public perception regarding each team’s offensive capabilities could all contribute to price fluctuations in this market leading up to the game's start.