TOTAL VOLUME:
$154.2b
24H VOL:
$192,072,993
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,842,388,377
408,027
Markets across
40,419
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 12:44 PM EST
Kalshi
This set of markets tracks the total points scored by both teams in the first quarter of an upcoming college football game. Participants predict whether the combined score will exceed various thresholds, offering different levels of difficulty for forecasting the game's early momentum.
All markets resolve based on the total points scored by both teams combined during the first quarter of the Pittsburgh vs Boston College college football game scheduled for October 17, 2026. Each market has a specific threshold (e.g., 2.5, 5.5, up to 27.5 points); if the actual combined score exceeds that threshold, the market resolves to 'Yes.' If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the actual result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Only points scored in the first quarter count toward resolution.
Generally, prediction markets and sportsbook odds reflect the collective wisdom of bettors, but they can diverge due to differences in market participants and how information is processed. Sportsbooks often set initial lines to balance action, while this market allows traders to directly express their beliefs about the probability of different outcomes. If sportsbook odds suggest a strong likelihood of a particular result, we might see similar pricing in this market, but differences in opinion or access to information could lead to discrepancies. It’s common to see prediction markets incorporate information faster than traditional sportsbooks.
This market resolves around Oct 17, 2026, with the outcome confirmed once the total points scored in the first quarter of the Pittsburgh vs Boston College game is verifiable from credible public reporting. The final score, as reported by official sources, will determine whether the 'Over' or 'Under' contracts pay out. The resolution process relies on publicly available data to ensure an objective and transparent outcome for all participants in this market.
Several factors could influence the price of contracts in this market. Any news regarding key player injuries for either Pittsburgh or Boston College would likely cause significant movement, as would updates on weather conditions that could impact the game's scoring. Changes in public perception, driven by expert analysis or breaking news, could also shift the market. Finally, as the game approaches, any late-breaking information about team strategies or starting lineups could lead to increased trading activity and price fluctuations in this market.