TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 2:44 PM EST
Kalshi
This set of markets focuses on predicting the total points scored by both teams during the third quarter of a college football game. Each market has a different threshold for the points needed to achieve a 'Yes' outcome, allowing participants to bet on various levels of scoring intensity in that specific quarter.
All markets resolve based on the total points scored by both teams specifically during the third quarter of the Buffalo vs Penn St. college football game scheduled for September 19, 2026. Each market has a unique threshold (ranging from more than 2.5 points to more than 27.5 points) that must be exceeded for the market to resolve 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 official 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 third quarter count toward these markets.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which are initially set by analysts. Sportsbooks may incorporate factors like public perception and risk management, while this market directly represents what traders believe will happen. Discrepancies can arise due to differing information or interpretations, and can present opportunities for informed traders. It’s common to see prediction markets move more efficiently as new information becomes available, potentially leading to more accurate probabilities than those offered by traditional sportsbooks.
This market resolves around Sep 19, 2026, with the outcome confirmed once the total points scored in the third quarter of the Buffalo vs Penn State game is verifiable from credible public reporting. The final score will be sourced from official game statistics and used to determine which contracts pay out. Traders who correctly predicted the range containing the actual third quarter total will receive a payout based on the contract’s price at resolution. This ensures a transparent and objective determination of the market’s outcome.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Buffalo or Penn State teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s style of play, could also impact trading activity. Furthermore, late-breaking news about team strategies or coaching decisions might lead traders to reassess their probabilities. Even public sentiment, as reflected in polls or social media, could contribute to shifts in this market’s pricing.