TOTAL VOLUME:
$134b
24H VOL:
$87,176,691
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,958,194
394,660
Markets across
30,119
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 1:33 PM EST
Kalshi
These markets focus on predicting the point differential between Penn State and Temple specifically during the second quarter of their college football game. Each market corresponds to a different threshold of points by which either team must win that quarter to settle the outcome.
All markets resolve based solely on points scored during the second quarter of play in the Penn State vs Temple college football game scheduled for September 12, 2026. For any market where Penn State must win by a specified margin (e.g., over 23.5, 19.5, etc.), if Penn State's second-quarter points exceed Temple's by more than that margin, the market resolves to Yes; otherwise, it resolves to No. Conversely, for markets where Temple must win by a specified margin (e.g., over 2.5, 3.5, etc.), if Temple's second-quarter points exceed Penn State's by more than that margin, the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve based on the official final result of that quarter. If the game fails to start within 48 hours of its scheduled time, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially in the lead-up to an event. While sportsbooks may initially set lines based on power rankings and expert analysis, this market incorporates a continuous stream of information from a diverse group of traders. Discrepancies can arise due to differing motivations – sportsbooks aim to profit, while prediction market participants are driven by accurate forecasting. It’s common to see this market adjust rapidly to new information, potentially diverging from initial sportsbook lines.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the second quarter of the Penn St. vs Temple game. 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 profitable trades are rewarded. As more traders participate and new information becomes available, the prices dynamically adjust, creating a real-time assessment of the likely outcome. This creates a dynamic environment where the spread is constantly refined.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the second quarter of the Penn St. vs Temple game will be used to determine which contracts pay out. Contracts predicting the correct spread will settle at 100, while those predicting an incorrect spread will settle at 0. The official result will be sourced from established sports data providers to ensure accuracy and transparency, and determine the final settlement of this market.
Several factors could influence the price of contracts in this market. Any news regarding injuries to key players on either the Penn St. or Temple teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's conditions, could also shift expectations. Additionally, any significant shifts in public sentiment, as reflected in polls or expert analyses, could influence trading activity. Finally, large volume trades on Kalshi itself could also trigger price fluctuations as traders react to new information or strategies.