TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Buffalo vs Penn St.: 2nd Quarter Winner
kalshi

What is the result of Buffalo vs Penn St.?

Volume:
$1,516

Penn St. wins 2nd Quarter

 - Kalshi

Penn St. wins 2nd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 19, 2026

Closed: Sep 19, 1:51 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Penn St. wins 2nd Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$574
N/A
N/A
$574
Settled
Yes
kalshi

Buffalo wins 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$580
N/A
N/A
$580
Settled
No
kalshi

Tie 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$362
N/A
N/A
$362
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between Buffalo and Penn State. It highlights the importance of short-term performance over the full game outcome, offering insight into potential momentum shifts within a single quarter.

Kalshi

If Penn St. wins the 2nd quarter of the Buffalo vs Penn St. college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If Buffalo wins the 2nd quarter of the Buffalo vs Penn St. college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Buffalo vs Penn St. college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Buffalo vs Penn State 2nd quarter market tracks the current price, price history, and 24-hour trading volume. Currently, the 24-hour volume is $1,465, and the total volume traded to date is $1,516. You can see how the price of a 'yes' outcome has changed over time, and observe the activity of other traders. This provides a real-time view of where the crowd believes the probability lies for each team winning the second quarter.

Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market aggregates the beliefs of many individual traders. It’s common to see discrepancies, especially before significant events or when public sentiment strongly favors one outcome. These differences can present opportunities for informed traders, as the market price may more accurately reflect the true probability of each team winning the second quarter.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract ranges from 0 to 100, representing a percentage chance of that outcome occurring. As more people buy contracts for a particular team, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities as the event approaches, reflecting collective insight.

This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the Buffalo vs Penn State game will be declared the winner for the purposes of this market. The official game results, as reported by a trusted sports news source, will determine the final settlement. Traders will then receive payouts based on their positions in the market.

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 have a significant impact. Changes in weather forecasts, particularly if they favor one team’s playing style, could also shift the odds. Furthermore, pre-game analysis from sports analysts, and even significant betting activity in traditional sportsbooks, can all contribute to movements in this market as traders react to new information and adjust their predictions.