TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
USC vs Penn St.: 1st Half Team Total
kalshi

What is the result of USC vs Penn St.?

Volume:
$13,845

Penn St. over 13.5 points

 - Kalshi

Penn St. over 13.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 9:10 PM EST

kalshi

Kalshi

View
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. over 13.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$5,527
N/A
N/A
$4,373
Settled
Yes
kalshi

USC over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,422
N/A
N/A
$2,266
Settled
Yes
kalshi

USC over 16.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,606
N/A
N/A
$1,606
Settled
Yes
kalshi

Penn St. over 7.5 points

100%
Yes 100¢No 0¢
—
N/A
$710
N/A
N/A
$703
Settled
Yes
kalshi

Penn St. over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$402
N/A
N/A
$377
Settled
Yes
kalshi

USC over 7.5 points

100%
Yes 100¢No 0¢
—
N/A
$352
N/A
N/A
$351
Settled
Yes
kalshi

USC over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$241
N/A
N/A
$159
Settled
Yes
kalshi

Penn St. over 16.5 points

100%
Yes 100¢No 0¢
—
N/A
$131
N/A
N/A
$113
Settled
Yes
kalshi

Penn St. over 4.5 points

100%
Yes 100¢No 0¢
—
N/A
$102
N/A
N/A
$102
Settled
Yes
kalshi

Penn St. over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$4
N/A
N/A
$4
Settled
Yes
kalshi

USC over 4.5 points

100%
Yes 100¢No 0¢
—
N/A
$4
N/A
N/A
$4
Settled
Yes
kalshi

USC over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$3
N/A
N/A
$3
Settled
Yes
kalshi

USC over 19.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,067
N/A
N/A
$1,035
Settled
No
kalshi

USC over 22.5 points

0%
Yes 0¢No 100¢
—
N/A
$894
N/A
N/A
$821
Settled
No
kalshi

Penn St. over 19.5 points

0%
Yes 0¢No 100¢
—
N/A
$228
N/A
N/A
$222
Settled
No
kalshi

Penn St. over 22.5 points

0%
Yes 0¢No 100¢
—
N/A
$112
N/A
N/A
$112
Settled
No
kalshi

Penn St. over 25.5 points

0%
Yes 0¢No 100¢
—
N/A
$28
N/A
N/A
$28
Settled
No
kalshi

USC over 25.5 points

0%
Yes 0¢No 100¢
—
N/A
$12
N/A
N/A
$11
Settled
No
Total markets: 18

Description

This set of markets tracks how many points each team scores in the first half of an upcoming college football game. Participants can bet on whether a team will exceed various point thresholds, allowing for nuanced predictions about game performance.

Kalshi

All markets resolve based on the official scoring of Penn State and USC in the first half of their college football game scheduled for October 10, 2026. Each market has a specific point threshold for each team; if the team's first-half score exceeds the threshold, the market resolves to Yes, otherwise No. 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, ensuring equitable treatment for all participants regardless of game timing changes.

Frequently asked questions

On Kalshi, the dashboard for the USC vs Penn State football game tracks the current price of contracts representing whether the team will exceed a certain point total in the first half. You can view the historical price movement of this market, allowing you to analyze how expectations have shifted over time. The dashboard also displays the 24-hour trading volume, currently at $13,449, and the total overall volume traded, which is $13,845. This provides insight into the level of interest and activity surrounding this particular contest.

Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to express their own independent beliefs about the outcome. It’s common to see discrepancies arise due to differing information, biases, or simply varying interpretations of the same data. Often, prediction markets are considered to be more accurate forecasts than traditional methods, but this isn’t always the case, and both can offer valuable insights.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of a specific outcome occurring – in this case, whether a team will exceed their point total in the first half. As more people buy contracts predicting an event, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price is determined solely by supply and demand from traders on Kalshi, creating a dynamic reflection of collective expectations. This differs from fixed-odds betting where the sportsbook sets the price.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official first-half team totals for both USC and Penn State will be used to determine whether the contracts have paid out. The resolution will be based on the official statistics reported by the governing body of college football, ensuring a transparent and verifiable process. Traders will be able to see the final results reflected in their account balances shortly after the game concludes.

Several factors could influence the price of this market leading up to Oct 11, 2026. Any significant news regarding player injuries, changes in coaching strategies, or even weather forecasts could shift trader sentiment. Unexpected developments in team performance during other games leading up to this matchup could also impact expectations. Public perception, as reflected in polls or expert analysis, can also play a role, though the market is ultimately driven by the actions of traders on Kalshi and their assessment of the probabilities.