TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Penn vs Cornell: 1st Half Winner
kalshi

Who will win Penn vs Cornell 1st Half?

Oct 24, 2026, 3:23 PM EST - Nov 7, 2026, 4:00 PM EST
Total volume:
$0
Volume 24h:
N/AN/A
Liquidity:
N/AN/A
Open interest:
$0N/A

Cornell

 - Kalshi

Cornell - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 04d:23h:36m

Cornell wins the 1st half

95%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 95¢ buys you 105 shares | Odds: 0% Total Payout: $105 | Net Profit: $5 Multiplier: 1.05x | ROI: 5% High Projected APY: 4,119% 4 days to resolution
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Cornell

Trade
N/A
N/A
90¢
N/A
N/A
N/A
N/A
N/A
4d 23h 36m
Active
kalshi

Penn

N/A
N/A
76¢
N/A
N/A
N/A
N/A
N/A
4d 23h 36m
Active
kalshi

Tie

N/A
N/A
73¢
N/A
N/A
N/A
N/A
N/A
4d 23h 36m
Active
Total markets: 3

Description

This market tracks which team will lead at the end of the first half in an upcoming college football game between Penn and Cornell. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends exclusively on who holds the advantage at halftime.

Kalshi

If Cornell wins the 1st half of the Penn vs Cornell college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes. If Penn wins the 1st half of the Penn vs Cornell college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Penn vs Cornell college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Penn vs Cornell 1st half market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities for each outcome are changing in real-time, as well as review past price movements. The current 24-hour volume is $0, and the total volume traded to date is $0. This provides a clear picture of market activity and sentiment surrounding which team is favored to win the first half of the game.

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. Sportsbooks may incorporate biases or seek to profit from public perception, while this market aggregates the views of many independent traders. However, sportsbook odds can still offer a useful point of comparison, and significant discrepancies might present opportunities for arbitrage. It’s important to remember that both represent probabilities of an outcome, but are derived through different mechanisms.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. As more traders buy a contract, its 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 conditions change. The current top outcome, as indicated by the highest implied probability, is a Tie in the 1st half.

This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The outcome will be determined by which team is leading at the end of the first half of the Penn vs Cornell game. The official game results, as reported by a trusted sports data source, will serve as the basis for determining the winning outcome in this market. Traders will be able to see the final result reflected in their account balances shortly after the game concludes.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in team lineups, or unexpected weather conditions could all impact trader sentiment. Additionally, significant betting activity – a large influx of buys or sells on a particular outcome – can quickly shift the odds. Finally, public perception and analysis from sports commentators could also play a role in shaping market expectations leading up to the game. Monitoring these signals can help traders make informed decisions.