TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Princeton vs Harvard: 1st Half Winner
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What is the result of Princeton vs Harvard?

Volume:
$10,503

Harvard

 - Kalshi

Harvard - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 6:49 PM EST

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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

Harvard

View
100%
Yes 100¢No 0¢
—
N/A
$9,745
N/A
N/A
$7,173
Settled
Yes
kalshi

Princeton

0%
Yes 0¢No 100¢
—
N/A
$449
N/A
N/A
$441
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$309
N/A
N/A
$308
Settled
No
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 Princeton and Harvard. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final game result. The outcome depends exclusively on who holds the advantage after the first half concludes.

Kalshi

If Harvard wins the 1st half of the Princeton vs Harvard college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Princeton wins the 1st half of the Princeton vs Harvard college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Princeton vs Harvard college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Princeton vs Harvard 1st half market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each outcome shifts over time as traders buy and sell contracts. Currently, the 24-hour volume is $10,503 and the total volume is $10,503. This allows you to gauge market sentiment and identify potential trading opportunities related to which team will be winning at halftime. The dashboard provides a real-time view of the market's activity.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on their own analysis, aiming to balance action on both sides. This market, however, allows individuals to express their beliefs, which can lead to odds that diverge from sportsbook lines, especially as new information emerges. While sportsbooks may adjust their odds based on betting patterns, prediction markets continuously update based on every trade. It’s common to see discrepancies, particularly when public opinion strongly favors one outcome.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing potential outcomes – in this case, which team will win the first half. The price of a contract reflects the market's probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the available contracts at different price points, indicating the level of demand and supply. This dynamic pricing mechanism allows the market to efficiently aggregate information and reflect collective beliefs.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team in the first half of the Princeton vs Harvard game will determine the settlement of this market. The final score at halftime will be the basis for determining the winning outcome. Traders who hold contracts for the winning team will receive a payout, while those holding contracts for the losing team will not. The resolution process ensures a transparent and objective determination of the result.

Several factors could influence this market. Any news regarding key player injuries or suspensions for either Princeton or Harvard would likely cause significant movement. Unexpected changes in weather conditions could also impact the game and, consequently, the market. Furthermore, early game performance – such as a dominant start by one team – could quickly shift trader sentiment. Public perception, influenced by pre-game analysis and expert opinions, can also play a role in driving price fluctuations. Any significant development related to team morale or coaching decisions could also move this market.