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

Volume:
$2,088

Princeton wins 1st Half

 - Kalshi

Princeton wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 1:23 PM EST

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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

Princeton wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$1,026
N/A
N/A
$1,026
Settled
Yes
kalshi

Columbia wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$701
N/A
N/A
$701
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$361
N/A
N/A
$361
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Princeton and Columbia, focusing solely on which team leads at halftime. It reflects the competitive balance between the two teams during the initial 30 minutes of play. The result is determined exclusively by first-half performance, regardless of the final game outcome.

Kalshi

The market resolves based on which team—Princeton or Columbia—wins the first half of their college football game scheduled for October 3, 2026, or if the halves end in a tie. Only points scored during the first half count toward resolution. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains active and resolves according to the official halftime result. Should the game fail to start within this 48-hour window, the market resolves to a fair price. Kalshi explicitly disclaims any affiliation with the governing league, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Princeton vs Columbia first half market tracks the current odds for each possible outcome, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, which currently stands at $847, and the total volume traded to date, which is $2,088. This allows you to see how much activity there is in this market and how traders are positioning themselves ahead of the game. The dashboard provides a real-time view of market sentiment.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis from a wider range of sources than traditional sportsbooks. Sportsbook odds are typically set by a relatively small number of experts, while this market benefits from the collective intelligence of many participants. However, there can be discrepancies, especially early in the market’s life cycle or when new information emerges. It’s common to see prediction markets move faster to incorporate news that impacts the likely outcome of the first half.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the Princeton vs Columbia game will determine the winning contract. The official score at halftime will be used to determine the result. It’s important to note that any potential overtime periods are not considered when determining the first-half winner for this market. The resolution will be based on the official game statistics.

Several factors could significantly influence this market. Any news regarding injuries to key players on either the Princeton or Columbia teams would likely cause a shift in the odds. Changes in team strategy or starting lineups announced before the game could also impact trading activity. Unexpected weather conditions on game day, or even significant shifts in public sentiment based on pre-game analysis, could move the market. Furthermore, any late-breaking news related to team morale or internal conflicts could also play a role in how traders adjust their positions.