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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Dartmouth vs Columbia: 1st Half Winner
kalshi

Who will win Dartmouth vs Columbia 1st Half?

Volume:
$1,853

Dartmouth

 - Kalshi

Dartmouth - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 5:08 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

Dartmouth

View
100%
Yes 100¢No 0¢
—
N/A
$1,163
N/A
N/A
$1,056
Settled
Yes
kalshi

Columbia

0%
Yes 0¢No 100¢
—
N/A
$387
N/A
N/A
$387
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$303
N/A
N/A
$303
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first half of an upcoming college football game between Dartmouth and Columbia. 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 points advantage at that specific interval.

Kalshi

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

Frequently asked questions

On Kalshi, the dashboard for the Dartmouth vs Columbia 1st half market displays the current odds for each team winning the first half, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $1,853, and the total overall volume traded in this market, which is $1,853. This allows traders to quickly assess market sentiment and activity surrounding the potential first-half winner of this college basketball game.

Prediction market odds often reflect the collective wisdom of informed traders, and can differ from traditional sportsbook odds. Sportsbooks set lines to balance action and ensure profit, while this market is driven by individuals predicting the outcome. Discrepancies can arise due to differing information, biases, or simply variations in how each assesses the probability of a particular team winning the first half. It’s common to see this market move independently of sportsbook lines, especially as new information becomes available or as the event draws closer.

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 reflects the market's current belief about the likelihood of that outcome occurring. As more traders buy contracts for Dartmouth, for example, the price will increase, indicating a growing expectation that they will win the first half. 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 rapidly incorporate new information and adjust probabilities in real-time, offering a unique perspective compared to fixed-odds betting.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the Dartmouth vs Columbia basketball game will be declared the winner of this market. The resolution will be based on the official game statistics and score as reported by a recognized sports data provider, ensuring a transparent and accurate determination of the result.

Several factors could significantly influence this market. Any news regarding player injuries or suspensions for either Dartmouth or Columbia would likely cause price movement. Changes in team performance leading up to the game, such as a surprising win or loss, could also shift expectations. Even broader factors, like weather conditions potentially affecting travel or game strategy, could play a role. Finally, significant betting activity – a large influx of volume on one side – could also drive the odds in a particular direction before the game begins.