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 Cornell: 1st Half Winner
kalshi

Dartmouth vs Cornell: 1st Half Winner

Oct 31, 2026, 3:24 PM EST - Nov 14, 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 14, 2026

Time left: 11d:23h:25m

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% | APY: 376% 11 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
1w 4d 23h
Active
kalshi

Dartmouth

N/A
N/A
85¢
N/A
N/A
N/A
N/A
N/A
1w 4d 23h
Active
kalshi

Tie

N/A
N/A
82¢
N/A
N/A
N/A
N/A
N/A
1w 4d 23h
Active
Total markets: 3

Description

This market focuses on predicting which team will lead at halftime in the college football matchup between Dartmouth and Cornell. It reflects the competitive balance and performance of both teams during the first half of the game, without considering the final outcome.

Kalshi

If Cornell wins the 1st half of the Dartmouth vs Cornell college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If Dartmouth wins the 1st half of the Dartmouth vs Cornell college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Dartmouth vs Cornell college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Dartmouth vs Cornell 1st half market tracks the current price of contracts representing each possible outcome – which team will win the first half. You’ll find a price history chart showing how the price has fluctuated over time, reflecting trader sentiment. The dashboard also displays the 24-hour trading volume, currently at $0, and the total overall volume traded in this market, which is $0. This provides a clear picture of market activity and how confidence in each outcome is shifting.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a ‘vig’ or commission into their odds, ensuring a profit margin for themselves, and may be influenced by marketing or public perception. This market, however, is driven purely by the collective wisdom of traders who are incentivized to accurately forecast the outcome. While sportsbooks may initially set lines based on statistical models, the prediction market price reflects real money at stake and can often be a more accurate indicator of the true probability of an event occurring. It’s a fascinating comparison to observe.

This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the Dartmouth vs Cornell game will determine the winning contract. The final score at halftime will be the determining factor, and the result will be verified against official game statistics. Traders who correctly predicted the first-half winner will receive a payout based on the final market price at resolution, while those who bet on the losing outcome will forfeit their investment.

Several factors could influence the price of this market before it resolves. Any news regarding injuries to key players on either the Dartmouth or Cornell teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team’s playing style, could also shift the market. Unexpected announcements about coaching strategies or team lineups could also cause price fluctuations. Finally, even general public sentiment and media coverage leading up to the game can influence trader behavior and move the price of contracts in this market.