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$154.3b

24H VOL:

$228,458,490

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2,984,028,936

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$1,879,276,037

410,833

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4,363

PLATFORM COVERAGE:

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Polymarket:

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Duquesne vs New Haven
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What is the result of Duquesne vs New Haven?

Volume:
$38,312

Duquesne

 - Kalshi

Duquesne - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 3:15 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

Duquesne

View
100%
Yes 100¢No 0¢
—
N/A
$25,935
N/A
N/A
$21,017
Settled
Yes
kalshi

New Haven

0%
35%
Yes 0¢No 100¢
—
N/A
$12,377
N/A
N/A
$9,155
Settled
No
Total markets: 2

Description

Two college football teams, Duquesne and New Haven, will compete in a match scheduled for October 31, 2026. The outcome hinges on which team secures a victory in this head-to-head contest. Betting interests focus on predicting the winner of this athletic showdown.

Kalshi

The market resolves to Yes if either Duquesne or New Haven wins the college football game originally scheduled for October 31, 2026. If the game is postponed but commences within 48 hours of the original start time, the market remains open and resolves based on the final official result. Should the game be cancelled or fail to start within the 48-hour window, the market resolves to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Duquesne vs New Haven game tracks the current odds, price history, and 24-hour trading volume. You can see how the perceived probability of different outcomes shifts over time based on traders’ activity. Currently, the total volume for this market is $32,063, with $31,425 traded in the last 24 hours. This provides a real-time view of where the crowd stands on the likely result of the game, reflecting collective predictions as they evolve.

Prediction market odds often offer a different perspective than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to accurately predict the outcome. Often, prediction markets are more accurate than traditional polls or initial sportsbook lines, as they continuously adjust based on new information and diverse opinions. Comparing this market to sportsbook odds can reveal discrepancies and potentially highlight undervalued or overvalued outcomes, but remember that both represent different forms of forecasting.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of a contract indicates the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust accordingly, creating a dynamic and real-time assessment of the event’s likelihood. The current top market on Kalshi is for New Haven to win, though the chance percentage is not currently available.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Duquesne vs New Haven game, as reported by official sources. Traders who correctly predicted the outcome will receive a payout based on the final market prices, while those who predicted incorrectly will forfeit their investment. The final outcome will be determined by the official game results, ensuring a transparent and verifiable resolution process.

Several factors could influence the price movement of this market before Oct 31, 2026. Any news regarding player injuries, changes in team strategy, or unexpected weather conditions could all shift the perceived probabilities. Significant media coverage or expert analysis predicting a change in momentum could also impact trading activity. Furthermore, large volume trades from informed participants could signal new information or a change in sentiment, causing the market to react accordingly. Monitoring these signals can provide insights into how the market is evolving and potential opportunities for traders.