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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LIU vs. Duquesne
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What is the result of LIU vs. Duquesne?

Volume:
$308

LIU vs. Duquesne

 - Predict

LIU vs. Duquesne - Predict

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 4:00 PM EST

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LIU vs. Duquesne

View
87%
Yes 99¢No 26¢
—
$4,621
$308
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between LIU and Duquesne, scheduled for October 10 at 1:00PM ET: This market will resolve to "LIU" if LIU win the game. This market will resolve to "Duquesne" if Duquesne win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Predict

In the upcoming college football game between LIU and Duquesne, scheduled for October 10 at 1:00PM ET: This market will resolve to "LIU" if LIU win the game. This market will resolve to "Duquesne" if Duquesne win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Predict, the dashboard for the LIU vs. Duquesne game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time as traders buy and sell shares. Currently, the total volume for this market is $308, with $308 traded in the last 24 hours. The dashboard provides a visual representation of market sentiment and allows you to monitor activity related to this specific matchup. This information helps users understand where the crowd believes the most value lies.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individuals. It’s common to see discrepancies, especially before significant events or when public perception clashes with expert analysis. These differences can present opportunities for informed traders who believe the market has mispriced an outcome. Comparing the two can offer a broader perspective on the likely result of the LIU vs. Duquesne game.

On Predict, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different outcomes. The price of each share reflects the market's current probability assessment of that outcome occurring. As more people buy shares in a particular outcome, its price increases, and the implied probability rises. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market efficiently incorporates new information as it becomes available, leading to dynamic price adjustments. This creates a real-time assessment of the game's likely result, driven by the collective intelligence of the traders.

This market resolves around Oct 10, 2026, with the outcome confirmed once the result of the LIU vs. Duquesne game is verifiable from credible public reporting. The final score, as reported by official sources, will determine the winning outcome in this market. Traders who correctly predicted the result will be eligible for payouts based on the final share prices at resolution. It’s important to monitor news and official sources leading up to the resolution date to stay informed about any potential factors that could influence the final result.

Several signals could significantly move this market before Oct 10, 2026. Key player injuries or suspensions for either LIU or Duquesne would likely cause shifts in the odds. Unexpected news regarding team performance, coaching changes, or even weather conditions could also influence trader sentiment. Major upsets in other games involving these teams, or changes in public perception based on media coverage, could also play a role. Any information that alters the perceived probability of either team winning has the potential to impact trading activity and, consequently, the market prices.