TOTAL VOLUME:

$154.2b

24H VOL:

$192,072,993

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,842,388,377

408,027

Markets across

40,419

events

MATCHED EVENTS:

4,369

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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New Haven vs. Austin Peay
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What is the result of New Haven vs. Austin Peay?

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New Haven vs. Austin Peay

 - Predict

New Haven vs. Austin Peay - Predict

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Resolved Oct 3, 2026

Closed: Oct 3, 8:00 PM EST

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New Haven vs. Austin Peay

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$3,048
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Settled
No
Total markets: 1

Description

In the upcoming college football game between New Haven and Austin Peay, scheduled for October 3 at 5:00PM ET: This market will resolve to "New Haven" if New Haven win the game. This market will resolve to "Austin Peay" if Austin Peay 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 New Haven and Austin Peay, scheduled for October 3 at 5:00PM ET: This market will resolve to "New Haven" if New Haven win the game. This market will resolve to "Austin Peay" if Austin Peay 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 New Haven vs. Austin Peay game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the outcome, allowing you to see shifts in sentiment over time. Currently, the total volume for this market is $0, with $0 traded in the last 24 hours. This provides insight into how actively traders are engaging with this particular event and their confidence in potential results.

Generally, prediction market odds often reflect a ‘wisdom of the crowd’ perspective, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market represents the aggregated beliefs of individual traders. It’s common to see discrepancies, especially before significant events or when new information emerges. These differences can present opportunities for informed traders who believe the market has mispriced the probability of a particular outcome.

On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Predict, 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 dynamically, providing a real-time assessment of the event's likelihood. This means the odds aren’t fixed but evolve based on collective sentiment and trading activity.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the New Haven vs. Austin Peay game, as reported by official sources, will determine the winning contract. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. It’s important to monitor official announcements to understand when the market will officially close and settle.

Several factors could influence this market leading up to Oct 4, 2026. Any news regarding team injuries, changes in coaching staff, or significant shifts in player performance could all impact trader sentiment. Unexpected weather conditions or even pre-game analysis from sports analysts could also cause the market to react. Major public opinion shifts, reflected in polls or media coverage, might also contribute to price movements, as traders adjust their positions based on the latest available information.