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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Austin Peay vs North Alabama
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What is the result of Austin Peay vs North Alabama?

Volume:
$160,818

Austin Peay

 - Kalshi

Austin Peay - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 10:15 PM EST

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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

Austin Peay

View
100%
20%
Yes 100¢No 0¢
—
N/A
$75,904
N/A
N/A
$51,074
Settled
Yes
kalshi

North Alabama

0%
21%
Yes 0¢No 100¢
—
N/A
$84,913
N/A
N/A
$66,964
Settled
No
Total markets: 2

Description

This event monitors the college football game between Austin Peay and North Alabama. The market will reflect which team claims the win in the match scheduled for October 24, 2026.

Kalshi

The market resolves according to the Austin Peay vs North Alabama college football game scheduled for October 24, 2026. If North Alabama wins, the corresponding market resolves to Yes; if Austin Peay wins, its market resolves to Yes. Postponements that result in the game starting within 48 hours of the original time keep the market open for resolution based on the official result. Cancellation or a failure to start within the 48-hour period results in a fair price resolution. Kalshi clarifies it is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Austin Peay vs North Alabama 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 well as the total volume traded in this market, which is currently $160,818. The 24-hour volume is $78,498, indicating recent trading activity. This allows you to gauge market sentiment and see how others are predicting the result of the game.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on their own analysis, aiming to balance action on both sides, while this market’s odds are driven by traders who are incentivized to accurately forecast the outcome. It’s common to see discrepancies emerge as new information becomes available or as public sentiment shifts, and this market may offer a different perspective than traditional betting outlets. Examining both can provide a more comprehensive view.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s collective belief about the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the latest information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand, with higher demand pushing prices up and lower demand pushing them down, ultimately determining the implied probabilities displayed on the dashboard.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Austin Peay vs North Alabama game, as reported by official sources, will determine the winning contract. The platform will then verify the outcome against these sources to finalize the market and distribute payouts to contract holders. Traders should monitor official sources for the final game results to understand when and how this market will be settled.

Several factors could significantly influence this market. Any news regarding player injuries, changes in coaching strategies, or unexpected weather conditions could shift the perceived probabilities. Public sentiment, reflected in polls or expert analysis, can also play a role, as can significant betting activity in traditional sportsbooks. Major upsets in similar games leading up to the event could also impact trading behavior, causing the market to adjust its predictions based on the broader context of college football.