TOTAL VOLUME:

$154.8b

24H VOL:

$238,896,186

24H TRANSACTIONS:

2,985,204,718

OPEN INTEREST:

$1,897,934,485

408,127

Markets across

39,552

events

MATCHED EVENTS:

4,429

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

63%

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Appalachian State vs. Coastal Carolina
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What is the result of Appalachian State vs. Coastal Carolina?

Volume:
$6,428

Appalachian State vs. Coastal Carolina

 - Predict

Appalachian State vs. Coastal Carolina - Predict

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Oct 17, 2026

Closed: Oct 16, 11:00 PM EST

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Appalachian State vs. Coastal Carolina

View
100%
Yes 100¢No 0¢
—
$14,853
$6,428
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between Appalachian State and Coastal Carolina, scheduled for October 16 at 8:00PM ET: This market will resolve to "Appalachian State" if Appalachian State win the game. This market will resolve to "Coastal Carolina" if Coastal Carolina 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 Appalachian State and Coastal Carolina, scheduled for October 16 at 8:00PM ET: This market will resolve to "Appalachian State" if Appalachian State win the game. This market will resolve to "Coastal Carolina" if Coastal Carolina 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 Appalachian State vs. Coastal Carolina 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, giving you a sense of where the crowd stands. Currently, the total volume for this market is $6,428, with $6,422 traded in the last 24 hours. This provides a real-time view of market activity and sentiment surrounding the game’s potential results.

Frequently, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks often set initial lines to balance action on both sides, while this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information, biases, or simply variations in how each assesses the probabilities. It’s common to see this market move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts.

On Predict, 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 probability of that outcome occurring, as determined by supply and demand. As more traders believe a particular outcome is likely, the price of its corresponding contract increases. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions accordingly, offering a forward-looking assessment of the game’s potential results.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Appalachian State vs. Coastal Carolina game, as reported by a trusted sports news source, will determine the winning contract. The platform will then verify the outcome and distribute payouts to traders who correctly predicted the result. It’s important to note that the resolution process relies on publicly available information to ensure a fair and transparent outcome.

Several factors could influence this market before the game is played. News regarding key player injuries on either team would likely have a significant impact, as would any changes in weather forecasts that could affect the game’s conditions. Unexpected coaching decisions or significant shifts in public perception, perhaps driven by media coverage or expert analysis, could also move the market. Any late-breaking information that alters the perceived probabilities of either team winning has the potential to cause price fluctuations.