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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Wake Forest vs NC St.: 1st Quarter Winner
kalshi

What is the result of Wake Forest vs NC St.?

Volume:
$12,808

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 12:47 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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$2,966
N/A
N/A
$2,808
Settled
Yes
kalshi

Wake Forest

0%
Yes 0¢No 100¢
—
N/A
$7,495
N/A
N/A
$4,879
Settled
No
kalshi

NC St.

0%
Yes 0¢No 100¢
—
N/A
$2,347
N/A
N/A
$2,333
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Wake Forest and NC State. It focuses solely on the scoring during the initial 15 minutes of play, ignoring the rest of the game. The outcome depends on whether Wake Forest, NC State, or neither team (in case of a tie) scores more points in that specific period.

Kalshi

If NC St. wins the 1st quarter of the Wake Forest vs NC St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Wake Forest wins the 1st quarter of the Wake Forest vs NC St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Wake Forest vs NC St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Wake Forest vs NC State game tracks the current odds for each possible outcome in the first quarter, along with the total volume traded – currently $12,808 – and the 24-hour volume, which is $6,930. You can also view a price history chart to see how the probabilities have shifted over time. This allows traders to gauge market sentiment and identify potential opportunities based on how others are pricing the likelihood of each team winning the first quarter.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and often incorporate a profit margin, while this market is driven by individuals trading on their own beliefs. If a significant number of people believe a particular outcome is more likely than sportsbooks suggest, the odds on Kalshi will move accordingly. It’s common to see discrepancies, especially as new information emerges or public opinion shifts leading up to the event.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market's probability of that outcome occurring. As more traders buy contracts for a specific team, the price increases, indicating a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity provide insights into the level of confidence traders have in each team’s potential to win the first quarter of the Wake Forest vs NC State game.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the first quarter winner of the Wake Forest vs NC State game will be used to determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding the winning contract will receive a payout of 100, while those holding losing contracts will receive nothing.

Several factors could influence this market before resolution. Any news regarding injuries to key players on either the Wake Forest or NC State team would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact playing conditions, could also shift the odds. Furthermore, late-breaking news about team strategies or coaching decisions might influence trader sentiment. Even public perception, as reflected in social media and expert analysis, can contribute to price fluctuations in this market.