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Sports OPEN

Texas at NC St.: Spread

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
10
Markets
10

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Yes Bid
Yes Ask
Last Price
Prev Close
Buy YES → Buy NO

Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (10)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
NC St. wins by over 3.5 Points 0%
$0 Trade →
NC St. wins by over 9.5 Points 0%
$0 Trade →
Texas wins by over 12.5 Points 0%
$0 Trade →
Texas wins by over 9.5 Points 0%
$0 Trade →
Texas wins by over 15.5 Points 0%
$0 Trade →
NC St. wins by over 15.5 Points 0%
$0 Trade →
Texas wins by over 6.5 Points 0%
$0 Trade →
Texas wins by over 3.5 Points 0%
$0 Trade →
NC St. wins by over 6.5 Points 0%
$0 Trade →
NC St. wins by over 12.5 Points 0%
$0 Trade →

About This Market

This market asks which spread outcome will occur for the Texas at NC St. matchup; it matters because spread markets aggregate market expectations about the margin of victory and can move as new information arrives.

The event pits programs from two major collegiate athletics programs in a single head-to-head game; results and competitive balance can change season to season because of recruiting, coaching changes, and roster turnover. Historical series and recent form provide context but do not guarantee future margins, so traders often combine matchup-specific data with real-time news.

Prices in a spread market represent how traders are allocating capital across possible margin ranges — higher-priced outcomes indicate greater market support relative to other outcomes, but interpretation should account for liquidity and timing of trades.

Key Factors

Frequently Asked Questions

How are the 10 outcomes structured for the Texas at NC St.: Spread market?

Each outcome corresponds to a specific spread range or margin bucket defined by the market creator; check the market's outcome labels on the platform to see the exact point or range that each outcome represents.

When and how will this market settle after the Texas at NC St. game?

The market will settle based on the official final score reported by the relevant governing body or official scorer; settlement timing can include a short delay while officials confirm results and any necessary reviews are completed.

How should I factor pregame injury and roster news into my view of this spread market?

Immediate, credible reports about unavailable starters or last-minute lineup changes tend to move spread expectations because they materially change projected performance; monitor verified injury reports and official team announcements rather than unconfirmed rumors.

What historical matchup information between Texas and NC State is most relevant to this spread market?

Relevant context includes recent head-to-head results, performance in similar matchups (e.g., against teams with comparable offensive or defensive profiles), and how each team has performed on the road versus at home; prioritize trends that persist into the current season, such as defensive efficiency or red-zone scoring.

What happens to this market if the game is postponed, canceled, or declared a no-contest?

If the game does not produce an official final result, the market will be resolved according to the platform's contingency and cancellation rules—common outcomes include voiding the market or refunding positions—so review the platform’s settlement policy for canceled or postponed events.

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