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Syracuse vs North Carolina: Overtime
kalshi

What is the result of Syracuse vs North Carolina?

Volume:
$9,666

Game goes to overtime

 - Kalshi

Game goes to overtime - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 10:55 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Game goes to overtime

View
100%
Yes 100¢No 0¢
—
N/A
$9,333
N/A
N/A
$6,759
Settled
Yes
kalshi

2+ overtime periods

0%
Yes 0¢No 100¢
—
N/A
$333
N/A
N/A
$333
Settled
No
kalshi

3+ overtime periods

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

4+ overtime periods

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

5+ overtime periods

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

6+ overtime periods

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

The Syracuse vs North Carolina college football contest on October 24, 2026, will consist of the standard regulation time where each team attempts to outscore the opponent. If scores are level at the conclusion of regulation, overtime periods will be played to break the tie and produce a clear winner.

Kalshi

If at least 1 overtime period is played in the Syracuse vs North Carolina college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Syracuse-North Carolina game provides real-time insights into how traders are pricing the event's outcome. You'll find the current odds, a historical price chart showing how sentiment has shifted, and the 24-hour trading volume, which is currently $9,666. The total volume traded on this market is $9,666. This allows you to gauge market interest and track how predictions evolve as new information becomes available. The dashboard is a central hub for understanding the collective forecast for this game.

Prediction market odds often reflect a different kind of wisdom than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the aggregated beliefs of informed traders. It’s common to see discrepancies, especially when there’s significant public interest or disagreement about the likely outcome. While sportsbooks may initially favor one team, the prediction market can shift based on factors like injuries, weather, or even subtle changes in team dynamics, potentially offering a different perspective on the game’s probability.

On Kalshi, 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 Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust dynamically, creating a real-time forecast. The market depth—the number of buy and sell orders at various price points—indicates the level of conviction behind each potential outcome. This differs from fixed-odds betting, as the odds aren't set in advance but evolve with collective intelligence.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the final result of the Syracuse-North Carolina game, including any overtime periods. The platform will verify the result against official sources to ensure accuracy. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution, while those who predicted incorrectly will forfeit their stake. It’s important to monitor the event closely as the resolution date approaches.

Several factors could significantly impact this market between now and Oct 25, 2026. Any news regarding key player injuries or suspensions for either Syracuse or North Carolina would likely cause price fluctuations. Unexpected changes in coaching strategies or team performance during other games could also influence trader sentiment. Major weather forecasts impacting game conditions could also play a role. Furthermore, public perception shifts—driven by media coverage or expert analysis—can contribute to changes in the market’s pricing, reflecting the evolving collective forecast for the Syracuse-North Carolina game.