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Syracuse vs North Carolina: Total Points
kalshi

What is the result of Syracuse vs North Carolina?

Volume:
$992,350

Over 47.5 points

 - Kalshi

Over 47.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 11:09 PM EST

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

Over 47.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$413,022
N/A
N/A
$281,682
Settled
Yes
kalshi

Over 48.5 points

100%
49%
Yes 100¢No 0¢
—
N/A
$189,760
N/A
N/A
$162,252
Settled
Yes
kalshi

Over 46.5 points

100%
46%
Yes 100¢No 0¢
—
N/A
$119,741
N/A
N/A
$104,957
Settled
Yes
kalshi

Over 60.5 points

100%
Yes 100¢No 0¢
—
N/A
$60,588
N/A
N/A
$51,318
Settled
Yes
kalshi

Over 51.5 points

100%
Yes 100¢No 0¢
—
N/A
$40,086
N/A
N/A
$27,800
Settled
Yes
kalshi

Over 54.5 points

100%
Yes 100¢No 0¢
—
N/A
$30,743
N/A
N/A
$17,309
Settled
Yes
kalshi

Over 57.5 points

100%
Yes 100¢No 0¢
—
N/A
$14,386
N/A
N/A
$7,776
Settled
Yes
kalshi

Over 43.5 points

100%
36%
Yes 100¢No 0¢
—
N/A
$12,753
N/A
N/A
$9,491
Settled
Yes
kalshi

Over 44.5 points

100%
Yes 100¢No 0¢
—
N/A
$11,491
N/A
N/A
$10,324
Settled
Yes
kalshi

Over 42.5 points

100%
Yes 100¢No 0¢
—
N/A
$9,988
N/A
N/A
$4,976
Settled
Yes
kalshi

Over 45.5 points

100%
43%
Yes 100¢No 0¢
—
N/A
$8,448
N/A
N/A
$7,187
Settled
Yes
kalshi

Over 39.5 points

100%
26%
Yes 100¢No 0¢
—
N/A
$2,964
N/A
N/A
$1,873
Settled
Yes
kalshi

Over 24.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,821
N/A
N/A
$2,821
Settled
Yes
kalshi

Over 36.5 points

100%
22%
Yes 100¢No 0¢
—
N/A
$1,171
N/A
N/A
$1,060
Settled
Yes
kalshi

Over 27.5 points

100%
8%
Yes 100¢No 0¢
—
N/A
$909
N/A
N/A
$909
Settled
Yes
kalshi

Over 33.5 points

100%
Yes 100¢No 0¢
—
N/A
$774
N/A
N/A
$774
Settled
Yes
kalshi

Over 30.5 points

100%
Yes 100¢No 0¢
—
N/A
$498
N/A
N/A
$498
Settled
Yes
kalshi

Over 63.5 points

0%
Yes 0¢No 100¢
—
N/A
$69,803
N/A
N/A
$61,608
Settled
No
kalshi

Over 66.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,404
N/A
N/A
$1,489
Settled
No
Total markets: 19

Description

This event tracks whether the combined score of Syracuse and North Carolina in their college football game scheduled for October 24, 2026, exceeds various thresholds. Each threshold represents a different level of scoring intensity, allowing participants to assess the likelihood of high-scoring outcomes.

Kalshi

The event evaluates multiple thresholds for the total points scored by both teams in the Syracuse vs North Carolina college football game scheduled for October 24, 2026. Each threshold specifies a point total; if the combined score exceeds that threshold, the corresponding market resolves to 'Yes.' If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve based on the final official score. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold being evaluated.

Frequently asked questions

On Kalshi, the dashboard for the Syracuse-North Carolina points total tracks the current price of contracts representing beliefs about whether the total points scored in the game will be over or under a certain threshold. It also displays the 24-hour trading volume, which is currently $698,810, and the total volume traded to date, reaching $992,350. Traders on Kalshi are actively buying and selling, influencing the price and reflecting the collective prediction of the crowd. The dashboard provides a real-time view of market sentiment regarding the final score.

Typically, prediction market odds reflect a wisdom-of-the-crowd perspective, often incorporating information and analysis not immediately available to traditional sportsbooks. While sportsbooks set initial lines based on team statistics and expert opinions, this market allows for continuous adjustment as new information emerges, such as injury reports or weather forecasts. It’s common to see prediction markets and sportsbook odds converge closer to the event, but differences can persist due to varying levels of information access and differing incentives among participants. The current dynamics suggest a divergence in expectations compared to traditional betting venues.

On Kalshi, this market is priced using a continuous double auction. Traders buy 'yes' contracts if they believe the total points scored will be over the specified threshold, and 'no' contracts if they believe it will be under. The price of these contracts fluctuates based on supply and demand, representing the probability of each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price tends to reflect a more accurate collective prediction. The current price indicates what traders are willing to pay or receive for a contract that pays out $1 if their prediction is correct.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final points total from the Syracuse versus North Carolina basketball game will be used to determine whether the 'over' or 'under' contracts will pay out. The official scorekeeping from the game serves as the basis for settlement. Traders holding contracts on the correct side of the points total will receive a payout, while those on the incorrect side will forfeit their investment. The resolution process ensures a transparent and objective outcome.

Several factors could influence the price of this market. Any news regarding key player injuries for either Syracuse or North Carolina would likely cause significant movement. Changes in weather conditions, particularly if they affect playing style or scoring, could also impact trading activity. Unexpected coaching decisions or shifts in team strategy could also be catalysts. Furthermore, late-breaking news about team morale or internal conflicts could sway traders' opinions. The market will continuously react to new information as it becomes available, reflecting the evolving probabilities of different outcomes.