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SMU vs Syracuse: 1st Quarter Spread
kalshi

What is the result of SMU vs Syracuse?

Volume:
$32,943

SMU wins by over 2.5 points

 - Kalshi

SMU wins by over 2.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 12:45 PM EST

kalshi

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

SMU wins by over 2.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$12,987
N/A
N/A
$8,097
Settled
Yes
kalshi

SMU wins by over 3.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$5,036
N/A
N/A
$3,811
Settled
No
kalshi

Syracuse wins by over 2.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$3,780
N/A
N/A
$1,924
Settled
No
kalshi

Syracuse wins by over 3.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$3,534
N/A
N/A
$2,345
Settled
No
kalshi

Syracuse wins by over 6.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$2,965
N/A
N/A
$2,134
Settled
No
kalshi

SMU wins by over 6.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$2,524
N/A
N/A
$1,561
Settled
No
kalshi

SMU wins by over 10.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$606
N/A
N/A
$606
Settled
No
kalshi

Syracuse wins by over 10.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$601
N/A
N/A
$308
Settled
No
kalshi

SMU wins by over 7.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$506
N/A
N/A
$506
Settled
No
kalshi

Syracuse wins by over 7.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$402
N/A
N/A
$400
Settled
No
Total markets: 10

Description

These markets focus on predicting the point differential in the first quarter of a college football game between SMU and Syracuse. Outcomes depend on whether one team establishes a significant lead over the other within the initial 15 minutes of play.

Kalshi

All markets resolve based solely on points scored during the first quarter of the designated SMU vs Syracuse college football game. A 'Yes' outcome occurs when the specified team wins by exceeding the stated point margin. If the game is postponed but commences within 48 hours of its original schedule, markets remain active and resolve per the actual first-quarter result. Should the game fail to start within this window, all markets settle at a fair price. Each market defines a unique point-spread threshold for either SMU or Syracuse to overcome in the first quarter for resolution.

Frequently asked questions

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market allows traders to directly assess probabilities. It’s common to see prediction markets reflect the 'wisdom of the crowd,' potentially identifying discrepancies or inefficiencies in sportsbook lines. However, it's important to remember that both represent beliefs about the likelihood of an event, and can be influenced by public perception and new information. Comparing the two can be a useful exercise for informed decision-making.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the SMU vs Syracuse spread. The price of each contract reflects the market’s collective assessment of its probability. 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 becomes available, the prices adjust dynamically, providing a real-time indication of expectations. The current price indicates the cost to take one side of the spread, and reflects the perceived edge or disadvantage of each team in the first quarter.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final score difference in the first quarter of the SMU vs Syracuse game will be used to determine whether SMU wins by over 7.5 points, or if Syracuse covers the spread. The official game results, as reported by a trusted sports data source, will serve as the basis for settlement. Traders will be able to see the final outcome reflected in their account balances shortly after the game concludes.

Several factors could influence the price of this market before it resolves. Any news regarding injuries to key players on either the SMU or Syracuse teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the game, could also shift expectations. Additionally, late-breaking news about team strategies or coaching decisions could influence trader sentiment. Finally, large volume trades on Kalshi itself can create short-term price fluctuations, reflecting shifts in trader confidence.