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$1,944,100,805

420,493

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PLATFORM COVERAGE:

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Virginia vs SMU: 1st Half Spread
kalshi

What is the result of Virginia vs SMU?

Volume:
$52,664

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 17, 2026

Closed: Oct 17, 1:32 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
$11,056
N/A
N/A
$8,484
Settled
Yes
kalshi

SMU wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$11,492
N/A
N/A
$9,399
Settled
No
kalshi

SMU wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$7,426
N/A
N/A
$5,851
Settled
No
kalshi

Virginia wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$4,736
N/A
N/A
$4,175
Settled
No
kalshi

SMU wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,782
N/A
N/A
$2,367
Settled
No
kalshi

SMU wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,420
N/A
N/A
$2,302
Settled
No
kalshi

Virginia wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,296
N/A
N/A
$1,973
Settled
No
kalshi

SMU wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,430
N/A
N/A
$1,430
Settled
No
kalshi

SMU wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$926
N/A
N/A
$816
Settled
No
kalshi

Virginia wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$895
N/A
N/A
$895
Settled
No
kalshi

Virginia wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$863
N/A
N/A
$863
Settled
No
kalshi

Virginia wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$859
N/A
N/A
$859
Settled
No
kalshi

SMU wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$835
N/A
N/A
$835
Settled
No
kalshi

SMU wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$790
N/A
N/A
$769
Settled
No
kalshi

SMU wins by over 20.5 points

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

Virginia wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$657
N/A
N/A
$657
Settled
No
kalshi

Virginia wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$638
N/A
N/A
$584
Settled
No
kalshi

Virginia wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$598
N/A
N/A
$596
Settled
No
kalshi

SMU wins by over 17.5 points

0%
Yes 0¢No 100¢
—
N/A
$471
N/A
N/A
$471
Settled
No
kalshi

SMU wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$373
N/A
N/A
$373
Settled
No
kalshi

Virginia wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$350
N/A
N/A
$350
Settled
No
Total markets: 21

Description

This set of markets focuses on predicting the point differential in the first half of a college football game between Virginia and SMU. Each market corresponds to a specific margin by which either team could win in the first half, allowing participants to bet on various possible outcomes.

Kalshi

All markets resolve based solely on points scored during the first half of the Virginia vs SMU college football game scheduled for October 17, 2026. A market resolves to 'Yes' if the specified team wins by more than the stated point margin in that half. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's ultimate status.

Frequently asked questions

On Kalshi, the dashboard for the Virginia vs SMU spread tracks the current price of contracts representing different point spreads for the first half of the game. You can view the historical price action, allowing you to see how the perceived probability of each spread has changed over time. The dashboard also displays the 24-hour trading volume, currently at $37,615, and the total overall volume traded in this market, which is $52,664. This provides insight into market activity and how much interest there is in various outcomes for the Virginia vs SMU spread.

Typically, prediction market odds reflect the wisdom of the crowd, often converging toward probabilities that differ from initial sportsbook lines. Sportsbooks set their odds to balance action and ensure profit, while this market allows traders to express their own beliefs about the game's outcome. Early in the market, you may see significant differences, but as more information becomes available and more people trade, the odds here often become more accurate than those offered by traditional sportsbooks. It’s common to see this market anticipate shifts in sentiment before they are reflected in sportsbook adjustments.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different point spreads for the first half of the Virginia vs SMU game. The price of each contract reflects the market’s collective assessment of the probability of that spread occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price fluctuates based on supply and demand, ultimately establishing a clear market consensus. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded, and those with incorrect beliefs may incur losses.

This market resolves around Oct 17, 2026, with the outcome confirmed once the official first-half spread of the Virginia vs SMU game is verifiable from credible public reporting. The resolution will be based on the final, official result as reported by the governing sports organization. The contract corresponding to the correct spread will pay out $1.00, while all other contracts will expire worthless. Traders should monitor official sources for the final result to understand the market's outcome.

Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Virginia or SMU teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also shift the odds. Additionally, late-breaking news about team strategies or coaching decisions could affect trader sentiment. Public perception, as reflected in polls or expert analysis, can also contribute to price fluctuations in this market.