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Virginia vs SMU: 2nd Half Spread
kalshi

What is the result of Virginia vs SMU?

Volume:
$18,998

SMU wins by over 4.5 points

 - Kalshi

SMU wins by over 4.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 3:26 PM EST

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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 4.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$2,958
N/A
N/A
$2,629
Settled
Yes
kalshi

SMU wins by over 6.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,839
N/A
N/A
$1,744
Settled
Yes
kalshi

SMU wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,736
N/A
N/A
$1,319
Settled
Yes
kalshi

SMU wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,565
N/A
N/A
$1,124
Settled
Yes
kalshi

Virginia wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,309
N/A
N/A
$1,179
Settled
No
kalshi

Virginia wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,170
N/A
N/A
$967
Settled
No
kalshi

Virginia wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$906
N/A
N/A
$906
Settled
No
kalshi

SMU wins by over 17.5 points

0%
Yes 0¢No 100¢
—
N/A
$903
N/A
N/A
$814
Settled
No
kalshi

Virginia wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$900
N/A
N/A
$798
Settled
No
kalshi

Virginia wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$673
N/A
N/A
$621
Settled
No
kalshi

SMU wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$626
N/A
N/A
$523
Settled
No
kalshi

SMU wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$558
N/A
N/A
$550
Settled
No
kalshi

SMU wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$544
N/A
N/A
$541
Settled
No
kalshi

Virginia wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$508
N/A
N/A
$456
Settled
No
kalshi

Virginia wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$489
N/A
N/A
$452
Settled
No
kalshi

SMU wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$434
N/A
N/A
$411
Settled
No
kalshi

SMU wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$424
N/A
N/A
$423
Settled
No
kalshi

Virginia wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$417
N/A
N/A
$413
Settled
No
kalshi

SMU wins by over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$371
N/A
N/A
$366
Settled
No
kalshi

Virginia wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$367
N/A
N/A
$348
Settled
No
kalshi

SMU wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$302
N/A
N/A
$302
Settled
No
Total markets: 21

Description

These markets track how decisively either team wins the second half of an upcoming college football game, focusing specifically on the point differential after two quarters of play. Outcomes depend entirely on the scoring margin in the latter half of the contest.

Kalshi

All markets resolve based solely on points scored during the second half (including overtime) of the designated Virginia vs SMU college football game. Each market corresponds to a specific point threshold: if SMU's second-half point differential exceeds the stated margin, those markets resolve 'Yes'; conversely, if Virginia's second-half margin surpasses its respective threshold, those markets resolve 'Yes'. Should the game be postponed but commence within 48 hours of its original schedule, all markets remain active and resolve per the final result. If play does not begin within this window, all markets settle at a fair price. No first-half performance or total game points influence resolution; only second-half scoring determines outcomes.

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 second half of the game. You’ll find a price history chart to visualize how the market has moved over time, as well as the 24-hour trading volume, currently at $9,159. Total volume across all contracts for this market is $18,998. The dashboard provides a real-time view of where traders believe the actual spread will land, offering insight beyond traditional odds.

Generally, prediction market odds often reflect the ‘wisdom of the crowd’ and can differ from those initially set by sportsbooks. Sportsbooks establish lines to balance betting action, while this market’s price is driven by individuals willing to buy or sell contracts based on their own analysis. This can lead to discrepancies, especially as new information emerges or public sentiment shifts. It’s common to see prediction markets move more quickly to incorporate new data than traditional odds, potentially offering a more accurate forecast of the final result.

On Kalshi, this market is priced through a continuous order book where buyers and sellers set the price of contracts. Each contract represents a specific point spread for the second half of the Virginia vs SMU game. Traders can buy ‘yes’ contracts if they believe the actual spread will be greater than the contract’s spread, or sell ‘no’ contracts if they believe it will be less. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract fluctuates based on supply and demand, reflecting the collective predictions of all participants.

This market resolves around Oct 17, 2026, with the outcome confirmed once the final second-half point spread of the Virginia vs SMU game is verifiable from credible public reporting. The official result, as reported by a trusted sports data source, will determine whether contracts settle at $100 (for winning ‘yes’ contracts) or $0 (for losing ‘no’ contracts). The resolution process ensures a transparent and objective determination of the market’s outcome, based on the actual game results.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the Virginia or SMU teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the style of play, could also affect trader sentiment. Furthermore, in-game performance during the first half, and any strategic adjustments made by the coaches, could lead to shifts in the market price as traders react to the unfolding game dynamics.