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Virginia vs SMU: First Team to Score a TD
kalshi

What team scores first in Virginia vs SMU?

Volume:
$2,720

Virginia

 - Kalshi

Virginia - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 12:53 PM EST

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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

Virginia

View
100%
67%
Yes 100¢No 0¢
—
N/A
$2,102
N/A
N/A
$2,045
Settled
Yes
kalshi

SMU

0%
75%
Yes 0¢No 100¢
—
N/A
$587
N/A
N/A
$414
Settled
No
kalshi

No team

0%
Yes 0¢No 100¢
—
N/A
$31
N/A
N/A
$31
Settled
No
Total markets: 3

Description

This market tracks which team will score the first touchdown in an upcoming college football game between Virginia and SMU. It covers all types of touchdowns, including those scored by offense, defense, or special teams, and accounts for scenarios where the game might go into overtime. The outcome depends purely on the sequence of scoring, not the final game result.

Kalshi

The event determines which team scores the first touchdown in the Virginia vs SMU college football game scheduled for October 17, 2026, with three possible outcomes: SMU scores first, Virginia scores first, or neither team scores a touchdown during the entire game, including any overtime periods. All touchdown types—offensive, defensive, and special teams—are counted toward the resolution. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves based on the official result. Should the game fail to start within this 48-hour window, the market resolves to a fair price. The markets are independent of any official NCAA affiliation, and all trademarks and brand names remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Virginia vs SMU first TD market displays the current prices for each team to score the first touchdown. You can view the historical price action, allowing you to analyze how the market has moved over time. The dashboard also shows the 24-hour trading volume, which is currently $2,648, and the total overall volume traded in this market, totaling $2,720. This provides insight into the level of interest and activity surrounding this particular prediction.

Generally, prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. Therefore, discrepancies can arise due to differing information or perspectives. It’s common to see this market incorporate information and opinions that haven’t yet been fully priced into traditional sportsbook lines, leading to potentially different probabilities assigned to each team scoring first.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team scoring the first touchdown. The price of a contract reflects the market’s collective belief about that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the evolving consensus. The market operates much like a stock exchange, with prices fluctuating based on supply and demand, and traders aiming to profit from correctly predicting the outcome.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team officially scores the first touchdown in the Virginia vs SMU game, as determined by official game statistics. The platform will verify the result against established sports data sources to ensure accuracy and fairness. Traders holding contracts on the winning team will receive a payout, while those holding contracts on the losing team will not.

Several factors could influence the price of this market. Any news regarding key player injuries for either Virginia or SMU would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s offensive style, could also impact trading activity. Additionally, late-breaking reports about team strategies or coaching decisions might sway the market. Finally, general shifts in public sentiment, even those not directly related to on-field performance, can contribute to price fluctuations in this market.