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Old Dominion vs Virginia Tech: 2nd Quarter Winner
kalshi

What is the result of Old Dominion vs Virginia Tech?

Volume:
$14,607

Virginia Tech wins 2nd Quarter

 - Kalshi

Virginia Tech wins 2nd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 12, 2026

Closed: Sep 12, 2:03 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

Virginia Tech wins 2nd Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$12,153
N/A
N/A
$11,858
Settled
Yes
kalshi

Tie 2nd Quarter

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

Old Dominion wins 2nd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,145
N/A
N/A
$1,145
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of a college football game between Old Dominion and Virginia Tech. The outcome depends solely on the scoring during that specific quarter, independent of the overall game result.

Kalshi

If Virginia Tech wins the 2nd quarter of the Old Dominion vs Virginia Tech college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If Old Dominion wins the 2nd quarter of the Old Dominion vs Virginia Tech college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Old Dominion vs Virginia Tech college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Old Dominion vs Virginia Tech game tracks the current odds for each possible outcome in the 2nd quarter, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $14,607, and the total overall volume traded in this market, which is $14,607. This provides a real-time view of where traders are placing their bets and how the perceived probability of each outcome is evolving.

Often, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set their lines to balance action and ensure profit, while this market represents the collective prediction of informed traders. If a significant discrepancy exists, it might suggest that the market believes a sportsbook has mispriced the probability of a particular outcome. It's also common to see prediction markets move faster than sportsbooks in response to new information or breaking news related to the Old Dominion vs Virginia Tech game.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome—who will win the 2nd quarter of the Old Dominion vs Virginia Tech game—and the prices of these contracts determine the implied probabilities. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of a contract reflects the market's assessment of the likelihood of that outcome occurring. As more traders participate and new information becomes available, the prices adjust, providing a dynamic and real-time forecast. Higher volume generally indicates greater confidence in the current price.

This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the 2nd quarter of the Old Dominion vs Virginia Tech game, as officially recorded by the governing sports organization, will determine the winning contract. The platform will then process the results and settle all outstanding contracts accordingly. Traders holding contracts for the winning outcome will receive a payout, while those holding contracts for losing outcomes will forfeit their investment.

Several factors could significantly influence this market before the game concludes. Any news regarding key player injuries for either Old Dominion or Virginia Tech would likely cause price fluctuations. Changes in weather forecasts, particularly if they impact playing conditions, could also shift the odds. Unexpected announcements about coaching strategies or team morale could also play a role. Finally, even public sentiment and large bets from influential traders on Kalshi can move the market, reflecting shifts in perceived probability as the game approaches.