TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Virginia Tech vs California: 2nd Quarter Winner
kalshi

What is the result of Virginia Tech vs California?

Volume:
$15,932

Virginia Tech

 - Kalshi

Virginia Tech - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 5:12 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 Tech

View
100%
Yes 100¢No 0¢
—
N/A
$7,793
N/A
N/A
$3,129
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$5,228
N/A
N/A
$4,908
Settled
No
kalshi

California

0%
Yes 0¢No 100¢
—
N/A
$2,910
N/A
N/A
$1,891
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of an upcoming college football game between Virginia Tech and California. It provides a way to speculate on short-term performance during a specific segment of the game, rather than the final outcome.

Kalshi

If California wins the 2nd quarter of the Virginia Tech vs California college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Virginia Tech wins the 2nd quarter of the Virginia Tech vs California college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Virginia Tech vs California college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Virginia Tech vs California game tracks the current odds for each potential winner of 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 $15,932, and the total volume traded to date, which is $15,932. This provides a real-time view of how traders are assessing the likelihood of each team winning the second quarter of this game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and often incorporate a margin for profit, while this market allows traders to openly buy and sell contracts based on their own analysis. If there's a significant discrepancy, it might indicate that the market believes a sportsbook is mispricing a team's chances, or that new information hasn't yet been fully incorporated into sportsbook lines. It's common to see convergence as the event approaches.

On Kalshi, this market is priced through a continuous order book where traders can buy 'yes' contracts (betting on a specific team winning the 2nd quarter) or sell 'no' contracts. The price of each contract represents the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders buy 'yes' contracts for a team, the higher the price goes, reflecting increased confidence in their victory. Conversely, selling 'no' contracts lowers the price, indicating a belief that the team is less likely to win.

This market resolves around Oct 10, 2026, with the outcome confirmed once the winner of the 2nd quarter of the Virginia Tech vs California game is verifiable from credible public reporting. The official game results will be used to determine which team secured the lead at the end of the 2nd quarter, and that will be the basis for settling all outstanding contracts in this market. The resolution process is designed to be transparent and based on publicly available information.

Several factors could influence the trading activity in this market. Any news regarding injuries to key players on either the Virginia Tech or California teams would likely have a significant impact. Changes in weather forecasts, particularly if they could affect the game's playing conditions, could also shift the odds. Furthermore, any late-breaking news about team strategies or coaching decisions might prompt traders to reassess their predictions, leading to fluctuations in the price of contracts for this market.