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West Virginia vs Texas Tech: Overtime
🌟New
kalshi

What is the result of West Virginia vs Texas Tech?

Nov 1, 2026, 1:31 AM EST - Nov 8, 2026, 12:30 AM EST
Total volume:
$6
Volume 24h:
N/AN/A
Liquidity:
N/AN/A
Open interest:
$6
806%

Game goes to overtime

 - Kalshi

Game goes to overtime - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 8, 2026

Time left: 05d:08h:46m

Game goes to overtime

6%chance
Amount

$

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Join Kalshi and score $25 for your first trade.At 7¢ buys you 1,429 shares | Odds: 6% Total Payout: $1,429 | Net Profit: $1,329 Multiplier: 14.29x | ROI: 1,329% APY not meaningful 5 days to resolution
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Game goes to overtime

Trade
6%
Yes 7¢No 94¢
1¢
N/A
$6
0%
N/A
$6
5d 8h 46m
Active
Total markets: 1

Description

This market tracks whether the West Virginia vs Texas Tech college football game scheduled for November 7, 2026, will go into overtime. An overtime period begins after regulation time ends, and counts as played once it officially starts, regardless of how long it lasts or whether both teams get a chance to possess the ball.

Kalshi

If at least 1 overtime period is played in the West Virginia vs Texas Tech college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the West Virginia vs Texas Tech game tracks the current price of contracts representing whether the game will go to overtime. You’ll find a price history chart showing how the market has fluctuated, along with the total volume traded – currently $6 – and the 24-hour volume, which is $6. This allows you to see how much activity there has been recently and gauge the overall interest in this particular outcome. The dashboard provides a real-time view of where traders stand on the likelihood of overtime.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which may be influenced by factors like public perception or early betting action. Sportsbooks set lines to balance betting volume, while this market allows traders to express their independent beliefs about the probability of the West Virginia vs Texas Tech game going to overtime. It's common to see prediction markets move independently of sportsbook odds as new information emerges and traders adjust their positions. Often, prediction markets are more accurate than traditional polls or expert forecasts.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of the game going to overtime, and the price fluctuates based on supply and demand. When more people buy contracts, the price increases, indicating a higher perceived probability. Conversely, increased selling pressure lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective assessment of all traders participating in this market, providing a dynamic and real-time estimate of the likelihood of overtime in the West Virginia vs Texas Tech game. The volume of $6 shows how actively it's being traded.

This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on whether the West Virginia vs Texas Tech game officially goes into overtime according to the official game results. The platform will verify the result against publicly available data to determine whether the contracts will pay out. Traders should monitor official sources for the final game outcome as the resolution date approaches, as this will determine the payout for all contracts held in this market.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either West Virginia or Texas Tech would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring a lower-scoring, closer game, could also shift trader sentiment. Game day updates, such as early scoring drives or defensive struggles, will undoubtedly impact the market as traders react to the unfolding events. Even broader factors, like public betting trends and expert analysis, can contribute to price fluctuations in this market.