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West Virginia vs Iowa St.: 4th Quarter Winner
kalshi

What is the result of West Virginia vs Iowa St.?

Volume:
$11,071

Iowa St.

 - Kalshi

Iowa St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:36 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

Iowa St.

View
100%
Yes 100¢No 0¢
—
N/A
$3,773
N/A
N/A
$2,576
Settled
Yes
kalshi

West Virginia

0%
Yes 0¢No 100¢
—
N/A
$5,294
N/A
N/A
$4,419
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$2,004
N/A
N/A
$1,649
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the final quarter of a college football game between West Virginia and Iowa State. It tracks the performance of each team specifically in the last 15 minutes of regulation time, excluding any overtime periods. The outcome depends solely on who holds the scoring advantage in that quarter.

Kalshi

If Iowa St. wins the 4th quarter (excluding overtime) of the West Virginia vs Iowa St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If West Virginia wins the 4th quarter (excluding overtime) of the West Virginia vs Iowa St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the West Virginia vs Iowa St. college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the West Virginia vs Iowa State game tracks the current odds for each team to win the 4th 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 $11,071, and the total volume traded to date, which is $11,071. This provides a real-time view of where traders are placing their bets and how the perceived probability of each outcome is evolving. The dashboard is a key tool for understanding market sentiment surrounding this matchup.

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. As more information becomes available – such as injury reports or weather forecasts – the odds in this market can adjust rapidly, potentially providing a more up-to-date assessment of each team's chances than traditional sportsbook lines. It's common to see discrepancies, especially before significant events influencing the game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market's collective belief about the likelihood of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As traders exchange positions, the prices adjust to find an equilibrium point where buyers and sellers agree on value. This dynamic pricing mechanism means the odds are constantly updating based on new information and changing sentiment regarding the West Virginia vs Iowa State game.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 4th quarter of the West Virginia vs Iowa State game will be declared the winner of this market. The resolution will be based on official game statistics and results as reported by a trusted sports data source. Traders will then be able to claim their winnings or settle their losing positions based on the final outcome.

Several signals could significantly impact this market. Any news regarding key player injuries for either West Virginia or Iowa State would likely cause a shift in the odds. Unexpected changes in weather conditions, particularly if they favor one team's playing style, could also move the market. Furthermore, late-breaking news about coaching decisions or team morale could influence trader sentiment. Finally, as the game draws closer, any public statements from analysts or experts offering strong opinions on the likely winner may also affect trading activity in this market.