TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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West Virginia vs Texas Tech: 1st Half Winner
kalshi

What is the result of West Virginia vs Texas Tech?

Oct 24, 2026, 6:22 PM EST - Nov 7, 2026, 6:00 PM EST
Total volume:
$0
Volume 24h:
$0N/A
Liquidity:
N/AN/A
Open interest:
$0
0%

West Virginia

 - Kalshi

West Virginia - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 04d:21h:40m

West Virginia wins the 1st half

3%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 18¢ buys you 556 shares | Odds: 3% Total Payout: $556 | Net Profit: $456 Multiplier: 5.56x | ROI: 456% APY not meaningful 4 days to resolution
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

West Virginia

Trade
3%
Yes 18¢No 85¢
3¢
N/A
$0
0%
N/A
$0
4d 21h 40m
Active
kalshi

Texas Tech

N/A
N/A
3¢
N/A
N/A
N/A
N/A
N/A
4d 21h 40m
Active
kalshi

Tie

N/A
N/A
3¢
N/A
N/A
N/A
N/A
N/A
4d 21h 40m
Active
Total markets: 3

Description

This market focuses on predicting which team will lead at the end of the first half in an upcoming college football game between West Virginia and Texas Tech. It reflects the competitive balance and performance of both teams in the initial stage of the matchup.

Kalshi

The market resolves based on the first half outcome of the West Virginia vs Texas Tech college football game scheduled for November 7, 2026. If either team leads at the end of the first half, the corresponding market will resolve to Yes. If the game ends in a tie at the half, the tie market resolves to Yes. Postponements that commence within 48 hours of the original schedule preserve the market's active status, resolving based on the official result once played. If the game fails to start within 48 hours of its scheduled time, the market resolves to a fair price, ensuring equitable treatment for all participants under varied scheduling circumstances.

Frequently asked questions

On Kalshi, the dashboard for the West Virginia vs Texas Tech 1st half market displays the current price of each possible outcome – which team wins the first half. It also provides a price history chart, showing how the price has fluctuated over time, and the 24-hour trading volume, currently at $0. The total volume traded on this market is $0. This allows traders to gauge market sentiment and identify potential trading opportunities related to the first half of this college football game.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small number of experts, while this market aggregates insights from many participants. It’s common to see initial discrepancies between the two, as sportsbooks may prioritize attracting action on both sides, whereas this market more directly represents the probability of an outcome as perceived by traders. Over time, the odds on both may converge as new information becomes available.

This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The outcome will be determined by which team is leading at the end of the first half of the West Virginia versus Texas Tech football game. Official game statistics will be used to verify the result. The market will settle to 100 for the winning team and 0 for the losing team, reflecting the binary nature of the outcome.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either West Virginia or Texas Tech would likely have a significant impact. Changes in weather conditions, particularly if they favor one team’s playing style, could also shift the odds. Furthermore, pre-game analysis from sports analysts and updated betting lines from sportsbooks could influence trader behavior. Public sentiment and large volume trades on Kalshi could also contribute to price fluctuations before the market closes.