TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Vanderbilt vs. Kentucky
predict

What is the result of Vanderbilt vs. Kentucky?

Volume:
$1,281

Vanderbilt vs. Kentucky

 - Predict

Vanderbilt vs. Kentucky - Predict

1W

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Resolved Oct 24, 2026

Closed: Oct 24, 10:30 PM EST

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Vanderbilt vs. Kentucky

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0%
Yes 0¢No 100¢
—
$80
$1,281
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Vanderbilt and Kentucky, scheduled for October 24 at 7:30PM ET: This market will resolve to "Vanderbilt" if Vanderbilt win the game. This market will resolve to "Kentucky" if Kentucky win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Predict

In the upcoming college football game between Vanderbilt and Kentucky, scheduled for October 24 at 7:30PM ET: This market will resolve to "Vanderbilt" if Vanderbilt win the game. This market will resolve to "Kentucky" if Kentucky win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Predict, the dashboard for the Vanderbilt vs. Kentucky game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time, giving you a sense of where the crowd stands. Currently, the total volume for this market is $1,281, with $1,207 traded in the last 24 hours. This provides insight into the level of interest and activity surrounding predictions for this college basketball matchup.

Typically, prediction market odds offer a distinct perspective compared to traditional sportsbook odds. Sportsbooks often incorporate a 'vig' or commission into their lines, while this market reflects the collective wisdom of traders. If prediction market odds significantly diverge from sportsbook lines, it could indicate disagreement about the true probability of an outcome. It’s common to see prediction markets more accurately forecast event outcomes, as they aggregate diverse opinions and incentivize informed trading.

On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, reflecting the collective belief of participants. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people believe an outcome is likely, the price of contracts representing that outcome will increase, and vice versa. This dynamic pricing mechanism aims to provide a real-time assessment of probabilities as perceived by the crowd.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Vanderbilt vs. Kentucky game, as officially recorded by relevant sports authorities, will determine the winning outcome. Resolution is based on the official game results and is not dependent on any subjective interpretation. Traders will then be able to claim their winnings based on the final outcome.

Several signals could significantly impact this market. News regarding key player injuries or suspensions for either Vanderbilt or Kentucky would likely cause shifts in the odds. Unexpected coaching changes, significant changes in team performance leading up to the game, or even major weather forecasts impacting travel could also move the market. Public sentiment, reflected in analyst predictions and media coverage, can also influence trading activity and, consequently, the prices within this market.