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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Nevada vs UCLA: 1st Quarter Winner
kalshi

What is the result of Nevada vs UCLA?

Volume:
$6,664

UCLA

 - Kalshi

UCLA - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 5:03 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

UCLA

View
100%
Yes 100¢No 0¢
—
N/A
$4,112
N/A
N/A
$4,105
Settled
Yes
kalshi

Nevada

0%
Yes 0¢No 100¢
—
N/A
$1,844
N/A
N/A
$1,808
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$707
N/A
N/A
$691
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Nevada and UCLA. It focuses solely on the scoring dynamics during the initial 15 minutes of play, ignoring the rest of the game's outcome. The result depends on whether Nevada, UCLA, or neither team scores more points in that specific segment.

Kalshi

If UCLA wins the 1st quarter of the Nevada vs UCLA college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Nevada wins the 1st quarter of the Nevada vs UCLA college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Nevada vs UCLA college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Nevada vs UCLA 1st quarter market displays the current price of each outcome – which team will win the first quarter. It also provides a price history chart, allowing you to visualize how the odds have changed over time. You’ll find the total volume traded in this market, currently at $0, and the 24-hour volume, which is $0. This information helps traders understand market sentiment and potential trading opportunities related to this specific matchup.

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 aim to balance action on both sides, while this market allows traders to express their own probabilities. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously buying and selling across both venues. However, it’s important to remember that prediction markets often incorporate information faster than sportsbooks, potentially leading to more accurate probabilities as the event approaches.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s probability of that outcome occurring. As more traders buy a contract, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price movements are driven by supply and demand, influenced by news, analysis, and overall market sentiment regarding the Nevada vs UCLA game. The current volume traded indicates the level of interest and confidence in each potential first-quarter winner.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the first quarter of the Nevada vs UCLA game will determine the winning contract. The resolution will be based on the official game statistics and scorekeeping, ensuring a transparent and accurate outcome. Traders holding the winning contract will receive a payout based on the final market price at resolution.

Several factors could influence the price of this market. Any news regarding player injuries or changes to the starting lineups for either Nevada or UCLA would likely cause significant movement. Game-day weather conditions, particularly if they favor one team’s playing style, could also impact trading activity. Additionally, late-breaking analysis from sports analysts, or even shifts in public sentiment reflected in social media, can all contribute to price fluctuations in this market as traders adjust their predictions leading up to the game.