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.

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Buffalo vs Las Vegas: Race to 35 Points
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What is the result of Buffalo vs Las Vegas?

Volume:
$10,901

Neither team

 - Kalshi

Neither team - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 7:37 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

Neither team

View
100%
Yes 100¢No 0¢
—
N/A
$8,442
N/A
N/A
$5,778
Settled
Yes
kalshi

Buffalo

0%
Yes 0¢No 100¢
—
N/A
$2,207
N/A
N/A
$1,728
Settled
No
kalshi

Las Vegas

0%
Yes 0¢No 100¢
—
N/A
$252
N/A
N/A
$246
Settled
No
Total markets: 3

Description

In a separate matchup, Buffalo and Las Vegas face off, with the first to score 35 points immediately shaping in-game betting narratives and audience anticipation.

Kalshi

Markets resolve based on which team first scores 35 points in the full game, including overtime. If neither team reaches 35 points, the Neither Team market resolves to Yes. Postponements within 48 hours of the original start time keep markets open; delays beyond that result in fair price resolution.

Frequently asked questions

On Kalshi, the dashboard for the Buffalo vs Las Vegas points race tracks the current odds of either team reaching 35 points first, the price history of contracts representing each outcome, and the 24-hour trading volume. Currently, the total volume for this market is $10,901, with $10,746 traded in the last day. You can see how the market is valuing each team’s chances in real-time, and observe changes in sentiment as new information becomes available. The dashboard provides a clear visual representation of market activity for this specific event.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set lines to balance action and incorporate a profit margin, while this market is driven purely by traders’ beliefs about the likelihood of each team reaching 35 points first. Discrepancies can arise due to differing information, biases, or simply the dynamics of each market. If sportsbook odds heavily favor one team, but this market shows a more even split, it suggests traders believe the sportsbook is undervaluing the other team’s chances.

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 probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts for a particular team, the price increases, indicating a higher perceived probability. Conversely, selling pressure drives prices down. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations regarding the Buffalo vs Las Vegas points race.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team, Buffalo or Las Vegas, reaches 35 points first during the game. The final score will be verified against official game statistics to determine the winning outcome. Traders holding contracts on the correct outcome will be paid out according to the final market price at resolution, while those holding contracts on the incorrect outcome will forfeit their investment.

Several factors could significantly impact this market. Any news regarding key player injuries for either Buffalo or Las Vegas would likely cause a shift in the odds. Changes in weather forecasts, particularly if they favor one team’s offensive style, could also influence trading activity. Furthermore, performance in prior games, updated team statistics, and even public sentiment expressed through social media or sports analysts’ predictions can all contribute to movements in this market. Unexpected coaching decisions or in-game adjustments could also play a role.