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%

BETA
Dashboards
Tour
All
Sports
BC Lokomotiv Kuban vs BC Samara
kalshi

What is the result of BC Lokomotiv Kuban vs BC Samara?

Volume:
$2,678

BC Lokomotiv Kuban

 - Kalshi

BC Lokomotiv Kuban - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 25, 2026

Closed: Oct 25, 10:54 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

BC Lokomotiv Kuban

View
100%
14%
Yes 100¢No 0¢
—
N/A
$1,395
N/A
N/A
$1,299
Settled
Yes
kalshi

BC Samara

0%
Yes 0¢No 100¢
—
N/A
$1,283
N/A
N/A
$1,244
Settled
No
Total markets: 2

Description

This market tracks the outcome of a professional basketball game between two Russian teams. The result depends solely on which team secures a victory in the match scheduled for a specific date and time. Any changes to the game's timing or cancellation will follow predefined resolution guidelines.

Kalshi

If BC Samara wins the BC Lokomotiv Kuban vs BC Samara men's professional Russia VTB United basketball game originally scheduled for Oct 25, 2026 at 9:00 AM EDT, then the market resolves to Yes. If BC Lokomotiv Kuban wins the BC Lokomotiv Kuban vs BC Samara men's professional Russia VTB United basketball game originally scheduled for Oct 25, 2026 at 9:00 AM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Lokomotiv Kuban vs Samara game tracks the current price of contracts representing the outcome of the game. You'll find the best available price to buy or sell, a history of price movements over time, and the 24-hour trading volume. Currently, the total volume for this market is $2,678, with $2,622 traded in the last 24 hours. This allows participants to see how confidence in different outcomes is shifting and to react accordingly.

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. If a large number of traders believe a sportsbook’s odds are inaccurate, they can take positions in this market that push the price toward what they believe is the true probability. This dynamic can lead to discrepancies between the two, offering opportunities for informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the outcome of the Lokomotiv Kuban vs Samara game. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price adjusts to reflect the collective intelligence of the market. This creates a dynamic pricing mechanism driven by supply and demand, rather than a fixed oddsmaker.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Lokomotiv Kuban vs Samara game, as reported by a recognized sports authority. Traders holding contracts on the winning outcome will receive a payout, while those holding contracts on the losing outcome will forfeit their investment. The precise details of the resolution are governed by Kalshi’s market rules.

Several factors could influence the price of this market before Oct 25, 2026. Any news regarding player injuries, changes in team lineups, or coaching decisions could significantly impact the perceived probability of each team winning. Unexpected announcements about game location or conditions could also play a role. Furthermore, large trading volume from informed participants, or even shifts in public sentiment reflected in other sources, can all contribute to price movements in this market.