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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Brose Bamberg vs Baskets Oldenburg
kalshi

What is the result of Brose Bamberg vs Baskets Oldenburg?

Volume:
$43,013

Brose Bamberg

 - Kalshi

Brose Bamberg - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 23, 2026

Closed: Oct 23, 3:56 PM EST

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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

Brose Bamberg

View
100%
Yes 100¢No 0¢
—
N/A
$20,163
N/A
N/A
$15,865
Settled
Yes
kalshi

Baskets Oldenburg

0%
Yes 0¢No 100¢
—
N/A
$22,851
N/A
N/A
$10,215
Settled
No
Total markets: 2

Description

This market tracks the outcome of a professional basketball game between two German teams competing in their national league. The event will determine which team secures a victory in a scheduled match. Results are based on the official game conclusion, with specific guidelines for postponements or cancellations.

Kalshi

If Baskets Oldenburg wins the Brose Bamberg vs Baskets Oldenburg men's professional Germany BBL basketball game originally scheduled for Oct 23, 2026 at 2:00 PM EDT, then the market resolves to Yes. If Brose Bamberg wins the Brose Bamberg vs Baskets Oldenburg men's professional Germany BBL basketball game originally scheduled for Oct 23, 2026 at 2:00 PM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the German Basketball League market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities of different outcomes are changing over time, as well as the total volume traded in this market, currently at $43,013. The 24-hour volume is $42,677, indicating recent trading activity. This provides a real-time view of where traders stand on the likely result of the Brose Bamberg versus Baskets Oldenburg game.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. While sportsbooks set odds based on statistical models and expert analysis, this market aggregates the opinions of individuals willing to put their money behind their beliefs. Discrepancies can arise due to differing information, biases, or simply the dynamics of supply and demand within the prediction market. It’s worthwhile to compare the implied probabilities from both sources to identify potential value or discrepancies in expectations.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the evolving consensus. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a market maker system to ensure there are always bids and asks available, facilitating trading and price discovery. This dynamic pricing mechanism allows for a fluid and responsive market.

This market resolves around Oct 23, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Brose Bamberg versus Baskets Oldenburg game will be used to determine the winning contract. The platform will verify the result against official game statistics and reporting from reputable sports news sources. Traders holding the winning contract will receive a payout based on the final market price at resolution, while those holding losing contracts will forfeit their investment.

Several factors could influence the price movement of this market before Oct 23, 2026. Any news regarding player injuries, changes in team lineups, or coaching strategies could significantly impact trader sentiment. Unexpected performance in preceding games, or even media coverage highlighting a team's strengths or weaknesses, could also shift the odds. Major upsets in other games within the German Basketball League could also indirectly affect perceptions of team strength and influence trading activity in this market.