TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Dortmund vs Frankfurt: BTTS
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Will both teams score in Dortmund vs Frankfurt?

Volume:
$28,541

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 2:26 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both Teams To Score

View
0%
63%
Yes 0¢No 100¢
—
N/A
$28,541
N/A
N/A
$20,765
Settled
No
Total markets: 1

Description

This event examines the Bundesliga encounter between Dortmund and Frankfurt, determining if both clubs score at least one goal apiece during the match's regular duration of 90 minutes and stoppage time. Performance in extra time or penalty shootouts does not influence the result.

Kalshi

If Dortmund and Frankfurt both score a goal in the Dortmund vs Frankfurt Bundesliga match originally scheduled for Oct 24, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Dortmund vs Frankfurt match tracks the current price of the 'Both Teams To Score' outcome, providing a visual representation of how traders are valuing the likelihood of both teams finding the net. It also displays the 24-hour trading volume, currently at $18,538, and the total volume traded to date, which stands at $28,541. You can see how the price has fluctuated over time with the price history chart, giving insight into market sentiment and potential turning points as the match approaches.

Typically, prediction markets like this one tend to offer odds that are competitive with, and sometimes even more accurate than, those found at traditional sportsbooks. This is because prediction markets aggregate the wisdom of the crowd, allowing the collective intelligence of traders to influence the price. While sportsbooks set odds based on models and expert opinions, this market reflects real money being put behind beliefs about the outcome. It’s common to see prediction market prices adjust more rapidly to new information than sportsbook odds.

On Kalshi, this market is priced using a continuous double auction, meaning traders can buy and sell contracts representing their belief about whether both teams will score in the Dortmund vs Frankfurt match. The price of a contract reflects the probability of that outcome occurring, with higher prices indicating a greater perceived chance. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders aim to profit by correctly predicting the outcome and capitalizing on discrepancies between their beliefs and the market price. The current price is determined entirely by supply and demand from traders on the Kalshi exchange.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on whether both Dortmund and Frankfurt score at least one goal during the scheduled match time, including any added injury or stoppage time. The official match result, as reported by a recognized sports data provider, will be used to determine the winning outcome. No further details regarding the specific process are available at this time.

Several factors could significantly impact this market. Any news regarding key player injuries or suspensions for either Dortmund or Frankfurt would likely cause price movement. Changes in team form, tactical adjustments, or even weather conditions on match day could also influence trader sentiment. Unexpected lineup announcements closer to kickoff, or even significant pre-match commentary from analysts, could all contribute to shifts in the price of this market. Monitoring these factors will be key to understanding potential trading opportunities.