TOTAL VOLUME:

$154.8b

24H VOL:

$260,393,102

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,894,304,386

408,643

Markets across

39,771

events

MATCHED EVENTS:

4,493

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Croatia vs Spain: BTTS
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What is the result of Croatia vs Spain?

Volume:
$183,711

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 6, 2026

Closed: Oct 6, 4:18 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
100%
48%
Yes 100¢No 0¢
—
N/A
$183,711
N/A
N/A
$129,264
Settled
Yes
Total markets: 1

Description

A football match between two European teams takes place over 90 minutes, with every goal scored by either side counted in determining the match outcome.

Kalshi

If Croatia and Spain both score a goal in the Croatia vs Spain UEFA Nations League match originally scheduled for Oct 6, 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 Croatia vs Spain match tracks the current price of the 'Both Teams To Score' (BTTS) market, along with a historical price chart showing how the market has fluctuated over time. You can also see the 24-hour trading volume, which currently stands at $179,720, and the total overall volume traded, which is $183,711. This provides a clear picture of market activity and sentiment regarding whether both Croatia and Spain will score during the match. The dashboard is updated in real-time to reflect the latest trading activity.

Generally, prediction market odds often reflect the 'wisdom of the crowd,' potentially offering a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, while this market’s price is determined by traders actively buying and selling contracts based on their own beliefs about the outcome. This can lead to discrepancies, as prediction markets can sometimes incorporate information not fully captured by sportsbook algorithms. It's common to see differences in implied probabilities, with this market potentially identifying undervalued or overvalued outcomes compared to sportsbook offerings.

On Kalshi, this market is priced using a continuous double auction. Traders place buy and sell orders for contracts representing whether both teams will score in the Croatia vs Spain match. The price of a contract ranges from 0 to 100, representing the probability of the event occurring. As more traders buy contracts, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective belief of all participants trading on Kalshi regarding the likelihood of both teams finding the back of the net. This dynamic pricing mechanism ensures the market is constantly adjusting to new information and trader sentiment.

This market resolves around Oct 6, 2026, following the completion of the Croatia vs Spain match. The outcome will be determined by whether both teams score at least one goal during regular play. The result will be verified against credible public reporting of the match statistics. No extra time or penalty shootouts are considered for resolution purposes. The final scoreline, as reported by official sources, will be the basis for determining whether the 'Both Teams To Score' outcome is confirmed or not.

Several factors could influence the price of this market before Oct 6, 2026. Any news regarding key player injuries or suspensions for either Croatia or Spain would likely have a significant impact. Changes in team form, tactical adjustments, or even weather conditions could also shift trader sentiment. Unexpected results in other matches involving these teams, or broader tournament dynamics, might also play a role. Finally, large trading volume from informed traders could indicate a shift in expectations, causing the price to move accordingly. Monitoring these signals can provide insights into potential market movements.