TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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FC Universitatea Cluj vs. SK Brann
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What is the result of FC Universitatea Cluj vs. SK Brann?

Volume:
$39,461

Draw (FC Universitatea Cluj vs. SK Brann)

 - Polymarket

Draw (FC Universitatea Cluj vs. SK Brann) - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 23, 2026

Closed: Jul 23, 4:59 PM EST

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Polymarket

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

Draw (FC Universitatea Cluj vs. SK Brann)

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$3,389
N/A
N/A
N/A
Settled
Yes
polymarket

SK Brann

0%
Yes 0¢No 100¢
—
N/A
$29,521
N/A
N/A
N/A
Settled
No
polymarket

FC Universitatea Cluj

0%
Yes 0¢No 100¢
—
N/A
$6,552
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event is for the upcoming UEFA Europa Conference League game, scheduled for Thursday, July 23, 2026 between FC Universitatea Cluj and SK Brann.

Polymarket

This event is for the upcoming UEFA Europa Conference League game, scheduled for Thursday, July 23, 2026 between FC Universitatea Cluj and SK Brann.

Frequently asked questions

On Polymarket, the dashboard for the Cluj vs. Brann football match displays real-time odds and price movements as traders buy and sell shares tied to the match outcome. You can monitor the current implied probability for each result, review historical price charts, and track total trading volume across all outcomes. The interface updates continuously, letting you see how market sentiment shifts as kickoff approaches. This dashboard consolidates all trading activity in one place, making it easy to spot momentum and compare different outcome probabilities at a glance.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. For this market, comparing the implied probabilities here to those offered by traditional sportsbooks can reveal where the two communities disagree on the likely result. Prediction markets tend to be efficient at pricing major events, though sharp sportsbook traders and market participants may spot discrepancies worth exploring.

On Polymarket, this market is priced through an automated market maker that converts trader activity into real-time odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy shares in one outcome, its price rises and the implied probability adjusts accordingly. The spread between bid and ask prices reflects the current liquidity and conviction in the market. You can enter or exit positions at any time before resolution, and your trade executes at the price determined by the depth of the order book at that moment.

This market resolves around Jul 23, 2026, once the match concludes and the result is verifiable from credible public reporting. The outcome will be confirmed based on the official final score and result recorded by the relevant football authorities. Until that point, traders can continue to buy and sell shares as new information and team news emerge. After resolution, payouts are distributed automatically to holders of the winning outcome.

Team news—injuries, suspensions, or lineup changes—often triggers sharp price swings in football markets. Recent form, head-to-head records, and weather conditions on match day can all shift trader conviction. Major betting syndicates or informed traders entering the market with large positions may also move odds noticeably. Social media sentiment, expert punditry, and last-minute tactical announcements can influence retail traders. Watch for any developments in either squad's preparation or external factors like travel disruptions that could affect performance.