TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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FK Žalgiris Vilnius vs. SK Dinamo Tbilisi - More Markets
polymarket

What is the result of FK Žalgiris Vilnius vs. SK Dinamo Tbilisi?

Volume:
$28,594

O/U 1.5

 - Polymarket

O/U 1.5 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 31, 2026

Closed: Jul 30, 4:55 PM EST

polymarket

Polymarket

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

O/U 1.5

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$6,844
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 0.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$4,829
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 2.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$4,321
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius (-2.5)

100%
Yes 100¢No 0¢
0.1¢
N/A
$2,677
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius (-1.5)

100%
Yes 100¢No 0¢
0.1¢
N/A
$1,865
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 3.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$1,653
N/A
N/A
N/A
Settled
Yes
polymarket

Both Teams to Score

100%
Yes 100¢No 0¢
0.1¢
N/A
$1,102
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 4.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$965
N/A
N/A
N/A
Settled
Yes
polymarket

Team to Advance

100%
Yes 100¢No 0¢
5¢
N/A
$560
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 5.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$352
N/A
N/A
N/A
Settled
Yes
polymarket

1st Half O/U 1.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$308
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius O/U 1.5

100%
Yes 100¢No 0¢
0.8¢
N/A
$231
N/A
N/A
N/A
Settled
Yes
polymarket

1st Half O/U 0.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$139
N/A
N/A
N/A
Settled
Yes
polymarket

Both Teams to Score in First Half

100%
Yes 100¢No 0¢
0.1¢
N/A
$74
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius O/U 2.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$18
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius O/U 0.5

100%
Yes 100¢No 0¢
0.8¢
N/A
$11
N/A
N/A
N/A
Settled
Yes
polymarket

SK Dinamo Tbilisi O/U 1.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$10
N/A
N/A
N/A
Settled
Yes
polymarket

SK Dinamo Tbilisi O/U 0.5

100%
Yes 100¢No 0¢
0.8¢
N/A
$5
N/A
N/A
N/A
Settled
Yes
polymarket

SK Dinamo Tbilisi (-2.5)

0%
Yes 0¢No 100¢
—
N/A
$1,707
N/A
N/A
N/A
Settled
Yes
polymarket

SK Dinamo Tbilisi (-1.5)

0%
Yes 0¢No 100¢
—
N/A
$797
N/A
N/A
N/A
Settled
Yes
polymarket

SK Dinamo Tbilisi O/U 2.5

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

1st Half O/U 2.5

0%
Yes 0¢No 100¢
—
N/A
$24
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius 1st Half O/U 0.5

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

FK Žalgiris Vilnius 1st Half O/U 1.5

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

SK Dinamo Tbilisi 1st Half O/U 0.5

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 25 of 34

Description

More markets for the UEFA Europa Conference League game, scheduled for July 30 at 1:00 PM ET.

Polymarket

More markets for the UEFA Europa Conference League game, scheduled for July 30 at 1:00 PM ET.

Frequently asked questions

On Polymarket, the dashboard for the Žalgiris Vilnius vs. Dinamo Tbilisi match displays real-time odds and historical price movements across available outcome markets. Traders can monitor current probabilities, 24-hour volume activity, and order-book depth to gauge market sentiment. The interface aggregates all related prediction contracts tied to this fixture, allowing participants to compare different betting angles—such as final result, point spread, and total goals—in one view. This centralized tracking helps bettors identify shifts in consensus and spot arbitrage opportunities before the match begins.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and extract margin, while prediction markets are driven by trader consensus and real-money risk. For this market, comparing the implied probability from prediction traders to published sportsbook lines can reveal where the crowd sees edge or mispricing. Prediction markets tend to update faster on breaking news, whereas sportsbooks may lag due to risk-management protocols. Neither is inherently more accurate; both offer useful signals when cross-referenced.

On Polymarket, this market is priced through an automated market maker that adjusts odds based on order flow and liquidity depth. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares corresponding to each outcome, and the contract price reflects the cumulative probability assigned by all participants. The top outcome currently reflects strong conviction among traders. As the match date approaches and new information emerges, prices adjust dynamically to incorporate updated expectations, ensuring the market remains responsive to changing conditions.

This market resolves around Jul 30, 2026, once the fixture concludes and the result is verifiable from credible public reporting. The outcome is determined by the final score or result as officially recorded by the relevant sports authority. Traders should monitor for any postponements, cancellations, or rule changes that could affect settlement. Resolution typically occurs within hours of the final whistle, allowing winners to claim payouts promptly. Participants are encouraged to review the platform's specific outcome definitions before placing trades.

Key catalysts include team news—injuries to star players, lineup changes, or tactical shifts—that alter perceived match strength. Recent form, head-to-head records, and home-field advantage can all influence trader positioning. Weather conditions, referee assignments, and late-breaking roster updates often trigger repricing in the final hours. Major betting syndicates entering or exiting positions can also create sharp moves. Social media sentiment and expert commentary may sway casual traders, while institutional participants typically react to hard data like official team announcements or statistical model updates. Monitoring these signals helps traders anticipate volatility.