TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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ITF Brasilia: Gabriella Price vs Luiza Fullana
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ITF Brasilia: Gabriella Price vs Luiza Fullana

Volume:
$1,586

ITF Brasilia: Gabriella Price vs Luiza Fullana

 - Polymarket

ITF Brasilia: Gabriella Price vs Luiza Fullana - Polymarket

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 4, 2026

Closed: Jun 10, 4:00 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
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ITF Brasilia: Gabriella Price vs Luiza Fullana

View
0%
Yes 0¢No 100¢
—
N/A
$1,586
N/A
N/A
N/A
Settled
Yes
polymarket

Completed Match

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 2

Description

This market refers to the tennis match between Gabriella Price and Luiza Fullana in the ITF Women Brasilia, originally scheduled for June 3, 2026 at 4:00PM ET. This market will resolve to 'Gabriella Price' if Gabriella Price advances against Luiza Fullana. This market will resolve to 'Luiza Fullana' if Luiza Fullana advances against Gabriella Price. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.

Frequently asked questions

The dashboard on Polymarket tracks real-time odds and trading activity for the ITF Brasilia women's match between Gabriella Price and Luiza Fullana. It displays the current probability implied by the market for each player to win, along with 24-hour trading volume of $1,586 and cumulative volume of $1,586. The interface shows price history, allowing you to observe how market sentiment has shifted as new information emerges. This single-venue view provides transparency into how prediction market participants are pricing this professional tennis event.

Prediction market odds on Polymarket often diverge from traditional sportsbook odds because they reflect decentralized trader sentiment rather than bookmaker models. Sportsbooks typically incorporate margin and risk management, while prediction markets aggregate real-time belief through continuous trading. For this ITF Brasilia match, comparing Polymarket implied probabilities to major sportsbook lines can reveal whether the crowd is more or less confident in either player than professional oddsmakers. Significant gaps may signal mispricing or reflect different information sets between venues.

The market is scheduled to resolve on Jun 10, 2026. Resolution is determined by the official result of the ITF Brasilia match between Gabriella Price and Luiza Fullana. The outcome reflects which player wins the completed match according to the tournament's official records. Traders should monitor the ITF schedule and any announcements regarding match postponement, withdrawal, or disqualification, as these events could affect resolution timing and criteria.

Several catalysts could shift market odds before Jun 10, 2026. Recent player performance, head-to-head records, and ranking changes will influence trader positioning. Injury reports or withdrawal announcements would trigger sharp repricing. Court surface conditions, weather forecasts, and tournament draw details may also impact confidence in either player. Social media sentiment, expert commentary, and betting activity on related markets can amplify or dampen price movement. Close attention to ITF official communications and player social accounts will help you anticipate significant market moves.