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ITF Guimaraes: Elena Micic vs Aliona Falei
polymarket

ITF Guimaraes: Elena Micic vs Aliona Falei

Volume:
$1,909

ITF Guimaraes: Elena Micic vs Aliona Falei

 - Polymarket

ITF Guimaraes: Elena Micic vs Aliona Falei - Polymarket

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 9, 2026

Closed: Jun 16, 9:00 AM EST

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ITF Guimaraes: Elena Micic vs Aliona Falei

View
0%
Yes 0¢No 100¢
—
N/A
$1,909
N/A
N/A
N/A
Settled
Yes
polymarket

Completed Match

View
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 Elena Micic and Aliona Falei in the ITF Women Guimaraes, originally scheduled for June 9, 2026 at 9:00AM ET. This market will resolve to 'Elena Micic' if Elena Micic advances against Aliona Falei. This market will resolve to 'Aliona Falei' if Aliona Falei advances against Elena Micic. 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 ITF Guimaraes: Elena Micic vs Aliona Falei dashboard on Polymarket tracks real-time odds and historical price movements for this women's tennis match. You can monitor the current implied probability for each player outcome, view 24-hour trading volume at $1,909, and observe how market sentiment shifts as the match approaches. The dashboard aggregates all trading activity on Polymarket to show you the live consensus forecast from prediction market participants betting on this ITF event.

Prediction market odds on Polymarket reflect decentralized trader sentiment and often differ from traditional sportsbook lines. While sportsbooks employ professional oddsmakers and adjust for liability, prediction markets like Polymarket aggregate crowd forecasts in real time. For this Elena Micic vs Aliona Falei match, comparing Polymarket prices to major sportsbooks can reveal where the crowd sees value or where sharp money may be moving. Prediction markets tend to be more efficient when trading volume is high and diverse.

On Polymarket, the Elena Micic vs Aliona Falei match is priced through an automated market maker that converts trader activity into real-time odds for each outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current top outcome reflects the aggregate belief of Polymarket participants. As traders buy or sell shares in either player's victory, the price adjusts continuously. Polymarket's transparent order flow and low friction make it efficient for capturing shifts in match expectations, whether driven by player form, injury news, or betting patterns.

The ITF Guimaraes: Elena Micic vs Aliona Falei market resolves on Jun 16, 2026. Resolution is determined by the official result of the match as recorded by the ITF and confirmed through reliable sports data sources. The outcome will reflect which player wins the match in straight sets or after a tiebreak. Once the match concludes and the result is verified, the market settles accordingly and traders receive payouts based on their positions.

Key catalysts for price movement in this Elena Micic vs Aliona Falei matchup include recent tournament results, player injury reports, head-to-head history, and surface-specific form. Warm-up match performances or training updates can shift trader confidence. Weather conditions on match day, court surface conditions, and any last-minute lineup changes will influence odds closer to play. Social media sentiment, expert commentary, and betting patterns from other markets may also drive repricing as traders adjust their forecasts based on new information.