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Zizou Bergs vs Jaime Faria: Set 3 Winner
kalshi

Who will win set 3: Bergs vs Faria?

Volume:
$42,251

Zizou Bergs

 - Kalshi

Zizou Bergs - Kalshi

1W

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Positive

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 10:06 AM EST

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

Zizou Bergs

View
100%
Yes 100¢No 0¢
100¢
N/A
$16,377
N/A
N/A
$12,404
Settled
Yes
kalshi

Jaime Faria

0%
Yes 0¢No 100¢
100¢
N/A
$25,874
N/A
N/A
$24,805
Settled
No
Total markets: 2

Description

This market tracks the outcome of the third set in the professional tennis match between Zizou Bergs and Jaime Faria at the 2026 Wimbledon Men's Singles Round of 64 on July 2. The winner of set 3 will determine the corresponding market resolution.

Kalshi

The market resolves based on which player wins set 3 in the Zizou Bergs vs Jaime Faria match at 2026 Wimbledon Men's Singles Round of 64. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If postponed or delayed, the market remains open and closes after the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are resolved to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Bergs vs Faria Set 3 winner market dashboard tracks real-time odds and price history for this prediction market. The interface displays the current probability estimate for each potential outcome, along with 24-hour trading volume and historical price movements. Traders use this data to monitor how market sentiment shifts as the match approaches. The dashboard provides a transparent view of how participants are pricing the likelihood of each player winning the third set, helping you gauge consensus expectations and spot emerging trends in trading activity.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show materially different probabilities than traditional sports betting sites, especially as new information emerges closer to match time. Comparing the two can reveal where one venue perceives edge or mispricing, though prediction markets typically incorporate broader information flows and real-time adjustment from active traders.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the real-time probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the marginal trade—the last executed transaction—and can shift rapidly as new orders arrive. Traders profit by accurately predicting the set winner, incentivizing them to incorporate all available information into their pricing. Kalshi's mechanism ensures transparent, liquid price discovery without intermediary markup, allowing you to trade at market-determined odds rather than house-set lines.

This market resolves around Jul 2, 2026, once the Bergs vs Faria match concludes and the third-set winner is verified against credible public sources. The outcome is determined by the official match result reported by the tournament or governing body. Until that point, the market remains open for trading, and prices may shift based on player form, injury reports, or other match-relevant developments. Resolution is automatic once the event is confirmed, and all positions settle according to the verified outcome.

Several factors could shift prices in this market before resolution. Player injury announcements or withdrawal news would trigger sharp repricing. Recent form updates, head-to-head record developments, or surface-condition changes at the venue may influence trader positioning. Court conditions, weather forecasts, and pre-match commentary from analysts can also move odds. Additionally, any official statements about match scheduling or format changes would prompt immediate market reaction. Real-time match momentum during sets one and two will likely drive significant price swings as traders update their expectations for the third-set outcome.