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Zizou Bergs vs Jaime Faria: Exact Match Score
kalshi

What is the exact match score of Zizou Bergs vs Jaime Faria?

Volume:
$7,026

Zizou Bergs wins 3-1

 - Kalshi

Zizou Bergs wins 3-1 - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 10:41 AM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Zizou Bergs wins 3-1

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,777
N/A
N/A
$487
Settled
Yes
kalshi

Zizou Bergs wins 3-2

0%
Yes 0¢No 100¢
100¢
N/A
$916
N/A
N/A
$868
Settled
No
kalshi

Zizou Bergs wins 3-0

0%
Yes 0¢No 100¢
100¢
N/A
$711
N/A
N/A
$582
Settled
No
kalshi

Jaime Faria wins 3-2

0%
Yes 0¢No 100¢
100¢
N/A
$510
N/A
N/A
$258
Settled
No
kalshi

Jaime Faria wins 3-1

0%
Yes 0¢No 100¢
100¢
N/A
$94
N/A
N/A
$94
Settled
No
kalshi

Jaime Faria wins 3-0

0%
Yes 0¢No 100¢
100¢
N/A
$18
N/A
N/A
$18
Settled
No
Total markets: 6

Description

This market tracks the final set score of the professional tennis match between Zizou Bergs and Jaime Faria at the 2026 Wimbledon Men's Singles Round of 64 on July 2. The exact match score determines which outcome resolves to Yes.

Kalshi

The market resolves based on the exact final set score of the Zizou Bergs vs Jaime Faria match at 2026 Wimbledon Men's Singles Round of 64. Possible outcomes include Zizou Bergs winning 3-0, 3-1, or 3-2, or Jaime Faria winning 3-0, 3-1, or 3-2. 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 exact score market dashboard tracks real-time odds and historical price movements for this prediction market. The interface displays current trader sentiment on the precise final score of the matchup between these two competitors. You can monitor 24-hour volume and liquidity trends to gauge market activity and confidence in specific score outcomes. The dashboard updates continuously as new trades execute, allowing you to follow how odds shift as event details emerge or as the competition date approaches.

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 margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show different implied probabilities than traditional sportsbooks, especially if one venue attracts more informed or specialized traders. Comparing the two can reveal where consensus is strongest or where outlier views exist, though each reflects genuine market conviction in its own ecosystem.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares corresponding to different exact score outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome contract reflects the collective probability assigned by active traders; higher prices indicate greater confidence in that specific score result. As new information surfaces or as the event draws closer, traders adjust their positions, moving prices up or down. Liquidity and trading volume influence how quickly prices respond to new signals.

This market resolves around Jul 2, 2026, once the Bergs vs Faria competition concludes and the final score is verifiable from credible public sources. The outcome is determined by the exact score recorded at the end of the match. Traders who correctly predicted the precise final result will see their positions settle in their favor. Until that moment, prices will fluctuate as new developments and pre-event analysis influence trader expectations.

Several factors could shift odds in this market before resolution. Recent form and head-to-head records between the competitors often drive early price movement. Injury reports, lineup announcements, or changes in player availability can trigger sharp repricing. Betting syndicate activity and large trades from informed participants frequently signal shifting conviction. As the event date approaches, media coverage, expert analysis, and public sentiment may influence retail trader behavior. Finally, any official statements or last-minute developments from either competitor's camp could prompt rapid adjustments.