TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Zizou Bergs vs Jaime Faria: Set 2 Winner
kalshi

Who will win set 2: Bergs vs Faria?

Volume:
$12,323

Jaime Faria

 - Kalshi

Jaime Faria - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 9:41 AM EST

kalshi

Kalshi

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

Jaime Faria

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,183
N/A
N/A
$4,543
Settled
Yes
kalshi

Zizou Bergs

0%
Yes 0¢No 100¢
100¢
N/A
$6,140
N/A
N/A
$4,671
Settled
No
Total markets: 2

Description

This market tracks the outcome of the second 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 2 will determine the corresponding market resolution.

Kalshi

The market resolves based on which player wins set 2 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 2 winner market dashboard tracks real-time odds and historical price movements for this tennis matchup. The interface displays the current probability estimate for each potential outcome, along with 24-hour trading volume and cumulative liquidity. Traders use this data to monitor how market sentiment shifts as the match approaches and unfolds. The dashboard updates continuously during market hours, allowing participants to observe whether confidence in either player is increasing or decreasing based on live trading activity.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate beliefs from traders risking real capital on outcomes. This market's odds may lead or lag sportsbook lines depending on information flow and trader conviction. Comparing the two can reveal where professional oddsmakers and decentralized traders disagree, potentially highlighting undervalued or overvalued scenarios in either venue.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective probability assigned by active traders; higher prices indicate stronger confidence in that outcome. Liquidity and trading volume influence how quickly prices adjust to new information. As match time approaches, volatility may increase if new data emerges about player form, injury status, or court conditions.

This market resolves around Jul 2, 2026, once the Bergs versus Faria match concludes and the second set winner is verified against credible public sources. The outcome is determined by which player wins the second set during their scheduled match. Resolution occurs after the set is officially completed and confirmed through reliable sports reporting or the tournament's official records. Traders should monitor match schedules and any postponements or cancellations that could affect timing.

Several factors may shift odds before resolution. Recent player performance, head-to-head records, and surface preference can influence trader sentiment. Injury announcements or withdrawal news would trigger sharp repricing. Court conditions, weather delays, and first-set outcomes all provide real-time signals that traders incorporate immediately. Media coverage highlighting one player's form or tactical advantages may also sway the market. Close first-set results often foreshadow momentum shifts that traders anticipate when pricing the second set.