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Felix Auger-Aliassime vs Alejandro Davidovich Fokina: Set 1 Winner
kalshi

Who will win set 1: Auger-Aliassime vs Davidovich Fokina?

Volume:
$269,925

Alejandro Davidovich Fokina

 - Kalshi

Alejandro Davidovich Fokina - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 5, 2026

Closed: Jul 5, 11:50 AM EST

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

Alejandro Davidovich Fokina

View
100%
Yes 100¢No 0¢
100¢
N/A
$108,483
N/A
N/A
$84,217
Settled
Yes
kalshi

Felix Auger-Aliassime

0%
Yes 0¢No 100¢
100¢
N/A
$161,441
N/A
N/A
$137,623
Settled
No
Total markets: 2

Description

Felix Auger-Aliassime and Alejandro Davidovich Fokina compete in the first set of their 2026 Wimbledon Men's Singles Round of 16 match on July 5. The market determines which player wins that specific set.

Kalshi

The market resolves to Yes for whichever player wins set 1 of the match. If the match does not occur before it begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is postponed or delayed, the market remains open until the rescheduled match concludes within two weeks. If a player retires, any market that can be unconditionally settled based on completed play resolves accordingly; markets that cannot be settled resolve to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Auger-Aliassime vs Davidovich Fokina Set 1 market displays real-time odds on which player will win the opening set of their upcoming match. Traders can monitor the current price, historical price movements, and trading volume to gauge market sentiment. The interface shows the probability implied by active trading, helping you understand how the prediction market community is positioning ahead of the event. You can track shifts in odds as new information emerges or as the match approaches.

Prediction market odds and sportsbook odds often diverge because they reflect different mechanisms. Sportsbooks set odds to balance their book and manage risk, while prediction markets like this one price outcomes through continuous trader participation. Prediction markets can sometimes offer sharper or more efficient pricing because traders have direct financial incentive to correct mispricings. However, sportsbooks may incorporate additional factors like injury reports or late-breaking news faster. Comparing both sources can reveal valuable discrepancies for informed decision-making.

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 outcome reflects the collective belief of active traders, with shares trading between 0 and 100 cents based on perceived probability. As traders place bids and asks, the market price adjusts in real time. This dynamic pricing model allows you to enter or exit positions at any time before the market resolves, with your entry price determined by the current bid-ask spread.

This market resolves around Jul 5, 2026, once the first set of the match concludes and the winner is verified against credible public sources. The outcome is determined by which player wins the set according to official tennis scoring rules. Until that point, you can trade your position freely. Resolution is typically confirmed within hours of the match completion, after which the market settles and payouts are distributed to holders of the winning outcome.

Several factors may shift odds before the match begins or during play. Injury announcements or player withdrawals would trigger sharp repricing. Recent form, head-to-head records, and court surface preference can influence trader positioning. Weather conditions on match day may favor one player's style. News about player fitness, mental state, or external circumstances can also move the market. Once the set starts, real-time performance—breaks of serve, momentum shifts, and set score—will drive continuous price adjustments as traders update their expectations.