TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

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30,214

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MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

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39%

VS.

Kalshi:

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Felix Auger-Aliassime vs Brandon Nakashima: Set 1 Winner
kalshi

Felix Auger-Aliassime vs Brandon Nakashima: Set 1 Winner

Volume:
$20,315

Brandon Nakashima

 - Kalshi

Brandon Nakashima - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved May 30, 2026

Closed: May 30, 3:57 PM EST

kalshi

Kalshi

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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

Brandon Nakashima

View
100%
Yes 100¢No 0¢
100¢
N/A
$9,748
N/A
N/A
$6,834
Settled
Yes
kalshi

Felix Auger-Aliassime

0%
Yes 0¢No 100¢
100¢
N/A
$10,566
N/A
N/A
$9,910
Settled
No
Total markets: 2

Intro

This market tracks the outcome of the opening set in a Round of 32 matchup at the 2026 French Open Men's Singles tournament between Felix Auger-Aliassime and Brandon Nakashima. On Kalshi, Auger-Aliassime is priced at 58.0% to win set 1, while Nakashima stands at 41.0%. The market resolves based on the official result from the professional tennis match scheduled for May 30, 2026. Watch for the players' recent form and court conditions leading up to the French Open to gauge early-set momentum.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the Felix Auger-Aliassime vs Brandon Nakashima Set 1 Winner market on Kalshi. You can monitor the current implied probability for each player to win the opening set, view historical price movements, and observe 24-hour trading volume $15,830. The dashboard updates continuously as traders buy and sell shares, reflecting the latest consensus on match outcome. This single-venue view lets you see how market sentiment shifts as match conditions and player performance data emerge.

Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader conviction rather than fixed bookmaker margins. Sportsbooks typically adjust odds to balance liability, while prediction markets aggregate distributed beliefs from many participants. For this Set 1 matchup, comparing Kalshi implied probabilities to major sportsbook spreads can reveal whether the market is pricing in factors like recent form, head-to-head history, or court conditions that books may lag on. Traders often exploit these gaps.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Set 1 Winner market is priced as binary contracts reflecting the probability each player captures the first set. Traders buy or sell shares at prices between 0 and 100 cents, with the final payout determined by the actual set outcome. The current price reflects accumulated bets and real-time order flow. As match time approaches and live data emerges—such as warm-up performance or court conditions—prices adjust to incorporate new information, allowing traders to refine positions based on evolving match dynamics.

The market resolves on May 30, 2026 or shortly after the first set concludes, whichever comes first. Resolution is determined by the official result of Set 1 in the Felix Auger-Aliassime vs Brandon Nakashima match. The winner of the set—the player who first reaches the required game count under standard tennis rules—triggers the payout. Traders holding shares in the winning outcome receive their full contract value, while losing positions expire worthless. Official match records from the tournament governing body confirm the final result.

Key catalysts include recent tournament results and head-to-head records, player injury reports or fitness updates, court surface and weather conditions on match day, and pre-match warm-up performance. Real-time developments during the match itself—such as early service breaks, momentum shifts, or tactical adjustments—will drive sharp price moves as traders react to live play. News of player form changes, coaching adjustments, or unexpected absences can also shift market expectations. The closer to match time, the more volatile prices typically become as uncertainty resolves.