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Yannick Hanfmann vs Adolfo Daniel Vallejo: Game Spread
kalshi

Yannick Hanfmann vs Adolfo Daniel Vallejo: Game Spread

Volume:
$2,243

Yannick Hanfmann -3.5 games

 - Kalshi

Yannick Hanfmann -3.5 games - Kalshi

1W

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Positive

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Vol.

·

Resolved Jun 21, 2026

Closed: Jun 21, 2:35 PM EST

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

Yannick Hanfmann -3.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,208
N/A
N/A
$993
Settled
No
kalshi

Adolfo Daniel Vallejo -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$769
N/A
N/A
$767
Settled
No
kalshi

Yannick Hanfmann -6.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$267
N/A
N/A
$265
Settled
No
Total markets: 3

Description

This market measures the game differential between Yannick Hanfmann and Adolfo Daniel Vallejo in their professional tennis match at the 2026 ATP Mallorca Round of 32 on June 21. Bettors wager on whether one player will win by a specified margin in total games across the full match.

Kalshi

The event resolves based on the game differential between the two players across the full match in the 2026 ATP Mallorca Round of 32. The differential is calculated as the total games won by one player minus the total games won by the opponent. 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 will resolve accordingly; those that cannot be unconditionally determined will resolve to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Hanfmann vs Vallejo tennis match displays real-time odds and price movements as traders buy and sell shares tied to the game spread outcome. You can monitor the current probability reflected in the market price, review 24-hour trading volume to gauge liquidity and interest, and track historical price changes leading up to the event. The interface shows how market sentiment shifts as new information emerges, allowing you to compare current odds against your own assessment of the likely result.

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 margin, while prediction markets aggregate beliefs from traders risking real capital on outcomes. This market may price the spread differently than traditional sportsbooks, offering an alternative view of the matchup's likely result. Comparing the two can reveal where consensus differs and highlight potential value opportunities.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each possible 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 confidence of active traders, with higher prices indicating stronger belief in that result. As new information surfaces or sentiment shifts, traders adjust their positions, causing the odds to move in real time. This dynamic pricing ensures the market stays responsive to changing conditions throughout the trading period.

This market resolves around Jun 21, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The spread result will be determined by the final score and the margin of victory, measured against the specified line. Once the match concludes and the result is official, the market will settle based on whether the actual spread matches the predicted outcome. Traders holding the winning side will receive their payout automatically.

Several factors could shift odds before this market closes. Injury updates or player fitness reports may alter expectations about performance. Recent form, head-to-head records, and surface conditions can influence trader sentiment. Court announcements, weather forecasts, or scheduling changes might also trigger repricing. Major upsets in related tournaments or shifts in player rankings could sway confidence in the spread. As the match date approaches, late-breaking news and final odds from sportsbooks often prompt traders to adjust positions, creating volatility in the final hours.