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Matteo Arnaldi vs Quentin Halys: Total Games
kalshi

How many games will be played in Arnaldi vs Halys?

Volume:
$1,707

Over 38.5 games

 - Kalshi

Over 38.5 games - Kalshi

1W

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 10:23 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

Over 38.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,390
N/A
N/A
$909
Settled
No
kalshi

Over 43.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$181
N/A
N/A
$180
Settled
No
kalshi

Over 48.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$135
N/A
N/A
$134
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Matteo Arnaldi and Quentin Halys at the 2026 Wimbledon Men's Singles Round of 128 on June 30. Bettors predict whether the match will extend beyond various game thresholds, with longer matches indicating closer competition or extended rallies.

Kalshi

Resolution is based on the total number of completed games across the full match between Matteo Arnaldi and Quentin Halys in the 2026 Wimbledon Men's Singles Round of 128. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If 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 Arnaldi vs Halys total games market displays real-time odds and price history as traders buy and sell shares tied to the final game count in this matchup. The interface shows current market probability, 24-hour trading volume, and historical price movements, allowing you to monitor how sentiment shifts as the event approaches. This market lets you track aggregate trader expectations about whether the match will extend to more games or conclude quickly, all updated live as new trades execute on the platform.

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 like this one aggregate the beliefs of traders risking real capital with no built-in house edge. This market's odds tend to adjust faster to new information and can reveal where informed traders see value relative to traditional betting lines, making them a useful reference point for comparing market consensus on the total games outcome.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different game-count outcomes. 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 marginal trade, so as new information emerges or trader conviction shifts, the odds update in real time. Liquidity and trading volume influence how tightly prices cluster around fair value, and you can enter or exit positions at the current market price or place limit orders to trade at your preferred level.

This market resolves around Jun 30, 2026, once the Arnaldi vs Halys match concludes and the final game count is verified against credible public sources. The outcome is determined by the total number of games played in the completed match. Your position settles based on whether the actual total falls into the outcome range you backed, with payouts distributed automatically once the result is confirmed and the market is officially closed.

Key catalysts for this market include player form and recent match results, injury updates or fitness concerns, head-to-head history and playing style matchups, and court surface conditions if applicable. Pre-match commentary from analysts and betting-market activity can also shift trader expectations about match length. Closer to the event, weather, player morale, and any last-minute lineup changes may influence how traders price the total games outcome, causing the odds to drift as new information becomes available.