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Jenson Brooksby vs Martin Damm Jr: Game Spread
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Jenson Brooksby vs Martin Damm Jr: Game Spread

Volume:
$11,748

Jenson Brooksby -1.5 games

 - Kalshi

Jenson Brooksby -1.5 games - Kalshi

1W

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Positive

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Vol.

·

Resolved Jun 16, 2026

Closed: Jun 16, 11:26 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

Jenson Brooksby -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,772
N/A
N/A
$779
Settled
Yes
kalshi

Martin Damm Jr -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$7,788
N/A
N/A
$6,453
Settled
No
kalshi

Martin Damm Jr -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$1,187
N/A
N/A
$1,187
Settled
No
Total markets: 3

Description

This market measures the game differential between Jenson Brooksby and Martin Damm Jr in their professional tennis match at the 2026 ATP London Round of 32 on June 16. Bettors predict whether one player will win by a specified margin in total games across the full match.

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Resolution is based on the game differential in favor of the specified player across the full match. The match must begin with a ball being played to be considered as occurring; if cancelled before play starts due to injury, walkover, forfeiture, or other reasons, the market resolves to fair price. If the match is 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 settled at fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Brooksby vs Damm Jr tennis match displays real-time odds and price movements tied to the game spread outcome. Traders can monitor current implied probabilities, historical price charts, and trading activity to understand how the market is pricing this matchup. The platform aggregates all buy and sell orders into a live order book, allowing participants to see depth and liquidity at different price levels. This transparency helps traders make informed decisions based on the collective market assessment of the spread.

Prediction market odds and 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 allow traders to freely price outcomes based on their beliefs. This market may show different implied probabilities than traditional sportsbooks, particularly if prediction market participants have unique information or different risk assessments. Comparing the two can reveal where consensus differs and highlight potential value opportunities for informed bettors.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks to buy or sell shares tied to the spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the marginal trade—the last executed transaction—and moves as new orders flow in. Traders can place limit orders to wait for their target price or use market orders for immediate execution. The spread between bid and ask prices indicates liquidity; tighter spreads suggest higher confidence and activity, while wider spreads may indicate uncertainty or lower trading volume.

This market resolves around Jun 16, 2026, once the tennis match concludes and the final game spread is verified against credible public sources. The outcome is determined by the official recorded margin in the specified game, confirmed through established sports reporting channels. Until that point, traders can continue to buy and sell shares as new information and match developments emerge. Resolution is automatic once the event result is confirmed and the platform processes the settlement.

Several factors may shift prices in this market before resolution. Player form, recent match results, and head-to-head history can influence trader expectations of the spread. Injury reports, court conditions, and weather updates closer to match day often trigger repricing. News about either player's confidence, coaching changes, or mental state may also sway sentiment. As the match approaches, real-time developments during play—such as early set performance or momentum swings—will likely drive significant trading activity and price adjustments.