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$134.1b

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$141,541,542

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2,388,728,490

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$1,440,096,988

406,065

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2,692

PLATFORM COVERAGE:

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Paul Jubb vs Marcelo Tomas Barrios Vera: Game Spread
kalshi

Paul Jubb vs Marcelo Tomas Barrios Vera: Game Spread

Volume:
$329

Marcelo Tomas Barrios Vera -1.5 games

 - Kalshi

Marcelo Tomas Barrios Vera -1.5 games - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 11:32 AM EST

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

Marcelo Tomas Barrios Vera -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$149
N/A
N/A
$147
Settled
Yes
kalshi

Paul Jubb -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$92
N/A
N/A
$92
Settled
No
kalshi

Marcelo Tomas Barrios Vera -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$88
N/A
N/A
$88
Settled
No
Total markets: 3

Description

This market covers the game differential between Paul Jubb and Marcelo Tomas Barrios Vera in their professional tennis match during the 2026 Wimbledon Men's Singles Qualification Round 2 on June 24. Bettors predict the margin of games won by either player across the full match.

Kalshi

Resolution is based on the game differential across the full match, calculated as the difference in games won by each player. Positive differentials favor Marcelo Tomas Barrios Vera; negative differentials favor Paul Jubb. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. Postponed or delayed matches remain open until 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 resolved to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Jubb vs Barrios Vera tennis match displays real-time odds and historical price movements as traders position themselves on the expected game spread outcome. The interface shows current market probability, allowing you to monitor how sentiment shifts as match details emerge. You can track cumulative trading volume and observe bid-ask spreads that reflect the market's conviction. This live data helps you gauge whether consensus is building around a particular spread prediction or if uncertainty remains elevated heading into the event.

Prediction market odds and traditional 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 aggregate beliefs from traders risking real capital on outcomes. This market's odds may lead or lag sportsbook spreads depending on which venue processes new information faster. Comparing the two can reveal where professional bettors and retail traders disagree, sometimes signaling value or consensus shifts before mainstream odds adjust.

On Kalshi, this market is priced through continuous order-book matching, where buyers and sellers submit bids and asks that determine the real-time probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders can enter limit or market orders to express their view on the spread outcome, and the platform's matching engine executes trades at the best available price. Prices move dynamically as new information surfaces, player updates are announced, or large orders shift the balance of supply and demand. The transparent order book ensures you see the full depth of liquidity at every price level.

This market resolves around Jun 24, 2026, once the tennis match concludes and the final game spread is confirmed. The outcome is verified against credible public sources reporting the official match result and point differential. Until that time, traders can continue to buy and sell positions as new match information becomes available. Resolution is automatic once the event is finalized and the spread data is locked in, ensuring all positions settle fairly based on the verified result.

Player injury reports, recent form trends, and head-to-head history can all shift market odds significantly. Court surface conditions and weather forecasts on match day often trigger repricing as traders adjust for environmental factors affecting play style. Betting action from sharp money or sudden lineup changes can create rapid momentum swings. Additionally, pre-match commentary from analysts or unexpected player statements may influence trader sentiment. Monitoring these catalysts helps you anticipate moves and identify potential trading opportunities before the broader market reacts.