TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

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Ignacio Buse vs Rafael Jodar: Total Games
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Ignacio Buse vs Rafael Jodar: Total Games

Volume:
$83

Over 22.5 games

 - Kalshi

Over 22.5 games - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 15, 2026

Closed: Jun 15, 12:59 PM 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 22.5 games

View
48%
Yes 48¢No 52¢
100¢
N/A
$83
N/A
N/A
$83
Settled
No
kalshi

Over 17.5 games

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Over 27.5 games

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This market tracks the total number of games played in the professional tennis match between Ignacio Buse and Rafael Jodar at the 2026 ATP London Round of 32 on June 15. Bettors can wager on whether the match will exceed various game thresholds, with longer matches generating higher game totals.

Kalshi

Resolution is based on the total number of completed games across the full match between Ignacio Buse and Rafael Jodar in the 2026 ATP London Round of 32. 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 resolve accordingly; those that cannot are settled at Fair Market Price as determined by the Exchange. The match must be signaled by a ball being played to be considered as having occurred.

Frequently asked questions

On Kalshi, the Buse vs Jodar match length market dashboard tracks real-time odds and historical price movements for predictions on how many games will be played in this matchup. The interface displays current market sentiment, 24-hour trading volume, and order book depth, allowing traders to monitor shifts in consensus as new information emerges. This dashboard gives you a live window into how the prediction community is pricing the total game count, updated continuously throughout the trading period.

Prediction market odds on this market often diverge from traditional sportsbook lines because they reflect real-time trader positioning rather than fixed bookmaker margins. Sportsbooks typically adjust odds to balance liability, while prediction markets aggregate distributed beliefs across many participants. This market may offer sharper or earlier signals on game length if traders possess superior information or foresight. Comparing the two can reveal where public consensus and professional oddsmakers disagree on the likely outcome.

On Kalshi, this market is priced through continuous order-matching, where buyers and sellers set the odds by placing limit and market orders on competing outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the last executed trade and the current bid-ask spread, meaning the market adjusts dynamically as new trades occur. Liquidity and trading volume directly influence how tight the spread remains and how quickly large orders can be filled.

This market resolves around Jun 15, 2026, once the Buse vs Jodar match concludes and the total number of games is verifiable from credible public reporting. The outcome is determined by the final game count from the completed event. Until that point, traders can buy and sell positions based on their expectations, and the market price will fluctuate as the event approaches and new developments emerge.

Key catalysts include player injury reports, recent form and head-to-head history, coaching changes, and any official announcements about match format or conditions. Public statements from either player or their teams can shift trader expectations about match competitiveness and likely duration. As the match date approaches, updated odds from sportsbooks and expert analysis may also influence prediction market prices. Real-time developments during pre-match activities could trigger significant repricing in the final hours before play begins.