TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Alexander Blockx vs Francisco Cerundolo: Total Games
kalshi

Alexander Blockx vs Francisco Cerundolo: Total Games

Volume:
$0

Over 18.5 games

 - Kalshi

Over 18.5 games - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 15, 2026

Closed: Jun 15, 1:03 PM EST

kalshi

Kalshi

View
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 18.5 games

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

Over 23.5 games

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

Over 28.5 games

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

Description

This tennis match between Alexander Blockx and Francisco Cerundolo at the 2026 ATP London Round of 32 will be analyzed based on the total number of games played throughout the entire match. The outcome depends on whether the combined game count across all sets exceeds specific thresholds.

Kalshi

Resolution is based on the total number of completed games in the full match between Alexander Blockx and Francisco Cerundolo at 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 fair price. If postponed or delayed, the market remains 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 settled at Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the Blockx vs Cerundolo total games market dashboard tracks real-time odds and price movements for the predicted number of games in this tennis matchup. The interface displays current market pricing, historical price charts, and trading volume data to help you monitor how sentiment shifts as the event approaches. You can view $0 in recent trading activity and observe how the odds adjust based on player news, injury reports, or betting patterns. This live tracking enables traders to spot emerging consensus about match length before the players take the court.

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 lock in profit margins, while prediction markets like this one are driven by trader belief and real-money commitments. On this market, odds tend to shift more dynamically in response to breaking news or player updates, whereas sportsbooks may move more cautiously to avoid sharp bettors exploiting gaps. Comparing the two can reveal where the crowd's expectation differs from professional oddsmakers' assessments of total games in the Blockx versus Cerundolo contest.

On Kalshi, this market is priced through an order-book mechanism where traders submit buy and sell orders at their chosen odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the most recent trade or the spread between the highest bid and lowest ask, updating continuously as new orders arrive. Kalshi's structure encourages price discovery by allowing any trader to set their own odds rather than accepting a fixed line, which can lead to sharper, more responsive pricing as new information emerges about the matchup.

This market resolves around Jun 15, 2026, once the Blockx versus Cerundolo match concludes and the final game count is verified against credible public sources. The outcome is determined by the total number of games played across all sets, regardless of who wins the match. Resolution occurs after the official result is confirmed and published by recognized tennis authorities or sports data providers, ensuring accuracy before payouts are finalized.

Several factors can shift odds on this market before it resolves. Injury announcements or fitness updates about either player may alter expectations about match duration and competitiveness. Recent head-to-head records, surface preference, and current form trends can prompt traders to reassess how many games are likely. Tournament conditions, court speed, and weather forecasts closer to match day also influence predictions about pace of play. Breaking news about player motivation, ranking implications, or scheduling changes can trigger rapid repricing as the event date approaches.