TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 12:06 PM EST
Kalshi
Two professional tennis players will compete in the Round of 16 at the French Open, with the outcome potentially ranging from a close match to a dominant victory for one competitor.
On Kalshi, the Jesper De Jong vs Alexander Zverev game spread is priced as a binary contract reflecting whether the actual point margin falls within or outside a specified range. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell shares based on their belief about the final margin, with prices ranging from 0 to 100 cents per share. The current market price reflects the collective probability estimate. Volume and liquidity on Kalshi determine how easily you can enter or exit positions, and prices update in real time as new trades execute.
The market resolves on May 31, 2026. Resolution is determined by the final official result of the Jesper De Jong vs Alexander Zverev match, specifically the point spread between the two players' scores. Once the match concludes and the official margin is confirmed, the contract settles based on whether the actual spread matches the specified outcome criteria. Traders should monitor the match schedule and any official announcements to ensure they understand the exact resolution timing and conditions.
Several factors could shift market prices for this game spread. Recent form and head-to-head records between Jesper De Jong and Alexander Zverev are key catalysts, as are injury reports or fitness updates affecting either player. Court conditions, surface preference, and tournament context also influence expectations. Betting activity and sharp money flowing into one side can move odds quickly. Media commentary, expert predictions, and any changes to match scheduling or conditions closer to the event date will likely trigger repricing as traders update their probability estimates.