TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 5:23 PM EST
Kalshi
This market tracks the game spread between Stefanos Tsitsipas and Matteo Arnaldi, measuring whether Tsitsipas will win by a decisive margin in their matchup. On Kalshi, the probability that Tsitsipas wins at least 4.5 more games than Arnaldi stands at 42.0%, while the probability he wins at least 1.5 more games is 17.0%. Resolution will be determined by the official game differential recorded in their 2026 French Open Men's Singles Round of 64 match. Watch how the players' recent form and court conditions develop leading up to the May 28, 2026 French Open tournament.
Prediction market odds on Kalshi reflect real-money trader consensus rather than traditional sportsbook pricing. While sportsbooks set fixed spreads based on oddsmaker models, prediction markets like this one aggregate dynamic participant beliefs about the Arnaldi-Tsitsipas game spread. Prediction markets often incorporate late-breaking information and player sentiment more fluidly than static sportsbook lines, making them useful for comparing alternative probability estimates on whether Tsitsipas will outscore Arnaldi by 4.5 or more games.
The market resolves on May 28, 2026. Resolution is determined by the final game count in the Matteo Arnaldi vs Stefanos Tsitsipas match. The contract settles based on whether Tsitsipas wins at least 4.5 more games than Arnaldi across the completed match. Once the match concludes and official results are confirmed, the market will settle to either 100 cents if the condition is met or 0 cents if it is not, paying out accordingly to contract holders.
Several factors may shift odds before May 28, 2026. Recent form and ranking updates for both Arnaldi and Tsitsipas can influence trader expectations about game-count margins. Court surface, weather conditions, and head-to-head history may prompt repricing as match day approaches. Injury reports or withdrawal news would trigger sharp moves. Early-match momentum—if one player wins the first set decisively—often causes significant mid-match repricing as traders update their probability estimates. News coverage and expert commentary can also sway sentiment and trading volume throughout the event window.