TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Adolfo Daniel Vallejo vs Moise Kouame: Game Spread
kalshi

Adolfo Daniel Vallejo vs Moise Kouame: Game Spread

Volume:
$3,693

Adolfo Daniel Vallejo -6.5 games

 - Kalshi

Adolfo Daniel Vallejo -6.5 games - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 28, 2026

Closed: May 28, 10:13 AM 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

Adolfo Daniel Vallejo -6.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,255
N/A
N/A
$3,044
Settled
No
kalshi

Adolfo Daniel Vallejo -3.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$435
N/A
N/A
$393
Settled
No
kalshi

Adolfo Daniel Vallejo -9.5 games

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

Intro

This market on Kalshi tracks whether Adolfo Daniel Vallejo will win at least 3.5 more games than Moise Kouame in their professional tennis match, with the leading outcome at 3.0%. The secondary outcome—whether Vallejo wins at least 9.5 more games—stands at 3.0%. Resolution depends on the game differential across the full match at the 2026 French Open Men's Singles Round of 64, as determined by official tournament records. Watch for the match result on May 28, 2026, when the game count will determine the final resolution.

Frequently asked questions

The dashboard on Kalshi tracks real-time odds and trading activity for the Adolfo Daniel Vallejo vs Moise Kouame game spread prediction market. It displays the current probability that Adolfo Daniel Vallejo will win at least 6.5 more games than Moise Kouame, along with 24-hour volume of $3,693 and total group volume of $3,693. Users can monitor price history, order flow, and market depth to understand how traders are positioning ahead of the May 28, 2026 resolution date. The dashboard provides transparency into market sentiment and liquidity for this sports matchup.

Prediction market odds on Kalshi reflect real-time trader consensus and differ from traditional sportsbook spreads because they aggregate decentralized participant beliefs rather than bookmaker risk models. Sportsbooks set spreads to balance liability and extract margin, while prediction markets price outcomes based on supply and demand from thousands of independent traders. The Kalshi market for this game spread may move faster or slower than sportsbook lines depending on information flow, trader conviction, and liquidity. Comparing the two venues reveals how professional and retail market participants value the relative performance gap between Vallejo and Kouame.

The market resolves on May 28, 2026. Resolution is determined by the final game statistics comparing Adolfo Daniel Vallejo's total wins against Moise Kouame's total wins. The contract settles yes if Vallejo wins at least 6.5 more games than Kouame over the event period, and no otherwise. Official game records and verified sports data sources are used to confirm the outcome. Traders should monitor both players' performance metrics and any schedule changes leading up to the resolution date to inform their trading decisions.

Key catalysts include each player's recent form, win-loss streaks, head-to-head matchup results, and any injuries or roster changes affecting their competitive standing. Major tournament announcements, rule changes, or scheduling shifts could alter the expected performance gap. Media coverage, expert analysis, and betting action on related markets may also influence trader sentiment on Kalshi. Momentum swings in either player's career trajectory, sponsorship deals, or public statements about their competitive goals can shift market prices. Real-time game results during the event period will be the primary driver of price movement as traders update their probability estimates based on actual performance data.