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%

BETA
Dashboards
Tour
All
Sports
Karen Khachanov vs Flavio Cobolli: Game Spread
kalshi

What is the game spread in Khachanov vs Cobolli?

Volume:
$21,112

Flavio Cobolli -1.5 games

 - Kalshi

Flavio Cobolli -1.5 games - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 4, 12:20 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

Flavio Cobolli -1.5 games

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,190
N/A
N/A
$3,205
Settled
Yes
kalshi

Karen Khachanov -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$10,760
N/A
N/A
$8,400
Settled
No
kalshi

Karen Khachanov -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$6,162
N/A
N/A
$2,866
Settled
No
Total markets: 3

Description

This market measures the game differential between Karen Khachanov and Flavio Cobolli throughout their 2026 Wimbledon Round of 32 match. Bettors wager on whether one player will win by a specific margin in total games across the entire match.

Kalshi

The market resolves based on the game differential in favor of either Karen Khachanov or Flavio Cobolli across the full match at the 2026 Wimbledon Men's Singles Round of 32. The game spread is calculated as the difference between games won by each player over the entire match. If the match does not occur before play begins—due to injury, walkover, forfeiture, or cancellation—the market resolves to a fair price. If the match is 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 be settled resolve to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Khachanov vs Cobolli match spread displays real-time odds and historical price movements as traders position themselves on the likely margin of victory. You can monitor current market sentiment, 24-hour trading volume via $17,343, and cumulative activity totaling $21,112 across all traders participating in this market. The interface shows how the odds shift as new information emerges, helping you gauge whether the market expects a close contest or a dominant performance from one player.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the beliefs of traders who have real money at stake. This market's odds represent a crowd-sourced forecast of the spread outcome, which can sometimes offer sharper or earlier signals than traditional sportsbook lines, especially as match conditions or player form shift closer to game time.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different spread outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the cumulative demand and supply from all active participants. As traders update their views based on player news, recent performance, or court conditions, the odds adjust in real time, ensuring the market price stays aligned with the latest available information.

This market resolves around Jul 4, 2026, once the match concludes and the final spread is verified against credible public sources. The outcome is determined by the actual point or game differential between Khachanov and Cobolli, measured according to standard tennis scoring conventions. Resolution occurs after the result is confirmed and recorded by official match reporting, ensuring all traders have clarity on the final payout.

Key catalysts include recent head-to-head records, current ranking and form, court surface preference, injury reports, and pre-match commentary from analysts. Weather conditions, travel fatigue, and tournament context can also shift trader sentiment. Major upsets in earlier rounds or unexpected player withdrawals might trigger repricing. As the match date approaches, odds typically tighten as uncertainty resolves and the market converges toward the most likely outcome based on all available evidence.