The current Head to Head score is 0-3. Diallo comes into this match with a ranking of 55 , while Khachanov is ranked 24.
Diallo vs Khachanov Prediction, Tips & Picks Analysis:
Second serve performance analysis: In matches leading up to this game, Khachanov has won 45% of points on his second serve, while Diallo has won 48% and in historical match simulations this is a very important variable in analyzing the outcome.
Returning game stats analysis: Leading up to this h2h matchup Khachanov has won 25% of his opponent’s first serve points, while Diallo has won 26%. The same stats for second serve return points are 48% and 41% respectively which historical data suggests is very important when picking h2h betting tips.
Performance under pressure prediction: Khachanov has been saving 56% of his breakpoints, and Diallo has saved 56% which is a useful statistic for in-game betting predictions.
Surface prediction: Khachanov performs best on Grass, winning 61% (W/L 27/17) and worse career win % on Clay, winning 59% (W/L 111/76). Diallo performs best on I.hard, winning 66% (W/L 47/24), and performs worse on Clay, winning 53% (W/L 17/15).
In play break point conversion prediction: Karen Khachanov has converted 35% of breakpoint opportunities in their recent games and Gabriel Diallo has converted 24% of their chances to get the break which is an important stat in our betting tips system to pick the outcome.
Last match played: In the match before this one, Gabriel Diallo played Jordan Thompson in the Second round at the Libema Open – ‘s-Hertogenbosch and won 4-6 6-1 7-5 in 02:08:16 . Karen Khachanov played Mackenzie Mcdonald in the Second round at the Libema Open – ‘s-Hertogenbosch and won 6-3 5-7 7-6(4) in 02:31:21.
Unlimited match filtering is available on the detailed stats head to head page where you can also see current event performance stats.
Prediction Stats H2H Summary Of Gabriel Diallo and Karen Khachanov
Of their last 10 matches played, Diallo has won 7, while Khachanov has won 6. The Matchstat.com prediction algorithm uses about 190 variables. One very important stat for this match is on Grass in recent matches, Diallo has won 52% of his own 2nd serve points and 34% of return points, versus an average opponent rank of 226.37 , while Khachanov has won 51% of his own 2nd serve points and 34% of return points, against an average opponent rank of 225.05.
Gemma@MatchStat
See below for our machine learning AI prediction for Diallo Vs Khachanov
Career Performance Prediction Factors In Our Pick:
Diallo has won 7 titles in his career, while Karen Khachanov has won 16 events. Diallo has won 52% (18103 of 35124) of points played in his entire career, and Khachanov has achieved 51% (53986 of 105510). A great statistic to predict performance under pressure is that, Diallo has won 55% of tie breaks in his entire career (67 of 121), whereas Karen Khachanov has won 53% (189 of 354). As per the image above, our algorithm is predicting Karen Khachanov has an 63.99% probability of winning this match.
Gabriel Diallo vs Karen Khachanov Odds & Betting Tips Our Prediction: Karen Khachanov To Get The Win
After analyzing hundreds of performance variables against all other players in their careers and recent form, as well as head to head performance stats, our pick indicates Gabriel Diallo has a 36.01% chance of winning and Karen Khachanov has a 63.99% chance of taking the victory. We tip Khachanov to get the win. Whether you should place a bet on this pick or not depends on the likely probability of the player winning relative to the odds
To see all live tennis scores for the Libema Open – ‘s-Hertogenbosch, go here.
Potential H2H Matches This Week For Gabriel Diallo
Rushit is an enthusiastic and skilled sports analyst known for his keen insights and accurate predictions across a variety of sports. With a background in data analytics, Rushit combines his love for sports with a methodical approach to statistics, offering a fresh perspective on game outcomes, player performances, and season trends.
His work is characterized by a deep understanding of statistical models, a passion for uncovering hidden patterns, and an ability to communicate complex analysis in an accessible and engaging way.
He is particularly known for his tennis head to head predictions, which have proven remarkably accurate over the years.
