Second serve performance analysis: In matches leading up to this game, Pegula has won 51% of points on his second serve, while Wang has won 50% 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 Pegula has won 38% of his opponent’s first serve points, while Wang has won 36%. The same stats for second serve return points are 57% and 53% respectively which historical data suggests is very important when picking h2h betting tips.
Performance under pressure prediction: Pegula has been saving 59% of his breakpoints, and Wang has saved 57% which is a useful statistic for in-game betting predictions.
Overall performance: In recent matches Pegula has won 73% of matches played (W/L 19/7) with Wang winning 54% (W/L 19/16).
Surface prediction: Pegula performs best on Hard, winning 66% (W/L 233/121) and worse career win % on Grass, winning 59% (W/L 29/20). Wang performs best on I.hard, winning 70% (W/L 39/17), and performs worse on Clay, winning 53% (W/L 33/29).
In play break point conversion prediction: Jessica Pegula has converted 44% of breakpoint opportunities in their recent games and Xinyu Wang has converted 42% 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, Xinyu Wang played Viktoriya Tomova in the First round at the Wimbledon – London and won 7-6(4) 3-6 6-0 in 01:49:00 . Jessica Pegula played Ashlyn Krueger in the First round at the Wimbledon – London and won 6-2 6-0 in 00:49:00.
Prediction Stats H2H Summary Of Xinyu Wang and Jessica Pegula
Of their last 10 matches played, Wang has won 6, while Pegula has won 8. The Matchstat.com prediction algorithm uses about 190 variables. One very important stat for this match is on Grass . In recent matches, Wang has won 49% of her own 2nd serve points and 43% of return points , while Pegula has won 53% of her own 2nd serve points and 43% of return points.
Lei@MatchStat
See below for our machine learning AI prediction for Wang Vs Pegula
Career Performance Prediction Factors In Our Pick:
Wang has won 7 titles in her career, while Jessica Pegula has won 6 events. Wang has won 51% (24618 of 48035) of points played in her entire career, and Pegula has achieved 52% (35845 of 69117). A great statistic to predict performance under pressure is that, Wang has won 49% of tie breaks in his entire career (45 of 91), whereas Jessica Pegula has won 59% (92 of 157). As per the image above, our algorithm is predicting Jessica Pegula has an 72.06% probability of winning this match.
Xinyu Wang vs Jessica Pegula Odds & Betting Tips – Our Prediction: Jessica Pegula 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 Xinyu Wang has a 27.94% chance of winning and Jessica Pegula has a 72.06% chance of taking the victory. We tip Pegula 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
Sportsbooks & Bookies Promo Codes For Wang vs Pegula
A value bet in tennis is identified when the odds offered by bookmakers provide a return higher than the actual probability of the event happening. This type of bet suggests that the bettor has a tip edge over the sportsbook. To calculate a value bet, one multiplies the decimal odds by their estimated probability of the outcome and subtracts 1. If the result is greater than 0, the bet is considered to have value. This strategy requires thorough research and understanding of various factors such as player performance, head-to-head statistics, surface preference, and current form. Finding value bets is a key strategy for achieving long-term success in tennis betting, emphasizing the importance of patience, discipline, and continuous learning in the betting process. Anyone joining our tennis betting predictions club gets all values calculated automatically to ensure the most accurate picks and tips. Check out the value bets for Xinyu Wang vs Jessica Pegula here.
To see the full prediction for Wang vs Pegula at Wimbledon – London, go to the head to head page here
This is just one of hundreds of machine learning AI tennis predictions available for matches today. See all the Matchstat.com Wimbledon Day 3 Predictions here.
To see all live tennis scores for the Wimbledon – London, go here.
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.