Joint vs Pegula Prediction, Tips & Picks Analysis:
Our tip: Pegula to win.
Second serve performance analysis: In matches leading up to this game, Pegula has won 49% of points on his second serve, while Joint 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 Pegula has won 38% of his opponent’s first serve points, while Joint has won 42%. The same stats for second serve return points are 57% and 58% respectively which historical data suggests is very important when picking h2h betting tips.
Performance under pressure prediction: Pegula has been saving 57% of his breakpoints, and Joint has saved 50% which is a useful statistic for in-game betting predictions.
Overall performance: In recent matches Pegula has won 75% of matches played (W/L 21/7) with Joint winning 62% (W/L 23/14).
Surface prediction: Pegula performs best on Hard, winning 67% (W/L 253/125) and worse career win % on I.hard, winning 57% (W/L 31/23). Joint performs best on Clay, winning 72% (W/L 23/9), and performs worse on I.hard, winning 56% (W/L 5/4).
In play break point conversion prediction: Jessica Pegula has converted 49% of breakpoint opportunities in their recent games and Maya Joint has converted 54% 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, Maya Joint played Sofia Kenin in the Quarterfinals at the Hobart International – Hobart and won 6-3 6-1 in 01:02:50 . Jessica Pegula played Ashlyn Krueger in the Quarterfinals at the Adelaide International – Adelaide and won 6-4 2-0 ret. in 00:49:25.
Prediction Stats H2H Summary Of Maya Joint and Jessica Pegula
Of their last 10 matches played, Joint has won 6, while Pegula has won 5. The Matchstat.com prediction algorithm uses about 190 variables. One very important stat for this match is on Hard . In recent matches, Joint has won 47% of her own 2nd serve points and 49% of return points , while Pegula has won 48% of her own 2nd serve points and 46% of return points.
Amanda@MatchStat
See below for our machine learning AI prediction for Joint Vs Pegula
Career Performance Prediction Factors In Our Pick:
Joint has won 2 titles in her career, while Jessica Pegula has won 7 events. Joint has won 52% (8251 of 15754) of points played in her entire career, and Pegula has achieved 52% (37940 of 73134). A great statistic to predict performance under pressure is that, Joint has won 52% of tie breaks in his entire career (13 of 25), whereas Jessica Pegula has won 59% (96 of 163). As per the image above, our algorithm is predicting Jessica Pegula has an 88.94% probability of winning this match.
Maya Joint 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 Maya Joint has a 11.06% chance of winning and Jessica Pegula has a 88.94% 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 Joint 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 Maya Joint vs Jessica Pegula here.
To see the full prediction for Joint vs Pegula at Australian Open – Melbourne, 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 Australian Open Day 0 Predictions here.
To see all live tennis scores for the Australian Open – Melbourne, 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.
