Second serve performance analysis: In matches leading up to this game, Paolini has won 49% of points on his second serve, while Wei 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 Paolini has won 36% of his opponent’s first serve points, while Wei has won 41%. The same stats for second serve return points are 55% and 58% respectively which historical data suggests is very important when picking h2h betting tips.
Performance under pressure prediction: Paolini has been saving 53% of his breakpoints, and Wei has saved 58% which is a useful statistic for in-game betting predictions.
Overall performance: In recent matches Paolini has won 60% of matches played (W/L 15/10) with Wei winning 72% (W/L 34/13).
Surface prediction: Paolini performs best on Clay, winning 63% (W/L 213/124) and worse career win % on Grass, winning 48% (W/L 14/15). Wei performs best on I.hard, winning 73% (W/L 8/3), and performs worse on Grass, winning 33% (W/L 1/2).
In play break point conversion prediction: Jasmine Paolini has converted 39% of breakpoint opportunities in their recent games and Sijia Wei has converted 50% 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, Sijia Wei played Nina Stojanovic in the Q3 round at the Australian Open – Melbourne and won 4-6 6-4 7-6(9) in 02:52:00 . Jasmine Paolini played Karolina Muchova in the Quarterfinals at the United Cup – Australia and lost 6-2 6-2 in 01:42:05.
Prediction Stats H2H Summary Of Sijia Wei and Jasmine Paolini
Of their last 10 matches played, Wei has won 8, while Paolini 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, Wei has won 48% of her own 2nd serve points and 47% of return points , while Paolini has won 49% of her own 2nd serve points and 44% of return points.
Lei@MatchStat
See below for our machine learning AI prediction for Wei Vs Paolini
Career Performance Prediction Factors In Our Pick:
Wei has won 10 titles in her career, while Jasmine Paolini has won 13 events. Wei has won 53% (15323 of 28771) of points played in her entire career, and Paolini has achieved 51% (37525 of 74297). A great statistic to predict performance under pressure is that, Wei has won 58% of tie breaks in his entire career (22 of 38), whereas Jasmine Paolini has won 54% (73 of 136). As per the image above, our algorithm is predicting Jasmine Paolini has an 82.7% probability of winning this match.
Sijia Wei vs Jasmine Paolini Odds & Betting Tips Our Prediction: Jasmine Paolini 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 Sijia Wei has a 17.3% chance of winning and Jasmine Paolini has a 82.7% chance of taking the victory. We tip Paolini 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 Wei vs Paolini
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 Sijia Wei vs Jasmine Paolini here.
To see the full prediction for Wei vs Paolini 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 ...
