Lars Johann vs Mao Poels Important H2H Prediction Stats:

Head-to-head: Johann 0 - 0 Poels

• Second serve performance recent form: In recent form (last 6 months), Johann has won 0% of points on their second serve, while Poels has won 66.67%. There is a high correlation between this stat and match prediction accuracy.
• Return game stats recent form: Return stats show Johann, in recent form, has won 0% of their opponent's second serve points, while Poels has won 55.56%. The same stats for first serve returns are 0% and 31.82% respectively and this has a high correlation to pick who is favored in this H2H matchup.
• Under pressure analysis: Johann has saved 0% of breakpoints in recent form, whereas Poels has saved 50% which is a useful statistic for in-game betting predictions.
• Performance overview: Over the last year Johann has won 50% of matches played (W/L 2/ 2), with Poels winning 100% (W/L 1/ 0) that gives us an overall head-to head prediction overview.
• Best surface: Johann has their best career surface win % on Clay, winning 45% (W/L 13/ 16), and worse career win % on I.hard, winning 0% (W/L 0/ 1). Poels has their best career surface win % on Clay, winning 50% (W/L 1/ 1), and worse career win % on Clay, winning 50% (W/L 1/ 1).
• Player level: In the last year, Johann has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 50% of matches (W/L 2/ 2), where as Poels has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 100% of matches (W/L 1/ 0). When comparing stats between players to predict the favorite, it is of course all relative to the event level they have been playing at.
• Opponent quality stats: Over the last 12 months, Johann has played against opponents with an average rank of 0 while Poels has played against players with an average rank of 0.
• Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Johann has won 50% of deciding sets over the last 12 months, while Poels has won 100% in all matches played on tour.
• Current event H2H stats: Past player formance is very useful in predicting tennis matches, but once an event is under way we should also look at current event stats for in form player indication, so check the section below. Some players also perform better at certain events and this should be taken into account when picking the outcome.
• Break point conversion: In recent form, Johann has converted 0% of breakpoint opportunities, and Poels has converted 33.33% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.
• If you are interested in models that predict tennis matches, this article is a good start (Warning: Stats geeks only)