Drew Van Orderlain vs Wilhelm Saiga Important H2H Prediction Stats:

Head-to-head: Orderlain 0 - 0 Saiga

• Second serve performance recent form: In recent form (last 6 months), Orderlain has won 44.68% of points on their second serve, while Saiga has won 0%. There is a high correlation between this stat and match prediction accuracy.
• Return game stats recent form: Return stats show Orderlain, in recent form, has won 45.2% of their opponent's second serve points, while Saiga has won 0%. The same stats for first serve returns are 22.69% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
• Under pressure analysis: Orderlain has saved 52.8% of breakpoints in recent form, whereas Saiga has saved 0% which is a useful statistic for in-game betting predictions.
• Performance overview: Over the last year Orderlain has won 34.21% of matches played (W/L 13/ 25), with Saiga winning 11.11% (W/L 1/ 8) that gives us an overall head-to head prediction overview.
• Best surface: Orderlain has their best career surface win % on I.hard, winning 46% (W/L 28/ 33), and worse career win % on Clay, winning 38% (W/L 44/ 72). Saiga has their best career surface win % on Hard, winning 26% (W/L 5/ 14), and worse career win % on Clay, winning 0% (W/L 0/ 2).
• Player level: In the last year, Orderlain has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 37.14% of matches (W/L 13/ 22), where as Saiga has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 11.11% of matches (W/L 1/ 8). 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, Orderlain has played against opponents with an average rank of 69.92 while Saiga has played against players with an average rank of 76.
• Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Orderlain has won 71% of deciding sets over the last 12 months, while Saiga has won 0% in all matches played on tour.
• Current event H2H stats: Past player performance 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 (if they have played a match in the current event). 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, Orderlain has converted 41.18% of breakpoint opportunities, and Saiga has converted 0% 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)

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