Ekaterina Reyngold vs Maria Golovina Head-to-Head Stats, Results & Performance Comparison

Comparing the recent performance in second serve points, Reyngold has secured 39.52% of them over the past six months, while Golovina achieved 35.48%. This particular statistic is closely tied to match outcome predictions, pointing towards Reyngold's advantage.

When it comes to returning against the opponent's second serve, Reyngold has managed to win 52.08% of these points recently, slightly outdoing Golovina, who won 51.61%. Conversely, Golovina leads in first serve returns with 36.48% compared to Reyngold's 32.04%. These numbers are significant for determining the favorite in head-to-head matchups.

Under pressure scenarios show Reyngold saving 48.54% of breakpoints, while Golovina saves 46.89%. These statistics can guide in-game betting strategies. Over the past year, Golovina has demonstrated stronger overall performance, winning 69.05% (29 wins, 13 losses) of her matches, whereas Reyngold has won 47.83% (22 wins, 24 losses).

Analyzing surface preferences, Reyngold performs best on indoor hardcourts with a 65% win rate (30 wins, 16 losses), whereas her least favorable surface is clay with a 53% win rate (48 wins, 42 losses). Golovina favors hard courts, boasting a 70% win rate (33 wins, 14 losses), but shows weakness on indoor hardcourts with a 50% win rate (1 win, 1 loss).

Reflecting on the level of play, in the last year, Reyngold has primarily competed in Challengers/ITF tournaments over $10K, with a 51.28% success rate (20 wins, 19 losses). On the other hand, Golovina has been active in Futures/Satellites/ITF tournaments under $10K, achieving a 65.63% win rate (21 wins, 11 losses). The calibre of competition, with Reyngold facing opponents ranked on average 399.5 and Golovina encountering lower-ranked competitors at 413.81, also plays a role in evaluating their readiness and rank.

If the match extends to a deciding set, history shows Reyngold winning 36% of such scenarios in the past year, whereas Golovina's success rate is 56%, providing insight for live predictions. Breakpoint conversion stats further contribute to this analysis, with Reyngold converting 39.45% of opportunities compared to Golovina's 41.8%, adding another layer of tactical prediction.

In predicting the outcome of this upcoming match based on the statistical data, Golovina appears to be the stronger candidate, given her superior match win percentage, breakpoint conversion rate, and her ability to perform under pressure. However, both past performances and current form need to be considered for a comprehensive prediction.