WTA Tennis Statistics
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Explore detailed WTA player stats based on serve, return, pressure points, odds and overall match performance. All players are listed in a sortable, searchable and color-coded table, with advanced ratios like Dominance Ratio, Breakpoints Prevail and Match Efficiency. Data is updated regularly and reflects results from the last 52 weeks across all surfaces.
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Understanding Tennis Statistics
Dominance Ratio
Sum of breakpoints created divided by a sum of breakpoints needed to defend during the previous year.
Top players are the ones who dominate their matches the most in terms of chances creation.
Breakpoints Prevail
Sum of breakpoints converted during return divided by a sum of breakpoints lost during serving games.
High value of this ratio means the player manages to break the opponent's serve more than losing their own and is effective in terms of conquering the match score.
This stat can reveal mental strength in crucial moments.
Dominance Efficiency
Indicates how players convert their dominance during the match into breaking their opponent. It is a division between the Breakpoints Prevail absolute value and Dominance Ratio.
High values mean that players overachieve in terms of breaking the opponent in reference to the numbers of breakpoint chances created and faced on their own serve.
Low values mean that players are less capable to convert the momentum which they can create during the game.
Match Efficiency
Indicates how players convert their performance into winning matches. It is a division between the Win-Loss Ratio and Dominance Ratio.
High values mean that players have abilities to win matches regardless of how much they dominate opponent during the games.
- Reveals mental strength in closing out matches
- Shows ability to win despite not dominating statistics
- Key indicator of overall competitive effectiveness
Pressure Points
TennisRatio's signature metric for match-critical moments
Pressure Points capture the moments when a server faces the immediate threat of losing their serve - either defending breakpoints or being one point away from a breakpoint situation.
The Pressure Points Scenarios
WTA players face 2.31 pressure points per service game vs 1.61 for ATP - a 43.5% increase.
At 0-40, ATP players hold just 17% of the time, WTA players only 10%.
From 30-30 and 40-40, servers hold 74% (ATP) and 63% (WTA) of the time.
Frequently Asked Questions
Statistical rankings are calculated by comparing each player's performance metrics against all other WTA players in the filtered dataset. The color-coded heatmap shows percentiles: green (top performers), yellow (average), and red (below average). Each statistic is calculated independently, so a player can rank high in some categories and lower in others.
By default, statistics reflect the last 52 weeks (rolling year) of matches. You can filter by "This Sear" for calendar year data, or select specific years like 2024 or 2025. The time range filter allows you to analyze both recent form and year-over-year trends. Data is updated daily with the latest match results. Every player in our database has the dedicated profile with advanced dashboard, containing the data about all matches played throughout whole career - including dynamic charts and detailed written player's bio.
Match data is automatically updated a few times per day. Ongoing tournament results are typically reflected up to 4 hours after matches conclude. The "Last Updated" date in the hero section shows when the most recent data refresh occurred. We prioritize accuracy over speed to ensure data quality.
The "Main Tour" filter excludes qualifying rounds (Q1, Q2, Q3) to focus only on main draw performance. This provides a more accurate picture of a player's competitive level, as qualifiers can skew statistics against lower-ranked opponents. "All Matches" includes everything, while "Grand Slams" shows only the main draw action from four major tournaments.
Pressure points are game-critical moments where momentum can shift dramatically. These include serving at 0-30, 15-30, 30-40 (defending break points), and returning at these same scores (attacking). Also included are deuce and advantage points. Performance in these situations often separates elite competitors from the rest, revealing mental toughness and clutch ability.
Different surfaces favor different playing styles. Hard courts generally favor excellent baseline game and powerful hitters. Clay courts slow the ball and favor baseline consistency and stamina. Grass courts reward aggressive serve-and-volley tactics. Many players excel on one surface but struggle on others, which is why surface-specific statistics provide crucial context for performance analysis.