Sports & Gaming · Statistics · Descriptive Statistics
Tennis First Serve Percentage Calculator
Calculate a tennis player's first serve percentage, first serve points won percentage, and second serve points won percentage from raw match statistics.
Calculator
Formula
FSP = First Serve Percentage. First Serves In = number of first serves that landed in the service box. Total First Serves Attempted = total number of first serve attempts (including faults). Points Won on First Serve % = (points won on first serve / first serves in) × 100. Points Won on Second Serve % = (points won on second serve / second serves in) × 100.
Source: ATP/WTA Official Statistics Definitions, ATP Tour Media Guide 2023.
How it works
First Serve Percentage (FSP) is the most fundamental serve statistic: it divides the number of first serves that land in the service box by the total number of first serve attempts, then multiplies by 100. A serve attempt counts even when the player commits a fault, so FSP directly measures serve consistency. The ATP Tour average hovers around 58–65%, and WTA averages are similar.
First Serve Points Won % measures how effective a player is once the first serve lands in — it divides points won on first serve by first serves in, and multiplies by 100. Top ATP servers typically win 75–80% of first-serve points, while the WTA average is around 68–73%. This metric captures the quality of the serve placement and pace, not just its consistency.
Second Serve Points Won % follows the same logic for second serves. Because second serves are generally slower and more conservative, winning percentages drop to roughly 50–58% on the ATP Tour and 48–55% on the WTA Tour. The calculator also estimates double faults by subtracting second serves in from total second serve opportunities (i.e., first serve faults), and computes an overall service points won percentage across all service points played.
Worked example
Suppose a player hit 45 first serves in from 65 first serve attempts, won 32 points on those first serves, had 18 second serves in, and won 8 points on second serve.
Step 1 — First Serve Percentage: 45 ÷ 65 × 100 = 69.2%. This is above the tour average, indicating good consistency.
Step 2 — First Serve Points Won: 32 ÷ 45 × 100 = 71.1%. A solid figure, close to the ATP average.
Step 3 — Second Serve Attempts: 65 − 45 = 20 first serve faults, meaning 20 second serves were attempted. With 18 in, there were 20 − 18 = 2 double faults.
Step 4 — Second Serve Points Won: 8 ÷ 18 × 100 = 44.4%. Below the typical average, suggesting the second serve is a weakness to work on.
Step 5 — Overall Serve Points Won: Total service points = 45 + 18 + 2 = 65. Points won = 32 + 8 = 40. Overall = 40 ÷ 65 × 100 = 61.5%.
Limitations & notes
This calculator assumes each service point involves exactly one first serve attempt and, if that faults, one second serve attempt — the standard scoring structure in tennis. It does not account for let (net) calls, which require a re-serve and do not count as faults; including lets in your 'first serves attempted' count will inflate the fault figure. The double fault estimate derived here is arithmetic and will be accurate only if your inputs are internally consistent (first serves in ≤ first serves attempted, points won ≤ serves in, etc.). The calculator flags invalid inputs by returning no result rather than a misleading number. Finally, these statistics describe a single match or set; drawing conclusions about a player's serve ability requires aggregating data across many matches to achieve statistical significance.
Frequently asked questions
What is a good first serve percentage in tennis?
A commonly cited target for recreational and competitive players is 60–70%. On the ATP and WTA Tours the average sits around 58–65%. Going too high (above 75%) often means the player is sacrificing pace and placement for safety, while going too low (below 50%) creates excessive pressure on the second serve and leads to more double faults.
Why do professional players sometimes aim for a lower first serve percentage?
Elite servers may deliberately sacrifice some first serve percentage to hit flatter, faster, or more aggressively placed serves. If the first serve is so effective that the player wins 85%+ of those points, even a 55% first-serve percentage can be a sound tactical choice — the risk of faulting more often is outweighed by the higher win rate when the serve lands in.
How does first serve percentage differ from first serve points won percentage?
First Serve Percentage (FSP) measures consistency — how often the first serve lands in the box. First Serve Points Won % measures effectiveness — how often the server wins the point once that first serve is in. A player can have a high FSP but a modest first-serve-points-won % if their serves are consistent but not threatening, and vice versa.
How are double faults counted in this calculator?
The calculator estimates double faults by subtracting second serves in from total second serve opportunities. Second serve opportunities equal (first serves attempted − first serves in), i.e., the number of first serve faults. If a player attempted 65 first serves, got 45 in, and had 18 second serves land in, the estimate is (65 − 45) − 18 = 2 double faults. This is arithmetically exact given accurate inputs.
What does the overall serve points won percentage tell me?
Overall Serve Points Won % aggregates all service points — those played on first serve, second serve, and those lost via double fault — into a single number. It represents the fraction of all service points won regardless of which serve was used. This is the broadest measure of service game health; most ATP top-10 players maintain an overall service points won % of 65% or higher across a season.
Can I use this calculator for doubles matches?
Yes. The underlying statistics — first serves in, attempts, and points won — are tracked the same way in doubles as in singles. Simply enter each player's individual serve statistics for the relevant service games. Note that in doubles, the dynamics of serving differ (the net player can poach, for example), so interpreting the numbers alongside doubles-specific context is important.
Last updated: 2025-01-30 · Formula verified against primary sources.