Tennis Glossary

1

1st Return Made % Return Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of first-serve returns put back in play.

📡 The Signal

The returner's survival rate against the bigger serve. Getting the ball back is step one.

🎯 Why It Matters

You can't win a return point if you miss the return. This is the foundation — everything else builds on it.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

First-serve returns in play ÷ total first serves faced × 100.

🚧 Common Mistake

Taking a full swing on fast first serves instead of using the server's pace.

🔁 Related Terms

🏆 Practical goal

Above 70%. Below 60% means too many free points for the server.

🛠️ How to improve it

Shorten your backswing, move your ready position forward, and focus on blocking the return deep.

🔤 Shorthand

1st Ret Made %

1st Return Win % Return Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points won when returning the opponent's first serve.

📡 The Signal

How well you handle the opponent's best weapon. Winning 30%+ here neutralises even strong servers.

🎯 Why It Matters

First serves are the toughest shots to return. Winning a meaningful percentage here takes pressure off the second-return game.

⭐ Impact

4/5 — Key factor

📏 How it's measured

Points won on 1st return ÷ first serves faced × 100.

🚧 Common Mistake

Giving up on first-serve return points — even getting the ball back creates pressure.

🔁 Related Terms

🏆 Practical goal

Above 30%. Below 25% means the server is dominating first-serve points.

🛠️ How to improve it

Work on return positioning and split step timing. Develop a reliable block return for big serves.

📊 Benchmarks

ATP28–35%

WTA32–40%

Junior35–45%

🔤 Shorthand

1st Ret Won %

1st Serve % Serve Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of first serves that land in the service box.

📡 The Signal

Reliability under pressure. A dip in 1st serve % often signals tension or fatigue before other stats show it.

🎯 Why It Matters

A higher first-serve percentage means fewer second serves, which are easier for the returner to attack. It's the gateway to free points.

⭐ Impact

4/5 — Key factor

📝 Example

Player hits 40 of 60 first serves in = 67% first-serve rate.

📏 How it's measured

First serves in ÷ total first serves attempted × 100.

🚧 Common Mistake

Equating a high 1st serve % with a good serve — accuracy without pace or placement is easily neutralised.

🔁 Related Terms

🏆 Practical goal

Consistently above 60%. Below 55% means too many second serves.

🛠️ How to improve it

Reduce serve speed by 10% and focus on placement. Practise serving under simulated pressure (e.g. score-based drills).

📊 Benchmarks

ATP60–65%

WTA58–64%

Junior50–60%

Club45–55%

🔤 Shorthand

1st In %

1st Serve Won % Serve Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points won when the first serve lands in.

📡 The Signal

The quality of your first-serve weapon. High accuracy + high won % = a serve that genuinely hurts opponents.

🎯 Why It Matters

First-serve points are where servers have the biggest advantage. Winning a high percentage here creates a cushion for the inevitable tougher second-serve points.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Points won on first serve ÷ first serves in × 100.

🚧 Common Mistake

Focusing only on aces — most first-serve points are won on the 2nd or 3rd shot, not the serve itself.

🔁 Related Terms

🏆 Practical goal

Above 65%. Below 60% means the first serve isn't generating enough advantage.

🛠️ How to improve it

Develop a reliable serve+1 pattern. Target specific locations on first serve rather than just hitting hard.

📊 Benchmarks

ATP70–80%

WTA65–75%

Junior55–65%

Club50–60%

🔤 Shorthand

1st Won %

2

2nd Return Made % Return Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of second-serve returns put back in play.

📡 The Signal

Missing a second-serve return is handing over a free ace. This should be near-100%.

🎯 Why It Matters

A missed second-serve return is one of the most wasteful errors in tennis. It turns the server's weakest moment into a free point.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Second-serve returns in play ÷ total second serves faced × 100.

🚧 Common Mistake

Over-hitting the second-serve return trying to be aggressive before securing the return.

🔁 Related Terms

🏆 Practical goal

Above 85%. Below 80% is a major red flag.

🛠️ How to improve it

Commit to getting the return in play first, attack second. Step forward and take the ball early.

🔤 Shorthand

2nd Ret Made %

2nd Return Win % Return Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points won when returning the opponent's second serve.

📡 The Signal

Your ability to punish the opponent's vulnerability. This should be significantly higher than 1st return win %.

🎯 Why It Matters

Second serves are where returners should thrive. If you're not winning a majority here, you're leaving break opportunities on the table.

⭐ Impact

4/5 — Key factor

📏 How it's measured

Points won on 2nd return ÷ second serves faced × 100.

🚧 Common Mistake

Returning second serves the same way as first serves — you should be more aggressive.

🔁 Related Terms

🏆 Practical goal

Above 52%. Below 48% means not punishing weak second serves.

🛠️ How to improve it

Step inside the baseline on second serves. Develop an attacking return — drive or chip and charge.

📊 Benchmarks

ATP50–58%

WTA52–60%

Junior50–60%

🔤 Shorthand

2nd Ret Won %

2nd Serve % Serve Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of second serves that land in the service box.

📡 The Signal

Reliability under maximum pressure. A missed second serve is a double fault — the costliest error in tennis.

🎯 Why It Matters

Should be very high (85%+) since a missed second serve is a free point for the opponent.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Second serves in ÷ total second serves attempted × 100.

🚧 Common Mistake

Ignoring this stat because it's 'boring' — but consistency here prevents scoreboard damage.

🔁 Related Terms

🏆 Practical goal

Above 85%. Below 80% indicates a fundamental reliability problem.

🛠️ How to improve it

Build a go-to second serve with heavy spin. Groove it in practice until it's automatic under pressure.

📊 Benchmarks

ATP88–94%

WTA86–92%

Junior80–88%

Club75–85%

🔤 Shorthand

2nd In %

2nd Serve Won % Serve Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points won when the player hits a second serve.

📡 The Signal

The true test of a server. Unlike first serve, there's nowhere to hide — second-serve quality separates levels.

🎯 Why It Matters

A weak second serve is the single biggest vulnerability in tennis. It's the moment where the returner has the best chance to take control.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Points won on second serve ÷ second serves in × 100.

🚧 Common Mistake

Babying the second serve for safety — a slow, flat second serve is actually more dangerous than a well-spun one.

🔁 Related Terms

🏆 Practical goal

Above 50%. Below 45% means the second serve is being attacked too easily.

🛠️ How to improve it

Add spin (kick/slice) to create a higher bounce or wider angle. Practise second-serve patterns, not just the serve in isolation.

📊 Benchmarks

ATP50–58%

WTA46–54%

Junior40–50%

Club35–45%

🔤 Shorthand

2nd Won %

A

Attacking % Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points where the player is in an attacking position.

📡 The Signal

Playing style indicator. High attacking % = proactive tennis. Low = reactive or pushed back.

🎯 Why It Matters

Indicates whether you're dictating play or responding to your opponent's aggression.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Points in attacking position ÷ total points × 100.

🚧 Common Mistake

Confusing attacking with reckless — being aggressive from the wrong position leads to errors.

🔁 Related Terms

🏆 Practical goal

Above 40% for baseline players, above 50% for aggressive styles.

🛠️ How to improve it

Develop patterns that move you inside the baseline. Look for short balls to attack.

🔤 Shorthand

Atk %

B

Break % Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of return games where the returner breaks serve.

📡 The Signal

Your ability to capitalise when the opponent is serving. Even 20-30% is enough to win matches.

🎯 Why It Matters

Breaking serve is the primary mechanism for winning sets. You only need one break per set.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Return games won ÷ total return games × 100.

🚧 Common Mistake

Expecting to break every return game — even top pros break less than 30% of the time.

🔁 Related Terms

🏆 Practical goal

Above 25% for competitive matches.

🛠️ How to improve it

Focus on return consistency and being aggressive on second-serve returns. Create break point opportunities.

🔤 Shorthand

Break %

Break Point Conversion % Pressure Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of break point opportunities converted into breaks.

📡 The Signal

Clutch performance on the biggest moments. Even small improvements here change match outcomes dramatically.

🎯 Why It Matters

Break points decide matches. Converting at 40% vs 25% is the difference between winning and losing tight sets.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Breaks achieved ÷ break point opportunities × 100.

🚧 Common Mistake

Over-pressing on break points — the best approach is often to play a solid, deep return and build the point.

🔁 Related Terms

🏆 Practical goal

Above 40%.

🛠️ How to improve it

Practise pressure scenarios specifically. Develop a go-to return pattern for break points.

📊 Benchmarks

ATP40–48%

WTA42–50%

Junior35–45%

🔤 Shorthand

BP Conv %

Break Point Saved % Pressure Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of break points faced that the server saves.

📡 The Signal

Serving under maximum pressure. Great servers save 65%+ of break points. This is where mental toughness shows most clearly.

🎯 Why It Matters

Saving break points keeps you in the set. One saved break point at 4-5 can be the difference between winning and losing.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Break points saved ÷ break points faced × 100.

🚧 Common Mistake

Changing your serve pattern under pressure instead of trusting what works.

🔁 Related Terms

🏆 Practical goal

Above 55%.

🛠️ How to improve it

Develop a reliable clutch serve pattern (usually wide or body). Practise serving at break point down specifically.

📊 Benchmarks

ATP62–68%

WTA55–63%

Junior50–60%

🔤 Shorthand

BP Saved %

C

Conversion % Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points won when in an attacking position.

📡 The Signal

Finishing efficiency. High conversion = clinical. Low conversion = creating chances but wasting them.

🎯 Why It Matters

Creating attacking opportunities is only half the battle. Converting them into points won is what wins matches.

⭐ Impact

4/5 — Key factor

📏 How it's measured

Points won from attacking position ÷ total points in attacking position × 100.

🚧 Common Mistake

Going for too much on the finishing shot — a well-placed shot is better than a wild winner attempt.

🔁 Related Terms

🏆 Practical goal

Above 60%. Below 55% means wasting too many opportunities.

🛠️ How to improve it

Practise approach shots and finishing patterns. Work on volley technique and overhead confidence.

🔤 Shorthand

Conv %

D

Defending % Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points where the player is in a defensive position.

📡 The Signal

How often you're being pushed around. Some defending is inevitable, but consistently high defending % means you're not controlling rallies.

🎯 Why It Matters

Excessive defending wears you down physically and mentally. It also limits your ability to create winners.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Points in defensive position ÷ total points × 100.

🚧 Common Mistake

Assuming high defending % means poor quality — some players are elite defenders who thrive from behind the baseline.

🔁 Related Terms

🏆 Practical goal

Below 30%. Above 40% is concerning.

🛠️ How to improve it

Work on positioning, depth, and taking the ball on the rise to reduce time in defensive positions.

🔤 Shorthand

Def %

Double Fault % Serve Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of service points that result in a double fault.

📡 The Signal

Pressure leakage. Double faults spike when nerves rise — tracking the pattern reveals mental fragility on serve.

🎯 Why It Matters

Every double fault is a free point for the opponent, often at the worst possible moment. It's the serve equivalent of an own goal.

⭐ Impact

4/5 — Key factor

📏 How it's measured

Double faults ÷ total service points × 100.

🚧 Common Mistake

Treating all double faults equally — a DF at 40-0 is very different from one at 30-40.

🔁 Related Terms

🏆 Practical goal

Below 5%. Above 8% is a red flag requiring immediate attention.

🛠️ How to improve it

Develop a reliable spin second serve. Create a pre-serve routine that resets mental state after a fault.

📊 Benchmarks

ATP2–4%

WTA3–5%

Junior5–8%

Club6–12%

🔤 Shorthand

DF %

H

Hold % Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of service games won (held).

📡 The Signal

Serving reliability over a match or season. Holding serve is the minimum expectation — breaking serve is how you win.

🎯 Why It Matters

If you don't hold serve, you can't win sets without breaking every game. Hold % is the foundation of competitive tennis.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Service games won ÷ total service games × 100.

🚧 Common Mistake

Only looking at hold % across a season without checking how it varies by opponent quality.

🔁 Related Terms

🏆 Practical goal

Above 70% for competitive juniors. Above 80% for strong tournament players.

🛠️ How to improve it

Improve first-serve percentage and develop a second-serve that can't be easily attacked.

📊 Benchmarks

ATP80–90%

WTA65–78%

Junior55–70%

Club50–65%

🔤 Shorthand

Hold %

P

Percentile Analytics & Meta Metrics ★ ★ ★ ★ ★

🖼️ What

A score indicating where a player's stat falls relative to a comparison group.

📡 The Signal

Relative standing. 80th percentile means better than 80% of the group. Context-dependent — always ask 'compared to whom?'

🎯 Why It Matters

Raw numbers mean little without context. Percentiles provide that context by comparing against peers.

⭐ Impact

2/5 — Contributing factor

📝 Example

A 1st Serve % of 62% might be 75th percentile among U14 girls but only 40th percentile among U16.

📏 How it's measured

Player stat value ranked against all values in the comparison group, expressed as a percentage.

🚧 Common Mistake

Comparing percentiles across different comparison groups (e.g. squad vs ATP benchmarks).

🔁 Related Terms

Points Won % Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The total percentage of all points won in a match.

📡 The Signal

The purest measure of dominance. Even 55% points-won usually means a comfortable win. Tennis magnifies small edges.

🎯 Why It Matters

Combines serve, return, and rally into one number. If you're above 52%, you're probably winning. Below 48%, you're probably losing.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Total points won ÷ total points played × 100.

🚧 Common Mistake

Ignoring this stat in favour of flashier metrics like winner count.

🔁 Related Terms

🏆 Practical goal

Above 52% in competitive matches.

🛠️ How to improve it

Focus on reducing unforced errors first — they're the fastest way to shift points-won %.

🔤 Shorthand

PW %

R

Radar Chart Analytics & Meta Metrics ★ ★ ★ ★ ★

🖼️ What

A circular chart with multiple axes, each representing a different metric.

📡 The Signal

Shape tells the story — a large, even shape means well-rounded; spikes and dips reveal specialisation or weakness.

🎯 Why It Matters

Makes complex multi-metric data instantly understandable. One glance reveals the player's profile.

⭐ Impact

2/5 — Contributing factor

📏 How it's measured

Player values plotted on normalised axes and connected to form a polygon shape.

🔁 Related Terms

Rally Win % by Length Rally Metrics ★ ★ ★ ★ ★

🖼️ What

The percentage of points won in each rally length category (short, medium, long).

📡 The Signal

Your playing style fingerprint. Where you win reveals who you are as a player — and where opponents should challenge you.

🎯 Why It Matters

Comparing win rates across categories reveals strengths and weaknesses. Are you better in quick exchanges or long baseline battles?

⭐ Impact

4/5 — Key factor

📝 Example

Player wins 65% of short rallies but only 40% of long rallies — strong first strike, needs endurance work.

📏 How it's measured

Points won ÷ total points in each length category (0-4, 5-8, 9+) × 100.

🚧 Common Mistake

Only looking at overall win rate without understanding which rally lengths contribute most.

🔁 Related Terms

🏆 Practical goal

Win above 50% in at least two of the three categories.

🛠️ How to improve it

Identify your weakest category and train specifically for it. If weak in short rallies: serve+1 patterns. If weak in long: consistency drills.

Ranking Points Development Metrics ★ ★ ★ ★ ★

🖼️ What

Points earned from sanctioned tournament results that determine ranking position.

📡 The Signal

Competitive output over time. Your best N results in a rolling period form your ranking.

🎯 Why It Matters

More points = higher ranking = better seedings = better draw positions = easier path to deep runs.

⭐ Impact

2/5 — Contributing factor

📏 How it's measured

Sum of best ranking points from sanctioned events within the ranking period.

🚧 Common Mistake

Playing events you're likely to lose in R1 just because they're high-class — you need to actually win rounds.

🔁 Related Terms

🏆 Practical goal

Plan a tournament schedule that maximises ranking point opportunities.

🛠️ How to improve it

Target events where you can realistically reach QF or better. Event class × round reached = ranking points.

Return Points Won % Return Metrics ★ ★ ★ ★ ★

🖼️ What

The overall percentage of points won while returning serve.

📡 The Signal

The mirror of Serve Points Won %. A return game above 40% creates constant break pressure.

🎯 Why It Matters

Breaking serve is how you win sets. Strong return numbers put the server under pressure every game.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

Points won on return ÷ total return points × 100.

🚧 Common Mistake

Trying to hit return winners instead of building return points through consistency.

🔁 Related Terms

🏆 Practical goal

Above 38%. Below 35% means rarely creating break chances.

🛠️ How to improve it

Focus on return depth and consistency before aggression. Get the ball back deep, then look for opportunities.

📊 Benchmarks

ATP35–42%

WTA38–46%

Junior40–50%

Club42–52%

🔤 Shorthand

RPW %

S

Scouting Report Analytics & Meta Metrics ★ ★ ★ ★ ★

🖼️ What

A performance profile showing key statistics plotted on a radar chart against squad benchmarks.

📡 The Signal

The big picture at a glance. Shape of the radar reveals playing style; gaps reveal priorities.

🎯 Why It Matters

Gives coaches and players a quick visual overview of strengths and weaknesses across 12 key metrics.

⭐ Impact

4/5 — Key factor

📝 Example

A player's radar shows a large serve sector but small return sector — strong server, needs return work.

📏 How it's measured

12 scouting metrics plotted against percentile scales derived from squad benchmarks.

🔁 Related Terms

Serve Points Won % Serve Metrics ★ ★ ★ ★ ★

🖼️ What

The overall percentage of points won on serve, combining first and second serve outcomes.

📡 The Signal

The single best summary of serving effectiveness. If this number is above 60%, you're winning most service games.

🎯 Why It Matters

You need to win a majority of service points to hold serve consistently. This is the foundation metric for the serve game.

⭐ Impact

5/5 — Decisive factor

📏 How it's measured

(1st serve points won + 2nd serve points won) ÷ total service points × 100.

🚧 Common Mistake

Only looking at this number without breaking it down into 1st/2nd serve components.

🔁 Related Terms

🏆 Practical goal

Above 58%. Below 55% means you're under constant pressure on serve.

🛠️ How to improve it

Improve first-serve percentage OR second-serve quality — whichever is the weaker link.

📊 Benchmarks

ATP62–70%

WTA56–64%

Junior52–60%

Club48–56%

🔤 Shorthand

SPW %

Squad Benchmark Analytics & Meta Metrics ★ ★ ★ ★ ★

🖼️ What

The average performance level of the training squad across key metrics.

📡 The Signal

Your peer reference point. Where you sit relative to squad average shows whether you're leading or trailing in each area.

🎯 Why It Matters

Provides a meaningful local comparison for players in the same training environment.

⭐ Impact

2/5 — Contributing factor

📏 How it's measured

Mean of all squad players' values for each scouting metric.

🔁 Related Terms

T

TI Ranking Development Metrics ★ ★ ★ ★ ★

🖼️ What

Tennis Ireland national ranking based on tournament results.

📡 The Signal

Your position in the Irish competitive landscape. Important for seedings and event entry.

🎯 Why It Matters

Determines seedings, entry to higher-level events, and provincial/national selection.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Sum of best ranking points from TI-sanctioned events within a rolling period.

🚧 Common Mistake

Playing too many low-class events (T100/T200) where the ranking points ceiling is low.

🔁 Related Terms

🏆 Practical goal

Focus on entering the right event classes (T300+) for meaningful ranking point gains.

🛠️ How to improve it

Play more sanctioned events at the highest class you can enter. Go deeper in draws (later rounds = more points).

🔤 Shorthand

TI Rank

U

UTR (Universal Tennis Rating) Development Metrics ★ ★ ★ ★ ★

🖼️ What

A rating system using match scores (not just wins/losses) on a scale of 1 to 16.5.

📡 The Signal

Score-based quality measure. Because it uses scores, not just results, it captures how you win, not just whether you win.

🎯 Why It Matters

Widely used in US college tennis recruiting. More granular than traditional rankings for measuring level.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Algorithm analysing match scores, opponent UTR, and recency of results.

🚧 Common Mistake

Not understanding that UTR penalises close losses to weaker players more than close losses to stronger players.

🔁 Related Terms

🏆 Practical goal

Track 3-month rolling trend.

🛠️ How to improve it

Win matches decisively (score margin matters) and compete regularly against rated players.

🔤 Shorthand

UTR

W

Winner-to-UE Ratio Match & Score Metrics ★ ★ ★ ★ ★

🖼️ What

The ratio of winners to unforced errors.

📡 The Signal

Controlled aggression vs recklessness. Above 1.0 = attacking smartly. Below 1.0 = giving away too many free points.

🎯 Why It Matters

Combines shot-making ability with decision-making. A player with 20 winners and 30 UE (0.67) is hurting themselves despite the attacking intent.

⭐ Impact

4/5 — Key factor

📏 How it's measured

Total winners ÷ total unforced errors.

🚧 Common Mistake

Chasing a high winner count instead of reducing errors — reducing 5 UE is worth more than adding 5 winners.

🔁 Related Terms

🏆 Practical goal

Above 1.0 consistently.

🛠️ How to improve it

Reduce UE first (it's easier than increasing winners). Choose higher-percentage shot selections.

📊 Benchmarks

ATP1.0–1.5

WTA0.8–1.3

Junior0.6–1.0

🔤 Shorthand

W:UE

WTN (World Tennis Number) Development Metrics ★ ★ ★ ★ ★

🖼️ What

A universal ITF rating on a scale of 40 (beginner) to 1 (world-class).

📡 The Signal

Where you sit globally. Allows comparison across countries and age groups using a single consistent system.

🎯 Why It Matters

Provides a standardised measure of playing level that works internationally.

⭐ Impact

3/5 — Meaningful factor

📏 How it's measured

Algorithm using match results, opponent quality, and score margins. Updated regularly by the ITF.

🚧 Common Mistake

Obsessing over small WTN changes — the trend over months matters more than individual fluctuations.

🔁 Related Terms

🏆 Practical goal

Track improvement over 6-month intervals rather than week-to-week.

🛠️ How to improve it

Play sanctioned events against quality opponents. Close matches against higher-rated players help more than easy wins.

🔤 Shorthand

WTN

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C

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U

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See these stats in action