The Clutch Index · 1991–2024
Nerve, marked point by point
The umpire records every point; almost nobody adds them up correctly. Across 472 careers, break points saved tracks how well a man serves on ordinary points at R² 0.81, slope 0.98. It is mostly a serving statistic.
- Seasons
- 1991–2024
- Matches measured
- 93,720
- Players ranked
- 472
- Scale
- 50 ± 10
What it found
Players who reached the world's top five average 51.5. Players who never got past 50th average 49.3. Being one of the best of the era buys almost nothing under pressure.
The most-quoted clutch statistic in the sport measures 0.0% real signal. Players are bunched more tightly than chance alone would produce, so it earns no weight in the rating.
John Isner stands +2.32 standard deviations above average in tiebreaks — the highest of any player in any component — and -1.38 on return. No one else in the archive splits that far between serving and returning.
At the other end: Gasquet, Enqvist, Monaco close the list of 472.
Where the famous names land
of 472 ranked
Read the columns, not just the rank. The gaps between what these players did under pressure and what the rest of their game predicted are one or two points in a hundred — this is a measure of small margins, not of nerve failing. Federer, for one, came in above expectation on serve and in tiebreaks.
| # | Player | Clutch | Serve | Return |
|---|---|---|---|---|
| 5 | Rafael Nadal | 77.3 | +1.6 | +0.4 |
| 16 | Nick Kyrgios | 70.2 | +1.4 | +2.9 |
| 20 | Pete Sampras | 68.1 | +0.8 | +0.3 |
| 38 | Novak Djokovic | 64.1 | +0.9 | -0.3 |
| 57 | Andre Agassi | 61.4 | +1.2 | -0.3 |
| 61 | John Isner | 60.5 | +1.7 | -2.6 |
| 329 | Roger Federer | 44.9 | +0.6 | -1.2 |
| 446 | Andy Murray | 35.2 | -0.3 | -1.0 |
Columns are percentage points above or below what each player's own ordinary play predicted. Correlation between how good a player was and his clutch rating: r = 0.046 — near zero, so the index is not simply marking down the great.
The problem with the usual number
The leaderboard · top 25
Era filters hide rows. They never re-rank: a player's rating is his standing against his own contemporaries either way.
| # | Player | Clutch |
|---|---|---|
| 01 | | 82.8 |
| 02 | | 81.1 |
| 03 | | 80.6 |
| 04 | | 80.3 |
| 05 | | 77.3 |
| 06 | | 76.8 |
| 07 | | 76.2 |
| 08 | | 75.7 |
| 09 | | 75.4 |
| 10 | | 74.2 |
| 11 | | 74.0 |
| 12 | | 72.1 |
| 13 | | 71.9 |
| 14 | | 70.6 |
| 15 | | 70.4 |
| 16 | | 70.2 |
| 17 | | 69.3 |
| 18 | | 68.8 |
| 19 | | 68.6 |
| 20 | | 68.1 |
| 21 | | 68.1 |
| 22 | | 67.8 |
| 23 | | 67.4 |
| 24 | | 67.3 |
| 25 | | 66.9 |
Click any player for the breakdown · See all 472 ranked players ›
Single best performances
| Player | Surface | Break points | Above expected |
|---|---|---|---|
| | Clay | saved 20/21, won 5/6 | +10.1 |
| | Hard | saved 24/31, won 10/16 | +9.2 |
| | Clay | saved 24/32, won 8/11 | +9.0 |
By season
How the rating is built — formula, weights, thresholds, exclusions
What goes into the rating
The weights are not chosen. Each component is worth the share of its spread between players that binomial sampling noise cannot explain.
- Serving
- 0.476
- Returning
- 0.361
- Tiebreaks
- 0.163
- Deciders
- 0.000
Break points saved, against what his ordinary service game predicts · real signal 13.2%
Break points converted, against what his ordinary return game predicts · real signal 10.0%
Tiebreaks won, against what his overall point-winning predicts · real signal 4.5%
Deciding sets won, against what his overall match record predicts · real signal 0.0%
For each season, each component is fitted as an ordinary least-squares regression of the pressure rate on the corresponding ordinary rate, across that season's qualifying players. A player's residual — how far above or below the fitted line he came in — is the raw measurement.
Residuals are then shrunk toward zero by empirical Bayes: each component's spread is split into the part binomial sampling noise would produce and the part it cannot, and a player keeps only his share of the second. Without this the leaderboard fills with players who had one good year over a few hundred break points. Career figures are opportunity-weighted across seasons, restandardised across the pool, combined with the weights above, and expressed as 50 + 10 standard deviations.
Standardising within each season is what makes the eras comparable. Between 1991 and 2024 the tour-wide break-point-save rate rose from 58.5% to 61.8% and aces per match from 7.9 to 12.9. A single pool across all 34 seasons would hand modern players an advantage that has nothing to do with nerve.
What this supports: relative to the men he actually played, X performed N standard deviations above the line. What it does not support: that one era's clutch equals another's in absolute terms.
Qualification
What is excluded, and why
| Team events and exhibitions | 10,244 |
| Retired, walkover or defaulted | 2,592 |
| No serve statistics recorded | 1,785 |
| Score could not be parsed | 6 |
| Failed a consistency check | 28 |
| Excluded of 108,375 seen | 14,655 |
Team events go because Davis Cup, the Laver Cup and the United Cup use inconsistent formats and stat coverage, and the Next Gen Finals uses no-ad scoring — which makes every deuce a break point and would poison both break-point components outright. Retirements go entirely rather than partially: their serve figures stop mid-set and their set count breaks deciding-set detection.
Match records compiled by Jeff Sackmann, published as tennis_atp under CC BY-NC-SA 4.0. Computed 2026-08-27.