ATP & WTA Winners To Unforced Errors Ratio Leaders 2026

The winners-to-unforced-errors ratio divides the points a player ends outright by the points they hand over. Above 1.00 means more winners than unforced errors.

This is the efficiency read the raw winners board is missing: a player can lead in winners and still be losing, if the errors came at the same rate. A ratio over 1.00 means more winners than unforced errors across the season, which the tour median does not reach — so read the median printed under the table as the benchmark rather than assuming 1.00 is average. The same scorer-judgement caveat applies as on the winners board.

ATP winners-to-unforced-errors ratio leaders 2026

Jannik Sinner leads the ATP with 1.34 winners for every unforced error in 2026, measured over 47 qualifying matches — the most of any qualified ATP player this season. Taylor Fritz (1.31) and Jaume Munar (1.28) are next. 87 ATP players qualify, and the median of that field is 0.91.

ATP winners-to-unforced-errors ratio leaders, 2026 season — top 50 of 87 qualified players, ranked by w/ue, with the match sample behind each figure.
#PlayerCountryW/UEMatches
1Jannik SinnerITA1.3447
2Taylor FritzUSA1.3132
3Jaume MunarESP1.2815
4Arthur RinderknechFRA1.2727
5Alexander ZverevGER1.2061
6Alexander BublikKAZ1.1828
7Quentin HalysFRA1.1720
8Brandon NakashimaUSA1.1435
9Ben SheltonUSA1.1341
10Novak DjokovicSRB1.1321
11Hubert HurkaczPOL1.1126
12Tallon GriekspoorNED1.1020
13Alexei PopyrinAUS1.1021
14Carlos AlcarazESP1.0929
15Joao FonsecaBRA1.0930
16Jan-Lennard StruffGER1.0823
17Frances TiafoeUSA1.0644
18Alexander BlockxBEL1.0624
19Casper RuudNOR1.0530
20Andrey Rublev—1.0435
21Rinky HijikataAUS1.0317
22Felix Auger-AliassimeCAN1.0241
23Alex MichelsenUSA1.0127
24Valentin VacherotMON1.0023
25Yannick HanfmannGER1.0021
26Terence AtmaneFRA0.9927
27Jakub MensikCZE0.9839
28Alejandro TabiloCHI0.9828
29Thiago Agustin TiranteARG0.9828
30Juan Manuel CerundoloARG0.9820
31Corentin MoutetFRA0.9820
32Zachary SvajdaUSA0.9819
33Tomas Martin EtcheverryARG0.9731
34Stefanos TsitsipasGRE0.9730
35Matteo ArnaldiITA0.9617
36Alejandro Davidovich FokinaESP0.9525
37Marin CilicCRO0.9521
38Karen Khachanov—0.9437
39Dino PrizmicCRO0.9418
40Tommy PaulUSA0.9239
41Ethan QuinnUSA0.9219
42Marcos GironUSA0.9215
43Matteo BerrettiniITA0.9125
44Jaime FariaPOR0.9118
45Pablo Carreno BustaESP0.9116
46Daniil Medvedev—0.9041
47Arthur FilsFRA0.9038
48Jiri LeheckaCZE0.9038
49Aleksandar KovacevicUSA0.9021
50Luciano DarderiITA0.8931

37 further qualified ATP players are outside the top 50; the full field is sortable in the ATP stat explorer on Stat Leaders.

WTA winners-to-unforced-errors ratio leaders 2026

There is no WTA table here, and the reason is data rather than tennis: only 30% of the WTA matches in the qualifying pool carry this statistic at all. A leaderboard built on that would rank players by which events happened to record the number, not by how they played, so it is withheld.

How winners-to-unforced-errors ratio is measured

The ratio is total winners divided by total unforced errors — a ratio of season totals, not an average of per-match ratios.

A player qualifies for this board with at least 15 singles matches in the 2026 pool and at least 15 of those matches carrying this statistic. The floor is half the busiest schedule on tour, capped at 15 — a flat 15 would leave the board empty until roughly April, when the pool has barely filled. The Matches column on every row is that player's own denominator, so a number taken over a thin sample is visible as one rather than hidden behind a rank. A tour section is withheld entirely below 25 qualified players.

Coverage and limits

Figures cover Grand Slam, 1000- and 500-level singles matches in 2026, on every surface. 250-level and lower-tier events are not counted, so a player's totals here run below their full-season numbers — which is also why this page ranks a per-match or per-point RATE rather than a season total. A total drawn from a partial pool would be wrong in a way a rate is not.

Both halves of this ratio are scorer-judged rather than scoreboard-derived, and the two are recorded independently: a match logged for winners but not for unforced errors feeds the numerator without feeding the denominator. Read the ratio beside the sample count on each row rather than on its own. In the 2026 pool this statistic is recorded for 2,797 of the 3,040 ATP matches (92%).

Ranks and values on this page are computed over the same pool, so the ordering and the numbers beside it always agree. Drop Shot is not the ATP or the WTA and these are not official tour statistics: they are aggregated from our own match feed, and where a match did not report a statistic it contributes nothing to either the numerator or the denominator.