Patterns in the match archive

Score frequencies

From the most common to the rarest: see how often each sequence of sets appears in tennis history.

Match archive →

One full score per line, or separated by commas. Up to 10 scores. Accepts 4x6 or 4-6; set order matters.

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All players · ATP and WTA

Records in this selection364,194after applying the filters
Matches in the calculation361,044the denominator of every percentage
Distinct scores in the sample17,028set order and outcome preserved

Outside the calculation: 2,591 W.O. (no match played) and 559 records without an available, readable score. These are not included in the denominator.

Grouped scores

Historical frequency = matches with this score ÷ matches in the calculation × 100.

Winner’s score first, regardless of the selected players. Set order is preserved; tie-break points are ignored. Historical frequency is not a forecast.

Score, match count and share of the filtered sample
ScoreMatchesFrequencyMatch list
7x5 6x4 7x535<0.01%≈ 1 in every 10,315.54View matches ↗
7x6 6x2 7x635<0.01%≈ 1 in every 10,315.54View matches ↗
7x6 7x5 6x235<0.01%≈ 1 in every 10,315.54View matches ↗
0x6 6x2 6x234<0.01%≈ 1 in every 10,618.94View matches ↗
3x6 6x0 7x634<0.01%≈ 1 in every 10,618.94View matches ↗
6x0 3x6 7x534<0.01%≈ 1 in every 10,618.94View matches ↗
6x0 5x7 6x434<0.01%≈ 1 in every 10,618.94View matches ↗
6x1 4x1RET34<0.01%≈ 1 in every 10,618.94View matches ↗
6x1 9x734<0.01%≈ 1 in every 10,618.94View matches ↗
6x4 3x6 6x3 6x434<0.01%≈ 1 in every 10,618.94View matches ↗
6x4 3x6 8x634<0.01%≈ 1 in every 10,618.94View matches ↗
6x7 6x1 6x034<0.01%≈ 1 in every 10,618.94View matches ↗
7x5 0x6 6x334<0.01%≈ 1 in every 10,618.94View matches ↗
7x5 6x3 7x634<0.01%≈ 1 in every 10,618.94View matches ↗
7x6 0x6 6x334<0.01%≈ 1 in every 10,618.94View matches ↗
7x6 6x1 6x134<0.01%≈ 1 in every 10,618.94View matches ↗
8x6 8x634<0.01%≈ 1 in every 10,618.94View matches ↗
0x6 6x4 6x133<0.01%≈ 1 in every 10,940.73View matches ↗
3x6 6x3 6x4 6x433<0.01%≈ 1 in every 10,940.73View matches ↗
4x6 6x3 8x633<0.01%≈ 1 in every 10,940.73View matches ↗
5x7 6x0 6x433<0.01%≈ 1 in every 10,940.73View matches ↗
6x0 5x7 6x233<0.01%≈ 1 in every 10,940.73View matches ↗
6x0 6x2 6x133<0.01%≈ 1 in every 10,940.73View matches ↗
6x1 3x1RET33<0.01%≈ 1 in every 10,940.73View matches ↗
6x1 6x4 7x533<0.01%≈ 1 in every 10,940.73View matches ↗
6x2 6x0 6x333<0.01%≈ 1 in every 10,940.73View matches ↗
6x3 3x6 8x633<0.01%≈ 1 in every 10,940.73View matches ↗
6x4 0x6 7x533<0.01%≈ 1 in every 10,940.73View matches ↗
6x7 6x0 7x533<0.01%≈ 1 in every 10,940.73View matches ↗
7x5 1x6 6x133<0.01%≈ 1 in every 10,940.73View matches ↗
7x5 1x6 7x533<0.01%≈ 1 in every 10,940.73View matches ↗
0x6 6x4 7x632<0.01%≈ 1 in every 11,282.63View matches ↗
10x8 6x432<0.01%≈ 1 in every 11,282.63View matches ↗
1x6 6x0 6x332<0.01%≈ 1 in every 11,282.63View matches ↗
3x6 6x0 7x532<0.01%≈ 1 in every 11,282.63View matches ↗
4x6 6x3 6x4 6x432<0.01%≈ 1 in every 11,282.63View matches ↗
5x7 7x6 6x032<0.01%≈ 1 in every 11,282.63View matches ↗
6x0 5x7 6x132<0.01%≈ 1 in every 11,282.63View matches ↗
6x1 2x1RET32<0.01%≈ 1 in every 11,282.63View matches ↗
6x1 6x3 7x532<0.01%≈ 1 in every 11,282.63View matches ↗
6x2 5x7 6x032<0.01%≈ 1 in every 11,282.63View matches ↗
6x3 3x6 6x3 6x432<0.01%≈ 1 in every 11,282.63View matches ↗
6x4 6x1 7x532<0.01%≈ 1 in every 11,282.63View matches ↗
7x5 7x5 6x332<0.01%≈ 1 in every 11,282.63View matches ↗
7x5 7x6 6x232<0.01%≈ 1 in every 11,282.63View matches ↗
7x5 7x6 6x432<0.01%≈ 1 in every 11,282.63View matches ↗
7x5 7x6 7x632<0.01%≈ 1 in every 11,282.63View matches ↗
7x6 0x0RET32<0.01%≈ 1 in every 11,282.63View matches ↗
5x7 6x0 6x231<0.01%≈ 1 in every 11,646.58View matches ↗
5x7 7x5 6x031<0.01%≈ 1 in every 11,646.58View matches ↗
How to read this statistic

Percentages have two decimal places. Positive frequencies below 0.01% appear as <0.01%. The ratio ‘1 in every X’ divides the sample size by the number of matches with that score, using the original counts. X has up to two decimal places; ≈ indicates rounding.

The percentage is the historical probability of drawing this score from the selected matches. It does not predict the next match. For example: 10,000 out of 100,000 matches = 10%. Player, tournament and outcome filters change the sample; score search, sorting and pagination do not.

Score search matches the entire ordered sequence. Without an outcome suffix, it shows every recorded outcome in separate rows. Add RET, DEF or ABD to request a specific outcome, or use the outcome filter.

Scores follow the recorded winner’s perspective, even when players are selected. 6x4 6x3 and 6x3 6x4 are different. Selecting two players includes wins by either; selecting one includes every opponent.

Tie-break points in parentheses are ignored: 7-6(5) and 7-6(3) become 7x6. Bracketed match tie-breaks remain distinct, for example [10x8]. Partial sets and their order are preserved. RET means retirement; DEF, default; ABD, abandonment. Outcomes remain separate groups.

This is the available singles archive, not every match ever played. ATP/WTA selects the tour; Grand Slam selects the category within it. Completion follows the recorded outcome. Missing or unrecognized scores are excluded as a whole, rather than partially counted. Historical dates may refer to the tournament start; recent matches can have exact dates. Results refresh within five minutes.

Data coverage and methodology →