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 selection364,216after applying the filters
Matches in the calculation361,066the 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
7x6 2x6 6x024<0.01%≈ 1 in every 15,044.42View matches ↗
7x6 3x2RET24<0.01%≈ 1 in every 15,044.42View matches ↗
9x8 6x224<0.01%≈ 1 in every 15,044.42View matches ↗
0x6 7x6 6x123<0.01%≈ 1 in every 15,698.52View matches ↗
1x6 7x6 6x023<0.01%≈ 1 in every 15,698.52View matches ↗
2x2RET23<0.01%≈ 1 in every 15,698.52View matches ↗
3x6 6x3 8x623<0.01%≈ 1 in every 15,698.52View matches ↗
4x6 6x3 6x4 7x623<0.01%≈ 1 in every 15,698.52View matches ↗
4x6 6x4 8x623<0.01%≈ 1 in every 15,698.52View matches ↗
6x0 6x3 6x023<0.01%≈ 1 in every 15,698.52View matches ↗
6x0 6x4 6x323<0.01%≈ 1 in every 15,698.52View matches ↗
6x1 5x7 6x023<0.01%≈ 1 in every 15,698.52View matches ↗
6x2 7x6 7x523<0.01%≈ 1 in every 15,698.52View matches ↗
6x4 11x923<0.01%≈ 1 in every 15,698.52View matches ↗
0x6 6x4 7x522<0.01%≈ 1 in every 16,412.09View matches ↗
0x6 7x5 6x222<0.01%≈ 1 in every 16,412.09View matches ↗
1x6 6x1 6x022<0.01%≈ 1 in every 16,412.09View matches ↗
2x6 6x0 7x522<0.01%≈ 1 in every 16,412.09View matches ↗
3x4RET22<0.01%≈ 1 in every 16,412.09View matches ↗
6x0 6x1 6x422<0.01%≈ 1 in every 16,412.09View matches ↗
6x0 6x7 7x622<0.01%≈ 1 in every 16,412.09View matches ↗
6x3 0x6 7x622<0.01%≈ 1 in every 16,412.09View matches ↗
6x3 4x2RET22<0.01%≈ 1 in every 16,412.09View matches ↗
6x4 10x822<0.01%≈ 1 in every 16,412.09View matches ↗
6x4 3x6 9x722<0.01%≈ 1 in every 16,412.09View matches ↗
6x4 6x0 6x122<0.01%≈ 1 in every 16,412.09View matches ↗
7x5 2x1RET22<0.01%≈ 1 in every 16,412.09View matches ↗
7x5 6x2 7x622<0.01%≈ 1 in every 16,412.09View matches ↗
7x5 7x5 6x222<0.01%≈ 1 in every 16,412.09View matches ↗
0x6 6x1 6x221<0.01%≈ 1 in every 17,193.62View matches ↗
2x6 6x3 8x621<0.01%≈ 1 in every 17,193.62View matches ↗
3x6 6x4 8x621<0.01%≈ 1 in every 17,193.62View matches ↗
4x6 6x2 8x621<0.01%≈ 1 in every 17,193.62View matches ↗
6x1 0x6 6x321<0.01%≈ 1 in every 17,193.62View matches ↗
6x2 4x6 8x621<0.01%≈ 1 in every 17,193.62View matches ↗
6x2 6x0 6x021<0.01%≈ 1 in every 17,193.62View matches ↗
6x4 4x2RET21<0.01%≈ 1 in every 17,193.62View matches ↗
7x6 0x6 6x221<0.01%≈ 1 in every 17,193.62View matches ↗
7x6 0x6 7x621<0.01%≈ 1 in every 17,193.62View matches ↗
7x6 3x1RET21<0.01%≈ 1 in every 17,193.62View matches ↗
7x6 6x1 7x521<0.01%≈ 1 in every 17,193.62View matches ↗
7x6 6x1 7x621<0.01%≈ 1 in every 17,193.62View matches ↗
8x521<0.01%≈ 1 in every 17,193.62View matches ↗
0x6 6x2 6x120<0.01%1 in every 18,053.3View matches ↗
0x6 7x5 6x120<0.01%1 in every 18,053.3View matches ↗
1x6 6x0 6x420<0.01%1 in every 18,053.3View matches ↗
4x6 6x2 6x3 6x420<0.01%1 in every 18,053.3View matches ↗
6x2 0x6 7x620<0.01%1 in every 18,053.3View matches ↗
6x2 9x820<0.01%1 in every 18,053.3View matches ↗
6x3 11x920<0.01%1 in every 18,053.3View 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 →