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 selection364,209after applying the filters
Matches in the calculation361,059the 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 4x6 7x62200.06%≈ 1 in every 1,641.18View matches ↗
3x6 7x6 7x62190.06%≈ 1 in every 1,648.67View matches ↗
3x6 6x4 7x62170.06%≈ 1 in every 1,663.87View matches ↗
3x6 6x1 6x32160.06%≈ 1 in every 1,671.57View matches ↗
5x7 6x3 6x22150.06%≈ 1 in every 1,679.34View matches ↗
7x6 4x6 6x22140.06%≈ 1 in every 1,687.19View matches ↗
2x6 6x2 6x42100.06%≈ 1 in every 1,719.33View matches ↗
7x6 2x6 6x32100.06%≈ 1 in every 1,719.33View matches ↗
3x6 7x5 6x22090.06%≈ 1 in every 1,727.56View matches ↗
4x6 7x5 6x12080.06%≈ 1 in every 1,735.86View matches ↗
6x7 7x6 7x62080.06%≈ 1 in every 1,735.86View matches ↗
6x4 5x7 6x32070.06%≈ 1 in every 1,744.25View matches ↗
1x6 6x4 6x32040.06%≈ 1 in every 1,769.9View matches ↗
6x3 6x3 6x42040.06%≈ 1 in every 1,769.9View matches ↗
6x3 6x7 6x12040.06%≈ 1 in every 1,769.9View matches ↗
6x4 6x2 6x42030.06%≈ 1 in every 1,778.62View matches ↗
6x7 6x4 7x52030.06%≈ 1 in every 1,778.62View matches ↗
6x4 6x7 6x12020.06%≈ 1 in every 1,787.42View matches ↗
7x6 3x6 6x22020.06%≈ 1 in every 1,787.42View matches ↗
6x2 6x2 6x22010.06%≈ 1 in every 1,796.31View matches ↗
2x6 6x4 6x12000.06%≈ 1 in every 1,805.3View matches ↗
6x3 6x4 6x32000.06%≈ 1 in every 1,805.3View matches ↗
6x4 6x3 6x31980.05%≈ 1 in every 1,823.53View matches ↗
6x3 6x3 6x31970.05%≈ 1 in every 1,832.79View matches ↗
1x6 6x3 6x21960.05%≈ 1 in every 1,842.14View matches ↗
5x7 6x2 6x31960.05%≈ 1 in every 1,842.14View matches ↗
6x3 5x7 6x21940.05%≈ 1 in every 1,861.13View matches ↗
6x1 4x6 6x21930.05%≈ 1 in every 1,870.77View matches ↗
6x2 3x6 7x51930.05%≈ 1 in every 1,870.77View matches ↗
6x4 6x2 6x21930.05%≈ 1 in every 1,870.77View matches ↗
6x7 6x4 6x11930.05%≈ 1 in every 1,870.77View matches ↗
2x6 7x6 6x31920.05%≈ 1 in every 1,880.52View matches ↗
6x1 3x6 6x21920.05%≈ 1 in every 1,880.52View matches ↗
7x6 4x6 6x11920.05%≈ 1 in every 1,880.52View matches ↗
6x2 6x3 6x21900.05%≈ 1 in every 1,900.31View matches ↗
4x6 7x6 6x11890.05%≈ 1 in every 1,910.37View matches ↗
6x4 1x6 6x41890.05%≈ 1 in every 1,910.37View matches ↗
7x6 6x7 7x61890.05%≈ 1 in every 1,910.37View matches ↗
7x6 2x6 6x41880.05%≈ 1 in every 1,920.53View matches ↗
2x6 6x2 6x21870.05%≈ 1 in every 1,930.8View matches ↗
6x1 6x7 6x31870.05%≈ 1 in every 1,930.8View matches ↗
2x6 7x5 6x31840.05%≈ 1 in every 1,962.28View matches ↗
6x1 3x6 6x41840.05%≈ 1 in every 1,962.28View matches ↗
6x2 5x7 6x41840.05%≈ 1 in every 1,962.28View matches ↗
4x6 6x2 7x51830.05%1 in every 1,973View matches ↗
6x7 6x3 6x11830.05%1 in every 1,973View matches ↗
4x6 7x6 7x51820.05%≈ 1 in every 1,983.84View matches ↗
4x6 6x1 6x11800.05%≈ 1 in every 2,005.88View matches ↗
4x6 6x3 6x01800.05%≈ 1 in every 2,005.88View matches ↗
6x2 4x6 7x51800.05%≈ 1 in every 2,005.88View 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 →