🎂 Birthday Paradox · Sports
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Cricket

Squad

6,504 team lists · 89,330 player entries · avg team size 13.7

Read this sport as a comparison between raw coincidence and what team size alone predicts. Here, the real rate is +3.0 points above the birthday-paradox baseline.

Real team lists
25.3%
teams with shared birthdays
Why it matters: This is the headline rate, but it should never be read without team size.
Expected from size
22.3%
from avg team size
Why it matters: This is the fair baseline: what same-size random teams would do.
Gap from expected
+3.0 points
real − expected
Why it matters: Positive means the sport has more birthday matches than size alone predicts.
Team lists
6,504
teams analysed
Why it matters: Enough team lists for a useful sport-level read.
What to notice: The best question on a sport page is not "is the real rate high?" but "is it high after accounting for team size?" That is what the gap card is answering.

Country comparison

Countries with the most team lists for Cricket, charted by the share of teams with at least one shared birthday.

What to compare: This view is best for spotting sample-shape differences inside a sport. Among the highest-sample countries, WEST IND has the highest observed rate, with an average team size of 14.4.

Gender split inside this sport

Real and expected rates for labelled team lists in this sport.

Why it matters: The gender gap is mostly a team-size story. Men have the larger average team size here (14.3 athletes), so their birthday-match rate naturally rises.

By country

Top 40 countries by team-list count.

CountryTeam listsAvg playersReal
INDIA31114.330.5%
PAKISTAN30313.717.2%
AUSTRALI30113.717.9%
SRI LANK30014.126.3%
ENGLAND29613.89.8%
SOUTH AF28314.229.7%
NEW ZEAL28113.723.8%
WEST IND26214.437.0%
BANGLADE23913.222.2%
ZIMBABWE17312.94.6%
IRELAND15612.014.7%
NETHERLA10111.421.8%
SCOTLAND9911.57.1%
UNITED A9810.18.2%
NEPAL8310.836.1%
NAMIBIA7410.725.7%
MALAYSIA709.017.1%
KENYA6311.220.6%
PAPUA NE6210.29.7%
CANADA5510.730.9%
HONG KON5411.127.8%
UNITED S5210.811.5%
UGANDA508.530.0%
OMAN4911.42.0%
THAILAND349.00.0%
GERMANY287.814.3%
SINGAPOR258.90.0%
BERMUDA259.90.0%
JERSEY2410.30.0%
DENMARK2210.54.5%
KUWAIT196.80.0%
NIGERIA189.211.1%
GUERNSEY179.429.4%
VANUATU1610.10.0%
QATAR168.793.8%
ITALY1610.46.3%
GHANA139.430.8%
BOTSWANA128.633.3%
TANZANIA128.20.0%
CAYMAN I107.00.0%
What to notice: Countries with larger average teams will naturally show more shared birthdays. The country list is most useful for finding which samples are driving this sport's overall rate.

By gender

Where the dataset records it.

GenderTeam listsRealExpectedGap
Women1,29122.7%16.0%+6.7 points
Men5,21326.0%23.9%+2.1 points

Sample team lists

Largest teams in the dataset.

TeamSeasonPlayersRepeatsExpected chance
Pakistan — Australia tour of United Arab Emirates 2018/19 · PAKISTAN2018/1931173.0%
Sri Lanka — India tour of Sri Lanka 2017 · SRI LANK201729168.1%
South Africa — Pakistan tour of South Africa 2018/19 · SOUTH AF2018/1929268.1%
India — India tour of Australia 2020/21 · INDIA2020/2129268.1%
Brisbane Heat — Big Bash League 2021/222021/2229268.1%
West Indies — West Indies tour of Australia 2023/24 · WEST IND2023/2429168.1%
Sri Lanka — Bangladesh tour of Sri Lanka 2025 · SRI LANK202528265.4%
Sri Lanka — England tour of Sri Lanka 2018/19 · SRI LANK2018/1927262.7%
India — India tour of Australia 2018/19 · INDIA2018/1927262.7%
Australia — Australia tour of United Arab Emirates 2018/19 · AUSTRALI2018/1927262.7%
What to notice: The sample team lists show the mechanics: once the player count gets large, the expected chance climbs quickly, and each repeat is another player landing on a date already present.