๐ŸŽ‚ Birthday Paradox ยท Sports
โ† All sports

Olympic Artistic Swimming (Aquatics)

Team

58 team lists ยท 497 player entries ยท avg team size 8.6

Read this sport as a comparison between raw coincidence and what team size alone predicts. Here, the real rate is +15.5 points above the birthday-paradox baseline.

Real team lists
24.1%
teams with shared birthdays
Why it matters: This is the headline rate, but it should never be read without team size.
Expected from size
8.6%
from avg team size
Why it matters: This is the fair baseline: what same-size random teams would do.
Gap from expected
+15.5 points
real โˆ’ expected
Why it matters: Positive means the sport has more birthday matches than size alone predicts.
Team lists
58
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 Olympic Artistic Swimming (Aquatics), 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, RUS has the highest observed rate, with an average team size of 8.8.

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. Women have the larger average team size here (8.6 athletes), so their birthday-match rate naturally rises.

By country

Top 40 countries by team-list count.

CountryTeam listsAvg playersReal
CHN78.642.9%
JPN78.70.0%
RUS68.850.0%
CAN68.30.0%
AUS58.620.0%
ITA59.020.0%
ESP48.00.0%
EGY48.025.0%
USA49.325.0%
UKR28.050.0%
FRA28.00.0%
GRE28.50.0%
GBR19.00.0%
BRA19.0100.0%
MEX19.0100.0%
ROC18.0100.0%
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
Women5824.1%8.6%+15.5 points

Sample team lists

Largest teams in the dataset.

TeamSeasonPlayersRepeatsExpected chance
USA Artistic Swimming (Aquatics) (1996 Summer) ยท USA1996 Summer10111.7%
ITA Artistic Swimming (Aquatics) (2000 Summer) ยท ITA2000 Summer919.5%
MEX Artistic Swimming (Aquatics) (1996 Summer) ยท MEX1996 Summer919.5%
CHN Artistic Swimming (Aquatics) (2008 Summer) ยท CHN2008 Summer919.5%
AUS Artistic Swimming (Aquatics) (2000 Summer) ยท AUS2000 Summer919.5%
RUS Artistic Swimming (Aquatics) (2008 Summer) ยท RUS2008 Summer919.5%
CHN Artistic Swimming (Aquatics) (2012 Summer) ยท CHN2012 Summer919.5%
BRA Artistic Swimming (Aquatics) (2016 Summer) ยท BRA2016 Summer919.5%
RUS Artistic Swimming (Aquatics) (2016 Summer) ยท RUS2016 Summer919.5%
EGY Artistic Swimming (Aquatics) (2016 Summer) ยท EGY2016 Summer919.5%
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.