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

Olympic Beach Volleyball (Volleyball)

Delegation

47 team lists ยท 327 player entries ยท avg team size 7.0

Read this sport as a comparison between raw coincidence and what team size alone predicts. Here, the real rate is -1.5 points below the birthday-paradox baseline.

Real team lists
4.3%
teams with shared birthdays
Why it matters: This is the headline rate, but it should never be read without team size.
Expected from size
5.7%
from avg team size
Why it matters: This is the fair baseline: what same-size random teams would do.
Gap from expected
-1.5 points
real โˆ’ expected
Why it matters: Negative means this sport is quieter than team size alone predicts.
Team lists
47
teams analysed
Why it matters: Small sample: treat the rate as a lead, not a verdict.
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 Beach Volleyball (Volleyball), 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, GER has the highest observed rate, with an average team size of 7.3.

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 (7.2 athletes), so their birthday-match rate naturally rises.

By country

Top 40 countries by team-list count.

CountryTeam listsAvg playersReal
BRA77.40.0%
USA78.614.3%
GER67.316.7%
NED46.30.0%
SUI46.00.0%
ITA36.00.0%
AUS37.70.0%
CAN27.00.0%
RUS26.00.0%
NOR26.50.0%
CZE26.00.0%
AUT16.00.0%
GRE16.00.0%
CHN16.00.0%
JPN16.00.0%
POL16.00.0%
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
Women263.8%6.1%-2.3 points
Men214.8%5.3%-0.5 points

Sample team lists

Largest teams in the dataset.

TeamSeasonPlayersRepeatsExpected chance
GER Beach Volleyball (Volleyball) (2004 Summer) ยท GER2004 Summer817.4%
USA Beach Volleyball (Volleyball) (2020 Summer) ยท USA2020 Summer817.4%
USA Beach Volleyball (Volleyball) (1996 Summer) ยท USA1996 Summer12016.7%
AUS Beach Volleyball (Volleyball) (2000 Summer) ยท AUS2000 Summer909.5%
AUS Beach Volleyball (Volleyball) (2004 Summer) ยท AUS2004 Summer807.4%
BRA Beach Volleyball (Volleyball) (1996 Summer) ยท BRA1996 Summer807.4%
BRA Beach Volleyball (Volleyball) (2008 Summer) ยท BRA2008 Summer807.4%
BRA Beach Volleyball (Volleyball) (2012 Summer) ยท BRA2012 Summer807.4%
GER Beach Volleyball (Volleyball) (2000 Summer) ยท GER2000 Summer807.4%
USA Beach Volleyball (Volleyball) (2000 Summer) ยท USA2000 Summer807.4%
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.