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

Olympic Sailing

Delegation

529 team lists ยท 5,466 player entries ยท avg team size 10.3

Read this sport as a comparison between raw coincidence and what team size alone predicts. Here, the real rate is +3.9 points above the birthday-paradox baseline.

Real team lists
17.6%
teams with shared birthdays
Why it matters: This is the headline rate, but it should never be read without team size.
Expected from size
13.6%
from avg team size
Why it matters: This is the fair baseline: what same-size random teams would do.
Gap from expected
+3.9 points
real โˆ’ expected
Why it matters: Positive means the sport has more birthday matches than size alone predicts.
Team lists
529
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 Sailing, 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, USA has the highest observed rate, with an average team size of 14.5.

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

By country

Top 40 countries by team-list count.

CountryTeam listsAvg playersReal
SWE2513.224.0%
NOR2411.416.7%
GBR2314.030.4%
FRA2113.719.0%
NED219.623.8%
ITA2112.647.6%
USA2114.552.4%
DEN2010.20.0%
SUI198.210.5%
CAN1911.515.8%
ARG189.65.6%
FIN189.45.6%
BRA1810.622.2%
AUS1713.117.6%
ESP1612.431.3%
GER1412.60.0%
POR147.77.1%
AUT148.328.6%
GRE149.20.0%
JPN139.523.1%
NZL1311.615.4%
IRL106.920.0%
POL109.210.0%
URS911.722.2%
ISR95.80.0%
HUN96.822.2%
RUS710.014.3%
TUR65.80.0%
CHN69.50.0%
ISV57.220.0%
BAH58.00.0%
FRG512.620.0%
GDR59.420.0%
BER56.820.0%
PUR46.50.0%
UKR49.80.0%
SLO45.825.0%
MEX48.825.0%
BEL48.325.0%
CRO310.00.0%
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
Women16722.2%16.9%+5.3 points
Men36215.5%12.2%+3.3 points

Sample team lists

Largest teams in the dataset.

TeamSeasonPlayersRepeatsExpected chance
NOR Sailing (1920 Summer) ยท NOR1920 Summer59399.3%
SWE Sailing (1912 Summer) ยท SWE1912 Summer41290.3%
GBR Sailing (1908 Summer) ยท GBR1908 Summer35181.4%
FIN Sailing (1912 Summer) ยท FIN1912 Summer27362.7%
USA Sailing (1932 Summer) ยท USA1932 Summer21144.4%
USA Sailing (2000 Summer) ยท USA2000 Summer18234.7%
USA Sailing (2004 Summer) ยท USA2004 Summer18134.7%
ITA Sailing (2000 Summer) ยท ITA2000 Summer18134.7%
ITA Sailing (2004 Summer) ยท ITA2004 Summer18134.7%
ESP Sailing (2004 Summer) ยท ESP2004 Summer18134.7%
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.