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

Olympic Baseball (Baseball/Softball)

Team

49 team lists ยท 1,057 player entries ยท avg team size 21.6

Read this sport as a comparison between raw coincidence and what team size alone predicts. Here, the real rate is -5.7 points below the birthday-paradox baseline.

Real team lists
40.8%
teams with shared birthdays
Why it matters: This is the headline rate, but it should never be read without team size.
Expected from size
46.5%
from avg team size
Why it matters: This is the fair baseline: what same-size random teams would do.
Gap from expected
-5.7 points
real โˆ’ expected
Why it matters: Negative means this sport is quieter than team size alone predicts.
Team lists
49
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 Baseball (Baseball/Softball), 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, CUB has the highest observed rate, with an average team size of 22.4.

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

By country

Top 40 countries by team-list count.

CountryTeam listsAvg playersReal
JPN622.733.3%
CUB522.460.0%
USA522.460.0%
NED519.640.0%
ITA518.620.0%
KOR423.050.0%
TPE322.333.3%
AUS322.766.7%
CAN224.050.0%
DOM221.50.0%
PUR214.50.0%
ISR124.0100.0%
CHN124.0100.0%
ESP120.0100.0%
GRE123.00.0%
MEX124.00.0%
NCA120.00.0%
RSA124.00.0%
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
Men4940.8%46.5%-5.7 points

Sample team lists

Largest teams in the dataset.

TeamSeasonPlayersRepeatsExpected chance
AUS Baseball (Baseball/Softball) (2000 Summer) ยท AUS2000 Summer24153.8%
CUB Baseball (Baseball/Softball) (2000 Summer) ยท CUB2000 Summer24253.8%
ITA Baseball (Baseball/Softball) (2000 Summer) ยท ITA2000 Summer24153.8%
JPN Baseball (Baseball/Softball) (2004 Summer) ยท JPN2004 Summer24153.8%
JPN Baseball (Baseball/Softball) (2000 Summer) ยท JPN2000 Summer24253.8%
KOR Baseball (Baseball/Softball) (2008 Summer) ยท KOR2008 Summer24253.8%
NED Baseball (Baseball/Softball) (2000 Summer) ยท NED2000 Summer24153.8%
NED Baseball (Baseball/Softball) (2004 Summer) ยท NED2004 Summer24253.8%
CAN Baseball (Baseball/Softball) (2008 Summer) ยท CAN2008 Summer24153.8%
CHN Baseball (Baseball/Softball) (2008 Summer) ยท CHN2008 Summer24153.8%
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.