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

Olympic Short Track Speed Skating (Skating)

Delegation

100 team lists ยท 774 player entries ยท avg team size 7.7

Read this sport as a comparison between raw coincidence and what team size alone predicts. Here, the real rate is +0.6 points above the birthday-paradox baseline.

Real team lists
8.0%
teams with shared birthdays
Why it matters: This is the headline rate, but it should never be read without team size.
Expected from size
7.4%
from avg team size
Why it matters: This is the fair baseline: what same-size random teams would do.
Gap from expected
+0.6 points
real โˆ’ expected
Why it matters: Positive means the sport has more birthday matches than size alone predicts.
Team lists
100
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 Short Track Speed Skating (Skating), 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, KOR has the highest observed rate, with an average team size of 9.0.

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

By country

Top 40 countries by team-list count.

CountryTeam listsAvg playersReal
JPN108.20.0%
ITA109.00.0%
KOR99.022.2%
CAN99.722.2%
CHN98.611.1%
USA88.512.5%
NED76.714.3%
GBR65.30.0%
AUS56.00.0%
HUN57.40.0%
FRA47.30.0%
GER46.80.0%
KAZ35.30.0%
RUS36.70.0%
ROC28.00.0%
BEL16.00.0%
BUL17.0100.0%
EUN16.00.0%
NOR15.00.0%
POL16.00.0%
PRK15.00.0%
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
Women718.5%7.4%+1.1 points
Men296.9%7.3%-0.4 points

Sample team lists

Largest teams in the dataset.

TeamSeasonPlayersRepeatsExpected chance
KOR Short Track Speed Skating (Skating) (2006 Winter) ยท KOR2006 Winter10211.7%
USA Short Track Speed Skating (Skating) (2010 Winter) ยท USA2010 Winter10111.7%
KOR Short Track Speed Skating (Skating) (2022 Winter) ยท KOR2022 Winter10111.7%
CHN Short Track Speed Skating (Skating) (2018 Winter) ยท CHN2018 Winter10111.7%
CAN Short Track Speed Skating (Skating) (1994 Winter) ยท CAN1994 Winter919.5%
CAN Short Track Speed Skating (Skating) (1992 Winter) ยท CAN1992 Winter919.5%
BUL Short Track Speed Skating (Skating) (2002 Winter) ยท BUL2002 Winter715.6%
NED Short Track Speed Skating (Skating) (1998 Winter) ยท NED1998 Winter512.7%
USA Short Track Speed Skating (Skating) (1998 Winter) ยท USA1998 Winter11014.1%
JPN Short Track Speed Skating (Skating) (1998 Winter) ยท JPN1998 Winter11014.1%
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.