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Mixed doubles is the best of both worlds that combine the strengths of both men and women into a thrilling battle of power, speed, finesse, and wits. It’s a completely different game than any of the other disciplines, including women’s and men’s doubles. Players must work creatively to cover each other’s weaknesses and play to their strengths. In this post, we’ve gathered data for mixed doubles pairs but have also categorized the data into subsets of just women and just men to see if there is any difference.
Statistically, the prime age for mixed doubles players is around 25 years old. Women in mixed doubles perform very well between the ages of 23 and 28, with 27 being the most successful. Men in mixed doubles also perform the best from ages 23 and 28, but have seen the best results at age 26.
Prime Age for Men’s Singles | Link |
Prime Age for Women’s Singles | Link |
Prime Age for Men’s Doubles | Link |
Prime Age for Women’s Doubles | Link |
Prime Age for Mixed Doubles | Link |
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To get these results, we collected the ages of all the mixed doubles badminton players that won gold medals at the Yonex All England, World Championships, and Olympic Games from 2000 to 2021. The ages that were used to calculate the results represent the ages at which the players won the tournaments. You can see all of the data visualized and organized in tables below.
The above graph shows the number of gold medals won and the age of the women in the mixed doubles pairings. As we can see, women performed very well from ages 23 to 28. Interestingly, there was a steep dip at the age of 26, but I believe that this would not be the case if we took a larger sample size. Also of note is the spread of the results is smaller than those of the Prime Age for Women’s Singles Players and Women’s Doubles Players. It seems that women in mixed doubles have stronger results in their late 20s but also have a lower range of ages that have won gold medals.
For example, women in mixed doubles have shown that they do very well at the age of 28 while results are rare for women’s singles and doubles players at age 28. However, the range of results for mixed doubles are from age 20 to 32 while women’s singles results are from age 18 to 33 and women’s doubles results are from 19 to 34. Both the minimum and maximum are lower and higher respectively for women’s singles and doubles.
From the graph above, you can see that men perform pretty well from ages 22 to 28. Once again, we see another strange dip in results, but this time at age 27. A larger sample size would likely help smooth out the curve. The analysis of men in mixed doubles is similar to the analysis above for women in mixed doubles. The results are much more level and dense from ages 22 to 28 than they are in men’s doubles and men’s singles. And we see again that the range of ages is a bit smaller in mixed – which is from ages 20 to 32. While the ranges are from 20 to 34 and 19 to 36 in men’s singles and men’s doubles respectively.
Overall, the results show that mixed doubles pairs perform very well throughout their 20s. There are no results documented for players under 20 and over 32.
What is interesting about the mixed doubles results is that women in their late 20s perform better than their counterparts in women’s doubles. Furthermore, mixed doubles results for men in their 30s are virtually nonexistent but are still pretty common in men’s doubles.
A guess as to why this is the case may be because of the formation that professional mixed doubles players use. Women tend to play the front court while men tend to play the back court during their offensive play. While the front court is extremely difficult to play well, it is not as physically demanding as doing powerful jump smashes from the back of the court continuously.
Therefore, the front of the court relies more on experience, control, and finesse while the back of the court relies on endurance, power, and agility. This may explain why there are more results in mixed doubles for women who are in their late 20s and for men in their early to mid 20s but not so much in women’s and men’s doubles respectively. Playing very well at the net relies less on stamina and more on experience while playing well at the backcourt relies more on sheer power and endurance which comes with youth.
Of course, this is just a theory into why the results come out the way they do and there are likely many factors at play here. A larger sample size would most certainly bring in more accurate results. But who knows, the future can always surprise us.
If you’re interested in seeing all of the data used to make this analysis, we’ve listed out all the data below.
Here’s all of the major statistics summarized:
Average | 25.5 |
Median | 25.5 |
Minimum | 20 |
Maximum | 32 |
Count | 82 |
Standard Deviation | 2.8 |
Just men:
Average | 25.3 |
Median | 25.5 |
Minimum | 20 |
Maximum | 32 |
Count | 41 |
Standard Deviation | 2.8 |
Just women:
Average | 25.8 |
Median | 25.5 |
Minimum | 20 |
Maximum | 32 |
Count | 41 |
Standard Deviation | 2.7 |
All England Results
Year | Winner | Age |
2000 | Kim Dong Moon | 24.5 |
2000 | Ra Kyung Min | 23.5 |
2001 | Zhang Jun | 23.5 |
2001 | Gao Ling | 22 |
2002 | Kim Dong Moon | 26.5 |
2002 | Ra Kyung Min | 25.5 |
2003 | Zhang Jun | 25.5 |
2003 | Gao Ling | 24 |
2004 | Kim Dong Moon | 28.5 |
2004 | Ra Kyung Min | 27.5 |
2005 | Nathan Robertson | 28 |
2005 | Gail Emms | 28 |
2006 | Zhang Jun | 28.5 |
2006 | Gao Ling | 27 |
2007 | Zheng Bo | 23.5 |
2007 | Gao Ling | 28 |
2008 | Zheng Bo | 24.5 |
2008 | Gao Ling | 29 |
2009 | He Hanbin | 23 |
2009 | Yu Yang | 23 |
2010 | Zhang Nan | 20 |
2010 | Zhao Yunlei | 23.5 |
2011 | Xu Chen | 26.5 |
2011 | Ma Jin | 23 |
2012 | Tontowi Ahmad | 24.5 |
2012 | Liliyana Natsir | 26.5 |
2013 | Tontowi Ahmad | 25.5 |
2013 | Liliyana Natsir | 27.5 |
2014 | Tontowi Ahmad | 26.5 |
2014 | Liliyana Natsir | 28.5 |
2015 | Zhang Nan | 25 |
2015 | Zhao Yunlei | 28.5 |
2016 | Praveen Jordan | 23 |
2016 | Debby Susanto | 27 |
2017 | Lu Kai | 25.5 |
2017 | Huang Yaqiong | 23 |
2018 | Yuta Watanabe | 21 |
2018 | Arisa Higashino | 21.5 |
2019 | Zheng Siwei | 22 |
2019 | Huang Yaqiong | 25 |
2020 | Praveen Jordan | 27 |
2020 | Melati Daeva Oktavianti | 25.5 |
2021 | Yuta Watanabe | 24 |
2021 | Arisa Higashino | 24.5 |
Overall:
Average | 27.5 |
Median | 25.3 |
Minimum | 20 |
Maximum | 29 |
Count | 44 |
Standard Deviation | 2.3 |
Just men:
Average | 24.8 |
Median | 24.8 |
Minimum | 20 |
Maximum | 28.5 |
Count | 22 |
Standard Deviation | 2.2 |
Just women:
Average | 25.5 |
Median | 25.5 |
Minimum | 21.5 |
Maximum | 29 |
Count | 22 |
Standard Deviation | 2.3 |
World Championships and Olympic Games Results
Years 2000, 2004, 2008, 2012, and 2016 are for the Olympic Games.
Year | Winner | Age |
2000 | Zhang Jun | 22.5 |
2000 | Gao Ling | 21.5 |
2001 | Zhang Jun | 23.5 |
2001 | Gao Ling | 24.5 |
2002 | N/A | |
2003 | Kim Dong Moon | 28 |
2003 | Ra Kyung Min | 27 |
2004 | Zhang Jun | 26.5 |
2004 | Gao Ling | 27.5 |
2005 | Nova Widianto | 28 |
2005 | Lilyana Natsir | 20 |
2006 | Nathan Robertson | 29 |
2006 | Gail Emms | 29 |
2007 | Nova Widianto | 30 |
2007 | Lilyana Natsir | 22 |
2008 | Lee Yong Dae | 20 |
2008 | Lee Hyo Jung | 27.5 |
2009 | Thomas Laybourn | 32 |
2009 | Kamilla Rytter Juhl | 25.5 |
2010 | Zheng Bo | 26.5 |
2010 | Ma Jin | 22.5 |
2011 | Zhang Nan | 21.5 |
2011 | Zhao Yunlei | 25 |
2012 | Zhang Nan | 22.5 |
2012 | Zhao Yunlei | 26 |
2013 | Tontowi Ahmad | 26 |
2013 | Lilyana Natsir | 28 |
2014 | Zhang Nan | 24.5 |
2014 | Zhao Yunlei | 28 |
2015 | Zhang Nan | 25.5 |
2015 | Zhao Yunlei | 29 |
2016 | Tontowi Ahmad | 29 |
2016 | Liliyana Natsir | 31 |
2017 | Tontowi Ahmad | 30 |
2017 | Liliyana Natsir | 32 |
2018 | Zheng Siwei | 21.5 |
2018 | Huang Yaqiong | 24.5 |
2019 | Zheng Siwei | 22.5 |
2019 | Huang Yaqiong | 25.5 |
2020 | N/A | |
2021 | Huang Dong Ping | 26 |
2021 | Wang Yi Lyu | 27 |
Overall:
Average | 25.9 |
Median | 26 |
Minimum | 20 |
Maximum | 32 |
Count | 38 |
Standard Deviation | 3.2 |
Just men:
Average | 25.7 |
Median | 26 |
Minimum | 20 |
Maximum | 32 |
Count | 19 |
Standard Deviation | 3.4 |
Just women:
Average | 26.1 |
Median | 26 |
Minimum | 20 |
Maximum | 32 |
Count | 19 |
Standard Deviation | 3.1 |
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