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Sports Analytics and Performance

Sports Analytics and Performance is a research topic within Economics and Econometrics. Science Explorer counts 24k research works in it since 1950. 22.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the economics of professional sports, including topics such as prediction markets, competitive balance, referee bias, home advantage, superstar effects, labor market dynamics, the gambler’s fallacy, revenue sharing, and market efficiency in the context of sporting contests.

  • Prediction Markets
  • Competitive Balance
  • Referee Bias
  • Home Advantage
  • Superstar Effects
  • Labor Market
  • Gambler’s Fallacy
  • Sporting Contests
  • Revenue Sharing
  • Market Efficiency
Research works
24k
fractional, since 1950
In the world top 10%
5.4k
per year above
Top-10% rate
22.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+22%
the tick is no change

Which countries lead Sports Analytics and Performance research?

By volume, the United States and China publish the most (984 and 604 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 984 works
  2. 2 China 604 works
  3. 3 United Kingdom 349 works
  4. 4 India 307 works
  5. 5 Germany 276 works
  6. 6 Türkiye 203 works
  7. 7 Spain 201 works
  8. 8 Brazil 150 works
  9. 9 Australia 149 works
  10. 10 Canada 144 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 29.2%China: 17.9%United Kingdom: 10.4%India: 9.1%6 others listed: 33.4%29%largest
United States984 · 29.2%China604 · 17.9%United Kingdom349 · 10.4%India307 · 9.1%6 others listed1,124 · 33.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Sports Analytics and Performance research?

By volume in 2022–2025, German Sport University Cologne publishes the most Sports Analytics and Performance research, followed by Beijing Sport University and Loughborough University.

By volume, 2022–2025

  1. 1 German Sport University Cologne Germany 44 works
  2. 2 Beijing Sport University China 19 works
  3. 3 Loughborough University United Kingdom 16 works
  4. 4 University of Michigan United States 15 works
  5. 5 Shanghai University of Sport China 14 works
  6. 6 University of Münster Germany 13 works
  7. 7 Syracuse University United States 13 works
  8. 8 Technical University of Munich Germany 12 works
  9. 9 New York University United States 12 works
  10. 10 University of Waterloo Canada 12 works

Who are the leading researchers in Sports Analytics and Performance?

The most-cited researchers publishing on Sports Analytics and Performance include H. Eugene Stanley.

  1. 1 H. Eugene Stanley 5.5k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Sports Analytics and Performance research done?

The largest centres of Sports Analytics and Performance research in 2022–2025 are Beijing (China), London (United Kingdom), Tokyo (Japan) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Cologne.

Largest cities, 2022–2025

  1. 1 Beijing China 108 works
  2. 2 London United Kingdom 65 works
  3. 3 Tokyo Japan 58 works
  4. 4 Shanghai China 55 works
  5. 5 Cologne Germany 46 works
  6. 6 New York United States 42 works
  7. 7 Melbourne Australia 42 works
  8. 8 Madrid Spain 38 works
  9. 9 Istanbul Türkiye 37 works
  10. 10 Seoul South Korea 37 works

Where it is the local speciality

  1. CologneDE · 46.3 works8.3×
← less than its size predictsmore →

Location quotient: how much more of its research is in Sports Analytics and Performance than the world average.

See Sports Analytics and Performance on the map

Where is the best place to study Sports Analytics and Performance?

Among universities, judged by research, Manchester Metropolitan University, German Sport University Cologne and Loughborough University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%25%50%75%mean 41.57%fractional works in this node (log) →share in the world top 10% →Manchester Metropolitan University: 11, 63.7%German Sport University Cologne: 44, 31.3%Loughborough University: 16, 35.9%Corvinus University of Budapest: 11, 51.8%Universidad Politécnica de Madrid: 11, 50.6%Sheffield Hallam University: 8, 50.5%University of Lausanne: 12, 30.8%Leeds Beckett University: 10, 36.1%Beijing Sport University: 19, 29.1%University of Münster: 13, 35.9%Manchester Metropoli…Corvinus University …Loughborough Univers…German Sport Univers…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Manchester Metropolitan University United Kingdom 81.863.7%13.0×11 +387.8%
2German Sport University Cologne Germany 71.231.3%151.6×44 +66.0%
3Loughborough University United Kingdom 64.235.9%13.6×16 +48.9%
4Corvinus University of Budapest Hungary 63.451.8%23.4×11 +52.4%
5Universidad Politécnica de Madrid Spain 58.250.6%7.1×11 +63.7%
6Sheffield Hallam University United Kingdom 56.850.5%16.2×8 -2.8%
7University of Lausanne Switzerland 56.630.8%6.7×12 +163.3%
8Leeds Beckett University United Kingdom 55.436.1%25.4×10 +33.1%
9Beijing Sport University China 51.529.1%54.1×19 -89.4%
10University of Münster Germany 51.535.9%7.8×13 +30.5%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Sports Analytics and Performance research growing?

Output in 2018–2022 was 22% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Sports Analytics and Performance.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.