A mini-review of mathematical methods in sprint performance Article Swipe
Yuzhou Fan
,
Yuzhou Fan
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fspor.2025.1696505
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fspor.2025.1696505
Mathematics has established itself as a core analytical tool in sprint performance research within sports science, offering quantitative insights that inform coaching strategies, training methodologies, and athlete development. This mini-review examines eight highly-cited publications by Peter Wey and and colleagues, whose work has significantly advanced understanding of sprint biomechanics through the integration of mathematical and biomechanical modeling approaches. This review analyzes diverse methodological applications, ranging from regression models for predicting athletic potential to differential equations for kinetic and kinematic analysis of sprint mechanics. Critical evaluation of these seminal studies demonstrates how mathematical approaches provide objective frameworks for performance analysis, enhance predictive capabilities, and offer mechanistic insight into sprint performance determinants. Then findings underscore the fundamental role of mathematical methods in advancing spring performance research and highlight opportunities for further methodological development in sports science applications.
Related Topics
Concepts
Sprint
Coaching
Computer science
Mathematical model
Work (physics)
Kinematics
Sports biomechanics
Management science
Motion study
Alpine skiing
Biomechanics
Predictive modelling
Data science
Mathematical statistics
Regression analysis
Operations research
Industrial engineering
Differential (mechanical device)
Engineering
Athletes
Sports science
Core (optical fiber)
Elite athletes
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fspor.2025.1696505
- https://public-pages-files-2025.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2025.1696505/pdf
- OA Status
- gold
- References
- 46
- OpenAlex ID
- https://openalex.org/W7104510649
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7104510649Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fspor.2025.1696505Digital Object Identifier
- Title
-
A mini-review of mathematical methods in sprint performanceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-10Full publication date if available
- Authors
-
Yuzhou Fan, Yuzhou FanList of authors in order
- Landing page
-
https://doi.org/10.3389/fspor.2025.1696505Publisher landing page
- PDF URL
-
https://public-pages-files-2025.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2025.1696505/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://public-pages-files-2025.frontiersin.org/journals/sports-and-active-living/articles/10.3389/fspor.2025.1696505/pdfDirect OA link when available
- Concepts
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Sprint, Coaching, Computer science, Mathematical model, Work (physics), Kinematics, Sports biomechanics, Management science, Motion study, Alpine skiing, Biomechanics, Predictive modelling, Data science, Mathematical statistics, Regression analysis, Operations research, Industrial engineering, Differential (mechanical device), Engineering, Athletes, Sports science, Core (optical fiber), Elite athletesTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
46Number of works referenced by this work
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| abstract_inverted_index.Then | 110 |
| abstract_inverted_index.This | 28, 58 |
| abstract_inverted_index.core | 6 |
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| abstract_inverted_index.into | 106 |
| abstract_inverted_index.role | 115 |
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| abstract_inverted_index.tool | 8 |
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| abstract_inverted_index.Peter | 35 |
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| abstract_inverted_index.whose | 40 |
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| abstract_inverted_index.itself | 3 |
| abstract_inverted_index.models | 67 |
| abstract_inverted_index.review | 59 |
| abstract_inverted_index.sports | 14, 132 |
| abstract_inverted_index.spring | 121 |
| abstract_inverted_index.sprint | 10, 47, 81, 107 |
| abstract_inverted_index.within | 13 |
| abstract_inverted_index.athlete | 26 |
| abstract_inverted_index.diverse | 61 |
| abstract_inverted_index.enhance | 99 |
| abstract_inverted_index.further | 128 |
| abstract_inverted_index.insight | 105 |
| abstract_inverted_index.kinetic | 76 |
| abstract_inverted_index.methods | 118 |
| abstract_inverted_index.provide | 93 |
| abstract_inverted_index.ranging | 64 |
| abstract_inverted_index.science | 133 |
| abstract_inverted_index.seminal | 87 |
| abstract_inverted_index.studies | 88 |
| abstract_inverted_index.through | 49 |
| abstract_inverted_index.Critical | 83 |
| abstract_inverted_index.advanced | 44 |
| abstract_inverted_index.analysis | 79 |
| abstract_inverted_index.analyzes | 60 |
| abstract_inverted_index.athletic | 70 |
| abstract_inverted_index.coaching | 21 |
| abstract_inverted_index.examines | 30 |
| abstract_inverted_index.findings | 111 |
| abstract_inverted_index.insights | 18 |
| abstract_inverted_index.modeling | 56 |
| abstract_inverted_index.offering | 16 |
| abstract_inverted_index.research | 12, 123 |
| abstract_inverted_index.science, | 15 |
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| abstract_inverted_index.advancing | 120 |
| abstract_inverted_index.analysis, | 98 |
| abstract_inverted_index.equations | 74 |
| abstract_inverted_index.highlight | 125 |
| abstract_inverted_index.kinematic | 78 |
| abstract_inverted_index.objective | 94 |
| abstract_inverted_index.potential | 71 |
| abstract_inverted_index.analytical | 7 |
| abstract_inverted_index.approaches | 92 |
| abstract_inverted_index.evaluation | 84 |
| abstract_inverted_index.frameworks | 95 |
| abstract_inverted_index.mechanics. | 82 |
| abstract_inverted_index.predicting | 69 |
| abstract_inverted_index.predictive | 100 |
| abstract_inverted_index.regression | 66 |
| abstract_inverted_index.underscore | 112 |
| abstract_inverted_index.Mathematics | 0 |
| abstract_inverted_index.approaches. | 57 |
| abstract_inverted_index.colleagues, | 39 |
| abstract_inverted_index.development | 130 |
| abstract_inverted_index.established | 2 |
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| abstract_inverted_index.mechanistic | 104 |
| abstract_inverted_index.mini-review | 29 |
| abstract_inverted_index.performance | 11, 97, 108, 122 |
| abstract_inverted_index.strategies, | 22 |
| abstract_inverted_index.biomechanics | 48 |
| abstract_inverted_index.demonstrates | 89 |
| abstract_inverted_index.development. | 27 |
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| abstract_inverted_index.publications | 33 |
| abstract_inverted_index.quantitative | 17 |
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| abstract_inverted_index.applications. | 134 |
| abstract_inverted_index.biomechanical | 55 |
| abstract_inverted_index.capabilities, | 101 |
| abstract_inverted_index.determinants. | 109 |
| abstract_inverted_index.opportunities | 126 |
| abstract_inverted_index.significantly | 43 |
| abstract_inverted_index.understanding | 45 |
| abstract_inverted_index.methodological | 62, 129 |
| abstract_inverted_index.methodologies, | 24 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.7957077 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |