Multidimensional Momentum Chain Model for Tennis Matches
Author Information
Author(s): Wang Jingya, Guo Sihang, Zhou Yuanyun
Primary Institution: Harbin Institute of Technology, Shenzhen, Guangdong, China
Hypothesis
Does momentum affect sports psychology and the mechanisms underlying its generation and influence?
Conclusion
The study found that players with higher momentum have better psychological and behavioral performance, leading to a greater likelihood of winning.
Supporting Evidence
- Players with higher momentum have shorter running distances and higher success rates in net strokes.
- The serving side has an 84% chance of winning the match.
- The model achieved a prediction accuracy exceeding 80% when applied to 6,870 tennis matches.
- Positive events significantly enhance players' psychological and behavioral performance.
- Momentum dynamics were quantified using a forgetting curve to modulate fluctuations.
Takeaway
In tennis, when players have a good run of points, they tend to keep winning, and this is called momentum.
Methodology
The study used statistical analysis and a multidimensional momentum chain model based on difference equations to analyze data from tennis matches.
Potential Biases
Potential biases from not controlling for external variables affecting player performance.
Limitations
The study did not account for external factors like weather conditions and court types in detail.
Participant Demographics
Data from men's singles tennis matches at major tournaments from 2011 to 2023.
Statistical Information
P-Value
0.00
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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