In this contribution, we study whether fatigue resulting from the previous match affects a player's chances of winning his (or her) next match in Grand Slam tennis. We measure relative fatigue levels of two opponents by looking at the difference in number of sets played in their previous match. We develop two approaches to answer this question: the so-called carry-over method and the more common logit model. Both methods differ in the assumptions they make and the type of results they offer. Our results are based on data collected from the 4 Grand Slam tournaments (men and women) from 1992 till 2011, covering 20,320 matches. We find that there is indeed an impact of the relative effort invested in winning a match on the probability of winni...
The potential effect of fatigue on stroke production in tennis players is still controversial. The a...
Purpose: This study builds a stochastic model of a discrete-time Markov chain (DTMC) that fits well ...
Animals winning an agonistic encounter are more likely to win their next encounter while losers are ...
In this contribution, we study whether fatigue resulting from the previous match affects a player's ...
Pollard et al.1 analysed men’s Grand Slam set scores over a ten-year period and found that the score...
The objective of this paper is to use data from the highest level in men's tennis to assess whether ...
The objective of this paper is to use data from the highest level in men's tennis to assess whether ...
Tennis is different from many other sports because the goal is to achieve enough points to win the m...
Background: Tennis is an intermittent sport, characterized by hundreds of repetitive explosive effor...
It is often suggested that there is a psychological advantage to be leading in a competition. It is,...
INTRODUCTION:The aim of the study was to (i) analyze the match performance of professional female te...
Exploring the effects of fatigue on skilled performance in tennis presents a significant challenge t...
<div><p>Introduction</p><p>The aim of the study was to (i) analyze the match performance of professi...
In the probabilistic modelling of sports such as tennis, the assumption is typically made that point...
Animals winning an agonistic encounter are more likely to win their next encounter while losers are ...
The potential effect of fatigue on stroke production in tennis players is still controversial. The a...
Purpose: This study builds a stochastic model of a discrete-time Markov chain (DTMC) that fits well ...
Animals winning an agonistic encounter are more likely to win their next encounter while losers are ...
In this contribution, we study whether fatigue resulting from the previous match affects a player's ...
Pollard et al.1 analysed men’s Grand Slam set scores over a ten-year period and found that the score...
The objective of this paper is to use data from the highest level in men's tennis to assess whether ...
The objective of this paper is to use data from the highest level in men's tennis to assess whether ...
Tennis is different from many other sports because the goal is to achieve enough points to win the m...
Background: Tennis is an intermittent sport, characterized by hundreds of repetitive explosive effor...
It is often suggested that there is a psychological advantage to be leading in a competition. It is,...
INTRODUCTION:The aim of the study was to (i) analyze the match performance of professional female te...
Exploring the effects of fatigue on skilled performance in tennis presents a significant challenge t...
<div><p>Introduction</p><p>The aim of the study was to (i) analyze the match performance of professi...
In the probabilistic modelling of sports such as tennis, the assumption is typically made that point...
Animals winning an agonistic encounter are more likely to win their next encounter while losers are ...
The potential effect of fatigue on stroke production in tennis players is still controversial. The a...
Purpose: This study builds a stochastic model of a discrete-time Markov chain (DTMC) that fits well ...
Animals winning an agonistic encounter are more likely to win their next encounter while losers are ...