Notational analysis and new technologies have allowed a better understanding of tactical actions in tennis. In particular, the combined analysis of different variables affecting performance is necessary to understand the relationships between actions in competition. The aim of this research was to analyse the probability of winning a point in men’s professional tennis based on the most relevant variables affecting performance in this sport. A total of 4,669 points were analysed on three different court surfaces from the final rounds (from the quarter-finals onwards) of three of the four Grand Slam tournaments in the 2021 season. An observational methodology was applied. Different analysis techniques were used to obtain the results: descriptive and chi-square with a significance level of p<0.05. First serve effectiveness (point won) was 69% on clay, 75% on grass and 75% on hard court. Second serve effectiveness (point won) was around 55% regardless of the surface. The majority of points, between 65% and 77% depending on the court surface, ended with a short rally (between one and four shots). Approximately 80% of the points played with first serve and short rally were won by the serving player. With first serve and medium length rallies, the probability of winning the point is similar between server (range 49–55%) and receiver on any court surface. The study reveals a set of patterns (based on the combination of information from the variables analysed) that determine the probability of winning a point. Descriptive data from this research could help coaches and players on match strategy at the highest levels of elite men’s single tennis.

(1) Background: Performance indicators in tennis such as service effectiveness, rally length or final shots are key factors in determining the winner of the match, although there is little research in the female category. The purpose of this research is to understand the game model in female tennis based on the type of surface. (2) Methods: A total of 2759 points were analyzed from three Grand Slam tournaments from 2019 on three different surfaces. We used observational methodology. (3) Results: The effectiveness of the first service was 62.4% on clay, 64.2% on grass and 67.5% on hard court. With the second service, effectiveness reduced in 5.5%, 11.2% and 14.5% from the first service, respectively. The service direction determines the efficiency and duration of the rally. The highest efficiency occurs with first serves to the T zone or wide zone (regardless of the service side) in short rallies (from 64.9% on clay to 86.3% on hard court). Serving to the centre reduces the chances of success (between 53.1% and 69.9%) and increases the rally length. Between 64.8% (clay) and 75.9% (hard court) of points played on first serve ended in a short rally, while on second serve it was 56.2% (clay) to 61.7% (grass). (4) Conclusions: The data of the effectiveness of the sequences of specific plays can help in the trainings of professional female tennis players.

Background: Injuries in professional football lead to reduced team performance and large financial losses. The aim of this study was to analyse injuries in the two best team competitions in the world (LaLiga and Premier League), establishing similarities and differences, as well as determining injury causation patterns. Methods: A total of 277 on-field injuries requiring a substitution were analysed (142 in the Spanish league and 135 in the English league). The analysis was performed using traditional statistical tests (frequency analysis, chi-square test) with SPSS 25 and a T-Patterns sequence analysis with THEME 5.0. Results: In the Spanish league, there were a similar number of injuries in the first part of the season as in the second part of the season, while in the English league, they are more frequent in the first part of the season. In the Spanish league, injuries are more frequent in the first half of the match, while in the English league, they are more frequent in the second half. The type of player most frequently injured was the defender. Most of the injuries occurred without the presence of an opponent. The accumulated minutes during the season affect injuries of the muscular type. Conclusions: The most common type of injury in both leagues was a strain, followed by a sprain and a contusion. Although common injury patterns can be established between the two leagues, there are notable differences. One of the factors is determined by the English league calendar (many matches at Christmas). In Spain, there were more muscular injuries that were not caused by the opponent, while in England there were more tackling injuries. Age is a risk factor in the Spanish league. In this league, there is a moderately significant relationship between the number of injuries and the points won.

(1) Background: the penalty kick is an action in football that decides many matches. The aim of this research was to establish the success rate of penalty kicks in Spain between the seasons 2012/2013 and 2019/2020 considering different key performance variables. (2) Methods: A total of 941 penalty kicks were analysed from eight seasons of the first division of the Spanish men’s football league (La Liga). An observational methodology was used and, in order to obtain the results, different analytical techniques were employed: descriptive and chi square with a significance level of p < 0.05. (3) Results: The effectiveness of penalty kicks was 76.7%. Most of the penalties were taken by the home team (60.9%), with a tie on the scoreboard (44.2%) and within the last 30 min of the match (41.9%). The highest success rate was observed for balls kicked to the upper side of the goal (100%), even though the highest number of penalties were taken low, to one of the two sides of the goal (57.0%). Up to 5.6% of the penalties were not kicked inside the goal. (4) Conclusions: Effectiveness does not depend on home–visitor status, player laterality, score or remaining match time, studied independently. A loss of effectiveness is observed when the match scores of both teams are close and in critical moments of the match.

Background: The objective of this research was to analyse the effectiveness and search for successful patterns in ball screens in the men’s 2019 Basketball World Cup. Methods: The sample consisted of 515 ball screens obtained in critical moments. LINCE software was used as a registration instrument by means of an observational instrument designed ad hoc. A descriptive analysis and chi-square tests (χ2) were performed with SPSS 25.0 and a T-patterns analysis with Theme 5 software. Results: The results indicate that the criteria that have the most influence on this type of action are the result of the team executing the screen (winning, losing or tying), the type of offense and the defence used on the ball screen. The most representative patterns of success tend to take place between 9–16 s of possession, with the screeners being inside players and the screened players being outside players, and it is performed in the upper areas of the court against an individual type of defence and ending with the screened player advancing towards the basket or passing to an open teammate. Conclusions: The data obtained will enable the coaching staff to train ball screens in accordance with specific game situations.

Background: Pickleball is an exponentially growing sport with a lack of notation-based studies. Consequently, this research aimed to conduct a match analysis in men’s singles to enhance the understanding of the game and optimize training practices. Methods: Using observational methodology, a total of 1145 points were analyzed from the semifinal and final rounds of five Professional Pickleball Association Tour tournaments. Data were recorded with LINCE PLUS V.2.1.0 software using the OI-PICKLEBALL-S23 observational instrument. Descriptive statistical analyses were conducted with IBM-SPSS version 25.0, and gameplay patterns were detected using Theme 6.0 Edu. Statistical significance was set at p < 0.05. Results: The data indicated that service faults at the start of the game were minimal (2.4%). The server won fewer points than the returner in the overall set of analyzed points (46.6%). Most points were concluded in short rallies (1–4 shots; 43%) or medium-length rallies (5–8 shots; 44%), with the final shot predominantly occurring from striking zone 2, the area closest to the non-volley line (50.7%). Ground strokes (55.1%) and volleys (38.4%) were the most common final shots. Conclusions: The insights gained from this study can benefit high-performance players and coaches and provide a foundation for future notation-based research in pickleball.