Shoot Types Research Articles

Analyzing professional golf performance and earnings: insights from strokes gained analysis

PurposeIn golf, strokes gained (SG) unify different shot types under a single system, including off the tee (SG: OTT), approach (SG: APP), around the green (SG: ARG) and putting (SG: PUTT). Despite SG having equal value across types, each shot type requires different skills and physical attributes. This paper analyzes how professional golfers leverage these diverse shot types to achieve wins and maximize their earnings.Design/methodology/approachThis paper explores shot type consistency, demonstrating the superior consistency of the long game compared to the short game through regression and correlation analyses. These analyses are conducted season-to-season, tournament-to-tournament and round-to-round using seven seasons of professional golf data. Additionally, we examine the types of shots that contribute to improvements within the field.FindingsThrough analyzing average gains across evenly distributed groups and employing a regression model, we find that SG: APP is the most important type of shot, followed by SG: PUTT, SG: OTT and finally SG: ARG. Additionally, when considering both empirical earnings data and a regression model, we find that SG: PUTT becomes less important. Top players primarily win their earnings through SG: APP, followed by SG: OTT, SG: PUTT and finally SG: ARG shots. Next, we examine where strokes are gained at different levels of earnings and find that SG: APP makes up most of the SG increases across the field, followed by SG: PUTT, then SG: OTT and SG: ARG.Originality/valueIn this paper, we extend previous research by analyzing the entire professional golf association field rather than focusing solely on amateurs or small sections of the professional field; we also conduct our analysis using SG instead of traditional stats.

Statistical Metric xG in Football and Its Impact on Scoring Performance: a review article

Background and purpose Modern football increasingly demands an analytical approach, particularly in terms of enhancing scoring performance. The aim of this article is to analyze the modern statistical indicator of expected goals (xG) in football and its impact on the performance of teams and players according to the data of modern scientific literature. The use of xG allows coaches, analysts, and fans to better evaluate the effectiveness of attacking actions, predict match outcomes, and make informed decisions regarding game strategy. Material and methods Articles were selected using a search tool in the Scopus, Web of Science, and Google Scholar databases. The search was carried out using the keywords "xG", "football", "performance", "football statistics", "football analytics", "shot on goal" The search was conducted as follows: first, the word "football" was entered, 43,706 sources were found, then "football statistics, analytics" was specified, 109 sources were found, among which 5 were selected that most corresponded to the topic of our research. Results It has been found that the probability of converting a shot into a goal depends on the player's position in the finishing zone, the location of the shot, the angle to the goal, the distance to the goal, the part of the body used to take the shot, the preparation for the shot, the number of touches before the shot, the number of players in the ball's path, and the goalkeeper's position. It was also determined that some zones are better suited for preparing a shot or continuing a combination play due to a low xG value. Conclusions The conducted analysis made it possible to study how the metric of expected goals (xG) affects performance. Coaches use xG data to optimize their game plans, focusing on creating high-quality scoring chances rather than simply increasing the number of shots. In addition, xG can inform defensive strategies by highlighting the types of shots most likely to lead to goals, allowing teams to adjust their defensive positioning and pressure tactics accordingly.

An Analysis of Shot Types and Camera Angles in the Feature News "Transforming Scrap Fabric into Artwork" on the TVRI Jawa Barat News Program

"Transforming Scrap Fabric into Artwork" is one of the travel feature news segments aired on the TVRI Jawa Barat program, Jawa Barat Hari Ini (West Java Today). The primary focus of the feature news video is on the objects and locations of the tourist village being covered. The selection of appropriate filming techniques ensures that the information conveyed in the travel feature news is clear and effective for the audience. Therefore, it is essential to choose the right filming techniques to effectively highlight the uniqueness and inspirational story of Kampung Perca (Scrap Fabric Village). This research aims to analyze the filming techniques used in a feature news video, focusing on shot types and camera angles. Data collection methods include observation, interviews, and literature review. The data is analyzed through data reduction, data presentation, data validity testing, and conclusion drawing and verification. The shot types in the feature news video include six categories: wide shot/long shot, medium close-up, medium shot, close-up, big close-up, and over-the-shoulder shot. The camera angles used in the feature news video consist of three categories: high angle, low angle, and eye level. Keywords: angle camera; feature news; filming techniques; shot type.

The Method for Obtaining Shot Cloud Time Span and Range Dependence

When studying the behavior of a shot cloud in space, a variety of information and measurement systems can be applied, for example, based on light screens (photoelectronic blocking devices of a small ballistic measuring installation consisting of a linear emitter and an optical sensor based on a photodiode). To study the process of shot cloud movement in space and to assess its parameters (for example, length at a given range from the muzzle) correctly, it is advisable to have a simulation model of the optical sensor signal when the light screen is crossed by a shot cloud. Taking into account previous studies, it is necessary to know the magnitude of the scale parameter in the Rayleigh distribution describing the shot cloud in the direction of firing in time in order to obtain a similar model at some distance from the muzzle. A method that allows obtaining function of dependence of the mentioned scale parameter and the distance from the muzzle and based on real data from several optical sensors of light screens installed on the shooting track is proposed. The example of application the proposed method to obtain similar functions based on the results of processing optical sensor signals obtained in real experiments for cartridges loaded with three different shot types is given. The obtained dependences were approximated by polynomials of the first and second degree using the least squares method, and the error was estimated for various types of cartridges. Based on the obtained results, specific recommendations for the practical application of the developed method are proposed. The estimation of the confidence interval width for the expectation function of the shot cloud time span is performed. The ways of creating advanced signal simulation models from optical sensors of light screens when shooting with shot are outlined.

An expected shot outcome model for points in elite Gaelic football

ABSTRACT This study develops a logistic regression model to predict the likelihood of scoring a point in Gaelic football based on shot characteristics. A total of 3537 shots from 67 elite inter-county games in 2019 are analysed. The findings indicate that shot distance, pressure, type (open play/dead ball), side and team level are significant predictors in the model with shots from open play significantly less likely to result in scores than shots from dead ball situations. Pressure is found to be a key to the model with the model indicating that taking a shot under high pressure as compared to low pressure is similar to taking the shot from approximately 9 m further away. Also, interaction effects between shot type and distance, type and angle, and side and method are found to be significant with the outcome that shots from the left side of the field with the right foot are most likely to be successful. The variation in the difference between expected and actual scores for games is found to be similar across team levels.

Decisive Shots: Unveiling Disparities between Winning and Losing Pairs in High-Level Men’s Padel

This study aimed to describe and distinguish shot characteristics between set winning and losing pairs in high-level male padel players from Finland. Between 2022 and 2023, we analyzed 4469 points across 38 matches, examining factors such as match type, set outcome, effectiveness of the last shot, generator of forced error, and shot type. Results showed that set-winning players produced more winners (CSR = 7.7; CSR = 6.8) and committed fewer forced (CSR = 4.2; CSR = 2.8) and unforced errors (CSR = 4.0; CSR = 4.3) compared to set losing players, both in pressure training and competition matches. In addition, irrespective of the set outcome, these players achieved more winners and generated more forced errors with the smash, bandeja, forehand volley, and backhand volley. Nevertheless, a significant number of errors (both forced and unforced) are committed with the bandeja and volley (forehand and backhand). Furthermore, notable errors (forced and unforced) are observed in shots following one bounce and without a wall rebound, particularly in the forehand, backhand, and return. In conclusion, the ability to produce winners while minimizing forced and unforced errors proves to be crucial for securing sets in high-level men’s padel.

Relationship between screen-play scenarios' effectiveness and player classification in elite wheelchair basketball based on match results of Tokyo 2020 Paralympic Games

BackgroundThe competitiveness of wheelchair basketball has increased over time. However, screen-play, considered a vital offensive tactic in running basketball, is still poorly clarified. Therefore, this study aimed to clarify the impact of screen-play on scoring and game results in wheelchair basketball and assess the roles of each player classification (PC).MethodsInformation regarding screen-play, including 13 categories such as shot success, location, and PC, was recorded for 22 wheelchair basketball games in the Tokyo 2020 Paralympic Games. This information was analyzed using the chi-square test to evaluate the significant differences in the appearance frequency of variables in each category (categorical variable) between the winning and losing teams and the shot-success rate.ResultsExcept for PC-related categorical variables, comparing the appearance frequency of the winning and losing teams confirmed a significant difference for screen and pass locations (all p < 0.05). Regarding the shot-success rates of the winning and losing teams, a significant difference in five categories was confirmed, including shot and pass locations (all p < 0.05). Regarding the PC, comparing the appearance frequency of the winning and losing teams confirmed a significant difference for PC of the screener (p < 0.05). Significant differences were found in the shot-success rates of the winning and losing teams in nine, five, three, and four categories regarding the PCs of the shooter, user, screener, and passer, respectively, such as shot location, pass location, and type of screen (p < 0.05, respectively).ConclusionIn wheelchair basketball offenses, it may be effective to consider the following points in the scenario lead-up to a shot: Using two different spaces, in the paint and the 3-point field goal area, could be crucial in screen-play. Improving the accuracy of on-the-ball screen plays appears vital, and using off-the-ball screens could also contribute to winning. Allocating approximately 50% of screeners to the middle-point classification (Middle) players and the rest to the low-point (Low) and high-point (High) classification players, at approximately 25% each, may be practical. Regarding winning team player roles, using High shooters and users; Low, Middle, and High screeners; and Middle and High passers contributed to play success.

The Influence of Shot Peening Media on Surface Properties and Fatigue Behaviour of Aluminium Alloy 6082 T6

Shot peening is generally used to improve the fatigue performance of mechanical components. However, identifying the geometrical and mechanical characteristics of the shots that improve fatigue strength is still a challenging task, as there are many variables involved in the shot peening process. The present work addresses the effect of different shot media on the fatigue behaviour of an aluminium alloy 6082 T6. Four different shot types were used: silica microspheres, alumina shots, aluminium cut wire and zinc cut wire. Axial fatigue tests were carried out to obtain the Wöhler curves corresponding to each shot peening treatment. The surface properties of the shot-peened specimens, such as grain size, hardness, residual stress and roughness were measured to determine their effect on the fatigue results. The fatigue results revealed that silica and zinc shots increased significantly the fatigue life of the alloy, whereas alumina and aluminium shots reduced its fatigue strength. Almen intensities have shown to correlate well with grain refinement and strain hardening. However, better fatigue results were obtained with the shots that generated higher surface compressive residual stresses. It is believed that small and smooth shots are preferable to sharp and irregular ones, regardless of the Almen intensity or surface hardness attained with the latter.

Performance dynamics in professional padel: winners, forced errors, and unforced errors among men and women players

ABSTRACT The study aimed to analyse the number of satisfactory shots, the effectiveness of the last shot, and the winners, forced errors, and unforced errors in men’s and women’s professional padel. Data were collected from 41 professional matches at the World Padel Tour Finland Padel Open tournament, focusing on variables such as “set result, effectiveness and typology of the last shot, and number of successful shots”. Descriptive and inferential analyses, including chi-square tests and Z-tests with Bonferroni corrections, were performed. Results indicate that in the men’s padel, the serving pair wins more points than the returning pair. Similarly, in the women’s padel, the serving pair generally wins more points, but in long rallies (20+ shots), the returning pair wins slightly more. A significant association exists between the type of shot and its effectiveness in both winning and losing pairs (p < 0.001). In both men’s and women’s padel, smashes (24.6%–45.7%), bandejas (12.6%–20.2%), and volleys (24.0%–36.0%) are the most effective shots to secure winners. Backhand volleys (18.3%–25.1%) account for the most forced errors, while the most unforced errors are made with bandejas (19.2%–27.0%). These findings are crucial for coaches and players, helping to tailor training to improve match performance based on shot type and sex.

Fruit Variation in Yellow-Fleshed Actinidia (Actinidia chinensis Planch) Plants Grown in Southern Italy as a Function of Shoot Type

One of the goals of modern orcharding is to produce a high volume of fruits with uniform size, organoleptic parameters, and health characteristics. The aim of this work was to study various shoot types and their prevailing positions along the cane and to identify how shoot type can influence the quality of fruit from the Actinidia tree. The experiment was conducted over a two-year period in a commercial orchard of Actinidia chinensis, cv. Gold 3. The shoots along the cane were classified as follows: spur shoots (SPs), terminated shoots (TEs), non-terminated shoots (NTs), and cut non-terminated shoots (CNTs). The data were statistically processed using ANOVA and Principal Component Analysis (ACP). Four different categories of fruit were obtained from the four shoot types, and their various attributes were compared. The prevailing category (comprising 55% of the studied fruits) was TEs, which are characterised by a higher soluble solid content, sweetness, and excellent health characteristics, as well as the reduced hardness of their pulp, which would support the hypothesis that harvesting could be brought forward. The second most common category (comprising 19% of total fruit) with the lowest soluble solid content, but a high antioxidant capacity, was that which was detached from the CNTs, while 13% of the fruit was produced from NTs, which had the lowest health value but good sweetness perception. Finally, the category with the lowest fruit percentage over the total fruit harvested (10%) was SPs, which are characterised by their smaller size. It has yet to be determined what the performance of each category will be post-harvest; whether it is possible to assign the quality categories while harvesting the fruit or to differentiate the harvest time accordingly remains subject to debate.

Enhancing Badminton Game Analysis: An Approach to Shot Refinement via a Fusion of Shuttlecock Tracking and Hit Detection from Monocular Camera.

Extracting the flight trajectory of the shuttlecock in a single turn in badminton games is important for automated sports analytics. This study proposes a novel method to extract shots in badminton games from a monocular camera. First, TrackNet, a deep neural network designed for tracking small objects, is used to extract the flight trajectory of the shuttlecock. Second, the YOLOv7 model is used to identify whether the player is swinging. As both TrackNet and YOLOv7 may have detection misses and false detections, this study proposes a shot refinement algorithm to obtain the correct hitting moment. By doing so, we can extract shots in rallies and classify the type of shots. Our proposed method achieves an accuracy of 89.7%, a recall rate of 91.3%, and an F1 rate of 90.5% in 69 matches, with 1582 rallies of the Badminton World Federation (BWF) match videos. This is a significant improvement compared to the use of TrackNet alone, which yields 58.8% accuracy, 93.6% recall, and 72.3% F1 score. Furthermore, the accuracy of shot type classification at three different thresholds is 72.1%, 65.4%, and 54.1%. These results are superior to those of TrackNet, demonstrating that our method effectively recognizes different shot types. The experimental results demonstrate the feasibility and validity of the proposed method.

Interactions between developmental phenology, carbon movement, and storage constrain demography in the understory clonal herb Podophyllum peltatum L.

Little is known about how carbon integration and storage dynamics affect and are affected by demography in field populations. We sought to elucidate this link by examining dynamic patterns of carbon integration relative to the timing of demographically significant developmental decisions regarding shoot type determination in mayapple, Podophyllum peltatum, a clonal plant with large and persistent rhizomes. Individual rhizome systems growing in natural populations were fed 14CO2 either in late-April, early-May, or mid-June, then harvested at intervals throughout the current season and into the next. When distribution of label was examined we found that carbon fixed at different times in the growing season is used differently: April-fixed assimilate remained in the labeled shoot or was moved into the old rhizome, May-fixed assimilate was found predominantly in the old rhizome, while early-June fixed assimilate moved into the old rhizome and the extending new ramet. Movement of assimilate into the old rhizome appeared to have precedence over formation of additional new ramets. Despite significant within season changes in location of dominant sinks within rhizome systems, there was little redistribution of labeled assimilate: early fixed assimilate was not used to fuel later within season growth, however, assimilate was redistributed between seasons. Vegetative and sexual systems differed in the distribution only of April-fixed assimilate. This was observed even though early labeling occurred prior to anthesis. Sexual systems retained a greater proportion of assimilate in the stem than did vegetative ones, which exported more to the old rhizome. 14C-distribution patterns did not vary between systems differing in future demographic status suggesting that the developmental decision regarding shoot type is based on resources acquired in prior years. We explore the hypothesis that preformation and storage are functionally linked traits that permit plants to coordinate the developmental determination of structures differing in cost and demographic function with known resource status. We conclude that demography influences and is influenced by integrative physiology and that physiological restrictions on within season redistribution of assimilates constrain plants' capacities to respond to short-term environmental variation. Such constraints may affect plants' abilities to respond to rapid environmental change in the Anthropocene.

Oppression and Females’ Defending in the Devil Wears Prada

Although the film industry has improved in terms of portraying female characters since the 1960s, there are still issues visible to the public, and one is the hidden objectification of females in supposedly feminist movies. Another popular opinion recently, especially on Chinese social media platforms, is that fashion acts as a tool of the patriarchy to force the male gaze onto women. However, this paper intends to discuss how the fashion industry acts as a non-patriarchal field that provides opportunities for females in terms of improving themselves. The movie, The Devil Wears Prada, will be analyzed as an example to explain how the fashion industry, in this movie, does not consist of the male gaze and propels the main character’s growth. The approaches used in this paper are Laura Mulvey’s gaze theory and analyzing specific scenes in the movie, The Devil Wears Prada. The scenes will be analyzed using the apparatus theory in films, explaining how the different types of shots influence the message conveyed in the movie. In conclusion, this paper reveals that even a feminist film like The Devil Wears Prada contains various circumstances of the male gaze; however, these circumstances of the male gaze influencing women do not appear because of the fashion industry, and consequently, the fashion industry should not be disapproved as a source of the male gaze, as it provides opportunities for women to improve themselves in terms of their career and wellbeing.

Intraspecific leaf trait variation of the heterophyllous amphibious plant Luronium natans: a trait-based study

Heterophylly, a type of intraspecific trait variation (ITV), is commonly observed in aquatic and amphibious plants. In this study, we focused on Luronium natans (L.) Raf., as a model species to investigate ITV, specifically looking at variations within different leaf types. The objective was to test general hypotheses regarding ITV across various leaf traits. We collected 210 leaves from the homogeneous environments of softwater lakes in northwestern Poland to measure six leaf traits: leaf area (LA), leaf dry weight (LDW), specific leaf area (SLA), leaf dry mass content (LDMC), circularity, and leaf width/length ratio (shape traits). These leaves were categorized into three types based on the shoot: heterophyllous shoots with floating leaves (HF), heterophyllous shoots with submerged leaves (HS), and submerged rosettes with linear leaves (S). Significant differences were observed in LA and LDMC within these leaf types and in SLA between HF and S types. ITV within each shoot type exhibited a wide range of variation, particularly in LA, LDW, SLA, and LDMC, with shape traits displaying stronger variability than functional traits. Our results indicate lower ITV of functional leaf traits within the same heterophyllous shoots compared to fully submerged leaves in a rosette form. We also noted negative correlations between SLA-LDMC and LA-circularity trait pairs, suggesting a variation–covariation pattern in leaf traits with minimal influence from water environmental factors.

Identify Cricket Shots using Machine Learning

Cricket shot detection is a game-changing technology that offers deep insights into player performance and match data, completely changing the way the sport is played. The main elements and importance of cricket shot detection systems are explored in this abstract. Using computer vision and machine learning techniques, the system examines video footage of cricket matches to accurately detect and classify every shot made by batsmen. Shot types (such as cover drive, pull, or leg glance), shot trajectories, and success rates are among the important data it retrieves. Numerous stakeholders in the cricketing ecosystem find diverse uses for cricket shot detection. It provides coaches and professional athletes with an unmatched post-match analysis tool that helps with strategic planning and performance enhancement.The method is used by team analysts to create winning strategies by gaining insight into opponents' shot patterns. Shot detection provides compelling visualizations and real-time shot labels in the broadcasting domain, enhancing the viewing experience. While talent scouts and cricket organizations use technology to find players and nurture talent, cricket enthusiasts profit from comprehensive shot data. This abstract highlight cricket shot detection's potential and adaptability, highlighting how it can revolutionize the cricket industry. Technology keeps improving the game, empowering players, and enthralling spectators with a deeper comprehension of the sport. Several sports have received a lot of attention and popularity recently. Many people were pining for live sports action during the height of the recent outbreak because there were no sporting activities. With millions of devoted fans who watch the games with emotion, cricket is one of the most respected sports in India. Enticed by the game, fans frequently conduct in-depth evaluations of certain players, focusing on their skills and shot choices. A greater number of people are interested in assessing players' performances in order to make wise choices for fantasy teams, especially in light of the popularity of fantasy leagues and related services. Automation presents a potential solution to the significantly time-consuming and manual process of detecting cricket batters' shots. In order to accomplish its goals, this study uses deep learning in the form of Convolutional Neural Networks (CNNs) to present an efficient method for evaluating cricket strokes

Application and Analysis of Montage Shooting Techniques in the Film The King's Speech

The method of montage shooting is to express the film story more directly by splicing the shots. When telling the story that a person's thinking and doing things are not understood, it can be recalled through the narration, and the reason for the development of the story can be narrated at the end so that the audience can have a feeling of enlightenment. This also makes the film more layered and expressive. Through an in-depth study of the film The King's Speech, this paper analyzes the application of montage shooting techniques in the film. This paper first introduces the importance of montage in film production and the basic background of The King's Speech, then analyzes in detail how different types of montage shots promote the plot and express the complex emotions between the protagonists, and finally evaluates and reflects on the effect of using montage shooting techniques. This study not only contributes to an in-depth understanding of this classic film but also provides valuable enlightenment for future film and television production.

A traditional fermented bamboo shoot reduces intracellular fat accumulation and promotes fat browning in differentiated 3T3‐L1 adipocyte cells through the activation of the AMPK signaling pathway

AbstractFunctional foods, such as fermented bamboo shoots, have a long history of consumption among the ethnic communities in northeast India. These locally fermented bamboo shoots contain a wealth of beneficial microbes and metabolites that can help combat metabolic syndromes like obesity. However, the precise effects and mechanism behind fermented bamboo shoot products and their anti‐obesity properties remain unknown. This study aims to explore the different types of fermented bamboo shoot products to determine their potential anti‐obesity effects as well as to analyze their microbial diversity and metabolite profiles. Using both culture‐dependent and culture‐independent methods, we found a high abundance of lactic acid bacteria from the Firmicutes and Proteobacteria phyla in the sample. Gas chromatography–mass spectrometry (GC–MS) based untargeted metabolite profiling detected several aroma‐active compounds, bioactive metabolites, short‐chain fatty acids, and essential amino acids in the samples. The water extract derived from a particular type of fermented bamboo shoot, Melye‐amiley, was found to significantly reduce intracellular lipid accumulation in cultured 3T3‐L1 cells. In addition, this extract increased the expression of lipolytic (hormone‐sensitive lipase, lipoprotein lipase, and adipose triglyceride lipase) and browning regulator genes (uncoupling protein [UCP1], PRDM16, and PGC1‐alpha). By activating the AMPK signaling pathway, the water extract from Melye‐amiley also upregulated thermogenic protein expression and promoted mitochondrial biogenesis and fatty acid β‐oxidation. These findings suggest that fermented bamboo shoot extract has promising anti‐obesity effects by boosting energy expenditure in white adipocytes. Future research is necessary to identify the active ingredient(s) that may lead to new therapies to treat obesity.

Adaptive temporal aggregation for table tennis shot recognition

Action recognition is one of the challenging video understanding tasks in computer vision. Although there has been extensive research in the task of classifying coarse-grained actions, existing methods are still limited in differentiating actions with low inter-class and high intra-class variation. Particularly, the table tennis sport that involves shots of high inter-class similarity, subtle variations, occlusion, and view-point variations. While a few datasets have been available for event spotting and shot recognition, these benchmarks are mostly recorded in a constrained environment with a clear view/perception of shots executed by players. In this paper, we introduce a Table tennis shots 1.0 dataset consisting of 9000 videos of 6 fine-grained actions collected in an unconstrained manner to analyze the performance of both players. To effectively recognize these different types of table tennis shots, we propose an adaptive temporal aggregation method that can handle the temporal interactions concerning the subtle variations among shots and low inter-class variations. Our method consists of two components, namely, (i) feature extraction module and (ii) temporal aggregation network. The feature extraction module is a 3D convolutional neural network (3D-CNN) that captures the spatial and temporal characteristics of table tennis shots. Here we propose to replace the final global average pooling layer (GAP) with the temporal aggregation network to overcome the loss of motion information due to averaging of temporal features. This temporal aggregation network utilizes the attention mechanism of bidirectional encoder representations from Transformers (BERT) to model the significant temporal interactions among the shots effectively. We demonstrate that our proposed approach improves the performance of existing 3D-CNN methods by ≈10% on the Table tennis shots 1.0 dataset.

Comparative Biomechanical Study Between Shooting with Two Points and Three Points from Specific Areas Inside and Outside the Basketball Shooting Area

The aim of the current research is to identify the relationships and significance of differences in displacements, horizontal and vertical velocities for the strength and accuracy of shooting by jumping with two and three points from specific areas inside and outside the basketball shooting zone at the moment of pivot. It also aims to identify the relationships and significance of differences in displacements, horizontal and vertical velocities for the strength and accuracy of shooting by jumping with two and three points from specific areas inside and outside the basketball shooting zone at the moment of shooting. The research methodology utilized a descriptive approach using survey studies with their tools and procedures, relying on video analysis as it suited the nature of the research. The research sample consisted of three players who were purposely selected to be similar in physical characteristics and skilled in shooting a basketball. Each player performed 10 attempts, divided into five two-point and five three-point shooting attempts. The best three attempts for each player in both types of shooting, which achieved the highest level of accuracy according to the test, were selected from specific areas inside and outside the basketball shooting zone. Thus, the actual attempts subjected to statistical processing were 18 attempts, divided into nine attempts for shooting with two points from areas within the shooting zone and nine attempts for shooting with three points from specific areas outside the shooting zone. The researcher concluded that the logarithmic differences between correlation coefficients for horizontal and vertical displacements and velocities for the strength and accuracy of shooting by jumping with two and three points from specific areas inside and outside the basketball shooting zone favored shooting with three points. Also, the logarithmic differences between correlation coefficients for horizontal and vertical velocities for the strength and accuracy of shooting by jumping with two and three points from specific areas inside and outside the basketball shooting zone favored shooting with three points.

Shots at goal in Australian Football: Historical trends, determinants of accuracy and common strategies

ObjectivesTo understand the historical context of and relationships between, the characteristics of shots at goal and match outcome in the Australian Football League. DesignObservational. MethodsDescriptive statistics of shots at goal were calculated and compared across 20 seasons. The location, type, and outcome of all shots at goal (n = 43,254), by all teams (2017–19 & 21), were compared with match outcome. ResultsThe total number of shots per match and the accuracy of shots haven't changed in two decades. Most teams win by having more shots at goal (Wilcoxon-r effect size 0.63) than their opponent (i.e. “majority strategy”) and of these, the number of open shots (0.48) is slightly more important than set shots (0.43), followed by shot accuracy (0.29). However, some teams (14 %) win by taking fewer shots at goal from field locations with a higher likelihood of scoring a goal (i.e. “minority strategy”). Arc angle and shot type can be used to predict the outcome of a shot at goal with 60.3 % classification accuracy. The novel shot-outcome prediction model reported here provides a better opportunity to evaluate goal kicking performance of teams and players, because it accounts for the type and difficulty of the shot. ConclusionsTeams can evaluate the shot accuracy of their players more fairly, by accounting for shot location using the method reported here. Coaches can compare the two shot strategies identified and implement the one that suits the skill profile of their players and increase their likelihood of winning.