Loading
Skip Navigation LinksHome » Articles » Competitive demands of elite handball

Competitive demands of elite handball

– Written by Claude Karcher and Martin Buchheit, France

 

INTRODUCTION

Team handball has received growing interest during the past decades1. Understanding the technical and physical demands of the sport is essential for talent identification, injury prevention and the design of position-specific training programmes both in developing and professional players2-6. To date, on-court physical and physiological demands during games have been only partially reviewed7 and the influence of playing positions on these demands has been overlooked. In this review – a condensed summary of our previous work8 – we attempt to present recent knowledge from both the scientific and technical literature on the various technical, tactical and physical aspects of elite team handball performance, with a special emphasis on positional demands. The data reviewed in this article are limited to elite male players (that is, those competing in the strongest leagues in Europe and/or during international championships). Playing standard, country league9 and gender10 are likely to modify game demands and thus deserve more specific analyses in the future.

 

GAME DYNAMICS

Attack phases are split into two distinct phases: counter-attack and attack build-up. A counter-attack is the phase during which the attacking team tries to overtake the recovery phase of the opponent team, once the ball is lost (e.g. a successful defensive sequence, save from the goalkeeper or technical fault of the opponent attackers). Attack build-up phases occur when the counter-attack is unsuccessful, but the attacking team still possesses the ball.

 

Although not representing the greatest proportion of ball possessions (12% ±6; range 0 to 32%), counter-attacks (both their number and effectiveness) are highly determinant for game outcomes9. It is important to realise that the actual number of counter-attack attempts is likely to be higher than reported because counter-attacks are generally not recorded when the defending team manages to avoid a shoot with a good recovery phase. Attack build-up phases represented the largest proportion of ball possessions during the 2012 European Championship (88% ±6; range 68 to 100). The low percentage of success in this phase (47% ±4; range 39 to 60) illustrates the importance of defensive phases and goalkeeper performance for game outcomes11. The number of ball possessions has remained relatively stable during the past years, with 56±4 attacks per game reported in the 2008 Olympic Games12 and 53±4 (range 44 to 67) in the 2012 European Championship. In some games (such as German professional league), more than 80 ball possessions are sometimes observed13. This means that, on average, defence and attack phases alternate every ~22 to ~36 seconds.

 

There are six different playing positions on the court (Figure 1), based on player location on the field during either offensive phases (left wing, left back, centre back, right back, right wing and pivot) or defensive phases (players are counted from the side to the centre of the field). Goalkeepers play in a dedicated zone (Figure 1), and each position has its own specificities. Pivots play in the smallest area (~12 m2) and are between two defenders most of the time. Wings play in an area of ~15 m2, while backs and centre backs play in wider spaces (~64 m2). The technical demands for each position are described in Table 1.

 

PLAYING POSITION TECHNICAL ANALYSIS

Technical demands are summarised in Figure 2. Backs use their shoulders more than wings and pivots for shooting and passing (Table 1). These movements are likely to stress the shoulder joints14, which suggests that appropriate training must be implemented for these players (such as rotator cuff training)15.

 

Clasping and checking are only allowed in certain conditions and are an important part of defensive phases in handball. The tactical role of each position generates numerous body contacts and one-to-one situations. During games in the Danish first league15, pivots were more involved in contacts than backs, while wings were the least engaged in these actions (Table 1).

The technical demands of goalkeeping have been overlooked in the scientific literature, despite goalkeeper performance being a key factor in the final results of games16. Interested readers are referred to coaching books17 that highlight the specific technical requirements and strong need for flexibility and excellent hand-eye co-ordination capacity, rather than strength and/or hypertrophy for this position.

 

MOTION ANALYSIS

The average running pace in handball (53±7 to 89.9±9 m.minute-1(8)) is lower than in rugby18, basketball19, Australian Rules football20 or soccer21-23. Various factors may explain these differences, including pitch size, player number and specific tactical/technical organisation. There is a lack of homogeneity in the time-motion analyses with respect to tracking systems in the literature (video analysis or hand notation, speed zones or the consideration of players’ substitution8). Despite these limitations, we have merged data related to playing position with hand notation (Figure 3) to provide a basis for the understanding of on-court demands during games24.

 

Position-related analysis

Studies reporting between-position differences in running demands have shown very large disparities for wings and backs8, with some studies demonstrating no consistency in the position classification between backs and wings24,26-28. These differences are likely to be related to game nature (player rotation allowed or not), playing standard, tactical systems and tracking systems8. Data are more consistent for pivots24,26-29, indicating that they generally run less than all other outfield players. Goalkeepers obviously cover the least distance and have a different profile to all other players8.

 

In addition to the distance covered, the occurrence of particular movement patterns and time spent in specific speed zones are useful to examine the demands of the different playing positions and eventually to adapt training contents (Table 2). When considering these criteria, the observation was made in the Portuguese league (Figure 3) that backs run moderately more than pivots and much more than wings24. Pivots are much more involved in very low intensity actions than the other players24.

 

High-intensity runs and actions

In the present review, high-intensity running includes the fast running categories and sprints. These high-intensity runs are generally crucial for game outcomes (e.g. sprinting to win a ball or sprinting during counter-attacks) and have significant physiological effects. For example, they can trigger neuromuscular fatigue30 or inflammatory responses31 and can deplete glycogen when repeated32. The exact number of sprints during games and their occurrence with respect to playing positions remains unclear due to considerable differences in sprint definitions in the literature8.

 

During elite Portuguese games24, the differences between positions were small to moderate, while during the 2007 World Championships, the differences were more significant26. Pivots were shown to cover sprints over 5 to 7 m, backs were over 8 m and wings were over 15 to 18 m26. Wings sprinted more than backs and pivots, but the difference was small. These results have direct implications for the design of position-specific sprinting drills (Table 2).

 

In this review, high-intensity actions refer to high-intensity activities other than high-intensity running, such as jumps, stops, changes of direction and duels. Despite their very short duration, these actions are important to consider because they require high levels of strength and speed. Figure 2 shows their occurrence for each position in elite Portuguese players. Backs and pivots perform significantly more high-intensity actions than wings. Pivots perform many more duels than backs. These differences are most likely to be the result of position-specific tactical demands (Section 2) and have direct implications for position-specific training programmes (Table 2).

 

Repeated high-intensity runs and actions

Despite their importance for specific training prescription, data on the work-recovery ratio of high-intensity runs and actions during games are scarce8. Know-ledge of the mean recovery duration alone is limited to examine effort distribution because it is likely that some repeated sprint/high-speed action sequences also occur with shorter recovery periods between efforts, as found in soccer33-35.

 

Recovery time might not differ greatly between playing positions. In the study by Povoas et al24, which is to our knowledge the only on this topic, 67±22% of the recovery periods between high-intensity runs lasted more than 90 seconds for backs; for wings, this was 63±18% of the recovery periods and for pivots this was 57±24% of the recovery periods. Similarly, 18±16% of recovery periods lasted from 0 to 30 seconds for backs, 17±13% for wings and 19±17% for pivots. Thus, the profile of position-specific repeated high-intensity actions is still unclear and further research is needed. Nevertheless, the data suggest that the time and activity between the vast majority of high-intensity actions (>60%) is probably sufficient for phosphocreatine resynthesis to occur, irrespective of playing positions (if we consider that phosphocreatine is recovered at 50 and 100% within 20 and 90 seconds, respectively36,37). Further research is required to examine more specific locomotor patterns (accelerations and changes of direction) and technical actions both during the attacking and defensive phases in order to complete the overall profiling of game demands38.

 

PHYSIOLOGICAL DEMANDS

Playing handball requires a large number of high-intensity actions (Figure 2) and could lead to acute neuromuscular adaptations and subsequently to decreased neuromuscular performance30. Collisions and contacts are also known to increase indicators of muscle damage39 and may further impair neuromuscular performance40. The progressive accumulation of muscles’ bi-products can affect muscular contractility and impair neuromuscular performance throughout a game41. Despite the limited available data, it is reasonable to state that playing handball places large demands on the neuromuscular and musculoskeletal systems.

 

Handball triggers largely anaerobic glycolysis37,42,43. However, to date, the only available data examining the anaerobic glycolytic system contribution during games are limited to blood lactate measures, which are not without limitations44,45. Nevertheless, this study provides the available blood lactate values as a starting point to understand the anaerobic glycolytic requirements of the game. Blood lactate values were 3.7±1.6 mmol.l-1 after the first half of the game in adult elite male Danish players29 and 4.2±2 mmol.l-1 (range 1.6 to 8.6) throughout the first half of the game in adult elite Portuguese players24. During the second half of the game, blood lactate were 3.1±1.8 mmol.l-1 (range 1.3 to 8.4) during an elite Portuguese game24 and 4.82±1.89 mmol.l-1 during an elite Danish game. In line with the large between-position differences in match activity patterns (Figures 2 to 4), anaerobic glycolytic contribution would also be expected to differ between positions. However, this still requires investigation with a larger sample of players.

 

Game duration (individual playing time per match: 32 to 53 minutes26,27) and the repetition of high-intensity runs and actions in combination trigger aerobic metabolism at high levels. While oxygen uptake () assessment is the most valid tool to examine aerobic demands, there is to date no data from during real games. Since heart rate (HR) measures might not perfectly reflect responses during handball play46, we recommend interpreting HR as actual cardiac work, rather than trying to extrapolate this to  values.

 

Regarding motion patterns HR responses indicated large between-playing position variations in elite Portuguese handball (Figure 4). The goalkeepers showed the lowest HR demands, with ~60% of the time spent <70% HRmax and no time spent >90% HRmax. Wings spent the largest part of their time in the 70 to 80% and 80 to 90% zones (~30% in the two intensities), while backs and pivots spent more time in the 80 to 90% zone. The greater cardiac demands observed for these two latter positions (at or close to HRmax) suggest that there should be greater emphasis on cardiopulmonary function during training (Table 2), and/or that different rotational strategies should be implemented during games to prevent excessive fatigue development.

 

PLAYER ROTATIONS AND FATIGUE OCCURRENCE DURING GAMES

In contrast to soccer, player rotations in handball are unlimited and can occur at any time during games. Despite some exceptions (such as Icelandic left wing Guðjón Valur Sigurðsson, who played all six games for his team during the 2012 European Championship), playing >90% of the total time during an international competition is not typical. For instance, only nine players (~3% of the players involved in the competition) played more than 90% of total game time during the 2012 European Championship; 14% played for more than 75%; 25% played between 75 to 50%; 34% played between 25 to 50% and 28% played between 0 to 25%11.

 

At the elite level, mainly for strategic reasons, some players rotate at almost every ball possession (i.e. some players have only a defensive role, while others have only an offensive role). For example, in a French first league team (SC Sélestat, 2002), the average game rotations were 26±7 for pivots47. Playing time could be accumulated either continuously or intermittently (i.e. via the successive defensive phases for specialist players). To our knowledge, despite the potentially significant consequences of rotation strategies on technical activities and match running performance during team sport games48, the effect on fatigue development has never been investigated in handball. During the 2007 World Cup (~170 players), wings (n~40; 38±2 minute) and goalkeepers (n~20; 37±3 minute) played significantly more than backs (n~60; 29±2 minutes) and pivots (n~25; 30±3 minute). This playing time distribution confirms the position-specific demands that were previously highlighted, which suggest that the wing and goalkeeper positions are less demanding than the back and pivot positions.

 

As aforementioned, the work recovery ratio between most high-intensity actions may allow sufficient recovery to maintain the performance level of the majority of these actions. Whether the decreased occurrence of high-intensity activities and HR29,49 observed during the second vs first half of a game results exclusively from fatigue or more from changes in game dynamics, is unclear. For example, the importance of the final issue may force players to reduce the game pace, while disciplinary sanctions and team time out are generally more frequent during the second half of the game.

 

A small number of studies have considered fatigue related to playing position, however these studies’ inclusion criteria were questionable27,30 and the players’ rotations were not considered26,49. Therefore, it is possible that the occurrence of fatigue during handball games may have been overestimated. We also suggest that the nature and occurrence of fatigue in a game are likely to be dependent on the playing position, as suggested by the differences in the positions’ technical and physiological demands and total playing time26. Finally, our field experience suggests that coaches managing the rotation of players in an appropriate manner could actually avoid the excessive physiological loading of the players, thereby preventing fatigue appearance and improving player efficiency throughout the game.

 

LIMITATIONS OF CURRENT GAME ANALYSIS AND IMPLICATIONS FOR FUTURE RESEARCH

There are many defensive systems (man-oriented defence, ball-oriented defence and mixed defence) and many player repartitions on the field (e.g. 5-1, 6-0 and 3-2-1). For example, for a given playing position in the field, the defensive role can change substantially based on tactical variations. In Croatian elite players, when comparing two playing positions (playing #1 in a 0-6 ball-oriented defence and defending #2 in 3-2-1 defence), player #1 is required to cover a much larger distance (4880±112 m vs 5270±274 m, respectively) with greater physiological demand (mean HR: 166 bpm vs 158 bpm)50. Similar effects of team structure or playing systems have been reported in other team sports51,52.

 

Moreover, in all time-motion and physiological analyses to date in handball10,24,26-28,49,53, distinctions between playing positions and the roles in offensive vs defensive phases have never been considered. Jonas Källman (2001 to 2014) plays in the left wing position in attack, but generally plays as an advanced defender in a 5-1 defence (#3 high). Pivots, who play in the middle court section in attack, frequently defend in position #2 and not necessarily in #3 high or low.

 

To summarise, defensive systems practised, defensive systems attacked and playing position-specific tasks that can vary both during and between consecutive games (strategic adjustments) all have large effects on technical, tactical and motion patterns and physiological demands. Unfortunately, these factors have not yet been researched. A better understanding of these specific requirements is likely to improve coaching and handball-specific training drills.

 

CONCLUSION

This condensed summary of our previous work8,25 provides a comprehensive analysis of the various technical and physical on-court demands placed on elite male handball players, with respect to playing positions. Attack build-up phases represent the larger part of ball possession (88±6%), while counter-attacks represent 12±6% of game possessions. The average running pace is between 53±7 and 89.9 m.minute-1 18,25.
Handball is clearly an intensive activity for all players, with a large number of high-intensity actions (jumps, duels, sprints, changes of direction and contacts) and significant variation in the technical and physiological demands between the different positions. However, this has not been addressed in the current available literature, and further study is required.

 

The data on goalkeepers are limited and, due to their particular activity profile, more detailed and specific analyses (such biomechanics) are required. Pivots generally cover the smallest distance on the field, yet they exercise at a relatively high-intensity due to the large number of body contacts they give and receive. Wings perform the greatest number of high-intensity runs, receive and give the smallest number of contacts and show the lowest physiological demands. Finally, the playing activity of backs is between those described for the other two on-field positions, while they shoot and pass substantially more than all other players. These results indicate that specific physical preparation in accordance to these demands is required (Table 2).

 

Whether physical fatigue does occur during games remains unclear because, in the majority of studies, games were not examined under real competitive situations. We conclude that, in practice, appropriate player rotations may allow players to maintain individual physical performance levels – or may at least limit a possible drop in physical/playing efficiency. As highlighted in this review, future research should essentially focus on the technical and physiological responses during games in relation to specific collective systems of play and individual playing roles. The occurrence of playing position-specific fatigue should also be better-examined when considering individual playing time and rotation strategies. In addition, we recommend that the match activities of goalkeepers be researched further. Finally, appreciating the relationship between training drills and game demands54 might improve the future design of individualised handball-specific training programmes.

 

Claude Karcher M.Sc.

Ph.D. Candidate

 

Martin Buchheit M.Sc., Ph.D.

Faculty of Sport Sciences

University of Picardie

Amiens, France

 

Sport Science Unit

Myorobie Association

Montvalezan, France

Contact: mb@martin-buchheit.net

www.martin-buchheit.net

 

Image via Tony Lim

 

References

1.    InfrontSport. Handball hits new heights 2012. Available from: http://www.infrontsports.com/mediarights/handball/

2.    Vaeyens R, Lenoir M, Williams AM, Philippaerts RM. Talent identification and development programmes in sport : current models and future directions. Sports Med 2008; 38:703-714.

3.    Vaeyens R, Gullich A, Warr CR, Philippaerts R. Talent identification and promotion programmes of Olympic athletes. J Sports Sci 2009; 27:1367-1380.

4.    Chaouachi A, Brughelli M, Levin G, Boudhina NBB, Cronin J, Chamari K. Anthropometric, physiological and performance characteristics of elite team-handball players. Journal Sports Sci. 2009; 27:151-157.

5.    Sporiš G, Vuleta D, Vuleta D Jr, Milanović D. Fitness profiling in handball: physical and physiological characteristics of elite players. Coll Antropol 2010; 34:1009-1014.

6.    Srhoj V, Marinović M, Rogulj N. Position specific morphological characteristics of top-level male handball players. Coll Antropol 2002; 26:219-227.

7.    Ziv G, Lidor R. Physical characteristics, physiological attributes, and on-court performances of handball players: a review. EurJ Sport Sci 2009; 9:375-386.

8.    Karcher C, Buchheit M. On-court demands of elite handball, with special reference to playing positions. Sports Med 2014: Under revisions.

9.    Meletakos P, Bayios I. General trends in European men's handball: a longitudinal study. Int J Perf Anal Sport 2010; 10:221-228.

10.  Michalsik LB, Aagaard P, Madsen K. Physical demands in elite team handball: comparisons between male an female players. 17th Annual ECSS Congress, Bruges 2012.

11.  European Handball Federation. Official statistics, Men's European Championship 2012.

12.  Skarbalius A. Monitoring sport performance in handball. In: Federation EH, ed. EHF Scientific Conference 2011.

13.  Seco JdDR. La evolución del juego de ataque en balonmano. Revisión histórica: Los inicios del Siglo XXI. E-balonmano com: Revista de Ciencias del Deporte 2007; 3:79-99.

14.  Jancosko JJ, Kazanjian JE. Shoulder injuries in the throwing athlete. Phys Sportsmed 2012; 40:84-90.

15.  Michalsik LB, Madsen K. Technical activity profile and influence of body anthropometry in male elite Team Handball players. In: Federation EH, ed. EHF Scientific Conference 2011.

16.  Gutiérrez O. Discriminant analysis between winners and loosers in the Asobal league 2008-2009. EHF Web Periodicals 2011.

17.  Tachdjian C, Omer J. Gardien de but de Handball : L’analyse et le travail 2006.

18.  Waldron M, Twist C, Highton J, Worsfold P, Daniels M. Movement and physiological match demands of elite rugby league using portable global positioning systems. J Sports Sci 2011; 29:1223-1230.

19.  Ben Abdelkrim N, Chaouachi A, Chamari K, Chtara M, Castagna C. Positional role and competitive-level differences in elite-level men's basketball players. J Strength Cond Res 2010; 24:1346-1355.

20.  Wisbey B, Pyne D, Rattray B. Quantifying changes in AFF player games demands using GPS tracking. 2011 AFL Season. 2011.

21.  Stolen T, Chamari K, Castagna C, Wisloff U. Physiology of soccer: an update. Sports Med 2005; 35:501-536.

22.  Rampinini E, Coutts AJ, Castagna C, Sassi R, Impellizzeri FM. Variation in top level soccer match performance. Int J Sports Med 2007; 28:1018-1024.

23.  Rampinini E, Impellizzeri FM, Castagna C, Coutts AJ, Wisloff U. Technical performance during soccer matches of the Italian Serie A league: effect of fatigue and competitive level. J Sci Med Sport 2009; 12:227-233.

24.  Póvoas S. Estudo do Jogo e do Jogador de Andebol de Elite: Universidade do Porto 2009.

25.  Gonzalez-Izal M, Malanda A, Gorostiaga E, Izquierdo M. Electromyographic models to assess muscle fatigue. J Electromyogr Kinesiol 2012; 22:501-512.

26.  Luig P, Manchado C, Pers J. Motion characteristics according to playing positions in international men’s team handball. In: Science ECoS, ed. Annual Congress of the European College of Sport Science; Estoril 2008.

27.  Michalsik L, Aagaard P, Madsen K. Locomotion characteristics and match-induced impairments in physical performance in male elite team handball players. Int J Sports Med 2013; 34:590-599.

28.  Šibila M, Vuleta D, Pori P. Position-related differences in volume and intensity of large-scale cyclic movements of male players in handball. Kinesiology 2004; 36:58-68.

29.  Michalsik L. Match performance and physiological capacity of male elite team handball players. In: Federation EH, ed. EHF Scientific Conference 2011.

30.  Thorlund JB, Michalsik LB, Madsen K, Aagaard P. Acute fatigue-induced changes in muscle mechanical properties and neuromuscular activity in elite handball players following a handball match. Scand J Med Sci Sports 2008; 18:462-472.

31.  Marin DP, dos Santos Rde C, Bolin AP, Guerra BA, Hatanaka E, Otton R. Cytokines and oxidative stress status following a handball game in elite male players. Oxid Med Cell Longev 2011; 2011:804873.

32.  Balsom PD, Gaitanos GC, Soderlund K, Ekblom B. High-intensity exercise and muscle glycogen availability in humans. Acta Physiol Scand 1999; 165:337-345.

33.  Bradley PS, Sheldon W, Wooster B, Olsen P, Boanas P, Krustrup P. High-intensity running in English FA Premier League soccer matches. J Sports Sci 2009; 27:159-168.

34.  Buchheit M, Mendez-Villanueva A, Simpson BM, Bourdon PC. Repeated-sprint sequences during youth soccer matches. Int J Sports Med 2010; 31:709-716.

35.  Carling C, Le Gall F, Dupont G. Analysis of repeated high-intensity running performance in professional soccer. J Sports Sci 2012; 30:325-336.

36.  Balsom PD, Seger JY, Sjodin B, Ekblom B. Maximal-intensity intermittent exercise: effect of recovery duration. Int J Sports Med 1992; 13:528-533.

37.  Glaister M. Multiple sprint work : physiological responses, mechanisms of fatigue and the influence of aerobic fitness. Sports Med 2005; 35:757-777.

38.  Perez-Gomez J, Rodriguez GV, Ara I, Olmedillas H, Chavarren J, González-Henriquez JJ et al. Role of muscle mass on sprint performance: gender differences? Eur J Appl Physiol 2008; 102:685-694.

39.  McLellan CP, Lovell DI, Gass GC. Biochemical and endocrine responses to impact and collision during elite Rugby League match play. J Strength Cond Res 2011; 25:1553-1562.

40.  McLellan CP, Lovell DI. Neuromuscular responses to impact and collision during elite rugby league match play. J Strength Cond Res 2012; 26:1431-1440.

41.  Girard O, Mendez-Villanueva A, Bishop D. Repeated-sprint ability - part I: factors contributing to fatigue. Sports Med 2011; 41:673-694.

42.  Gastin PB. Energy system interaction and relative contribution during maximal exercise. Sports Med 2001; 31:725-741.

43.  Spencer M, Bishop D, Dawson B, Goodman C. Physiological and metabolic responses of repeated-sprint activities:specific to field-based team sports. Sports Med 2005; 35:1025-1044.

44.  Krustrup P, Mohr M, Steensberg A, Bencke J, Kjaer M, Bangsbo J. Muscle and blood metabolites during a soccer game: implications for sprint performance. Med Sci Sports Exerc 2006; 38:1165-1174.

45.  Bangsbo J, Iaia FM, Krustrup P. Metabolic response and fatigue in soccer. Int J Sports Physiol Perform 2007; 2:111-127.

46.  Buchheit M, Lepretre PM, Behaegel AL, Millet GP, Cuvelier G, Ahmaidi S. Cardiorespiratory responses during running and sport-specific exercises in handball players. J Sci Med Sport 2009; 12:399-405.

47.  Dott E. Analyse qualitative et quantitative des actions motrices en handball. 2002.

48.  Mooney M, Cormack S, O'Brien B, Coutts AJ. Do physical capacity and interchange rest periods influence match exercise-intensity profile in Australian football? Int J Sports Physiol Perform 2013; 8:165-172.

49.  Povoas SC, Seabra AF, Ascensao AA, Magalhaes J, Soares JM, Rebelo AN. Physical and physiological demands of elite team handball. J Strength Cond Res 2012; 26:3365-3375.

50.  Pori P. Analysis of loading and effort of wing players in team handball. Ljubljana: University of Ljubljana 2003.

51.  Bradley PS, Carling C, Archer D, Roberts J, Dodds A, Di Mascio M et al. The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches. J Sports Sci 2011; 29:821-830.

52.  Ben Abdelkrim N, Castagna C, El Fazaa S, El Ati J. The effect of players' standard and tactical strategy on game demands in men's basketball. J Strength Cond Res 2010; 24:2652-2662.

53.  Chelly MS, Hermassi S, Aouadi R, Khalifa R, Van den Tillaar R, Chamari K et al. Match analysis of elite adolescent team handball players. J Strength Cond Res 2011; 25:2410-2417.

54.  Casamichana D, Castellano J, Castagna C. Comparing the physical demands of friendly matches and small-sided games in semiprofessional soccer players. J Strength Cond Res 2012; 26:837-843.

55.  Hopkins WG, Marshall SW, Batterham AM, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc 2009; 41:3-13.

56.  Bangsbo J, Norregaard L, Thorso F. Activity profile of competition soccer. Can J Sport Sci 1991; 16:110-116.

57.  Cormie P, McGuigan MR, Newton RU. Developing maximal neuromuscular power: Part 1--biological basis of maximal power production. Sports medicine. 2011;41(1):17-38.

58.  Cormie P, McGuigan MR, Newton RU. Developing maximal neuromuscular power: part 2 – training considerations for improving maximal power production. Sports Med 2011; 41:17-38.

59.  Kraemer WJ, Ratamess NA. Fundamentals of resistance training: progression and exercise prescription. Med Sci Sports Exerc 2004; 36:674-688.

60.  Sheppard J, Young W. Agility literature review: classifications, training and testing. J Sports Sci 2006; 24:919-932.

61.  Buchheit M, Laursen PB. High-intensity interval training, solutions to the programming puzzle: Part I: cardiopulmonary emphasis. Sports Med 2013; 43:313-338.

62.  Bahr R, Engebretsen L. Handbook of Sports Medicine and Science, Sports Injury Prevention: Wiley-Blackwell 2011.

Switch Language: list thumbnails
Bookmark and Share

Category

Sports Science

Volume 3
Targeted Topic - Sports Medicine in Handball
view all articles in this issue

Article Images

Copyright © Aspetar Sports Medicine Journal 2019