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Characterisation of Irish Junior

Handball Players

Richard Mc Cann

Introduction

• In 1884 handball was included in the Gaelic Athletic Association (GAA ) charter as one of the four Gaelic games organised by the GAA (O’Flynn & Baldwin, 2008).

• The game is played throughout schools and GAA clubs and consists of several codes based on handball court dimensions and number of walls.

• For the purposes of this study the emphasis has been placed on profiling and characterising players participating in the 40 feet x 20 feet code of handball.

• Classified as an indoor court sport which also include squash, racquetball, and badminton (Alexander & Boreskie, 1989).

• A handball match consists of two games to 21 with a tie breaker (if required)played to 11 while the scoring system dictates that points can only be won when a player is in serve.

Introduction

• In regards to the literature concerning handball it has received little attention in comparison to the other indoor court sports.

• Very few papers published over the last 20 years.

– An early time motion analysis conducted by Francis (1952).

– Loftin (1996), recreational handball players aged 45-50, analysis of singles play.

– A time motion, physical and physiological profile was conducted by Alexander and Boreskie (1989) on two elite handball players.

Aims/Objectives

• The aim of the first part of this research project was to conduct an anthropometric and physical profile of male and female junior Irish handball players.

• The aim of the second part of the research project was to assess the physiological response of players to the game demands during competition matches.

• The aim of the third part of the research project was to conduct a match activity analysis to determine match length, game length, rally length, number of shots per rally and actual work time of players.

Study 1

Anthropometric & Physical

Profiling

Methods

Subject Recruitment:

• The recruitment of subjects involved contacting GAA handball Ireland for permission.

• Juveniles from the ages of 14-17 would partake in the study.

• The selection criterion was based on player performance over several juvenile competitions.

• Each subject and their parents gave written informed consent before the start of the study.

• Ethical approval was granted by the ethics committee at Staffordshire University.

CMJ

MBT

Methods

Anthropometric & Physical Characterisation:

Anthropometric & Flexibility

Assessment

Height, Mass, ∑ 7

S & R

Power Assessment

Speed Assessment

5m & 10m

Speed

5-10-5

Agility

Agility Assessment

Aerobic Endurance Assessment 20m MSFT

Anthropometric Characterisation Results

Anthropometric characteristics of junior male and female handball players.

Parameter

Age

(yrs)

Height

(cm)

Mass

(kgs)

∑7 skinfolds

(mm)

Male (N=19)

Female (N=10)

16 ( ± 1.2) 174.1

( ± 8.6)*

64.4 ( ± 10.4) 62.8 ( ± 15.6)*

15 ( ± 1.1) 161.7 ( ± 3.8) 60.2 ( ± 3.7) 107.6 ( ± 18.0)

*Significantly different at 0.05 level (2-tailed).

Physical Characterisation Results

Physical characteristics of junior male and female handball players.

Parameter

Male

(N=19)

Flexibility

Counter Movement Jump (cm)

Medicine Ball Throw (m)

Left Hand Grip Strength (kgs)

Right Hand Grip Strength (kgs)

18.8 ( ± 6.4)

29.2 ( ± 4.0)*

3.93 ( ± 0.62)*

38.3 ( ± 8.1)*

37.9 ( ± 8.8)*

1.15 ( ± 0.09)* 5m Speed (seconds)

10m Speed (seconds)

5-10-5 Pro Agility (seconds)

1.95 ( ± 0.11)*

5.27 ( ± 0.26)*

20m Multi Stage Shuttle Run (shuttles) 106.2 ( ± 19.7)*

Estimated VO

2max

(ml·kg −1 ·min −1 ) 53.6 ( ± 5.6)*

*Significantly different at 0.05 level (2-tailed).

Female

(N=10)

23.1 ( ± 3.1)

24.2 ( ± 2.4)

3.04 ( ± 0.15)

29.7 ( ± 3.5)

26.6 ( ± 5.6)

1.25 ( ± 0.08)

2.14 ( ± 0.10)

5.89 ( ± 0.44)

71.2 ( ± 17.9)

44.3 ( ± 5.1)

Correlation Analysis

Correlation matrix of anthropometric test results of junior male and female handball players.

∑7

Parameter

Age

Height

Mass

P

R

P

R

P

R

P

R

Age

1

Height

.459

*

0.012

1

Mass

.489

**

0.007

.710

**

.000

1

R = Pearson's R, P = Sig (2-tailed).

* Correlation is significant at the 0.05 level (2-tailed).

** Correlation is significant at the 0.01 level (2-tailed).

∑7

-0.072

0.709

-.523

**

0.004

-0.044

0.82

1

Correlation Analysis

Correlation matrix of fitness test results of junior male and female handball players.

Age

Mass

∑7

CMJ

MBT

Variable

Grip Left

Grip Right

5m Speed

10m Speed

Agility

P

R

P

R

P

R

P

R

P

R

P

R

P

P

R

P

R

R

P

R

Age

1

Mass

.489

**

0.007

1

∑7

-0.072

0.709

-0.044

0.82

1

CMJ

.576

**

0.001

0.353

0.06

-.505

**

0.005

1

MBT

.537

**

0.003

.788

**

.000

-.419

*

0.024

.636

**

.000

1

Grip Left Grip Right 5m Speed 10m Speed Agility 20m MSFT

.629

**

.000

.776

**

.000

-0.348

0.065

.767

**

.000

.885

**

.000

1

.571

0.001

.759

**

.000

-.418

*

0.024

.710

**

.000

.899

**

.000

.911

.000

1

**

**

-0.002

0.991

-0.193

0.316

.462

*

0.012

-.462

*

0.012

-.410

0.027

-0.304

0.109

-.438

0.017

1

*

*

-0.185

0.337

-.371

*

0.048

.580

**

0.001

-.545

**

0.002

-.585

-.488

**

0.001

**

0.007

-.585

**

0.001

.899

**

.000

1

-0.031

0.875

-0.285

0.134

.783

**

.000

-.500

**

0.006

-.533

**

0.003

-.475

**

0.009

-.547

**

0.002

.639

**

.000

.696

**

.000

1

0.154

0.425

0.059

0.763

.631

**

.000

.373

*

0.046

.407

*

0.029

.394

*

0.034

.434

*

0.019

-0.226

0.239

-0.315

0.096

.638

**

.000

R = Pearson's R, P = Sig (2-tailed).

* Correlation is significant at the 0.05 level (2-tailed).

** Correlation is significant at the 0.01 level (2-tailed).

Physical Characterisation Comparison

Comparison of fitness test results to male and female world champions

Parameter

Age (yrs)

Height (cm)

Mass (kgs)

∑7 skinfolds (mm)

Flexibility

Counter Movement Jump (cm)

Medicine Ball Throw (m)

Left Hand Grip Strength (kgs)

Right Hand Grip Strength (kgs)

5m Speed (seconds)

10m Speed (seconds)

5-10-5 Pro Agility (seconds)

20m Multi Stage Shuttle Run (shuttles)

Estimated VO

2max

(ml·kg −1 ·min −1 )

Male Female

(N=19) (N=10)

16 ( ± 1.2) 15 ( ± 1.1)

174.1 ( ± 8.6) 161.7 ( ± 3.8)

64.4 ( ± 10.4) 60.2 ( ± 3.7)

62.8 ( ± 15.6) 107.6 ( ± 18.0)

18.8 ( ± 6.4) 23.1 ( ± 3.1)

29.2 ( ± 4.0)* 24.2 ( ± 2.4)

3.93 ( ± 0.62)* 3.04 ( ± 0.15)

38.3 ( ± 8.1)*

37.9 ( ± 8.8)*

29.7 (

26.6 (

±

±

3.5)

5.6)

1.15 ( ± 0.09)* 1.25 ( ± 0.08)

1.95 ( ± 0.11)* 2.14 ( ± 0.10)

5.27 ( ± 0.26)* 5.89 ( ± 0.44)

106.2 ( ± 19.7)* 71.2 ( ± 17.9)

53.6 ( ± 5.6)* 44.3 ( ± 5.1)

Elite

Male

29

174.5

77.2

44.2

32.1

44.6

5.70

54.0

44.9

1.08

1.75

4.76

136

61.3

Elite

Female

31

170.0

62.8

72.1

24.5

27.7

3.70

40.4

44.1

1.28

2.02

5.17

111

54.3

Results Comparison

V

O

2max

Pipes (1979) values ~58 ml/kg/min in elite pros

Alexander & Boreskie (1989)

V O

2max values ~53-55 ml/kg/min of elite senior players.

This study

V O

2max values ~44-54 ml/kg/min of junior players.

Handball

Racquetball

Squash

Ghosh et al (1993)

Junior female Indian players

V O

2max results of 44-46ml/kg/min

Mahoney & Sharp (1995) reported V O

2max values ~53 ml/kg/min of male Irish elite junior players.

Study 2

Physiological Profiling

Methods

Physiological Characterisation of Players During Games:

• A Polar heart rate team sport system, (Polar Electro Kempele, Finland) was utilised to monitor heart rate response. Heart rate signal was recorded and stored at 5 second intervals.

• Eight players were monitored (4 male and 4 female), the monitor was placed on the athletes’ chest in the changing rooms prior to their match.

• Once the games were completed, the data from the belts were downloaded to a computer using the Polar Precision 5.0 software (Polar, Kempele, Finland).

• Data were processed and expressed in absolute values and reported in relation to the individual maximal heart rate (HR max

) of the participants.

Physiological Assessment Results

Player heart rate profiles during a handball match between players A and B.

Physiological Assessment Results

Game heart rate response of male and female Irish handball players.

Physiological Assessment Results

Match heart rate response of male and female Irish handball players.

89-91%

?

Results Comparison

Montgomery (1981)

87% of max HR

Racquetball

Alexander & Boreskie (1989)

80-88% of max HR

Elite pros

Handball

Loftin et al (1996)

85% max HR

Masters level

Squash

Chin et al (1995)

88-92% of max HR male and female

International players

Reilly (1990)

88% of max HR

Recreational players

Study 3

Match Activity Analysis

Methods

Match Activity Analysis:

• Eight matches (four female and four male) were recorded using a Panasonic HDC-

HS60 video recording camera mounted upon a tripod at the rear of the handball court.

• The video footage was then uploaded into dartfish (Switzerland) performance analysis software version 5.5.

• A tagging panel was designed to record match variables e.g. match length, game length, number of rallies, number of shots per rally, rally time and rest duration.

• To determine game and match time, all player timeouts and rest between games were extracted to give a more accurate reflection of the demands placed on the players.

Match Activity Results

Handball match activity characteristics of female and male junior

Irish handball players.

Variable

Match length (mm:ss)

Game 1 length (mm:ss)

Game 2 length (mm:ss)

Shots per game

Rallies per match

Shots per rally

Average rally duration (s)

Average rest duration (s)

Work to rest ratio

Active time (%)

Shots per rally time (s-

1

)

Female (n=4)

35:12 ( ± 07:09)

13:36 ( ± 04:52)

21:37 ( ± 04:11)

494 ( ± 112)

112 ( ± 18)

4.4 ( ± 0.4)

9.3 ( ± 0.96)

11.1 ( ± 1.7)

1:1.2 ( ± 0.11)

49.8 ( ± 3.5)

2.1 ( ± 0.08)

Male (n=4)

41:53 ( ± 06:34)

19:20 ( ± 05:53)

22:33 ( ± 02:24)

624 ( ± 38)

139 ( ± 7)*

4.5 ( ± 0.2)

9.8 ( ± 3.0)

10.6 ( ± 1.3)

1:1.1 ( ± 0.42)

47.5 ( ± 4.4)

2.2 ( ± 0.76)

*Significantly different at 0.05 level (2-tailed).

Alexander & Boreskie

(1989)

Active time= 49%

Rally times = 9 secs

Shots per rally = (5.1-6.1)

Rest time = 11 secs

Sport Activity Comparisons

Montpetit (1990)

Active time= 49.1-53.7%

Rally times = 6.9-7.2 secs

Shots per rally = 3-3.1

Rest time = 7.2 secs

Squash

Faria and Lewis (1982)

90% rallies <10 secs active time = 32%

Handball Racquetball

Francis (1952)

Active Time = 59%

Rally times = 10.8 secs

Rest time = 8.7 secs

Montgomery (1981)

Active time = 52%

Rally time = 7.7 secs

Conclusions

Conclusions

• Physical characterisation revealed that male players were significantly faster, stronger, more powerful, greater agility and aerobically fitter than their female colleagues.

• Game is intermittent in nature with demands placed on the alactic and lactic anaerobic systems.

• Strong correlations with body composition and speed, power agility and aerobic endurance fitness components.

• High aerobic fitness a key component to ensure a high intensity match play.

• Players V O

2max results similar to those of junior male and female squash and badminton players.

• Coaches should therefore design training regimes to induce the development of a sufficient endurance capacity.

• Match activity analysis revealed that matches lasted approximately 35-42 minutes.

• Heart rate response averaged ~90% of maximum heart rate during matches for both sexes.

• To complement aerobic capacity training coaches should also base training on a large number of competitive actions of high intensity but short duration that reflect the intermittent nature of the sport.

Reflections/Limitations

• More match activity and heart rate analysis required.

• No anaerobic capacity tests were conducted.

• More in depth strength and power profiling required.

• Development of a handball specific test protocol.

Future Work

• Profile senior elite male & female players.

• Profile singles vs doubles matches.

• Profile 60 x 30 games.

• Use of GPS units (which are fitted with gyroscopes and accelerometers) could be used to give a truer reflection of the movement demands required in the game of handball.

• Utilising portable metabolic carts in conjunction with lactate analysis during games may give us more information on the metabolic demands required during matches.

References

• Alexander, J.L., Borenskie, L. (1989). An analysis of fitness and time-motion characteristics of handball. American Journal of Sports

Medicine, 17, 76-82.

• Chin M, Steininger, Clark C.R, Wong A.S.K. (1995). Physiological profiles and sport specific fitness of Asian elite squash players. Br J Sports

Med, 29, 158–164.

• Faria, I. E., Lewis. F. (1982). Metabolic response to playing racquetball. Med Sci Sports 1-4.

• Francis, R.J., (1952). An analysis of certain time, motion, and time-motion factors in eight athletic sports. PhD Dissertation Ohio State

University.

• Loftin, M. (1986). Heart rate response during handball singles match-play and selected physical fitness components of experienced male handball players. The Journal of Sports Medicine and Physical Fitness, 36(2), 95-99.

• Mahoney, C.A. and Sharp, N.C.C. (1995). The physiological proļ¬le of elite junior squash players. In Science and Racket Sports (edited by T.

Reilly, M. Hughes and A. Lees), pp. 76–80. London.

• Montpetit, R. (1990). Applied Physiology of Squash, Sports Medicine, 10, 31-4.

• Montgomery, D. L., (1981). Heart rate response to racquetball. Physician Sportsmed, 9, (10), 59-62.

• O'Flynn, J., Baldwin, A. (2008). The history of the Gaelic Athletic Association in Canada. Trafford Publishing, p176.

• Pipes, T.V. (1979). The racquetball pro, a physiological profile. Physician Sportsmed (7:10), 91-94.

• Reilly, T. (1990). The racket sports. In Physiology of Sports (edited by T. Reilly, N. Secher, P. Snell and C. Williams), pp. 337–370. London.

Acknowledgements

Thank You

For Listening

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