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2014). Also, by measuring the spatial-temporal
relations that players explore during cooperative and
competitive interactions in specific game
environments allows performance analysts and
coaches to measure the tactical capabilities of
players and teams and, also, to evaluate the level of
transfer of players and teams’ performance from
specific training exercises to competition. For
instance, by measuring the preferential couplings
between players over the game, it is possible to
identify the spatial-temporal relations that constraint
game dynamics of a certain team playing against
different opponents (Folgado et al., 2014), and
compare them with the same relations that occur on
the training sessions. Also it is possible to measure
how the manipulation of practice tasks can
constraint the players and team behaviors (Travassos
et al., 2014). With this information coaches can
improve the evaluation of the team and design most
appropriate practice tasks for the needs of their
teams.
REFERENCES
Alamar, B. and Mehrotra, V. 2011. Beyond ‘Moneyball’:
The rapidly evolving world of sports analytics, Part I.
Analytics Magazine [Online], September/October.
Available: http://www.analytics-magazine.org/
septemberoctober-2011/405-beyond-moneyball-the-
rapidly-evolving-world-of-sports-analytics-part-i.html.
Dicks, M., Button, C. and Davids, K. 2010. Examination
of gaze behaviors under in situ and video simulation
task constraints reveals differences in information
pickup for perception and action. Attention,
Perception, and Psychophysics, 72, 706-720.
Duarte, R., Travassos, B., Araújo, D. and Richardson, M.
2013. The influence of manipulating the defensive
playing method on collective synchrony of football
teams. In: PETERS, D. and O'DONOGHUE, P. (eds.)
Performance Analysis of Sport IX. New York:
Routledge.
Folgado, H., Duarte, R., Fernandes, O. and Sampaio, J.
2014. Competing with Lower Level Opponents
Decreases Intra-Team Movement Synchronization and
Time-Motion Demands during Pre-Season Soccer
Matches. PloS one, 9, e97145.
Malta, P. and Travassos, B. 2014. Characterization of the
defense-attack transition of a soccer team.
Motricidade, 10, 27-37.
Pinder, R., Davids, K., Renshaw, I. and Araújo, D. 2011.
Manipulating informational constraints shapes
movement reorganization in interceptive actions.
Attention, Perception, and Psychophysics, 1-13.
Stoffregen, T., Bardy, B., Smart, L. and Pagulayan, R.
2003. On the nature and evaluation of fidelity in
virtual environments. In: Hettinger, L. J. and Haas, M.
W. (eds.) Virtual and adaptive environments:
Applications, implications, and human performance
issues. Mahwah, NJ: Lawrence Erlbaum Associates.
Travassos, B., Davids, K., Araujo, D. and Esteves, P. T.
2013. Performance analysis in team sports: Advances
from an Ecological Dynamics approach. International
Journal of Performance Analysis in Sport, 13, 83-95.
Travassos, B., Duarte, R., Vilar, L., Davids, K. and
Araújo, D. 2012. Practice task design in team sports:
Representativeness enhanced by increasing
opportunities for action. Journal of Sports Sciences,
30, 1447-1454.
Travassos, B., Vilar, L., Araújo, D. and Mcgarry, T. 2014.
Tactical performance changes with equal vs unequal
numbers of players in small-sided football games.
International Journal of Performance Analysis in
Sport, 14, 594-605.
Vilar, L., Araújo, D., Davids, K. and Renshaw, I. 2012.
The need for ‘representative task designs’ in
evaluating efficacy of skills tests in sport: A comment
on Russell, Benton and Kingsley (2010). Journal of
Sports Sciences, 30, 1727-1730.