B. , G. Lombardi, G. Colombini, A. And-lippi, and G. , Analytical variability in sport hematology: its importance in an antidoping setting, Clinical Chemistry and Laboratory Medicine, vol.49, pp.779-782, 2011.

B. , J. Hoffmann, M. F. Ashenden, M. Nordsborg, N. B. Karstoft et al., Acute hyperhydration reduces athlete biological passport off-hr score, Scandinavian Journal of Medicine & Science in Sports, vol.26, pp.338-347, 2016.

C. , E. M. Finch, C. A. Sobel, R. E. And-zettner, and A. , Population norms for serum ferritin, The Journal of Laboratory and Clinical Medicine, vol.126, pp.88-94, 1995.

R. C. Bradley, Basic Properties of Strong Mixing Conditions, Dependence in Probability and Statistics. A Survey of Recent Results. Oberwolfach, pp.165-192, 1985.

S. , Th´eorèmesTh´eorèmes limites fonctionnels et estimation de la densit´edensit´e spectrale pour des suites stationnaires, 2009.

J. Dedecker, An Empirical Central Limit Theorem for Intermittent Maps, Probab. Theory Rel. Fields, vol.148, pp.177-195, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00685936

J. Dedecker, H. Dehling, and M. S. Taqqu, Weak Convergence of the Empirical Process of Intermittent Maps in L 2 under Long-Range Dependence, Stochastics and Dynamics, vol.15, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00903837

J. Dedecker, S. Goüezel, and F. Merlevède, Some Almost Sure Results for Unbounded Functions of Intermittent Maps and Their Associated Markov Chains, Ann. Inst. Henri Poincar´ePoincar´e Probab. Statist, vol.46, pp.796-821, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00402864

J. Dedecker and F. Merlevède, A Deviation Bound for ?-Dependent Sequences with Applications to Intermittent Maps, Stochastics and Dynamics, vol.17, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01259827

J. Dedecker and C. Prieur, New Dependence Coefficients. Examples and Applications to Statistics, Probab. Theory Rel. Fields, vol.132, pp.203-236, 2005.

J. Dedecker and C. Prieur, An Empirical Central Limit Theorem for Dependent Sequences, Stochastic Process. Appl, vol.117, pp.121-142, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00685975

J. Dedecker and C. Prieur, Some Unbounded Functions of Intermittent Maps for Which the Central Limit Theorem Holds, ALEA Lat. Am. J. Probab. Math. Statist, vol.5, pp.29-45, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00685955

J. Dedecker and E. Rio, On Mean Central Limit Theorems for Stationary Sequences, Ann. Inst. Henri Poincar´ePoincar´e Probab. Statist, vol.44, pp.693-726, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00672866

H. Dehling and R. Fried, Asymptotic Distribution of Two-Sample Empirical U-Quantiles with Applications to Robust Tests for Shifts in Location, J. Multivar. Anal, vol.105, pp.124-170, 2012.

H. Dehling, A. Rooch, and M. S. Taqqu, Nonparametric Change-Point Tests for Long-Range Dependent Data, Scand. J. Statist, vol.40, pp.153-173, 2013.

I. Dewan and B. L. Prakasa-rao, Mann-Whitney Test for Associated Sequences, Ann. Inst. Statist. Math, vol.55, pp.111-119, 2003.

S. Goüezel, Central Limit Theorems and Stable Laws for Intermittent Maps, Probab. Theory Rel. Fields, vol.128, pp.82-122, 2004.

C. Liverani, B. Saussol, and S. Vaienti, A Probabilistic Approach to Intermittency, Ergodic Theory Dynam. Systems, vol.19, pp.671-685, 1999.

E. Rio, Th´eorieTh´eorie asymptotique des processus aíeatoires faiblement d ´ependants, Math´ematiquesMath´ematiques et Applications, vol.31, 2000.

M. Rosenblatt, A Central Limit Theorem and a Strong Mixing Condition, Proc. Nat. Acad. Sci. USA, vol.42, pp.43-47, 1956.

R. J. Serfling, The Wilcoxon Two-Sample Statistic on Strongly Mixing Processes, Ann. Math. Statist, vol.39, pp.1202-1209, 1968.

, MATHEMATICAL METHODS OF STATISTICS, vol.26, issue.2, 2017.

A. M. References-batterham and W. G. Hopkins, Making meaningful inferences about magnitudes, International Journal of Sports Physiology and Performance, vol.1, issue.1, pp.50-57, 2006.

G. Berthelot, S. Len, P. Hellard, M. Tafflet, M. Guillaume et al., Exponential growth combined with exponential decline explains lifetime performance evolution in individual and human species, Age, vol.34, issue.4, pp.1001-1009, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01724284

J. Bourbousson, G. Poizat, J. Saury, and C. Seve, Team coordination in basketball: Description of the cognitive connections among teammates, Journal of Applied Sport Psychology, vol.22, issue.2, pp.150-166, 2010.

B. Cunniffe, W. Proctor, J. S. Baker, and B. Davies, An evaluation of the physiological demands of elite rugby union using Global Positioning System tracking software, Journal of Strength and Conditioning Research, vol.23, issue.4, pp.1195-1203, 2009.

J. Duch, J. S. Waitzman, and L. A. Amaral, Quantifying the performance of individual players in a team activity, PloS One, vol.5, issue.6, 2010.

D. W. Eccles and G. Tenenbaum, Why an expert team is more than a team of experts: A social-cognitive conceptualization of team coordination and communication in sport, Journal of Sport and Exercise Psychology, vol.26, issue.4, pp.542-560, 2004.

K. Fransen, S. Decroos, N. Vanbeselaere, G. Vande-broek, B. De-cuyper et al., Is team confidence the key to success? The reciprocal relation between collective efficacy, team outcome confidence, and perceptions of team performance during soccer games, Journal of Sports Sciences, pp.1-13, 2014.

, Rugby selections and performance 663

T. J. Gabbett, Science of rugby league football: A review, Journal of Sports Sciences, vol.23, issue.9, pp.961-976, 2005.

T. J. Gabbett, Influence of fatigue on tackling technique in rugby league players, Journal of Strength and Conditioning Research, vol.22, issue.2, pp.625-632, 2008.

T. Gabbett and P. Ryan, Tackling technique, injury risk, and playing performance in high-performance collision sport athletes, International Journal of Sports Science and Coaching, vol.4, issue.4, pp.521-533, 2009.

R. Guimerà, B. Uzzi, J. Spiro, and L. A. Amaral, Team assembly mechanisms determine collaboration network structure and team performance, Science, issue.5722, pp.697-702, 2005.

S. Hendricks and M. I. Lambert, Theoretical model describing the relationship between the number of tackles in which a player engages, tackle injury risk and tackle performance, Journal of Sports Science & Medicine, vol.13, issue.3, pp.715-717, 2014.

S. Hendricks, B. Matthews, B. Roode, and M. Lambert, Tackler characteristics associated with tackle performance in rugby union, European Journal of Sport Science, vol.14, issue.8, pp.753-762, 2014.

S. Hendricks, B. Roode, B. Matthews, and M. Lambert, Defensive strategies in rugby union, Perceptual and Motor Skills, vol.117, issue.1, pp.65-87, 2013.

S. Hendricks, K. Till, J. C. Brown, and B. Jones, Rugby union needs a contact skill-training programme, British Journal of Sports Medicine, 2016.

J. Heuzé, N. Raimbault, and P. Fontayne, Relationships between cohesion, collective efficacy and performance in professional basketball teams: An examination of mediating effects, Journal of Sports Sciences, vol.24, issue.1, pp.59-68, 2006.

W. G. Hopkins, S. W. Marshall, A. M. Batterham, and J. Hanin, Progressive statistics for studies in sports medicine and exercise science, Medicine and Science in Sports and Exercise, vol.41, issue.1, pp.3-13, 2009.

S. Kozub and J. Mcdonnell, Exploring the relationship between cohesion and collective efficacy in rugby teams, Journal of Sport Behaviour, vol.23, issue.2, pp.120-129, 2000.

M. Lacome, J. Piscione, J. Hager, and M. Bourdin, A new approach to quantifying physical demand in rugby union, Journal of Sports Sciences, vol.32, issue.3, pp.290-300, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00926860

F. M. Leo, P. A. Sanchez-miguel, D. Sanchez-oliva, D. Amado, and T. Garcia-calvo, Analysis of cohesion and collective efficacy profiles for the performance of soccer players, Journal of Human Kinetics, vol.39, pp.221-229, 2013.

B. Lim and K. J. Klein, Team mental models and team performance: A field study of the effects of team mental model similarity and accuracy, Journal of Organizational Behavior, vol.27, issue.4, pp.403-418, 2006.

S. Mellalieu, G. Trewartha, and K. Stokes, Science and rugby union, Journal of Sports Sciences, vol.26, issue.8, pp.791-794, 2008.

N. D. Myers, C. A. Payment, and D. L. Feltz, Reciprocal relationships between collective efficacy and team performance in women's Ice Hockey, Group Dynamics: Theory, Research, and Practice, vol.8, pp.182-195, 2004.

G. Palla, A. Barabási, and T. Vicsek, Quantifying social group evolution, Nature, vol.446, issue.7136, pp.664-667, 2007.

A. Sedeaud, A. Marc, J. Schipman, M. Tafflet, J. Hager et al., How they won Rugby World cup through height, mass and collective experience, British Journal of Sports Medicine, vol.46, issue.8, pp.580-584, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01778383

N. Sewry, M. Lambert, B. Roode, B. Matthews, and S. Hendricks, The relationship between playing situation, defence and tackle technique in rugby union, International Journal of Sports Science & Coaching, vol.10, issue.6, pp.1115-1128, 2015.

D. A. Shearer, Collective efficacy at the Rugby World Cup 2015-The role of imagery and observation, European Journal of Sport Science, vol.15, issue.6, pp.530-535, 2015.

A. D. Stajkovic, D. Lee, and A. J. Nyberg, Collective efficacy, group potency, and group performance: Meta-analyses of their relationships, and test of a mediation model, The Journal of Applied Psychology, vol.94, issue.3, pp.814-828, 2009.

P. Villepreux, Formation au rugby de movement, Editions Cépadus, 1993.

M. Walsh, B. Young, B. Hill, K. Kittredge, and T. Horn, The effect of ball-carrying technique and experience on sprinting in rugby union, Journal of Sports Sciences, vol.25, issue.2, pp.185-192, 2007.

C. B. Watson, M. M. Chemers, and N. Preiser, Collective efficacy: A multilevel analysis, Personality and Social Psychology Bulletin, vol.27, issue.8, pp.1057-1068, 2001.

K. Wheeler and M. Sayers, Contact skills predicting tacklebreaks in rugby union, International Journal of Sports Science & Coaching, vol.4, issue.4, pp.535-544, 2009.

J. Whitfield, Collaboration: Group theory, Nature, vol.455, issue.7214, pp.720-723, 2008.

E. M. Winter, G. A. Abt, and A. M. Nevill, Metrics of meaningfulness as opposed to sleights of significance, Journal of Sports Sciences, vol.32, issue.10, pp.901-902, 2014.

S. Wuchty, B. F. Jones, and B. Uzzi, The increasing dominance of teams in production of knowledge, Science, issue.5827, pp.1036-1039, 2007.

B. Millington and R. Millington, The Datafication of Everything": Toward a Sociology of Sport and Big Data, Sociol Sport J, vol.32, issue.2, pp.140-60, 2015.

R. Rein and D. Memmert, Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. SpringerPlus, vol.5, p.1410, 2016.

J. Antero, G. Saulière, A. Marck, and J. Toussaint, A Medal in the Olympics Runs in the Family: A Cohort Study of Performance Heritability in the Games History, Front Physiol, vol.9, 2018.

J. Antero-jacquemin, F. D. Desgorces, F. Dor, A. Sedeaud, A. Haïda et al., Row for Your Life: A Century of Mortality Follow-Up of French Olympic Rowers, PLOS ONE, vol.9, issue.11, p.113362, 2014.

J. Antero-jacquemin, G. Rey, A. Marc, F. Dor, A. Haïda et al., Mortality in Female and Male French Olympians: A 1948-2013 Cohort Study, Am J Sports Med, vol.43, issue.6, pp.1505-1517, 2015.

S. Antero-jacquemin-j-da, G. Berthelot, A. Marck, P. Noirez, A. Latouche et al., Learning From Leaders: Life-span Trends in Olympians and Supercentenarians, J Gerontol Ser A, vol.70, issue.8, pp.944-953, 2015.

G. Berthelot, S. Len, P. Hellard, M. Tafflet, M. Guillaume et al., Exponential growth combined with exponential decline explains lifetime performance evolution in individual and human species, AGE, vol.34, issue.4, pp.1001-1010, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01724284

G. Berthelot, A. Sedeaud, A. Marck, J. Antero-jacquemin, J. Schipman et al., Has Athletic Performance Reached its Peak, Sports Med Auckl NZ, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01769506

A. Haïda, F. Dor, M. Guillaume, L. Quinquis, A. Marc et al., Environment and scheduling effects on sprint and middle distance running performances, PloS One, vol.8, issue.11, p.79548, 2013.

O. Hermine, G. Dine, V. Genty, L. Marquet, G. Fumagalli et al., Eighty percent of French sport winners in Olympic, World and Europeans competitions have mutations in the hemochromatosis HFE gene, Biochimie, vol.119, pp.1-5, 2015.

A. Marc, A. Sedeaud, M. Guillaume, M. Rizk, J. Schipman et al., Marathon progress: demography, morphology and environment, J Sports Sci, vol.32, issue.6, pp.524-556, 2014.
DOI : 10.1080/02640414.2013.835436
URL : https://hal.archives-ouvertes.fr/hal-01774199

A. Marck, J. Antero, G. Berthelot, G. Saulière, J. Jancovici et al., Are We Reaching the Limits of Homo sapiens? Front Physiol, vol.8, 2017.
DOI : 10.3389/fphys.2017.00812
URL : https://www.frontiersin.org/articles/10.3389/fphys.2017.00812/pdf

A. Marck, G. Berthelot, V. Foulonneau, A. Marc, J. Antero-jacquemin et al., Age-Related Changes in Locomotor Performance Reveal a Similar Pattern for Caenorhabditis elegans, Mus domesticus, Canis familiaris, Equus caballus, and Homo sapiens, J Gerontol Ser A, vol.72, issue.4, pp.455-63, 2017.
DOI : 10.1093/gerona/glw136
URL : https://hal.archives-ouvertes.fr/hal-01792239

E. Marijon, M. Tafflet, J. Antero-jacquemin, E. Helou, N. Berthelot et al., Mortality of French participants in the Tour de France, Eur Heart J, vol.34, issue.40, pp.3145-50, 1947.
URL : https://hal.archives-ouvertes.fr/hal-01774581

A. Sedeaud, H. Vidalin, M. Tafflet, A. Marc, and J. Toussaint, Rugby morphologies: "bigger and taller", reflects an early directional selection, J Sports Med Phys Fitness, vol.53, issue.2, pp.185-91, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01778398

A. Sedeaud, A. Marc, J. Schipman, M. Tafflet, J. Hager et al., How they won Rugby World Cup through height, mass and collective experience, Br J Sports Med, vol.46, issue.8, pp.580-584, 2012.
DOI : 10.1136/bjsports-2011-090506
URL : https://hal.archives-ouvertes.fr/hal-01778383

A. Sedeaud, A. Marc, A. Marck, F. Dor, J. Schipman et al., BMI, a performance parameter for speed improvement, PloS One, vol.9, issue.2, p.90183, 2014.
DOI : 10.1371/journal.pone.0090183
URL : https://hal.archives-ouvertes.fr/hal-01769542

A. Sedeaud, A. Marc, J. Schipman, K. Schaal, M. Danial et al., Secular trend: morphology and performance, J Sports Sci, vol.32, issue.12, pp.1146-54, 2014.
DOI : 10.1080/02640414.2014.889841
URL : https://hal.archives-ouvertes.fr/hal-01778415

S. Bromley, M. Drew, S. Talpey, A. Mcintosh, and C. Finch, Collecting Health and Exposure Data in Australian Olympic Combat Sports: Feasibility Study Utilizing an Electronic System, JMIR Hum Factors, vol.5, issue.4, p.27, 2009.
DOI : 10.2196/humanfactors.9541
URL : http://preprints.jmir.org/preprint/download/9541/accepted/pdf

A. Hecksteden, O. Faude, T. Meyer, and L. Donath, How to Construct, Conduct and Analyze an Exercise Training Study?, Front Physiol, vol.9, p.1007, 2018.
DOI : 10.3389/fphys.2018.01007
URL : https://www.frontiersin.org/articles/10.3389/fphys.2018.01007/pdf

D. Bishop, An applied research model for the sport sciences, Sports Med Auckl NZ, vol.38, issue.3, pp.253-63, 2008.
DOI : 10.2165/00007256-200838030-00005

R. J. Aughey, M. Buchheit, L. A. Garvican-lewis, G. D. Roach, C. Sargent et al., Yin and yang, or peas in a pod? Individual-sport versus team-sport athletes and altitude training, Br J Sports Med, vol.47, issue.18, pp.1150-1154, 2013.
DOI : 10.1136/bjsports-2013-092764
URL : https://bjsm.bmj.com/content/47/18/1150.full.pdf

A. Marc, A. Sedeaud, J. Schipman, J. J. Antero, G. Saulière et al., Geographic enrollment of the top 100 in athletics running events from 1996 to 2012, J Sports Med Phys Fitness, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01771672

A. Marc, A. Sedeaud, J. Schipman, G. Saulière, and J. F. Toussaint, Age and Performance from 10 Seconds to a 6-Days Race, J Athl Enhanc, vol.7, issue.4, pp.1-5, 2018.
DOI : 10.4172/2324-9080.1000298

D. Araújo and K. Davids, Team Synergies in Sport: Theory and Measures. Front Psychol, vol.7, 2016.

R. Duarte, D. Araújo, V. Correia, K. Davids, P. Marques et al., Competing together: Assessing the dynamics of team-team and player-team synchrony in professional association football, Hum Mov Sci, vol.32, issue.4, pp.555-66, 2013.

R. Duarte, D. Araújo, L. Freire, H. Folgado, O. Fernandes et al., Intra-and inter-group coordination patterns reveal collective behaviors of football players near the scoring zone, Hum Mov Sci, vol.31, issue.6, pp.1639-51, 2012.
DOI : 10.1016/j.humov.2012.03.001

D. Memmert, K. Lemmink, and J. Sampaio, Current Approaches to Tactical Performance Analyses in Soccer Using Position Data, vol.47, pp.1-10, 2017.
DOI : 10.1007/s40279-016-0562-5

C. S. Kite and A. Nevill, The Predictors and Determinants of Inter-Seasonal Success in a Professional Soccer Team, J Hum Kinet, vol.58, pp.157-67, 2017.

A. Tenga, I. Holme, L. T. Ronglan, and R. Bahr, Effect of playing tactics on goal scoring in Norwegian professional soccer, J Sports Sci, vol.28, issue.3, pp.237-281, 2010.

J. Castellano, D. Casamichana, and C. Lago, The Use of Match Statistics that Discriminate Between Successful and Unsuccessful Soccer Teams, J Hum Kinet, vol.31, pp.139-186, 2012.

C. Lago-peñas and A. Dellal, Ball Possession Strategies in Elite Soccer According to the Evolution of the Match-Score: the Influence of Situational Variables, J Hum Kinet, 2010.

, Sep, vol.30, issue.1, pp.93-100

J. Oberstone, Differentiating the Top English Premier League Football Clubs from the Rest of the Pack: Identifying the Keys to Success, J Quant Anal Sports, vol.5, issue.3, 2009.

K. Harrop and A. Nevill, Performance indicators that predict success in an English professional League One soccer team, Int J Perform Anal Sport, vol.14, issue.3, pp.907-927, 2014.

D. Coutinho, B. Gonçalves, B. Travassos, E. Abade, D. P. Wong et al., Effects of pitch spatial references on players' positioning and physical performances during football small-sided games, J Sports Sci, vol.0, issue.0, pp.1-7, 2018.

M. Lacome, J. Piscione, J. Hager, and C. Carling, Fluctuations in running and skill-related performance in elite rugby union match-play, Eur J Sport Sci, vol.17, issue.2, pp.132-175, 2017.

M. Lacome, J. Piscione, J. Hager, and M. Bourdin, A new approach to quantifying physical demand in rugby union, J Sports Sci, vol.32, issue.3, pp.290-300, 201402.
URL : https://hal.archives-ouvertes.fr/hal-00926860

B. Cunniffe, W. Proctor, J. S. Baker, and B. Davies, An evaluation of the physiological demands of elite rugby union using Global Positioning System tracking software, J Strength Cond Res Natl Strength Cond Assoc, vol.23, issue.4, pp.1195-1203, 200907.

B. T. Pollard, A. N. Turner, R. Eager, D. J. Cunningham, C. J. Cook et al., The ball in play demands of international rugby union, J Sci Med Sport, 2018.

S. Hendricks, B. Matthews, B. Roode, and M. Lambert, Tackler characteristics associated with tackle performance in rugby union, Eur J Sport Sci, vol.14, issue.8, pp.753-762, 2014.

S. Hendricks, B. Roode, B. Matthews, and M. Lambert, Defensive Strategies in Rugby Union, Percept Mot Skills, vol.117, issue.1, pp.65-87, 2013.

N. Sewry, M. Lambert, B. Roode, B. Matthews, and S. Hendricks, The Relationship Between Playing Situation, Defence and Tackle Technique in Rugby Union, Int J Sports Sci Coach, vol.10, issue.6, pp.1115-1128, 2015.

M. Walsh, B. Young, B. Hill, K. Kittredge, and T. Horn, The effect of ball-carrying technique and experience on sprinting in rugby union, J Sports Sci, vol.25, issue.2, pp.185-92, 2007.

N. Robinson, P. Sottas, and Y. O. Schumacher, The Athlete Biological Passport: How to Personalize Anti-Doping Testing across an Athlete's Career? Acute Top Anti-Doping, vol.62, pp.107-125, 2017.

G. Lombardi, P. Lanteri, A. Colombini, G. Lippi, and G. Banfi, Stability of haematological parameters and its relevance on the athlete's biological passport model, Sports Med Auckl NZ, vol.41, issue.12, pp.1033-1075, 2011.

E. C. Lee, M. S. Fragala, S. A. Kavouras, R. M. Queen, J. L. Pryor et al., Biomarkers in Sports and Exercise: Tracking Health, Performance, and Recovery in Athletes, J Strength Cond Res, vol.31, issue.10, pp.2920-2957, 2017.

P. Sottas, N. Robinson, O. Rabin, and M. Saugy, The athlete biological passport, Clin Chem, vol.57, issue.7, pp.969-76, 2011.
URL : https://hal.archives-ouvertes.fr/pasteur-02136146

N. Robinson, P. Sottas, P. Mangin, and M. Saugy, Bayesian detection of abnormal hematological values to introduce a no-start rule for heterogeneous populations of athletes, Haematologica, vol.92, issue.8, pp.1143-1147, 2007.

P. Sottas, N. Baume, C. Saudan, C. Schweizer, M. Kamber et al., Bayesian detection of abnormal values in longitudinal biomarkers with an application to T/E ratio, Biostat Oxf Engl, vol.8, issue.2, pp.285-96, 2007.

N. Baume, C. Saudan, A. Desmarchelier, E. Strahm, P. Sottas et al., Use of isotope ratio mass spectrometry to detect doping with oral testosterone undecanoate: inter-individual variability of 13C/12C ratio, Steroids, vol.71, issue.5, pp.364-70, 2006.

P. Sottas, N. Robinson, G. S. Taroni, F. Kamber, M. Mangin et al., Statistical Classification of Abnormal Blood Profiles in Athletes, Int J Biostat, vol.2, issue.1, 2006.

G. Banfi, Limits and pitfalls of Athlete's Biological Passport, Clin Chem Lab Med, vol.49, issue.9, pp.1417-1438, 2011.

L. Malcovati, C. Pascutto, and M. Cazzola, Hematologic passport for athletes competing in endurance sports: a feasibility study, Haematologica, vol.88, issue.5, pp.570-81, 2003.

F. Egger, T. Meyer, and A. Hecksteden, Interindividual Variation in the Relationship of Different Intensity Markers-A Challenge for Targeted Training Prescriptions, PLoS ONE, vol.11, issue.10, 2016.

M. Spencer, T. Losnegard, J. Hallén, and W. G. Hopkins, Variability and predictability of performance times of elite cross-country skiers, Int J Sports Physiol Perform, vol.9, issue.1, pp.5-11, 2014.

T. A. Haugen, P. A. Solberg, C. Foster, R. Morán-navarro, F. Breitschädel et al., Peak Age and Performance Progression in World-Class Track-and-Field Athletes, Int J Sports Physiol Perform, pp.1-24, 2018.

A. M. Batterham and W. G. Hopkins, Emergence of large treatment effects from small trials, JAMA, vol.309, issue.8, p.768, 2013.

G. Banfi, G. Lombardi, A. Colombini, and G. Lippi, Analytical variability in sport hematology: its importance in an antidoping setting, Clin Chem Lab Med, vol.49, issue.5, pp.779-782, 2011.

J. Bejder, M. F. Hoffmann, M. Ashenden, N. B. Nordsborg, K. Karstoft et al., Acute hyperhydration reduces athlete biological passport OFF-hr score, Scand J Med Sci Sports, vol.26, issue.3, pp.338-385, 2016.

E. M. Custer, C. A. Finch, R. E. Sobel, and A. Zettner, Population norms for serum ferritin, J Lab Clin Med, vol.126, issue.1, pp.88-94, 1995.

R. Damsgaard, T. Munch, J. Mørkeberg, S. P. Mortensen, and J. González-alonso, Effects of blood withdrawal and reinfusion on biomarkers of erythropoiesis in humans: Implications for anti-doping strategies, Haematologica, vol.91, issue.7, pp.1006-1014, 2006.

M. L. Eaton, Multivariate statistics: A vector space approach, JOHN WILEY SONS INC 605 THIRD AVE N Y NY 10158, p.512, 1983.

P. Embrechts, C. Klüppelberg, and T. Mikosch, Modelling extremal events: for insurance and finance, vol.33, 2013.

A. Gasull, J. A. López-salcedo, and F. Utzet, Maxima of Gamma random variables and other Weibull-like distributions and the Lambert$\backslash$varvec ${$W$}$ function, Test, vol.24, issue.4, pp.714-733, 2015.

A. Gasull, M. Jolis, and F. Utzet, On the norming constants for normal maxima, J Math Anal Appl, vol.422, issue.1, pp.376-396, 2015.

P. Hall, On the Rate of Convergence of Normal Extremes, J Appl Probab, vol.16, issue.2, pp.433-442, 1979.

A. Hecksteden, W. Pitsch, R. Julian, M. Pfeiffer, M. Kellmann et al., A New Method to Individualize Monitoring of Muscle Recovery in Athletes, Int J Sports Physiol Perform, pp.1-25, 2016.

A. Hecksteden, S. Skorski, S. Schwindling, D. Hammes, M. Pfeiffer et al., Blood-borne markers of fatigue in competitive athletes-results from simulated training camps, PloS One, vol.11, issue.2, p.148810, 2016.

M. F. Heisterberg, J. Fahrenkrug, P. Krustrup, A. Storskov, M. Kjaer et al., Extensive monitoring through multiple blood samples in professional soccer players, J Strength Cond Res, vol.27, issue.5, pp.1260-71, 2013.

R. Julian, T. Meyer, H. Fullagar, S. Skorski, M. Pfeiffer et al., Individual Patterns in Blood-Borne Indicators of Fatigue-Trait or Chance, J Strength Cond Res, vol.31, issue.3, pp.608-627, 2017.

L. M. Lobigs, P. Sottas, P. C. Bourdon, Z. Nikolovski, M. El-gingo et al., The use of biomarkers to describe plasma-, red cell-, and blood volume from a simple blood test, Am J Hematol, vol.92, issue.1, pp.62-69, 2017.

G. Lombardi, C. Ricci, and G. Banfi, Effects of winter swimming on haematological parameters, Biochem Medica, pp.71-79, 2011.

C. B. Malm, N. S. Khoo, I. Granlund, E. Lindstedt, and A. Hult, Autologous Doping with Cryopreserved Red Blood Cells-Effects on Physical Performance and Detection by Multivariate Statistics, PloS One, vol.11, issue.6, p.156157, 2016.

T. Meyer and S. Meister, Routine blood parameters in elite soccer players, Int J Sports Med, vol.32, issue.11, pp.875-81, 2011.

P. Nikolaidis, G. Ziv, R. Lidor, and M. Arnon, Inter-individual Variability in Soccer Players of Different Age Groups Playing Different Positions, J Hum Kinet, vol.40, pp.213-238, 2009.

R. Parisotto, C. J. Gore, K. R. Emslie, M. J. Ashenden, C. Brugnara et al., A novel method utilising markers of altered erythropoiesis for the detection of recombinant human erythropoietin abuse in athletes, Haematologica, vol.85, issue.6, pp.564-72, 2000.

T. Pottgiesser, P. Sottas, T. Echteler, N. Robinson, M. Umhau et al., Detection of autologous blood doping with adaptively evaluated biomarkers of doping: a longitudinal blinded study: ADAPTIVE MODEL AND BLOOD TRANSFUSION. Transfusion (Paris), vol.51, pp.1707-1722, 2011.

P. Sallet, E. Brunet-guedj, R. Mornex, and G. Baverel, Study of a new indirect method based on absolute norms of variation to detect autologous blood transfusion, Int J Hematol, vol.88, issue.4, p.362, 2008.

M. Saugy, C. Lundby, and N. Robinson, Monitoring of biological markers indicative of doping: the athlete biological passport, Br J Sports Med, vol.48, issue.10, pp.827-859, 2014.

K. Sharpe, M. J. Ashenden, and Y. O. Schumacher, A third generation approach to detect erythropoietin abuse in athletes, Haematologica, vol.91, issue.3, pp.356-63, 2006.

K. Sharpe, W. Hopkins, K. R. Emslie, C. Howe, G. J. Trout et al., Development of reference ranges in elite athletes for markers of altered erythropoiesis, Haematologica, vol.87, issue.12, pp.1248-57, 2002.

J. R. Silva, A. Rebelo, F. Marques, L. Pereira, A. Seabra et al., Biochemical impact of soccer: an analysis of hormonal, muscle damage, and redox markers during the season, Appl Physiol Nutr Metab Physiol Appl Nutr Metab, vol.39, issue.4, pp.432-440, 2014.

P. Thirup and . Haematocrit, Sports Med, vol.33, issue.3, pp.231-243, 2003.

D. A. Tufts, J. D. Haas, J. L. Beard, and H. Spielvogel, Distribution of hemoglobin and functional consequences of anemia in adult males at high altitude, Am J Clin Nutr, vol.42, issue.1, pp.1-11, 1985.

M. Zorzoli, A. Pipe, P. Y. Garnier, M. Vouillamoz, and J. Dvorak, Practical experience with the implementation of an athlete's biological profile in athletics, cycling, football and swimming, Br J Sports Med, vol.48, issue.10, pp.862-868, 2014.

M. Zorzoli and F. Rossi, Implementation of the biological passport: the experience of the International Cycling Union. Drug Test Anal, vol.2, pp.542-549, 2010.

B. Pistilli, C. Mazouni, A. Zingarello, M. Faron, M. Saghatchian et al., Individualized Prediction of Menses Recovery After Chemotherapy for Early-stage Breast Cancer: A Nomogram Developed From UNICANCER PACS04 and PACS05 Trials, Clin Breast Cancer, 2018.

W. G. Hopkins, S. W. Marshall, A. M. Batterham, and J. Hanin, Progressive statistics for studies in sports medicine and exercise science, Med Sci Sports Exerc, vol.41, issue.1, pp.3-13, 200901.

W. G. Hopkins, A. M. Batterham, F. M. Impellizzeri, D. B. Pyne, and D. S. Rowlands, Statistical perspectives: all together NOT, J Physiol, vol.589, pp.5327-5329, 2011.

A. M. Batterham and W. G. Hopkins, The case for magnitude-based inference, Med Sci Sports Exerc, vol.47, issue.4, p.885, 2015.

W. G. Hopkins and A. M. Batterham, Error Rates, Decisive Outcomes and Publication Bias with Several Inferential Methods, Sports Med Auckl NZ, vol.46, issue.10, pp.1563-73, 2016.

A. M. Batterham and W. G. Hopkins, Making meaningful inferences about magnitudes, Int J Sports Physiol Perform, vol.1, issue.1, pp.50-57, 200603.

W. G. Hopkins, J. A. Hawley, and L. M. Burke, Design and analysis of research on sport performance enhancement, Med Sci Sports Exerc, vol.31, issue.3, pp.472-85, 1999.

K. L. Sainani, The Problem with "Magnitude-based Inference, Med Sci Sports Exerc, vol.50, issue.10, pp.2166-76, 2018.

A. H. Welsh and E. J. Knight, Magnitude-based inference": a statistical review, Med Sci Sports Exerc, vol.47, issue.4, pp.874-84, 2015.

R. J. Barker and M. R. Schofield, Inference about magnitudes of effects, Int J Sports Physiol Perform, vol.3, issue.4, pp.547-57, 2008.

S. Montagna, J. Hopker, and . Bayesian, Approach for the Use of Athlete Performance Data Within Anti-doping, Front Physiol, vol.9, 2018.

R. Pla, A. Leroy, R. Massal, M. Bellami, F. Kaillani et al., A bayesian approach to quantify morphological impact on performance in international elite swimmingunder, Under review at BJSM)

J. B. Church, Basic Statistics for the Strength and Conditioning Professional, Strength Cond J, vol.30, issue.3, p.51, 2008.

T. A. Baumgartner and A. S. Jackson, Measurement for Evaluation in Physical Education and Exercise Science. WCB/McGraw-Hill, vol.536, 1999.

R. W. Pettitt, The standard difference score: a new statistic for evaluating strength and conditioning programs, J Strength Cond Res, vol.24, issue.1, pp.287-91, 2010.

A. Turner, J. Brazier, C. Bishop, S. Chavda, J. Cree et al., Data Analysis for Strength and Conditioning Coaches: Using Excel to Analyze Reliability, Differences, and Relationships, Strength Cond J, vol.37, issue.1, p.76, 2015.

E. P. Flanagan, The Effect Size Statistic-Applications for the Strength and Conditioning Coach, Strength Cond J, vol.35, issue.5, p.37, 2013.

R. C. Bradley, Basic Properties of Strong Mixing Conditions. A Survey and Some Open Questions, Probab Surv, vol.2, issue.0, pp.107-151, 2005.

D. S. , Théorèmes limites fonctionnels et estimation de la densité spectrale pour des suites stationnaires

J. Dedecker, H. G. Dehling, and M. Taqqu, Weak convergence of the empirical process of intermittent maps in L2 under long-range dependence, Stoch Dyn, vol.15, issue.2, p.29, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00903837

J. Dedecker and E. Rio, On mean central limit theorems for stationary sequences, Ann IHP Probab Stat, vol.44, issue.4, pp.693-726, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00672866

J. Dedecker and C. Prieur, Some Unbounded Functions of Intermittent Maps for Which the Central Limit Theorem Holds, Available from: /paper/Some-Unbounded-Functions-of-Intermittent-Maps-for-DedeckerPrieur/6f5c5817663a47cddc8e7e061cd1722f1a1a0f0e, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00685955

J. Dedecker, An empirical central limit theorem for intermittent maps. Probab Theory Relat Fields, vol.148, pp.177-95, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00685936

J. Dedecker and C. Prieur, New dependence coefficients. Examples and applications to statistics, vol.132, pp.203-239, 2005.

J. Dedecker and F. Merlevède, A deviation bound for ?-dependent sequences with applications to intermittent maps, Stoch Dyn, vol.17, issue.1, p.27, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01259827

J. Dedecker, S. Gouëzel, and F. Merlevède, Some almost sure results for unbounded functions of intermittent maps and their associated Markov chains, Ann IHP Probab Stat, vol.46, issue.3, pp.796-821, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00402864

J. Dedecker and C. Prieur, An empirical central limit theorem for dependent sequences, Stoch Process Their Appl, vol.117, pp.121-163, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00685975

M. Rosenblatt, A Central Limit Theorem and a Strong Mixing Condition, Proc Natl Acad Sci U S A, vol.42, issue.1, pp.43-50, 1956.

E. Rio, Théorie asymptotique des processus aléatoires faiblement dépendants

B. Heidelberg, Mathématiques et Applications). Available, 2000.

C. Liverani, B. Saussol, and S. Vaienti, A probabilistic approach to intermittency. Ergod Theory Dyn Syst, vol.19, pp.671-85, 1999.

S. Gouëzel, Central limit theorem and stable laws for intermittent maps, vol.128, pp.82-122, 2004.

I. Dewan and B. Rao, Mann-Whitney test for associated sequences, Ann Inst Stat Math, vol.55, issue.1, pp.111-120, 2003.

H. Dehling, A. Rooch, and M. S. Taqqu, Non-Parametric Change-Point Tests for Long-Range Dependent Data, Scand J Stat, vol.40, issue.1, pp.153-73, 2013.

H. Dehling and R. Fried, Asymptotic Distribution of Two-sample Empirical U-quantiles with Applications to Robust Tests for Shifts in Location, J Multivar Anal, 2012.

R. J. Serfling, The Wilcoxon Two-sample Statistic on Strongly Mixing processes, Ann Math Stat, vol.39, issue.4, pp.1202-1211, 1968.

A. Sedeaud, J. M. Sène, N. Krantz, G. Saulière, I. Moussa et al., L'importance de la quantification de la charge d'entraînement : exemple d'un modèle, Sci Sports, vol.33, issue.1, pp.22-32, 2018.

I. Moussa, G. Saulière, J. M. Sène, J. F. Toussaint, and A. Sedeaud, Training load, fatigue level and injury: a short report on French high-level judokas

C. Colombo, A. Sedeaud, and . L'individualisation,

C. Carling, L. Gall, F. Mccall, A. Nédélec, M. Dupont et al., Squad management, injury and match performance in a professional soccer team over a championship-winning season

, Eur J Sport Sci, vol.15, issue.7, pp.573-82, 2015.

M. Hägglund, M. Waldén, H. Magnusson, K. Kristenson, H. Bengtsson et al., Injuries affect team performance negatively in professional football: an 11-year follow-up of the UEFA Champions League injury study, Br J Sports Med, vol.47, issue.12, pp.738-780, 2013.

J. Windt, J. Ekstrand, K. M. Khan, A. Mccall, and B. D. Zumbo, Does player unavailability affect football teams' match physical outputs? A two-season study of the UEFA champions league, J Sci Med Sport, vol.21, issue.5, pp.525-557, 2018.

L. Parry and B. Drust, Is injury the major cause of elite soccer players being unavailable to train and play during the competitive season?, Phys Ther Sport, vol.7, issue.2, pp.58-64, 2006.

H. Bengtsson, J. Ekstrand, and M. Hägglund, Muscle injury rates in professional football increase with fixture congestion: an 11-year follow-up of the UEFA Champions League injury study, Br J Sports Med, vol.47, issue.12, pp.743-750, 2013.

T. Olds, The evolution of physique in male rugby union players in the twentieth century, J Sports Sci, vol.19, issue.4, pp.253-62, 2001.

S. Mellalieu, G. Trewartha, and K. Stokes, Science and rugby union, J Sports Sci, vol.26, issue.8, pp.791-794, 200806.

G. M. Duthie, A framework for the physical development of elite rugby union players, Int J Sports Physiol Perform, vol.1, issue.1, pp.2-13, 2006.

C. K. Argus, N. D. Gill, J. Keogh, W. G. Hopkins, and C. M. Beaven, Changes in strength, power, and steroid hormones during a professional rugby union competition, J Strength Cond Res, vol.23, issue.5, pp.1583-92, 2009.

J. A. Goncalo, E. Polman, and C. Maslach, Can confidence come too soon? Collective efficacy, conflict and group performance over time, Organ Behav Hum Decis Process, vol.113, issue.1, pp.13-24, 2010.

I. A. Greenlees, J. K. Graydon, and I. W. Maynard, The impact of collective efficacy beliefs on effort and persistence in a group task, J Sports Sci, vol.17, issue.2, pp.151-159, 1999.

F. M. Leo, P. A. Sanchez-miguel, D. Sanchez-oliva, A. D. Garcia-calvo, and T. , Analysis of Cohesion and Collective Efficacy Profiles for the Performance of Soccer Players, J Hum Kinet, vol.39, pp.221-229, 2013.

J. Whitfield, Collaboration: Group theory, Nature, vol.455, issue.7214, pp.720-723, 2008.

C. B. Watson, M. M. Chemers, and N. Preiser, Collective efficacy: A multilevel analysis, Pers Soc Psychol Bull, vol.27, issue.8, pp.1057-1068, 2001.

D. A. Shearer, Collective efficacy at the Rugby World Cup 2015-The role of imagery and observation, Eur J Sport Sci, vol.15, issue.6, pp.530-535, 2015.

A. D. Stajkovic, D. Lee, and A. J. Nyberg, Collective efficacy, group potency, and group performance: meta-analyses of their relationships, and test of a mediation model, J Appl Psychol, vol.94, issue.3, pp.814-828, 200905.

K. Wheeler and M. Sayers, Contact Skills Predicting Tackle-Breaks in Rugby Union, Int J Sports Sci Coach, vol.4, issue.4, pp.535-544, 2009.

W. Boughatts, Exploring the Relationship between Cohesion and Collective Efficacy in Tunisian Sports Teams: Validation of the Tunisian Version of the Collective Efficacy Questionnaire for Collective Sports, Int J Sci Cult Sport, vol.5, issue.22, pp.46-59, 2017.

P. Villepreux, Formation au rugby de mouvement. Editions Cépaduès, 1993.

T. J. Gabbett, Influence of fatigue on tackling technique in rugby league players, J Strength Cond Res Natl Strength Cond Assoc, vol.22, issue.2, pp.625-632, 200803.

K. Fransen, S. Decroos, N. Vanbeselaere, V. Broek, G. et al., Is team confidence the key to success? The reciprocal relation between collective efficacy, team outcome confidence, and perceptions of team performance during soccer games, J Sports Sci, vol.33, issue.3, pp.219-250, 2015.

E. M. Winter, G. A. Abt, and A. M. Nevill, Metrics of meaningfulness as opposed to sleights of significance, J Sports Sci, vol.32, issue.10, pp.901-902, 2014.

G. Palla, A. Barabási, and T. Vicsek, Quantifying social group evolution, Nature, vol.446, issue.7136, pp.664-671, 2007.
DOI : 10.1038/nature05670
URL : http://arxiv.org/pdf/0704.0744

J. Duch, J. S. Waitzman, and L. Amaral, Quantifying the performance of individual players in a team activity, PloS One, vol.5, issue.6, p.10937, 2010.

N. D. Myers, C. A. Payment, and D. L. Feltz, Reciprocal Relationships Between Collective Efficacy and Team Performance in Women's Ice Hockey, Group Dyn Theory Res Pract, vol.8, issue.3, p.182, 2004.

J. Heuzé, N. Raimbault, and P. Fontayne, Relationships between cohesion, collective efficacy and performance in professional basketball teams: An examination of mediating effects, J Sports Sci, vol.24, issue.1, pp.59-68, 2006.

S. Hendricks, K. Till, J. C. Brown, and B. Jones, Rugby union needs a contact skill-training programme, Br J Sports Med, pp.11-18, 2016.

T. J. Gabbett, Science of rugby league football: a review, J Sports Sci, vol.23, issue.9, pp.961-976, 200509.

T. Gabbett and P. Ryan, Tackling technique, injury risk, and playing performance in highperformance collision sport athletes, Int J Sports Sci Coach, vol.4, issue.4, pp.521-533, 2009.

R. Guimerà, B. Uzzi, J. Spiro, and L. Amaral, Team assembly mechanisms determine collaboration network structure and team performance, Science, vol.308, issue.5722, pp.697-702, 2005.

J. Bourbousson, G. Poizat, J. Saury, and C. Seve, Team Coordination in Basketball: Description of the Cognitive Connections Among Teammates, J Appl Sport Psychol, vol.22, issue.2, pp.150-66, 2010.

B. Lim and K. J. Klein, Team mental models and team performance: a field study of the effects of team mental model similarity and accuracy, J Organ Behav, vol.27, issue.4, pp.403-418, 2006.

S. Wuchty, B. F. Jones, and B. Uzzi, The increasing dominance of teams in production of knowledge, Science, vol.316, issue.5827, pp.1036-1039, 2007.

S. Hendricks and M. I. Lambert, Theoretical model describing the relationship between the number of tackles in which a player engages, tackle injury risk and tackle performance, J Sports Sci Med, vol.13, issue.3, p.715, 2014.

D. W. Eccles and G. Tenenbaum, Why an expert team is more than a team of experts: A social-cognitive conceptualization of team coordination and communication in sport, J Sport Exerc Psychol, vol.26, issue.4, pp.542-560, 2004.

F. Marcos, P. Miguel, D. S. Oliva, and T. G. Calvo, Interactive effects of team cohesion on perceived efficacy in semi-professional sport, J Sports Sci Med, vol.9, issue.2, p.320, 2010.

A. Sedeaud, G. Saulière, L. Marquet, D. Vecchio, S. Bar-hen et al., Collective effectiveness in the XV de France: selections and time matter, Eur J Sport Sci, vol.17, issue.6, pp.656-64, 2017.

D. Oliver and M. N. Fienen, Importance of Teammate Fit: Frescoball Example, J Quant Anal Sports, vol.5, issue.1, 2009.

F. M. Leo, P. A. Sánchez-miguel, D. Sánchez-oliva, A. D. García-calvo, and T. , Analysis of Cohesion and Collective Efficacy Profiles for the Performance of Soccer Players, J Hum Kinet, vol.39, issue.1, 2013.

N. Jain, Build teams to run marathons, not sprints. In: 97 things every project manager should know: Collective wisdom from the experts, p.96, 2009.

L. Kahane and S. Shmanske, Team roster turnover and attendance in major league baseball, Appl Econ, vol.29, issue.4, pp.425-456, 1997.

E. E. Smith and J. D. Groetzinger, Do Fans Matter? The Effect of Attendance on the Outcomes of Major League Baseball Games, J Quant Anal Sports, vol.6, issue.1, 2010.

M. Hägglund, M. Waldén, H. Magnusson, K. Kristenson, H. Bengtsson et al., Injuries affect team performance negatively in professional football: an 11-year follow-up of the UEFA Champions League injury study, Br J Sports Med, 2013.

K. L. Quarrie and W. G. Hopkins, Changes in player characteristics and match activities in Bledisloe Cup rugby union from 1972 to 2004, J Sports Sci, vol.25, issue.8, pp.895-903, 2007.

, Observatoire médical du rugby. 45 préconisations pour la santé des joueurs. Fédération Française de Rugby, 2018.

P. G. Campbell, J. M. Peake, and G. M. Minett, The Specificity of Rugby Union Training Sessions in Preparation for Match Demands, Int J Sports Physiol Perform, pp.1-23, 2017.

P. Passos, J. Milho, and C. Button, Quantifying synergies in two-versus-one situations in team sports: An example from Rugby Union, Behav Res Methods, vol.50, issue.2, pp.620-629, 2018.

L. Seifert, D. Araújo, J. Komar, and K. Davids, Understanding constraints on sport performance from the complexity sciences paradigm: An ecological dynamics framework, Hum Mov Sci, vol.56, pp.178-80, 2017.

A. Groll and J. Abedieh, Spain retains its title and sets a new record-generalized linear mixed models on European football championships, J Quant Anal Sports, vol.9, issue.1, pp.51-66, 2013.

P. Cintia, M. Coscia, and L. Pappalardo, The Haka network: Evaluating rugby team performance with dynamic graph analysis, Advances in Social Networks Analysis and Mining (ASONAM), pp.1095-1102, 2016.

T. U. Grund, Network structure and team performance: The case of English Premier League soccer teams. Soc Netw, vol.34, pp.682-90, 2012.

T. J. Pina, A. Paulo, and D. Araújo, Network Characteristics of Successful Performance in Association Football. A Study on the UEFA Champions League, Front Psychol

, , vol.8, 2017.

J. Ribeiro, P. Silva, R. Duarte, K. Davids, and J. Garganta, Team Sports Performance Analysed Through the Lens of Social Network Theory: Implications for Research and Practice, pp.1-8, 2017.

J. Guillaume and M. Latapy, Bipartite structure of all complex networks, Inf Process Lett, vol.90, issue.5, pp.215-221, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00016855