Armatas, V., Yiannakos, A., Zaggelidis, G., Papadopoulou, S., & Fragkos, N. (2009). Goal scoring patterns in Greek top leveled soccer matches. Journal of Physical Education and Sport , 23 (2), 1–5.
Bourbousson, J., Sève, C., & McGarry, T. (2010). Space-time coordination dynamics in basketball: Part 2 The interaction between the two teams. Journal of Sports Sciences , 28 (3), 349–358. Journal Article.
Carling, C., Williams, A. M., & Reilly, T. (2005). Handbook of Soccer Match Analysis: A Systematic Approach to Improving
://www.soccerstatistically.com/blog/2011/12/28/problems-with-an-adjusted-plusminus-metric-in-football.html , accessed 2018-09-13.
Constantinou, A. & Fenton N. (2013). Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries. Journal of Quantitative Analysis in Sports , 9, 37–50.
Deshpande, S. & Jensen, S. (2016). Estimating an NBA player’s impact on his team’s chances of winning. Journal of Quantitative Analysis in Sports , 12, 51–72.
Elo, A. (1978). The Rating of Chessplayers, Past and Present. New York
Peter Ney, Ian Smith, Gabriel Cadamuro and Tadayoshi Kohno
://www.skyhookwireless.com/ . Accessed: 2017-03-14.
 SR Labs. Snoopsnitch. https://opensource.srlabs.de/projects/snoopsnitch . Accessed: 2017-03-14.
 SR Labs. Snoopsnitch - IMSI Catcher Score. https://opensource.srlabs.de/projects/snoopsnitch/wiki/IMSI_Catcher_Score .
 Unwired labs. https://unwiredlabs.com/ . Accessed: 2017-03-14.
 F. van den Broek, R. Verdult, and J. de Ruiter. Defeating imsi catchers. In Proceedings of the 22Nd ACM SIGSAC Conference on Computer and Communications Security , CCS ’15, pages 340–351, New York, NY, USA, 2015. ACM.
. (2001). The Economics of Football. Cambridge University Press, Cambridge.
Dobson, S. & Goddard, J. (2003). Persistence in sequences of football match results: A Monte Carlo analysis. European Journal of Operational Research , 148 , 247–256.
Dobson, S. & Goddard, J. (2008). Forecasting scores and results and testing the efficiency of the fixed-odds betting market in scottish league football. In: Albert, J. & Koning, R., eds., Statistical Thinking in Sports, Boca Raton, Florida, USA: Chapman & Hall, 91–110.
Forrest, D., Goddard, J., & Simmons, R
Steven Englehardt, Jeffrey Han and Arvind Narayanan
traffic. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services , pages 361–374. ACM, 2016.
 Franziska Roesner, Tadayoshi Kohno, and David Wetherall. Detecting and defending against third-party tracking on the web. In Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation , pages 12–12. USENIX Association, 2012.
 scikit-learn. Jaccard Similarity Score. http://scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_similarity_score.html . Online; accessed
A. Vales-Vázquez, C. Casal-López, P. Gómez-Rodríguez and H. Blanco-Pita
Krustrup, P., Mohr, M., Ellingsgaard, H., & Bangsbo, J. (2005). Physical demands during an elite female soccer game: importance o raining status. Medicine & Science in Sports & Exercise, 37 (7), 1242-1248.
Lago-Peñas, C., & Lago-Ballesteros, J. (2011). Game location and team quality effects on performance profiles on professional soccer. Journal of Sports Science and Medicine, 10 , 465-471.
Lago-Peñas, C., Gómez-Ruano, M., Megías-Navarro, D., & Pollard, R. (2016). Home advantage in football: Examining the effect of scoring first on
. (2013). The Elements of Statistical Learning: Data Mining, Inference, and Prediction : Springer New York.
Higham, D. G., Hopkins, W. G., Pyne, D. B., & Anson, J. M. (2014). Performance indicators related to points scoring and winning in international rugby sevens. Journal of Sports Science & Medicine, 13 (2), p 358.
Jacklin, P. B. (2005). Temporal changes in home advantage in English football since the Second World War: What explains improved away performance? Journal of Sports Sciences, 23 (7), pp. 669-679. Retrieved from http
Sotirios Drikos, Ioannis Ntzoufras and Nikolaos Apostolidis
. (2015). Analysis of game variables to predict scoring and performance levels in elite men's volleyball. International Journal of Performance Analysis in Sport (15), pp. 816-829.
Zetou, E., Moustakidis, A., Tsigilis, N., & Komninakidou, A. (2007). Does effectiveness of skill Complex 1 predict win in Men's Olympic Volleyball Games? Journal of Quantitative Analysis in Sports , 3 (4).
Zetou, E., Tsigilis, N., Moustakidis, A., & Komninakidou, A. (2006, 6). Playing characteristics of men's Olympic Volleyball teams in complex II. International Journal of
Amit Datta, Michael Carl Tschantz and Anupam Datta
near parity - for now: Despite gains, many see roadblocks ahead,” 2013.
 T. Z. Zarsky, “Understanding discrimination in the scored society,” Washington Law Review, vol. 89, pp. 1375-1412, 2014.
 R. S. Zemel, Y. Wu, K. Swersky, T. Pitassi, and C. Dwork, “Learning fair representations,” in Proceedings of the 30th International Conference on Machine Learning, ser. JMLR: W&CP, vol. 28. JMLR.org, 2013, pp. 325-333.
 Adgooroo, “Adwords cost per click rises 26% between 2012 and 2014,” http
Grazia Caradonna, Antonio Novelli, Eufemia Tarantino, Raffaela Cefalo and Umberto Fratino
on multivariate statistical modeling using remote sensing data. Environmental Modeling & Assessment, 18(5), 547-558.
Coscarelli, R., Caloiero, T., Minervino, I., & Sorriso-Valvo, M. (2015). Sensitivity to desertification of a high productivity area in Southern Italy. Journal of Maps, 1-9.
Figorito, B., Mancini, F., Novelli, A., & Tarantino, E. (2014). Monitoring land cover changes at watershed scale using LANDSAT imagery. Score@Poliba.
Han, L., Zhang, Z., Zhang, Q., & Wan, X. (2015). Desertification assessments in the