Visual tracking speed threshold in NCAA Division I women’s soccer predicting match performance A preliminary study

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Julia Phillips
Thomas L. Andre


Correlations between sport performance and visual training have been previously demonstrated. However, it remains unclear if these relationships exist between visual tracking thresholds and in-competition decision-making metrics. Therefore, the purpose of this study was to investigate the relationship between visual tracking speed (VTS) and soccer-specific performance measures. 19 NCAA Division I soccer players VTS was measured from 1-core session on a 3-demensional multiple object tracking (3D-MOT) software NeuroTracker (NT) and soccer performance metrics were obtained from WyScout. Spearman’s rank order correlation coefficient was utilized to examine potential correlations between criterion variables. There was nonsignificant correlation between VTS score and passing accuracy (r = -0.380). However, there was a strong correlation found between consistency score and passing accuracy (r = 0.650). When examining players based on their positional role, for attacking players there were nonsignificant strong correlation with consistency and passing accuracy (r = 0.730). For defenders, consistency and defensive win rate had a strong correlation (r = 0.731). Although there was no significant correlation seen between VTS and decision-making variables when examining the entire team, there was a significant strong positive relationship between consistency scores and passing accuracy. Future research should seek to include multiple teams for improved sample size.

Article Details

How to Cite
Phillips, J., & Andre, T. (2022). Visual tracking speed threshold in NCAA Division I women’s soccer predicting match performance: A preliminary study. Scientific Journal of Sport and Performance, 2(1), 94–104.
Performance Analysis of Sport and Physical Conditioning
Author Biographies

Julia Phillips, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.

Thomas L. Andre, University of Mississippi

Department of Health, Exercise Science, and Recreation Management.


Causer, J., Holmes, P. S., & Williams, A. M. (2011). Quiet Eye Training in a Visuomotor Control Task. Medicine & Science in Sports & Exercise, 43(6), 1042–1049.

Clark, J. F., Ellis, J. K., Bench, J., Khoury, J., & Graman, P. (2012). High-Performance Vision Training Improves Batting Statistics for University of Cincinnati Baseball Players. PLoS ONE, 7(1), e29109.

Collet, C. (2013). The possession game? A comparative analysis of ball retention and team success in European and international football, 2007–2010. Journal of Sports Sciences, 31(2), 123–136.

Deveau, J., Ozer, D. J., & Seitz, A. R. (2014). Improved vision and on-field performance in baseball through perceptual learning. Current Biology, 24(4), R146–R147.

Fagiolini, M., Jensen, C. L., & Champagne, F. A. (2009). Epigenetic influences on brain development and plasticity. Current Opinion in Neurobiology, 19(2), 207–212.

Faubert, J. (2013). Professional athletes have extraordinary skills for rapidly learning complex and neutral dynamic visual scenes. Scientific Reports, 3(1), 1154.

Faubert, J., & Sidebottom, L. (2012). Perceptual-Cognitive Training of Athletes. Journal of Clinical Sport Psychology, 6(1), 85–102.

Foxe, J. J., & Snyder, A. C. (2011). The Role of Alpha-Band Brain Oscillations as a Sensory Suppression Mechanism during Selective Attention. Frontiers in Psychology, 2.

Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137(2), 201–225.

Gorman, A. D., Abernethy, B., & Farrow, D. (2012). Classical Pattern Recall Tests and the Prospective Nature of Expert Performance. Quarterly Journal of Experimental Psychology, 65(6), 1151–1160.

Homack, S., Lee, D., & Riccio, C. A. (2005). Test Review: Delis-Kaplan Executive Function System. Journal of Clinical and Experimental Neuropsychology, 27(5), 599–609.

Jensen, O., Kaiser, J., & Lachaux, J.-P. (2007). Human gamma-frequency oscillations associated with attention and memory. Trends in Neurosciences, 30(7), 317–324.

Klostermann, A., Panchuk, D., & Farrow, D. (2018). Perception-action coupling in complex game play: Exploring the quiet eye in contested basketball jump shots. Journal of Sports Sciences, 36(9), 1054–1060.

Komarudin, K., Sagitarius, S., Sartono, H., & Awaludin, P. N. (2020). Neurotracker Training to Improve The Archery Athlete Concentration. Jurnal Pendidikan Jasmani Dan Olahraga, 5(2).

Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013). An opportunity cost model of subjective effort and task performance. Behavioral and Brain Sciences, 36(6), 661–679.

Longo, U. G., Sofi, F., Candela, V., Dinu, M., Cimmino, M., Massaroni, C., Schena, E., & Denaro, V. (2019). Performance Activities and Match Outcomes of Professional Soccer Teams during the 2016/2017 Serie A Season. Medicina, 55(8), 469.

Mangine, G. T., Hoffman, J. R., Wells, A. J., Gonzalez, A. M., Rogowski, J. P., Townsend, J. R., Jajtner, A. R., Beyer, K. S., Bohner, J. D., Pruna, G. J., Fragala, M. S., & Stout, J. R. (2014). Visual Tracking Speed Is Related to Basketball-Specific Measures of Performance in NBA Players. Journal of Strength and Conditioning Research, 28(9), 2406–2414.

Moen, F., Hrozanova, M., & Pensgaard, A. M. (20189). The effects of Perceptual-Cognitive training on Subjective Performance in Elite Athletes. The Sports Journal, 21.

Moen, F., Hrozanova, M., & Stiles, T. (2018). The effects of perceptual-cognitive training with Neurotracker on executive brain functions among elite athletes. Cogent Psychology, 5(1), 1544105.

Nimmerichter, A., Weber, N., Wirth, K., & Haller, A. (2015). Effects of Video-Based Visual Training on Decision-Making and Reactive Agility in Adolescent Football Players. Sports, 4(1), 1.

Nyquist, J. B., Lappin, J. S., Zhang, R., & Tadin, D. (2016). Perceptual training yields rapid improvements in visually impaired youth. Scientific Reports, 6(1), 37431.

Oudejans, R. R. D., Koedijker, J. M., Bleijendaal, I., & Bakker, F. C. (2005). The education of attention in aiming at a far target: Training visual control in basketball jump shooting. International Journal of Sport and Exercise Psychology, 3(2), 197–221.

Parsons, B., Magill, T., Boucher, A., Zhang, M., Zogbo, K., Bérubé, S., Scheffer, O., Beauregard, M., & Faubert, J. (2016). Enhancing Cognitive Function Using Perceptual-Cognitive Training. Clinical EEG and Neuroscience, 47(1), 37–47.

Petruo, V. A., Mückschel, M., & Beste, C. (2018). On the role of the prefrontal cortex in fatigue effects on cognitive flexibility - a system neurophysiological approach. Scientific Reports, 8(1), 6395.

Prion, S., & Haerling, K. A. (2014). Making Sense of Methods and Measurement: Spearman-Rho Ranked-Order Correlation Coefficient. Clinical Simulation in Nursing, 10(10), 535–536.

Romeas, T., Guldner, A., & Faubert, J. (2016). 3D-Multiple Object Tracking training task improves passing decision-making accuracy in soccer players. Psychology of Sport and Exercise, 22, 1–9.

Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999). In vivo evidence for post-adolescent brain maturation in frontal and striatal regions. Nature Neuroscience, 2(10), 859–861.

Vestberg, T., Gustafson, R., Maurex, L., Ingvar, M., & Petrovic, P. (2012). Executive Functions Predict the Success of Top-Soccer Players. PLoS ONE, 7(4), e34731.

Vine, S. J., & Wilson, M. R. (2010). Quiet Eye Training: Effects on Learning and Performance Under Pressure. Journal of Applied Sport Psychology, 22(4), 361–376.

Walton, C. C., Keegan, R. J., Martin, M., & Hallock, H. (2018). The Potential Role for Cognitive Training in Sport: More Research Needed. Frontiers in Psychology, 9.

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