Table 5.
Studies with predominantly technical and tactical skill analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Yiannaki, Barron [27] | 16 futsal players belonging to a national team during an international tournament, aged 25.74 ± 4.71 years. | Match performance: physical and technical performance. | Pre-tournament physical testing (Yo-Yo IR1) and match analysis (to select relevant technical variables for analysis. Data was generated using the SportsCode software package (v.11.2.15, Hudl, Lincoln, NE, USA). |
Mean heart rate value during ‘court time’ of 164.7 ± 22.3 beats min-1, which as a percentage of participants′ MHR was 87.7% ± 4.4%, and a mean peak MHR of 98.3 ± 2.5%. Additionally, showed 2.16 ± 0.25 accelerating (>1.5 m·s−2) and 2.78 ± 0.13 decelerating (>1.5 m·s−2) events per player per minute. Match analyses showed that 77.3% of ball receptions were completed with the sole of the foot. |
75.0% |
| Yiannaki, Carling [28] | 77 participants were included, of which 56 were coaches from an “Advanced Youth Award” and 21 were players. | Futsal as a potential talent development modality for soccer | Surveys were used in order to gauge the perceptions of the participants. | 89.6% of participants suggested that pitch size improved skills; 88.3% believed the pass back rule enhanced ball reception skills and; 89.2% perceived that futsal can help develop ‘multifunctional’ players. |
68.8% |
| Práxedes, Moreno [29] | 19 Spanish football players (U12), separated into two ability groups (Average versus Low skill-level). | Small-sided games on tactical behavior (decision-making capacity) | Game Performance Evaluation Tool (GPET). | Groups with an average level of expertise, training with numerical superiority in attack provides players with more time to make better decisions and to better execute actions. | 81.3% |
| Mohammed, Shafizadeh [30] | 144 elite players from 12 national teams and 60 semi-elite players from 5 domestic clubs in England. | Level of expertise | The matches were played again using Sports Code software (Sportstec, Co., Warriewood, NSW, Australia) that was configured in terms of hot key notation of actions in both physical and technical variables. | Elite players demonstrated more successful attempts in passing, dribbling and shooting. Elite players spent more time during a match on sprinting, whereas semi-elite players recorded higher percentages on standing and walking activities. |
81.3% |
| Polidoro, Bianchi [31] | 20 pre-teens 9–10 years-old organized by the coach in two homogeneous groups (sample group n = 10, control group n = 10). | Performance analysis and skills improvement–control of the ball, driving the ball and shooting | The players practice twice a week for one year. But only 10 players view training videos before each practice. The two groups have the same technical characteristics (homogeneous). | (1) The use of video-motor learning is more effective in the technical development of young players in the age of 9–10 years old; (2) A better acquisition of technical gestures by the kids’ part of the sample group in relation to the control group; (3) Video recording and reviewing gestures is a suitable tool for evaluating of motor execution; (4) Improved ability in self-assessment and self-correction. |
50.0% |