Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping
Background: In association football (Soccer), a penalty kick holds immense importance as one decisive kick can determine the outcome of years of hard work. Objective: The study aims to examine the frequency and success rate of penalty shootouts executed by Bangladeshi male footballers in various zo...
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FEADEF
2025-04-01
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| Series: | Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación |
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| Online Access: | https://recyt.fecyt.es/index.php/retos/article/view/111398 |
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| author | Shaybal Chanda Nur Md. Alam Nasim Md. Reza Anup De |
| author_facet | Shaybal Chanda Nur Md. Alam Nasim Md. Reza Anup De |
| author_sort | Shaybal Chanda |
| collection | DOAJ |
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Background: In association football (Soccer), a penalty kick holds immense importance as one decisive kick can determine the outcome of years of hard work. Objective: The study aims to examine the frequency and success rate of penalty shootouts executed by Bangladeshi male footballers in various zones of the goal to categorize zone-specific vulnerability, strength, and frequency. Materials and Methods: Male sixty-two (n=62) field players and thirty-two (n=32) goalkeepers aged 15-30 were selected for the study. The goal was divided into 12 zones for study. A camera (GoPro 11) was placed outside the penalty area. Visual and video analysis with Kinovia motion analysis software was conducted simultaneously. Percentage and Chi-square tests were employed for statistical analysis. Results: The results show the highest goal-scoring percentages by zone in the following sequence: 1 (100%), 4 (94%), 3 (82%), 2 (64%), 12 (54%), 9 (52%), 5 (51%), 8 (50%), 6 (29%), 10 (18%), 11 (15%), and 7 (13%). In terms of targeted kick percentages, the order by zone from highest to lowest is as follows: 12 (20%), 9 (19%), 5 (13%), 8 (12%), 10 (12%), 4 (6%), 6 (5%), 7 (5%), 3 (4%), 2 (4%), 11 (4%), and 1 (3%). Pearson's Chi-square value is 59.234 with df = 11, and p = .000, indicating a statistically significant association between the zones in goal and the outcomes (goal or save). Conclusions: Most kicks target the lower side of the goalposts, with scoring chances increasing when kicked farther and higher, revealing different vulnerabilities across different areas in the goal.
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| format | Article |
| id | doaj-art-3aefe4d7db3b48b4a9a0afd49733633c |
| institution | OA Journals |
| issn | 1579-1726 1988-2041 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | FEADEF |
| record_format | Article |
| series | Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación |
| spelling | doaj-art-3aefe4d7db3b48b4a9a0afd49733633c2025-08-20T02:27:18ZengFEADEFRetos: Nuevas Tendencias en Educación Física, Deportes y Recreación1579-17261988-20412025-04-016710.47197/retos.v67.111398Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer GoalkeepingShaybal Chanda0Nur Md. Alam1Nasim Md. Reza2Anup De3 Jashore University of Science and TechnologyJashore University of Science and Technology Jashore University of Science and Technology The University of Burdwan Background: In association football (Soccer), a penalty kick holds immense importance as one decisive kick can determine the outcome of years of hard work. Objective: The study aims to examine the frequency and success rate of penalty shootouts executed by Bangladeshi male footballers in various zones of the goal to categorize zone-specific vulnerability, strength, and frequency. Materials and Methods: Male sixty-two (n=62) field players and thirty-two (n=32) goalkeepers aged 15-30 were selected for the study. The goal was divided into 12 zones for study. A camera (GoPro 11) was placed outside the penalty area. Visual and video analysis with Kinovia motion analysis software was conducted simultaneously. Percentage and Chi-square tests were employed for statistical analysis. Results: The results show the highest goal-scoring percentages by zone in the following sequence: 1 (100%), 4 (94%), 3 (82%), 2 (64%), 12 (54%), 9 (52%), 5 (51%), 8 (50%), 6 (29%), 10 (18%), 11 (15%), and 7 (13%). In terms of targeted kick percentages, the order by zone from highest to lowest is as follows: 12 (20%), 9 (19%), 5 (13%), 8 (12%), 10 (12%), 4 (6%), 6 (5%), 7 (5%), 3 (4%), 2 (4%), 11 (4%), and 1 (3%). Pearson's Chi-square value is 59.234 with df = 11, and p = .000, indicating a statistically significant association between the zones in goal and the outcomes (goal or save). Conclusions: Most kicks target the lower side of the goalposts, with scoring chances increasing when kicked farther and higher, revealing different vulnerabilities across different areas in the goal. https://recyt.fecyt.es/index.php/retos/article/view/111398Association football, Penalty shootouts, Goalkeeping, Goal distribution, Zone-specific analysis. |
| spellingShingle | Shaybal Chanda Nur Md. Alam Nasim Md. Reza Anup De Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación Association football, Penalty shootouts, Goalkeeping, Goal distribution, Zone-specific analysis. |
| title | Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping |
| title_full | Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping |
| title_fullStr | Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping |
| title_full_unstemmed | Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping |
| title_short | Identifying Vulnerable Zones of Goal during Penalty Kicks in Soccer Goalkeeping |
| title_sort | identifying vulnerable zones of goal during penalty kicks in soccer goalkeeping |
| topic | Association football, Penalty shootouts, Goalkeeping, Goal distribution, Zone-specific analysis. |
| url | https://recyt.fecyt.es/index.php/retos/article/view/111398 |
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