20/05/2023
EPL - Result Predictor 1.0
How many times have you heard students saying why are we even studying Mathematics & what exactly is the practical application of Mathematical Concepts? A lot, right? Credit goes to our education system, which focuses only on the theoretical part of the knowledge & doesn't teach students to translate theory to practicality for solving real-world problems.
With the English Premier League (EPL) around the corner, we thought we should come up with something interesting to inspire people & show them the power of Data, Statistics, & Mathematics. Therefore, we are releasing our work, 'English Premier League (EPL) - Result Predictor 1.0'.
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We collected multiple datasets from different resources which then underwent rigorous merging and cleaning. Majority of our time and energy were spent on data collection, data merging, and data cleaning.
The dataset had around 11,184 observations and 12 variables. Following are the details about the variables:
01) "๐๐ผ๐ฎ๐น ๐๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐.๐ฟ.๐ ๐๐ผ๐บ๐ฒ ๐ง๐ฒ๐ฎ๐บ" is the difference between the goals scored by home team and away team, with respect to the home team. Goal difference would be positive if home team wins, negative if home team loses, and zero in case of a draw. It's a numerical discrete variable (integer). Examples: 2, -3, 0, etc.
02) "๐ ๐ฎ๐๐ฐ๐ต๐ฒ๐ ๐ฃ๐น๐ฎ๐๐ฒ๐ฑ (๐๐ผ๐บ๐ฒ ๐ง๐ฒ๐ฎ๐บ)" is the total number of matches played by the home team at the home venues across all the seasons. It's a numerical discrete variable (integer). Examples: 38, 342, 534, etc.
03) "๐ ๐ฎ๐๐ฐ๐ต๐ฒ๐ ๐ฃ๐น๐ฎ๐๐ฒ๐ฑ (๐๐๐ฎ๐ ๐ง๐ฒ๐ฎ๐บ)" is the total number of matches played by the away team at the away venues across all the seasons. It's a numerical discrete variable (integer). Examples: 38, 342, 534, etc.
04) "๐๐ฎ๐๐ ๐ฌ๐ฒ๐ฎ๐ฟ'๐ ๐ฃ๐ผ๐ถ๐ป๐๐/๐ ๐ฎ๐๐ฐ๐ต๐ฒ๐_๐ฃ๐น๐ฎ๐๐ฒ๐ฑ (๐๐ผ๐บ๐ฒ ๐ง๐ฒ๐ฎ๐บ)" is the ratio of points scored and matches played in last season by the home team at home venues. It's a numerical continuous variable (real numbers). Examples: 2.41, 1.95, 1.62, etc.
05) "๐๐ฎ๐๐ ๐ฌ๐ฒ๐ฎ๐ฟโ๐ ๐ฃ๐ผ๐ถ๐ป๐๐/๐ ๐ฎ๐๐ฐ๐ต๐ฒ๐_๐ฃ๐น๐ฎ๐๐ฒ๐ฑ (๐๐๐ฎ๐ ๐ง๐ฒ๐ฎ๐บ)" is the ratio of points scored and matches played in last season by the away team at away venues. It's a numerical continuous variable (real numbers). Examples: 2.41, 1.95, 1.62, etc.
06) "๐ง๐ถ๐๐น๐ฒ๐ ๐ช๐ผ๐ป (๐๐ผ๐บ๐ฒ ๐ง๐ฒ๐ฎ๐บ)" is the number of titles won by the home team. It's a numerical discrete variable (integer). Examples: 13, 2, 0, etc.
07) "๐ง๐ถ๐๐น๐ฒ๐ ๐ช๐ผ๐ป (๐๐๐ฎ๐ ๐ง๐ฒ๐ฎ๐บ)" is the number of titles won by the away team. It's a numerical discrete variable (Integer). Examples: 13, 2, 0, etc.
08) "๐๐ฎ๐๐ ๐ฌ๐ฒ๐ฎ๐ฟ'๐ ๐ฆ๐ฎ๐๐ฒ๐ ๐ฃ๐ฒ๐ฟ๐ฐ๐ฒ๐ป๐๐ฎ๐ด๐ฒ (๐๐ผ๐บ๐ฒ ๐ง๐ฒ๐ฎ๐บ)" is the saves percentage of home team for the last season. It's a numerical continuous variable (real numbers). Examples: 81.1, 69.2, 72.4, etc.
09) "๐๐ฎ๐๐ ๐ฌ๐ฒ๐ฎ๐ฟ'๐ ๐ฆ๐ฎ๐๐ฒ๐ ๐ฃ๐ฒ๐ฟ๐ฐ๐ฒ๐ป๐๐ฎ๐ด๐ฒ (๐๐๐ฎ๐ ๐ง๐ฒ๐ฎ๐บ)" is the saves percentage of away team for the last season. It's a numerical continuous variable (real numbers). Examples: 81.1, 69.2, 72.4, etc.
10) "๐๐ฎ๐" is the day of the week on which the match was played. It's a categorical variable.
Examples: Sunday, Friday, Monday, etc.
11) "๐ช๐ฒ๐ฒ๐ธ" is the week number of the season in which the match was played. It's numerical discrete variable (integer). Examples: 14, 38, 1, etc.
12) "๐ฌ๐ฒ๐ฎ๐ฟ" is the year in which the match was played. It's a numerical discrete variable (integer). Examples: 1993, 2004, 2021, etc.
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All the match predictions & results will be shared in the comments section.
Stay Tuned!
For cooperation, special thanks to:
Ahtisham Ali Jan
Ali Haider
Hassan Mujtaba
Sajid Karim
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