Football Academy Analysis and Ranking Project

Job ID: 38391060

Budget: $30 – $250 USD

I'm looking for a Power BI Specialist who can design a player ranking system for my football academy using the training and evaluation data available. Using this information, I want to rank players by attributes and positions. The specific player attributes to consider include:

- Cognitive Skills such as:
- Decision-making
- Tactical understanding
- Anticipation
- Reaction
- Vision
- Scanning
- Inhibition

In addition to cognitive skills, I also want the following physical attributes to be incorporated:

- Pass accuracy
- Pass power
- Sprint speed
- Dribbling

The key to this project is the use of the Rank Ordering methodology to take into account the attributes mentioned.

Ideal candidates should have superb Power BI skills, a strong analytical perspective, and a thorough understanding of football. Experience with sports analysis would also be very beneficial, especially if it's related to player performance evaluation. A familiarity with rating and ranking systems is also preferred.

The provided sheet will consist of three tabs with different data related to football players and their training:

1. **Player ID**: This sheet lists details about individual players, including:
- **Player ID**: Unique identifier for each player.
- **Name**: Full name of the player.
- **Position**: Player's position on the field.
- **Strong Foot**: Indicates whether the player is right-footed or left-footed.
- **Age**: Player's age.
- **Date of Birth**: The player's date of birth.
- There are additional columns with unclear labels or missing data.

2. **Training Reports**: This sheet provides details on various training sessions, including:
- **Player ID**: Identifier matching the Player ID tab.
- **Game Mode**: Type of training or game mode (e.g., Mini Goals, Color rings).
- **Skill Focus**: The specific skill being trained (e.g., Visual Perception, Decision Making).
- **Date**: The date of the training session.
- **Rounds, Session High Score, Session Average**: Metrics from the training sessions.
- **Personal High Score, Session High Score**: Additional performance metrics.

3. **Diagnostic Reports**: This sheet appears to contain assessment data:
- **Player ID**: Identifier matching the Player ID tab.
- **Skill Focus**: The cognitive or physical skill being assessed (e.g., Reaction, Inhibition).
- **Test Date**: The date of the diagnostic test.
- **General Score, Age Group Average Score, Test Score**: Scores obtained during the tests.
- **Better or Less, Percentage**: Indicates if the player performed better or worse than the average, along with the percentage difference.
- There are additional columns with scores or attributes, but they are not clearly labeled.

If you need more detailed insights into any specific section or have any particular questions, please let me know!
Related categories: Excel Sports Data Analysis Power BI Sports Design