Football Player Ratings and Match Predictions Data Documentation

1. Introduction

Welcome to the documentation for the Football Player Ratings and Match Predictions Dataset, covering football matches across the globe. This dataset is sourced from the Fanzword app, where users rate player performances, predict match outcomes, and engage with fellow fans in real time. The data offers valuable insights into fan sentiment, player performance, and predictive analysis for football matches.

Whether you’re a football analyst, data scientist, or enthusiast, this dataset will enable you to:

• Track player ratings over time.
• Analyze match predictions (first goal scorer, match outcomes, etc.).
• Gain insights into fan behavior and opinions on football teams and players.

2. Accessing the Data

The dataset is hosted on Snowflake, where users can directly access the data and integrate it with their own tools for further analysis. Here’s how to get started:

Step 1: Access the Snowflake dataset

• Log in to your Snowflake account.
• Navigate to the Marketplace and search for “Football Player Ratings and Match Predictions Dataset.”
• Click on “Get Data” to add the dataset to your environment.

Step 2: Query and Explore Data

• Once added to your Snowflake environment, you can query the tables directly using standard SQL queries.
• Examples of queries you can run:
  sql

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  SELECT * FROM FOOTBALL_DATA.RATINGS WHERE PLAYERNAME = 'Player Name' AND SEASON = '2024';


Step 3: Integrating with BI Tools

• After accessing the data, you can connect it with your preferred BI tools such as Tableau, Power BI, or Looker for custom visualizations. Snowflake supports direct integrations with most BI platforms. Use the credentials and connection strings from your Snowflake account for integration.

3. Data Schema Overview

The dataset consists of multiple tables, each covering different aspects of football data. Below is an example of one of the key tables, which focuses on player ratings:

Table: RATINGS

Column Name	Data Type	Description
AVERAGE_RATING	Number	The average rating given to a player by fans.
DATE	Date	The date of the match or rating.
DAY	Number	Day of the month for the match.
LEAGUENAME	Varchar	The name of the football league.
MATCHNAME	Varchar	The specific match being rated.
MONTH	Number	Month of the year for the match.
PLAYERNAME	Varchar	The name of the player being rated.
SEASON	Varchar	The football season.
TEAMNAME	Varchar	The name of the team for which the player plays.
YEAR	Number	The year the match took place.

You can use the RATINGS table for tracking player performance trends and comparing fan sentiment across matches, leagues, and seasons.

For further exploration, the dataset includes additional tables with match statistics, predictions, and team ratings.

4. Use Cases

Here are some common use cases of the dataset:

1. Player Performance Analysis
   Analyze trends in player ratings across multiple seasons and match types. For example, you can compare how a specific player has been rated in different leagues and against different teams.
2. Fan Prediction Accuracy
   Explore how accurate fan predictions are when it comes to match outcomes, the first player to score, and the first team to score. You can track the correctness of predictions versus actual match results.
3. Match Outcome Visualization
   Build dashboards to visualize match outcomes, player performances, and fan ratings over time. Below is a sample query to get started:
   sql

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   SELECT MATCHNAME, AVERAGE_RATING, PLAYERNAME
FROM FOOTBALL_DATA.RATINGS
WHERE SEASON = '2024'
AND LEAGUENAME = 'Premier League';

4. Fan Sentiment and League Comparisons
   Analyze how fans across different regions rate their favorite players and teams.

5. Contact Information

For questions, data support, or access to our pre-built dashboards, please reach out to us at:

Email: contact@fanzword.com
Website: https://www.fanzword.com/contact-us/