Contract End Reason Calculation

Oct 13, 2025 by recoveryshake.com 72 views

Overview

In the world of sports management, having accurate and up-to-date contract information is crucial for making informed decisions. The league requires a dataset containing contract details to automate various features, such as player movement, team sheet updates, and season pay checks. A well-structured log format with unique Contract IDs will serve as the foundation for this dataset. In this article, we will delve into the requirements, subtasks, formulas, and notes necessary for creating a comprehensive contract dataset.

Requirements

To build a reliable contract dataset, the following requirements must be met:

Log Formatting

The dataset will be best formatted as a log, with each entry containing the necessary information. This log format will enable efficient data retrieval and manipulation.

Contract Information

The following contract details must be included in the dataset:

Active Status: A flag indicating whether the contract is active or inactive.
Season: The season in which the contract was signed or extended.
Player: The PlayerID associated with the contract.
Signing Team: The team that signed the player to the contract (e.g., HELLHOUNDS, PANDAS).
Contract Type: The type of contract (Rookie, Extension, FA Signing, IA Contract).
Contracted Team: The team that the player is contracted to (S1 : S3).
Contract Conditions: The conditions of the contract (S1 : S3).
TPE Salary: The total player exception salary (S1 : S3 = 2:6).
Contract End: The season in which the contract expires.
Contract End Reason: The reason for the contract's expiration (Player Inactive, Contract Expired, Player Option, Team Option, Mutual Option, Released).

Subtasks

To ensure the accuracy and completeness of the contract dataset, the following subtasks must be performed:

Data Collection

Gather contract information from various sources, including team management, player agents, and league officials.

Data Cleaning

Verify the accuracy and consistency of the collected data, ensuring that all required fields are populated.

Data Transformation

Transform the collected data into the required log format, with each entry containing the necessary contract information.

Data Validation

Validate the transformed data to ensure that it meets the requirements and is free from errors.

Data Storage

Store the validated data in a secure and accessible database, ensuring that it can be easily retrieved and manipulated.

Formulas

The following formulas will be used to calculate various contract-related metrics:

TPE Salary Calculation

TPE Salary = (S1 + S2 + S3) / 3

Contract End Reason Calculation

Contract End Reason = IF (Contract End Reason = "Player Inactive", "Player Inactive", IF (Contract End Reason = "Contract Expired", "Contract Expired", IF (Contract End Reason = "Player Option", "Player Option", IF (Contract End Reason = "Team Option", "Team Option", IF (Contract End Reason = "Mutual Option", "Mutual Option", IF (Contract End Reason = "Released", "Released", "Unknown")))))

Contract Type Calculation

Contract Type = IF (Contract Type = "Rookie", "Rookie", IF (Contract Type = "Extension", "Extension", IF (Contract Type = "FA Signing", "FA Signing", IF (Contract Type = "IA Contract", "IA Contract", "Unknown"))))

Notes

The following notes provide additional context and guidance for building the contract dataset:

Data Quality

Ensure that the collected data is accurate, complete, and consistent. Inaccurate or incomplete data can lead to incorrect contract-related decisions.

Data Security

Store the contract dataset in a secure and accessible database, ensuring that it can be easily retrieved and manipulated.

Data Maintenance

Regularly update the contract dataset to reflect changes in contract status, player movement, and team roster.

Q: What is the purpose of the contract dataset?

A: The contract dataset is designed to provide a centralized repository of contract information for the league and its teams. This dataset will enable the automation of various features, such as player movement, team sheet updates, and season pay checks.

Q: What is the log format for the contract dataset?

A: The contract dataset will be formatted as a log, with each entry containing the necessary contract information. This log format will enable efficient data retrieval and manipulation.

Q: What fields are required for each contract entry?

A: The following fields are required for each contract entry:

Active Status: A flag indicating whether the contract is active or inactive.
Season: The season in which the contract was signed or extended.
Player: The PlayerID associated with the contract.
Signing Team: The team that signed the player to the contract (e.g., HELLHOUNDS, PANDAS).
Contract Type: The type of contract (Rookie, Extension, FA Signing, IA Contract).
Contracted Team: The team that the player is contracted to (S1 : S3).
Contract Conditions: The conditions of the contract (S1 : S3).
TPE Salary: The total player exception salary (S1 : S3 = 2:6).
Contract End: The season in which the contract expires.
Contract End Reason: The reason for the contract's expiration (Player Inactive, Contract Expired, Player Option, Team Option, Mutual Option, Released).

Q: How will the TPE Salary be calculated?

A: The TPE Salary will be calculated using the following formula:

TPE Salary = (S1 + S2 + S3) / 3

Q: How will the Contract End Reason be calculated?

A: The Contract End Reason will be calculated using the following formula:

Q: What is the Contract Type and how will it be calculated?

A: The Contract Type will be one of the following:

Rookie: A contract signed by a player who has never played in the league before.
Extension: A contract extension signed by a player who is already under contract.
FA Signing: A contract signed by a player who is a free agent.
IA Contract: A contract signed by a player who is an international player.

The Contract Type will be calculated using the following formula:

Q: How will the contract dataset be maintained?

A: The contract dataset will be regularly updated to reflect changes in contract status, player movement, and team roster. This will ensure that the dataset remains accurate and up-to-date.

Q: What is the data quality process for the contract dataset?

A: The data quality process for the contract dataset will involve the following steps:

Data Collection: Gather contract information from various sources, including team management, player agents, and league officials.
Data Cleaning: Verify the accuracy and consistency of the collected data, ensuring that all required fields are populated.
Data Transformation: Transform the collected data into the required log format, with each entry containing the necessary contract information.
Data Validation: Validate the transformed data to ensure that it meets the requirements and is free from errors.

By following these steps, the contract dataset will be accurate, complete, and consistent, providing a reliable source of contract information for the league and its teams.