{
    "action": "final",
    "content": "This dataset is designed for analysing and predicting the outcomes of boxing matches. It consists of two standalone tables that capture different aspects of the sport: individual fighter profiles and specific match records.\n\nHere is what a single row represents in each table:\n\n### 1. `raw.fighters` (2,760 rows)\nA single row represents an **individual boxer**. It provides a snapshot of their career statistics and physical attributes.\n* **Career Record:** Total wins, losses, draws, and their knockout (KO) rate.\n* **Physical & Demographic Attributes:** Stance (e.g., Orthodox), age, height, reach, and country of origin.\n\n### 2. `raw.popular_matches` (152 rows)\nA single row represents a **specific boxing match** between two fighters (`opponent_1` and `opponent_2`). It captures the conditions of the fight, comparative statistics for both fighters, and the final outcome.\n* **Match Details:** The date, location (`place`), and the final `verdict`.\n* **Fighter Match Stats:** Detailed, estimated metrics for both opponents going into the fight. This includes their estimated punch power, punch resistance, ability to take a punch, total rounds boxed, KO percentages (both delivering and receiving), and average weight."
}