PHPMem v2.0.1

Version
1.6.45
Uptime
15 days 17 hours 14 minutes 2 seconds

Memory

Total
512MB
Used
9,38MB (1.83%)
Free
502,62MB

Keys

Current
11 436
Total (since start)
35 066
Evictions
0
Reclaimed
738
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
7 / 1 024 max
Total
177 101
Rejected
0
llm:ef61f17f956ccd90b8d928d8b293d8232e29ea04095a7768b2da14fa8107baf9
TTL 11 hours 7 minutes 34 seconds Size 1,99KB Export
Edit
{
    "action": "final",
    "content": "## Dataset Overview\n\nThis dataset captures **Indian Premier League (IPL) cricket match records** spanning from the 2008 season through 2026, containing **1,243 individual matches**. It serves as a comprehensive match registry for one of the world's premier Twenty20 cricket tournaments.\n\n## What a Single Row Represents\n\nEach row represents **one complete IPL match**, identified by:\n- **Season** (e.g., \"2007/08\", \"2026\")\n- **Match number** within that season\n- **Date** when the match was played\n\nA single match record contains:\n\n### Core Match Details\n- **Teams**: team1, team2, winner, toss_winner, toss_decision\n- **Venue Information**: city, venue\n- **Match Outcome**: result_type, win_by_runs, win_by_wickets\n- **Scoring**: team1_runs, team1_wickets, team2_runs, team2_wickets\n\n### Match Officials & Recognition\n- **Umpires**: umpire1, umpire2, tv_umpire, reserve_umpire\n- **Match referee**\n- **Player of the match**\n\n### Match Configuration\n- **Match type** and **event name**\n- **Overs limit** and **balls per over**\n- **Gender** classification\n\n## Analytical Scope\n\nThis is a **self-contained, single-table dataset** with no relationships to other tables. All match intelligence exists within these 35 columns—there are no separate tables for player statistics, team rosters, financial data, or fan engagement metrics. The dataset supports analysis of:\n\n- Tournament trends across 18+ seasons (2008-2026)\n- Team performance patterns and head-to-head records\n- Venue characteristics and home advantage\n- Toss decision impact on match outcomes\n- Umpiring assignments and player recognition\n- Temporal patterns (seasonal, monthly, daily match scheduling)\n\nThe data is **observational** in nature—it records what happened in completed matches rather than tracking ongoing events or supporting operational decisions during play."
}