cs2-stats-monitor-5e

Query and monitor 5E CS2 player stats and match performance in real-time with customizable player lists and detailed match analysis.

CS Stats Monitor (Generic)

5E Platform CS2 Stats Query and Real-time Monitoring Tool (Generic Version).

Core Capabilities

1. Query Stats

Query detailed data of the last 5 matches for specified players.

bash

# Query single player's last 5 matches
python {SKILL_DIR}/scripts/cs_monitor.py --once --players <player_name>

# Query multiple players
python {SKILL_DIR}/scripts/cs_monitor.py --once --players player1 player2 player3

# Use default player list (set in config)
python {SKILL_DIR}/scripts/cs_monitor.py --once

2. Real-time Monitoring

Background continuous polling, automatically output reports when new matches are detected.

bash

# Start monitoring (default 60s polling)
python {SKILL_DIR}/scripts/cs_monitor.py --players player1 player2

# Custom polling interval
python {SKILL_DIR}/scripts/cs_monitor.py --players player1 --interval 30

# Reset monitoring state
python {SKILL_DIR}/scripts/cs_monitor.py --reset

Start Method: Use tmux to run monitoring in background, check output regularly.

bash

# Recommended: tmux background run
tmux new-session -d -s cs-monitor
tmux send-keys -t cs-monitor "python {SKILL_DIR}/scripts/cs_monitor.py --players player1 player2" Enter

# Check output
tmux capture-pane -t cs-monitor -p

3. Configuration File (Optional)

Create {SKILL_DIR}/config.json to set default players:

json

{
  "default_players": ["player1", "player2", "player3"],
  "default_interval": 60
}

Data Capabilities

Per Match:

• Core Metrics: Rating, ADR, KAST, RWS, K/D/A
• Kill Details: Headshot rate, first kill, first death, AWP kills, multi-kills (3K/4K/5K)
• Clutches: 1v1~1v5 success count
• Utility: Flash assists, team flashes, utility damage, bomb plants/defuses
• Sides: T-side/CT-side K/D/Rating
• Scoreboard: Full 10-player data

Limitations:

• API returns only last 5 matches, cannot get more history
• Season overview requires login Cookie

Analysis Guidelines

When reviewing match reports, analyze from these dimensions:

1. Core Data Rating: Rating >1.3 excellent, 1.0-1.3 normal, <0.85 poor; ADR >90 strong, 60-90 average, <60 weak
2. Style Judgment: AWP kill ratio, headshot rate, first kill/death ratio, T/CT side differences
3. Stability: Standard deviation of Rating across multiple matches, gap between highest and lowest
4. Team Contribution: KAST (round participation), utility usage, clutch ability
5. If multiple players same match: Horizontal comparison, identify who carried and who underperformed

Language Style: Direct, sharp, with a touch of dark humor. No formalities. Praise when good, roast when bad.

Dependencies

• Python 3.10+
• aiohttp (pip install aiohttp)

Resources

scripts/

• cs_monitor.py — Main monitoring script, supports --once single query and continuous monitoring mode