csgo-alltime-stats

Script for fetching and aggregating your matchmaking data using this official feature:

https://www.reddit.com/r/GlobalOffensive/comments/8lyzb6/so_the_steam_client_has_been_keeping_track_of/

Security

The tool will ask you for user name, password (and 2 factor auth). The data is only used to login to the site and to grab the cookie data. The code is completely open source and quite compact, so have a look for yourself.

Requirements

• Python + pip are installed

Installation

Clone this repository.

Install dependencies. I recommend using virtualenv to create a dedicated environment.

pip install requests rsa beautifulsoup4 dotmap progressbar2 tinydb

Fetching data

python fetch_stats.py

Enter api key, username, password and steam guard two factor code or email auth code. A progress bar will be shown, because the first time you run this, this can take a while. Some player id resolving is performed, so that bans can be easliy looked up later. Consecutive calls will try to reuse data entered and fetched before (api key, login cookie are also stored, but cookie expires after a day).

All data will be store in one file: csgo-alltime-stats.db

Displaying overall stats

python aggregate_stats.py

Will show a simple overview of the 10 players with most matches (you (and your friends)). This is very much work in progress

Example output

player1 -> Number of Matches: 571, K/D : 1.17, Avg K: 19.36, D: 16.61, A: 4.36
player2 -> Number of Matches: 377, K/D : 1.07, Avg K: 18.58, D: 17.42, A: 5.02
player3 -> Number of Matches: 316, K/D : 1.43, Avg K: 22.96, D: 16.04, A: 4.42
player4 -> Number of Matches: 226, K/D : 0.81, Avg K: 15.27, D: 18.89, A: 4.57
player5 -> Number of Matches: 162, K/D : 0.96, Avg K: 16.06, D: 16.65, A: 3.89
player6 -> Number of Matches: 152, K/D : 0.58, Avg K: 10.48, D: 18.09, A: 3.99
player7 -> Number of Matches: 72, K/D : 0.57, Avg K: 9.85, D: 17.22, A: 2.90
player8 -> Number of Matches: 59, K/D : 0.95, Avg K: 18.71, D: 19.76, A: 3.90
player9 -> Number of Matches: 27, K/D : 0.93, Avg K: 18.59, D: 19.89, A: 4.41
player10 -> Number of Matches: 15, K/D : 0.78, Avg K: 14.47, D: 18.67, A: 4.40

Checking bans in all players you have played with

python check_bans.py

The output will look like this:

Total players in my games: 3915
Players with VAC bans: 381
Players with game bans: 85

For now these include all bans (not necessarily csgo).