Hi, I analyze hltv.org as a part of my pet project. This parser can help you build a prematch analytics dataset with data from Team stats and Analytics pages.

Install

pip install hltv-stats

Usage

HLTVMatch provides public methods for Analytics, use filename parameter to save data to a file.

from hltv_stats import HLTVMatch
match_url = "/matches/2361342/natus-vincere-vs-outsiders-iem-katowice-2023"
match = HLTVMatch(match_url)

match.parse_analytics_summary(filename=None)

Response:

[{'team': 'natus-vincere',
  'indicator': 'plus',
  'insight': 'natus vincere has better form ranking',
  'match_id': '2361342'},
    ...
]

match.parse_head_to_head()

Response:

[{'player_team': 'natus-vincere',
  'player_nickname': 's1mple',
  'table_3_months': '1.13',
  'table_event': '1.17',
  'match_id': '2361342'},
    ...
]

match.parse_pick_ban_stats()

Response:

[{'analytics_map_name': 'mirage',
  'team': 'natus-vincere',
  'analytics_map_stats_pick_percentage': '39%',
  'analytics_map_stats_ban_percentage': '0%',
  'analytics_map_stats_win_percentage': '29%',
  'analytics_map_stats_played': '7',
  'analytics_map_stats_comment': 'First pick',
  'match_id': '2361342'},
    ...
]

match.parse_analytics_center() method combines all above methods and returns a tuple of lists.

HLTVTeam provides public methods for parsing Team stats page, with filtering by time using time_filter parameter, use filename parameter to save data to a file.

from hltv_stats import HLTVTeam
team = HLTVTeam("/4608/natus-vincere")
#You can use match_id to assign team's current state(statistic) to specific match
#this will add match_id field to all json files
team.match_id = match.match_id

#time_filter: 3 - last 3 months, 6 - last 6 months, 0 - all time, ...
team.parse_matches(time_filter=1) #returns list of played matches in json format
team.parse_players(time_filter=1) #returns list of team players' statistics in json format
team.parse_maps(time_filter=1) #returns maps statistics in json format
team.parse_events(time_filter=1) #returns events statistics in json format

team.parse_all_stats(time_filter=1)

.parse_all_stats(time_filter=1) method combines all above methods and returns a tuple of lists.

parse_upcoming_matches() method parses all upcoming matches from Match page.

#Parse upcoming matches and save to json files
#:param months: list of months to parse, i.e. [1,3] <=> [last month, last 3 months]
#:param with_teams: bool, if True, parse teams' statistic as well

from hltv_stats import parse_upcoming_matches
parse_upcoming_matches(months=[1], with_teams=True)

Result folder tree contains json files with all match data, and team data if with_teams=True.
.
├── configs - contains 2 config files: which holds data about all parsed matches and teams and are used by is_parsed() method to check if match is already parsed and skips it.
├── output
│   ├── matches 
│   └── teams

Also check out example.ipynb or contact me.

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

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