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HLTV Adds Economy and Round-Based Filters to CS2 Statistics

News
Nov 10
10 views 3 mins read

HLTV has introduced new economy and round-based filters across its Counter-Strike 2 statistics pages, allowing users to analyze player performances in specific situations. The update, released on November 10, makes it possible to compare ratings during anti-eco rounds, overtime, round victories and other conditions.

The new functionality is available throughout the HLTV statistics database and introduces additional ways to evaluate player performances beyond overall ratings. The update also includes several interface improvements designed to make commonly used filters easier to access.

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Economy filters allow more detailed player comparisons

One of the main additions is the ability to filter statistics based on the economy of both teams. Users can now select their own team’s equipment level alongside the opponent’s purchase to examine performances in different economic situations.

For example, selecting a full buy against an eco allows users to examine how players perform when their team has a significant equipment advantage. The opposite combination makes it possible to analyze performances when facing better-equipped opponents.

HLTV has also introduced options to compare rounds in which players have better, equal or worse equipment than their opponents. These filters provide additional context when evaluating individual statistics and comparing players who may face different economic situations.

Users can try the new system through the HLTV anti-eco statistics page, which displays performances during full-buy rounds against opponents on eco.

Photo Copyright by HLTV

New filters include overtime, hero guns and opening duels

Beyond economy, the update introduces several additional filters that allow users to examine player statistics in particular round situations.

The available options include:

  • Role — filter statistics by player role.
  • Own buy — select the team’s equipment level.
  • Opponent buy — filter by the opponent’s economy.
  • Map result — separate performances in map wins and losses.
  • Round after pistol — examine rounds following the pistol.
  • Opening duel — analyze rounds based on the opening engagement.
  • Segment — separate regulation and overtime.
  • Hero gun — examine situations involving a player with a stronger weapon than their teammates.
  • Multi-kill — filter rounds by multiple kills.
  • Kills — select rounds based on the number of kills recorded.

An additional round-result filter allows users to separate performances in winning and losing rounds.

The filters also work with specialized statistics pages. For example, users can visit the Opening section and examine how frequently players attempt opening duels against opponents with weaker equipment.

The hero-gun filter provides another way to analyze individual performances by identifying situations in which a player has a stronger weapon than their teammates.

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HLTV improves statistics navigation

Alongside the expanded filtering system, HLTV has made several changes to the statistics interface. The minimum maps selector has been moved to the top of the page, while the match-type filter, used to select playoffs or finals, is now positioned in the first row.

The update follows several recent improvements to the platform’s statistical tools. On November 2, HLTV introduced an Advanced tab for player profiles featuring six visualizations designed to provide more detailed performance analysis.

Earlier, on October 19, the website also updated its player attributes system with 29 additional metrics and new statistical tables.

With the latest changes, HLTV users can examine how different match situations contribute to a player’s overall performance. The expanded filtering options provide more context for comparing statistics across teams, tournaments and individual players.

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about Kyoto

Competitive games have always been a big part of my life. I’ve spent years playing CS, reached 3,000 ELO, and I’m still grinding the game today. At the same time, that passion grew into something bigger — now I also cover the CS2 scene, follow its biggest stories, and write for the same community I’m part of as a player.

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