Every stat, all in one place
The Krontiv database is the backbone of the platform: 500+ teams, 2,000+ players, and full statistical coverage across four competitive titles. Every entry is cross-referenced against primary data sources and updated after each major event. The database is structured by title, with cross-title records and methodology documentation accessible from the sidebar navigation.
Use the sidebar to navigate between sections. Each category contains descriptive context about the data available, the metrics tracked, and the analytical frameworks applied. The methodology section documents our data sources, normalisation approach, and the known limitations of cross-title comparison.
CS2 (Counter-Strike 2)
Team rankings, player stats (HLTV Rating 2.0, ADR, headshot %, first kill %, clutch rate), map win rates across the active pool (Dust2, Mirage, Inferno, Anubis, Nuke, Ancient, Vertigo), tournament histories, economy round analysis, and rating trend data. CS2 is the most data-transparent esport: every round is a discrete event with measurable inputs and outputs.
Valorant
Team rankings (VLR-style rating), agent pick rates, map control percentages, ability usage data, first blood rates, clutch success, ACS (Average Combat Score), and VCT circuit results. Valorant’s data infrastructure is still maturing, making independent analysis particularly valuable.
League of Legends
Team rankings across LEC, LCS, LCK, and LPL. Champion pick/ban rates, gold differential at 15 minutes, dragon and baron control rates, vision score, KDA, and historical Worlds data. The world’s most-watched esport with the deepest statistical tradition.
Dota 2
Team rankings (DPC points), hero pick rates, net worth graphs, tower damage, team fight contribution, Roshan timing data, and The International archives. The International offers the largest single prize pool in esports history.
Cross-Title Records
Highest individual ratings across all titles, longest win streaks, biggest upsets (measured by ranking differential), largest prize pools, and historical milestones. Cross-title records are flagged where comparison methodology has limitations.
Methodology
Rating normalisation documentation, data source transparency, cross-title comparison methodology and its known limitations, weighting algorithms for team rankings, and confidence interval documentation. This section exists because transparency about methodology is the foundation of analytical credibility.