This project conducts a data comparison analysis of the performance of five teams in the CS2 large-scale event in 2025. The research subjects include Team Vitality, Team Falcons, FURIA, Team Spirit and MOUZ. The main focus of this project is on the winning rates, appearance frequencies and overall competitiveness of each team on different maps and at different stages of the competition. The data sources are the public events and statistics of HLTV (HLTV.org, n.d.).
The objective of this project is to compare the performance differences of five top CS2 teams in major tournaments through data analysis. We focus on analyzing the number of matches and win rates of each team on different maps, and further distinguish the data performance in the group stage and knockout stage.
Based on these data, we aim to observe the map preferences, stability, and performance of different teams in crucial game phases. For instance, some teams may perform stably in the group stage but experience a decline in win rates during the knockout stage; others may have a distinct advantage on specific maps. This project can assist readers in more intuitively understanding the overall strength and map pool characteristics of the five teams in the 2025 CS2 tournament (HLTV.org, n.d.).
A notable finding is that the dominant maps of different teams are not entirely the same. Some teams have significantly higher win - rates on certain maps, indicating that they may have an edge in tactical preparation, map understanding, or map - selection strategies.
In addition, the data from the group stage and the knockout stage may show different trends. The data from the group stage can better reflect the overall stability of a team, while the data from the knockout stage can better demonstrate a team's performance ability under high - pressure situations. Therefore, analyzing the different stages of the competition separately allows us to more accurately compare the real competitiveness of these teams.
The data for this project is primarily sourced from the public CS2 tournament and team statistics on HLTV.org. We compiled information such as the number of map rounds, map win rates, tournament stages, and the number of championships of five teams in major tournaments in 2025 using the match records and statistical data on HLTV (HLTV.org, n.d.).
We express our gratitude to HLTV for providing public tournament records and statistical information, which enabled this project to complete data compilation, analysis, and visual presentation.
ReadME - decribes the project overview.
hltv2025 - Data Vituralization
Runcheng Lin rkl5489@psu.edu
zhiheng wang zpw5291@psu.edu
Jiawei Xi jvx5208@psu.edu
HLTV.org. (n.d.). Counter-Strike statistics database. Retrieved May 5, 2026, from HLTV.org.
| Map | The CS2 map played in each record, such as Ancient, Nuke, Mirage, Inferno, or Anubis. |
| Total Maps | The total number of maps played by a team. A larger sample size makes the result more reliable. |
| Wins | The number of maps a team won. This counts individual maps, not full BO3 or BO5 matches. |
| Losses | The number of maps a team lost. |
| Win Rate | The percentage of maps won by a team, calculated as Wins / Total Maps. |
| Map-specific Win Rate | The win rate of a team on a specific map. This helps identify strong maps and weak maps. |
| Target Score | The number of rounds won by the target team on a map. |
| Opponent Score | The number of rounds won by the opponent on the same map. |
| Round Difference | The difference between the team’s rounds and the opponent’s rounds, calculated as Target Score - Opponent Score. |
| Average Round Difference | The average round difference across maps. A higher value suggests stronger map control and dominance. |
| Maps Played | The number of different maps a team has played. This reflects the width of the team’s map pool. |
| Map Pool Coverage | The percentage of the full map pool covered by a team. It shows whether a team has a wide or narrow map pool. |
| Overall Score | A custom final rating used in this project. It combines win rate, map pool coverage, and sample size. |