Last Matches

Date Teams ELO Score
05/03/26

885

-13

965

+9

1

2

05/03/26

1014

+16

945

-17

2

0

05/03/26

902

-14

865

+13

1

2

05/03/26

1000

+17

948

-18

2

1

05/03/26

984

+14

1055

-15

2

1

05/03/26

947

+21

971

-13

2

0

05/03/26

997

+10

954

-15

2

0

05/03/26

1046

-24

990

+23

1

2

05/03/26

1062

+8

882

-7

2

0

05/03/26

1146

-13

1122

+21

0

2

05/03/26

975

+21

1000

-22

2

0

05/03/26

1168

+13

1224

-14

2

0

05/03/26

1227

+9

1151

-10

2

1

05/03/26

1042

-20

1047

+15

0

2

05/03/26

949

+12

953

-17

2

0

05/03/26

1244

-27

989

+19

0

2

05/03/26

899

+14

877

-12

2

1

05/03/26

1213

+9

1137

-10

2

0

05/03/26

1136

+10

1101

-11

2

0

05/03/26

1296

+8

1186

-9

2

0

Top 20 Teams

# Name ELO Matches
1
1579
202
2
1466
212
3
1453
237
4
1437
215
5
1416
191
6
1349
239
7
1332
189
8
1324
272
9
1304
215
10
1285
291
11
1277
351
12
1269
76
13
1266
284
14
1262
293
15
1262
287
16
1259
384
17
1258
310
18
1257
56
19
1256
239
20
1254
214

ELO Clarity Powered by Data Accuracy

CS ELO Analyzer is a comprehensive web application designed for the analysis of competitive matches played in Counter-Strike 2, utilizing data sourced from HLTV. Our platform employs advanced algorithms to compute and adjust the ELO ratings of teams based solely on match results, reflecting a classic ELO system similar to that used in chess, but specifically tailored for the dynamics of CS2.

26615

Total Matches

08/05/2023

First Match Date

1937

Total Teams

05/03/2026

Last Match Date

How It Works:

Match Analysis

We gather data on numerous matches, including team performances and match outcomes. This comprehensive data allows us to create a reliable framework for analysis.

ELO Calculation

Using adapted formulas that consider the unique aspects of Counter-Strike gameplay, we calculate ELO ratings for each team. These formulas account for factors such as the relative strength of the teams involved, the match result, and the historical performance of the teams.

Dynamic Updates

As new matches are played, ELO ratings are automatically updated to reflect the latest performance metrics. This ensures that users have access to the most current and accurate team rankings.

Predictive Analytics

Our platform leverages artificial intelligence to forecast outcomes of upcoming matches based on several factors, including team ratings, current form, historical matchups, and other relevant statistics. This predictive model enhances strategic decision-making for fans and analysts alike.

User-Friendly Interface

Our web application offers an intuitive interface that displays the latest match results, top teams, and comprehensive statistics, making it easy to navigate and find the necessary information.