Last Matches

Date Teams ELO Score
28/03/26

1080

+6

924

-12

1

0

28/03/26

990

-23

954

+22

0

2

28/03/26

1082

+12

1109

-13

13

5

28/03/26

975

+19

961

-20

2

0

28/03/26

1105

+10

1049

-17

2

0

28/03/26

1212

+4

963

-8

2

0

28/03/26

1026

+8

918

-14

2

0

28/03/26

1017

-8

1147

+7

0

2

28/03/26

951

-20

960

+11

0

2

28/03/26

972

-27

858

+15

0

2

28/03/26

941

+14

1029

-25

2

1

28/03/26

980

+18

951

-19

2

0

28/03/26

1245

-16

1133

+15

1

2

28/03/26

1203

+4

931

-7

1

0

28/03/26

934

+10

900

-11

2

0

28/03/26

942

+21

976

-22

2

1

28/03/26

947

+13

984

-23

2

1

28/03/26

927

+24

1000

-25

2

1

28/03/26

1242

+6

1057

-7

13

8

28/03/26

865

-7

1039

+10

0

2

Top 20 Teams

# Name ELO Matches
1
1595
206
2
1439
220
3
1411
196
4
1406
221
5
1392
200
6
1392
246
7
1363
249
8
1357
276
9
1330
363
10
1302
295
11
1292
222
12
1277
294
13
1274
222
14
1269
84
15
1259
292
16
1249
294
17
1249
58
18
1248
301
19
1231
236
20
1229
313

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.

27796

Total Matches

08/05/2023

First Match Date

2006

Total Teams

28/03/2026

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.