Last Matches

Date Teams ELO Score
31/07/26

914

+11

910

-20

16

13

31/07/26

955

-17

1022

+16

0

2

31/07/26

1005

+17

968

-15

2

1

31/07/26

1049

-19

833

+18

0

2

31/07/26

1159

-16

1067

+15

1

2

31/07/26

989

+12

991

-21

13

4

31/07/26

1055

+20

1055

-16

2

0

31/07/26

1230

+15

1339

-16

2

1

31/07/26

1216

-19

1012

+18

0

2

31/07/26

1202

+4

948

-7

2

1

31/07/26

928

-18

974

+17

14

16

31/07/26

990

-22

970

+16

0

2

31/07/26

1120

+7

998

-8

2

0

31/07/26

925

-11

979

+10

9

13

31/07/26

986

-16

1001

+11

0

2

31/07/26

944

+11

940

-20

1

0

31/07/26

1211

+5

1000

-10

2

0

31/07/26

1010

-15

925

+14

1

2

31/07/26

1084

-15

1017

+14

0

2

31/07/26

947

-19

968

+11

5

13

Top 20 Teams

# Name ELO Matches
1
1540
228
2
1533
244
3
1481
221
4
1398
246
5
1384
265
6
1357
332
7
1348
333
8
1341
388
9
1329
258
10
1323
274
11
1308
105
12
1279
301
13
1271
61
14
1267
244
15
1255
365
16
1254
239
17
1250
321
18
1250
338
19
1245
278
20
1244
239

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.

31690

Total Matches

08/05/2023

First Match Date

2192

Total Teams

31/07/2026

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.