Last Matches

Date Teams ELO Score
07/03/26

1453

-20

1220

+19

1

2

07/03/26

1058

+10

1021

-11

2

1

06/03/26

944

+17

1127

-18

2

1

06/03/26

1012

+9

933

-10

1

0

06/03/26

975

+15

893

-10

1

0

06/03/26

1437

+5

1245

-6

2

1

06/03/26

995

+17

1151

-23

2

0

06/03/26

1349

+6

1194

-7

2

0

06/03/26

872

+16

875

-13

2

0

06/03/26

1075

-12

1082

+15

0

2

06/03/26

989

+18

962

-15

2

0

06/03/26

1010

+13

1062

-19

2

0

06/03/26

1156

+6

981

-9

2

1

06/03/26

997

-8

1142

+9

1

2

06/03/26

983

-21

878

+15

1

2

06/03/26

961

+17

997

-14

2

1

06/03/26

1093

+9

1005

-10

2

0

06/03/26

1277

+10

1235

-11

2

1

06/03/26

1304

+10

1256

-11

2

0

06/03/26

1048

+10

1006

-11

2

0

Top 20 Teams

# Name ELO Matches
1
1579
202
2
1469
213
3
1442
216
4
1433
238
5
1416
191
6
1355
240
7
1341
190
8
1324
272
9
1314
216
10
1287
352
11
1285
291
12
1266
284
13
1266
215
14
1262
293
15
1262
287
16
1258
310
17
1257
56
18
1256
77
19
1249
385
20
1245
240

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.

26668

Total Matches

08/05/2023

First Match Date

1938

Total Teams

07/03/2026

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.