Last Matches

Date Teams ELO Score
20/05/26

923

-13

895

+12

1

2

20/05/26

877

+18

927

-23

2

0

20/05/26

1114

-13

1103

+12

1

2

20/05/26

1254

-23

1113

+16

1

2

20/05/26

1046

+9

891

-7

2

1

20/05/26

979

+18

950

-15

2

0

20/05/26

887

+11

882

-12

2

0

20/05/26

1091

+5

884

-8

2

1

20/05/26

990

+17

1012

-13

2

0

20/05/26

1127

+12

1129

-17

2

1

20/05/26

1047

-11

1093

+10

0

2

20/05/26

991

+9

919

-16

2

1

20/05/26

1026

-14

994

+13

1

2

20/05/26

1110

+7

965

-8

2

1

20/05/26

1307

+9

1240

-10

2

0

20/05/26

1177

+9

1101

-10

2

1

20/05/26

1451

+5

1251

-6

2

0

20/05/26

1000

-20

1009

+11

0

2

20/05/26

1023

-15

949

+19

1

2

20/05/26

1354

-17

1228

+16

1

2

Top 20 Teams

# Name ELO Matches
1
1584
222
2
1500
233
3
1456
210
4
1432
217
5
1390
233
6
1365
258
7
1341
311
8
1337
263
9
1316
313
10
1314
246
11
1298
377
12
1297
235
13
1295
95
14
1290
316
15
1287
251
16
1280
289
17
1276
50
18
1274
225
19
1256
404
20
1255
320

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.

29876

Total Matches

08/05/2023

First Match Date

2090

Total Teams

20/05/2026

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.