Last Matches

Date Teams ELO Score
01/06/25

1056

+11

952

-9

2

0

31/05/25

1125

+10

1069

-11

2

1

31/05/25

959

+13

848

-12

2

0

31/05/25

1108

-16

1010

+20

0

2

31/05/25

936

+26

1047

-27

2

1

31/05/25

1198

-17

1050

+16

1

2

31/05/25

963

-16

970

+19

1

2

31/05/25

1200

+10

1157

-11

2

0

31/05/25

1040

-14

997

+22

0

2

31/05/25

1017

+11

995

-19

2

0

31/05/25

1061

+11

1049

-16

2

1

31/05/25

1089

+19

1332

-20

2

0

31/05/25

1036

+8

939

-12

2

0

31/05/25

1008

+9

930

-16

2

0

31/05/25

914

+17

954

-23

2

0

31/05/25

977

-20

979

+19

0

1

31/05/25

900

+14

982

-25

1

0

31/05/25

1128

-10

1189

+9

0

2

31/05/25

1090

-13

1085

+12

0

2

31/05/25

984

-12

995

+15

0

2

Top 20 Teams

# Name ELO Matches
1
1590
138
2
1471
169
3
1410
160
4
1364
135
5
1363
180
6
1336
156
7
1332
141
8
1315
180
9
1312
166
10
1273
173
11
1272
60
12
1270
141
13
1268
263
14
1267
226
15
1261
147
16
1261
148
17
1260
249
18
1257
203
19
1245
177
20
1239
172

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.

18369

Total Matches

08/05/2023

First Match Date

1480

Total Teams

01/06/2025

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.