Last Matches

Date Teams ELO Score
06/12/25

1333

-12

1346

+11

0

2

06/12/25

1229

-11

1276

+10

0

2

06/12/25

1099

+10

1050

-11

2

0

06/12/25

1000

-24

931

+19

0

2

06/12/25

941

+18

995

-14

2

0

06/12/25

1431

+11

1420

-12

2

1

06/12/25

833

+18

883

-19

3

1

06/12/25

1152

+8

1055

-9

2

1

06/12/25

1144

+15

1233

-16

2

0

06/12/25

989

-13

1132

+12

0

2

06/12/25

853

+21

989

-28

3

0

06/12/25

984

+20

986

-21

13

10

06/12/25

1003

-8

1143

+7

0

2

06/12/25

1095

-12

1104

+11

0

2

06/12/25

1261

+10

1204

-11

2

0

06/12/25

1011

-12

1038

+11

0

1

06/12/25

1119

+13

1000

-14

2

1

06/12/25

1358

-8

1502

+7

0

2

06/12/25

1240

+5

1044

-6

2

1

06/12/25

1022

-16

929

+15

1

2

Top 20 Teams

# Name ELO Matches
1
1509
184
2
1481
220
3
1460
202
4
1442
200
5
1408
176
6
1357
229
7
1350
176
8
1321
198
9
1288
272
10
1286
227
11
1283
263
12
1279
250
13
1271
307
14
1246
336
15
1245
259
16
1243
276
17
1234
196
18
1233
80
19
1228
222
20
1220
54

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.

24020

Total Matches

08/05/2023

First Match Date

1783

Total Teams

06/12/2025

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.