Last Matches

Date Teams ELO Score
04/07/26

971

-15

1000

+18

0

2

04/07/26

1187

+10

1147

-11

2

0

04/07/26

1052

+15

1051

-12

2

1

04/07/26

1255

+14

1336

-15

2

0

04/07/26

1037

-23

1000

+22

0

2

04/07/26

1230

+10

1200

-11

2

1

04/07/26

1114

+17

1066

-14

2

1

04/07/26

1256

+12

1256

-12

2

1

04/07/26

1231

+11

1227

-12

2

0

04/07/26

1019

+17

973

-18

2

1

04/07/26

920

+18

888

-19

2

0

04/07/26

881

-21

782

+15

1

2

04/07/26

1017

-21

1001

+20

1

2

03/07/26

988

+12

1015

-22

2

0

03/07/26

1358

+8

1255

-9

2

1

03/07/26

888

+14

863

-12

2

1

03/07/26

943

-16

1015

+15

1

2

03/07/26

1091

+8

999

-15

2

0

03/07/26

964

+13

999

-18

2

0

03/07/26

1177

+10

1137

-11

2

0

Top 20 Teams

# Name ELO Matches
1
1563
227
2
1528
241
3
1502
220
4
1410
222
5
1406
264
6
1384
243
7
1366
332
8
1340
256
9
1331
383
10
1323
271
11
1322
103
12
1321
328
13
1318
326
14
1269
362
15
1269
239
16
1268
298
17
1268
235
18
1262
54
19
1254
413
20
1252
75

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.

31039

Total Matches

08/05/2023

First Match Date

2153

Total Teams

04/07/2026

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.