Last Matches

Date Teams ELO Score
24/07/26

1011

-26

922

+15

0

2

24/07/26

1078

-11

1116

+10

1

2

24/07/26

1271

-15

1196

+14

0

2

24/07/26

1138

+22

1563

-23

2

0

24/07/26

1179

+12

1196

-13

2

0

24/07/26

1008

+10

890

-11

2

1

24/07/26

962

+18

1016

-24

2

0

24/07/26

1229

-17

1076

+16

1

2

24/07/26

1168

+8

1048

-14

2

0

24/07/26

1205

-9

1323

+8

1

2

24/07/26

1120

+25

1214

-16

2

0

24/07/26

1149

-14

1110

+13

2

3

24/07/26

808

-8

954

+12

1

2

24/07/26

1079

+10

1049

-11

2

0

24/07/26

1060

-14

1013

+22

0

1

24/07/26

1018

-12

1034

+11

0

2

24/07/26

1119

+16

1269

-17

2

1

24/07/26

1106

+14

1081

-12

2

0

24/07/26

1154

+9

992

-12

2

1

24/07/26

1063

+16

1075

-17

2

0

Top 20 Teams

# Name ELO Matches
1
1540
228
2
1529
242
3
1481
221
4
1410
222
5
1406
264
6
1390
244
7
1357
332
8
1348
333
9
1347
257
10
1331
272
11
1327
386
12
1327
104
13
1318
326
14
1279
301
15
1256
243
16
1255
365
17
1254
239
18
1254
413
19
1252
59
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.

31456

Total Matches

08/05/2023

First Match Date

2174

Total Teams

24/07/2026

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.