Last Matches

Date Teams ELO Score
19/10/25

1140

+10

1105

-11

2

1

19/10/25

965

+10

929

-18

2

1

19/10/25

1241

-8

1368

+7

1

2

19/10/25

1108

-16

995

+26

1

2

19/10/25

1202

-17

1066

+16

1

2

19/10/25

1034

-14

982

+22

0

2

19/10/25

1308

-14

1255

+13

2

3

19/10/25

917

+12

837

-10

2

1

19/10/25

915

+14

977

-19

2

0

19/10/25

1255

+10

1212

-11

2

0

19/10/25

935

+18

906

-15

2

1

19/10/25

1145

+6

968

-9

2

0

19/10/25

1171

+12

1177

-13

1

0

19/10/25

990

-7

1151

+6

0

2

19/10/25

1066

+10

1018

-11

2

0

18/10/25

1132

+8

1035

-9

2

1

18/10/25

1005

-13

1144

+7

0

2

18/10/25

899

-9

1000

+14

0

2

18/10/25

1248

-18

1088

+17

1

2

18/10/25

1363

+12

1381

-13

2

1

Top 20 Teams

# Name ELO Matches
1
1547
169
2
1473
192
3
1419
191
4
1383
163
5
1375
218
6
1375
166
7
1370
206
8
1328
190
9
1294
221
10
1293
236
11
1268
263
12
1267
213
13
1265
183
14
1254
257
15
1252
247
16
1249
242
17
1240
251
18
1233
324
19
1230
111
20
1226
271

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.

22425

Total Matches

08/05/2023

First Match Date

1706

Total Teams

19/10/2025

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.