Last Matches

Date Teams ELO Score
16/07/25

1234

+9

1157

-10

2

0

16/07/25

1003

+19

987

-12

2

1

16/07/25

1176

-10

1238

+9

0

2

16/07/25

1105

+8

930

-9

2

0

15/07/25

1239

+9

1178

-10

2

0

15/07/25

1305

-18

1130

+17

1

2

15/07/25

1080

-8

1209

+7

1

2

15/07/25

1092

+7

957

-13

2

0

15/07/25

1170

-12

1179

+11

0

2

15/07/25

1200

-14

1166

+13

0

2

15/07/25

1011

+29

1182

-18

2

0

15/07/25

1223

-12

1241

+11

0

2

15/07/25

1031

+17

990

-15

2

1

15/07/25

1039

-11

1074

+10

1

2

15/07/25

1232

+10

1177

-11

2

1

15/07/25

1178

-12

1198

+11

1

2

15/07/25

1026

+12

1036

-13

2

0

15/07/25

1167

+12

1195

-13

2

1

15/07/25

1217

-17

1064

+16

1

2

15/07/25

1024

-13

1163

+7

0

2

Top 20 Teams

# Name ELO Matches
1
1592
145
2
1470
173
3
1403
167
4
1373
140
5
1367
188
6
1311
161
7
1293
183
8
1292
145
9
1287
189
10
1276
271
11
1275
176
12
1255
174
13
1252
151
14
1249
213
15
1249
173
16
1248
231
17
1248
154
18
1247
172
19
1245
233
20
1243
187

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.

19284

Total Matches

08/05/2023

First Match Date

1533

Total Teams

16/07/2025

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.