Last Matches

Date Teams ELO Score
13/05/26

1248

-17

1125

+16

0

2

13/05/26

1267

-11

1312

+10

0

2

13/05/26

1131

-8

1274

+9

0

2

13/05/26

1065

+17

1252

-24

1

0

13/05/26

996

+21

1023

-13

2

0

13/05/26

1208

-12

1232

+14

0

2

13/05/26

1101

+19

1180

-15

2

1

13/05/26

1093

+12

1093

-12

2

0

13/05/26

1133

+16

1256

-17

2

1

13/05/26

1060

+5

867

-6

2

0

13/05/26

1317

-14

1270

+13

0

2

13/05/26

1114

-10

1186

+9

1

2

13/05/26

1409

+7

1259

-8

2

1

13/05/26

885

+14

966

-25

2

0

13/05/26

1070

+11

1044

-12

2

0

12/05/26

1254

+14

1326

-15

2

1

12/05/26

1281

+21

1621

-22

2

1

12/05/26

1165

+12

1177

-17

2

1

12/05/26

845

+12

778

-17

2

0

12/05/26

1027

-10

1109

+12

1

2

Top 20 Teams

# Name ELO Matches
1
1599
219
2
1473
230
3
1447
205
4
1416
213
5
1403
229
6
1375
257
7
1360
260
8
1357
310
9
1322
245
10
1311
94
11
1303
233
12
1302
313
13
1293
375
14
1287
287
15
1283
308
16
1268
369
17
1258
221
18
1256
404
19
1251
246
20
1248
313

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.

29668

Total Matches

08/05/2023

First Match Date

2083

Total Teams

13/05/2026

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.