Last Matches

Date Teams ELO Score
12/06/26

1322

-12

1322

+12

1

2

12/06/26

1270

-13

1259

+12

1

2

12/06/26

1015

+9

814

-8

2

0

12/06/26

1079

-10

1157

+9

1

2

12/06/26

1373

+13

1420

-14

2

1

12/06/26

940

-25

860

+14

1

2

12/06/26

979

+23

1039

-19

2

1

12/06/26

1326

+9

1265

-10

2

0

12/06/26

1171

-14

1138

+17

0

1

12/06/26

861

-9

1035

+6

0

2

12/06/26

1130

+9

1064

-10

2

0

12/06/26

872

-9

968

+14

1

2

12/06/26

953

+17

991

-23

2

1

12/06/26

1000

-20

1000

+20

0

2

12/06/26

1132

+6

976

-10

2

0

11/06/26

1432

-10

1517

+9

0

2

11/06/26

1086

+6

896

-7

2

1

11/06/26

1456

+7

1330

-8

2

1

11/06/26

1298

+11

1271

-12

2

0

11/06/26

974

+14

1062

-15

2

1

Top 20 Teams

# Name ELO Matches
1
1588
223
2
1526
237
3
1463
214
4
1422
218
5
1406
241
6
1386
260
7
1350
324
8
1344
319
9
1335
268
10
1334
252
11
1331
323
12
1310
100
13
1309
378
14
1271
411
15
1269
239
16
1262
258
17
1262
54
18
1257
293
19
1255
358
20
1249
317

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.

30615

Total Matches

08/05/2023

First Match Date

2128

Total Teams

12/06/2026

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.