Last Matches

Date Teams ELO Score
07/06/26

1110

-9

1200

+11

0

2

07/06/26

1319

+10

1270

-11

13

2

07/06/26

1173

+7

1052

-8

2

1

07/06/26

1274

-13

1249

+12

8

13

07/06/26

1256

+14

1338

-15

13

11

07/06/26

1297

-14

1243

+13

6

13

07/06/26

1084

-16

969

+15

1

2

07/06/26

1050

+7

909

-8

2

1

07/06/26

1004

-11

1053

+10

1

2

07/06/26

1000

+21

1020

-22

2

0

07/06/26

1057

-20

991

+19

0

1

07/06/26

985

+15

1078

-21

1

0

07/06/26

881

-9

1000

+13

1

2

07/06/26

999

+20

1000

-21

2

0

07/06/26

1051

-18

886

+28

0

1

06/06/26

1506

+5

1280

-6

13

1

06/06/26

1250

-12

1259

+11

10

13

06/06/26

980

+14

1044

-15

2

1

06/06/26

1308

+11

1288

-12

13

9

06/06/26

1089

-9

1189

+11

1

2

Top 20 Teams

# Name ELO Matches
1
1584
222
2
1511
235
3
1456
213
4
1432
217
5
1411
239
6
1365
258
7
1338
266
8
1334
248
9
1332
316
10
1329
322
11
1323
320
12
1315
97
13
1298
377
14
1283
238
15
1281
291
16
1276
257
17
1270
407
18
1262
54
19
1261
330
20
1261
321

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.

30515

Total Matches

08/05/2023

First Match Date

2123

Total Teams

07/06/2026

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.