Last Matches

Date Teams ELO Score
27/01/26

1091

+10

1037

-14

2

0

27/01/26

1048

-15

1088

+10

1

2

27/01/26

1215

-18

1045

+29

0

2

27/01/26

983

-21

966

+12

0

2

27/01/26

1005

+15

919

-10

2

0

27/01/26

853

+14

939

-25

2

0

27/01/26

1028

-12

1040

+11

0

2

27/01/26

1171

-16

1073

+15

0

2

27/01/26

1067

-17

935

+16

1

2

27/01/26

1076

+13

956

-9

2

0

27/01/26

989

-19

933

+13

1

2

27/01/26

1067

-12

1071

+15

0

2

27/01/26

906

+13

956

-23

2

0

27/01/26

1234

+3

946

-7

2

0

27/01/26

1015

-10

1216

+5

0

2

27/01/26

991

-29

837

+16

0

2

27/01/26

1054

-14

996

+13

1

2

27/01/26

1064

-16

1082

+18

1

2

27/01/26

1153

-15

1089

+18

1

2

27/01/26

931

+15

847

-10

2

1

Top 20 Teams

# Name ELO Matches
1
1523
191
2
1459
225
3
1446
207
4
1420
183
5
1343
255
6
1342
180
7
1323
281
8
1300
232
9
1282
273
10
1247
199
11
1241
338
12
1238
225
13
1237
275
14
1226
62
15
1224
280
16
1221
143
17
1216
198
18
1201
295
19
1201
373
20
1201
276

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.

25014

Total Matches

08/05/2023

First Match Date

1867

Total Teams

27/01/2026

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.