Last Matches

Date Teams ELO Score
22/01/25

1012

+17

971

-15

13

10

22/01/25

1056

+8

954

-15

13

5

22/01/25

991

+11

970

-16

13

4

22/01/25

1103

+6

917

-11

13

5

22/01/25

1151

-19

924

+18

0

2

22/01/25

1040

-13

1022

+12

7

13

22/01/25

1018

-24

956

+23

11

13

22/01/25

823

-14

882

+9

5

13

22/01/25

1048

+11

1043

-12

2

0

22/01/25

1009

+13

1054

-14

13

9

22/01/25

975

-19

1000

+18

10

13

22/01/25

799

-11

846

+10

0

2

22/01/25

872

+10

838

-15

13

3

22/01/25

1009

+9

798

-6

13

9

22/01/25

978

-18

1015

+17

7

13

22/01/25

1050

-10

1258

+5

7

13

22/01/25

1030

-8

1151

+7

6

13

22/01/25

1014

+13

888

-11

13

3

22/01/25

995

+20

999

-21

13

8

22/01/25

1000

+9

804

-6

13

8

Top 20 Teams

# Name ELO Matches
1
1444
125
2
1434
138
3
1431
107
4
1408
111
5
1352
141
6
1346
124
7
1343
142
8
1316
122
9
1312
143
10
1285
133
11
1284
267
12
1269
135
13
1263
160
14
1248
257
15
1242
180
16
1241
90
17
1238
150
18
1238
146
19
1237
177
20
1236
70

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.

14175

Total Matches

08/05/2023

First Match Date

1291

Total Teams

22/01/2025

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.