Last Matches

Date Teams ELO Score
21/02/26

1038

-7

1203

+6

1

2

21/02/26

992

-10

1056

+13

1

2

21/02/26

982

+10

930

-11

2

1

21/02/26

1045

+13

1000

-18

2

0

21/02/26

910

+25

1000

-26

2

1

21/02/26

1569

+5

1365

-6

2

0

21/02/26

1028

-21

1022

+20

1

2

21/02/26

1000

-25

929

+24

0

2

21/02/26

1212

+4

977

-5

2

0

21/02/26

1062

+9

913

-8

2

0

21/02/26

1014

+9

950

-10

2

1

21/02/26

1001

-16

887

+15

1

2

21/02/26

996

-14

952

+18

1

2

21/02/26

1291

+4

1049

-8

2

1

21/02/26

923

+16

930

-21

2

0

21/02/26

1357

+14

1443

-15

2

0

21/02/26

1131

+4

876

-5

2

1

21/02/26

1036

+18

1094

-14

2

1

21/02/26

1045

+11

939

-9

2

1

21/02/26

1086

-16

966

+26

1

2

Top 20 Teams

# Name ELO Matches
1
1574
201
2
1466
212
3
1453
237
4
1428
214
5
1416
191
6
1371
266
7
1359
238
8
1334
288
9
1332
189
10
1313
210
11
1295
287
12
1283
278
13
1277
351
14
1258
54
15
1256
239
16
1248
304
17
1244
379
18
1234
210
19
1234
202
20
1234
73

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.

25998

Total Matches

08/05/2023

First Match Date

1916

Total Teams

21/02/2026

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.