Last Matches

Date Teams ELO Score
18/02/26

1166

-18

993

+17

0

2

18/02/26

932

-15

870

+14

0

2

18/02/26

1101

+11

1073

-12

2

0

18/02/26

1122

+16

1052

-10

2

0

18/02/26

1030

+17

1209

-18

2

0

18/02/26

1006

-8

1152

+7

0

2

18/02/26

1070

+11

1042

-19

2

0

18/02/26

1130

+6

972

-7

2

0

18/02/26

1156

+8

1061

-15

2

0

18/02/26

1034

+12

958

-10

2

1

18/02/26

1330

+11

1325

-12

2

0

18/02/26

1090

-17

961

+16

1

2

18/02/26

846

+22

895

-19

2

0

18/02/26

932

-8

1130

+7

0

1

18/02/26

1012

-14

977

+22

1

2

18/02/26

1121

+9

977

-10

2

0

18/02/26

1062

+17

1019

-15

2

0

18/02/26

1104

+6

917

-7

2

0

18/02/26

1243

-9

1334

+8

1

2

18/02/26

930

-14

1038

+8

0

1

Top 20 Teams

# Name ELO Matches
1
1566
199
2
1470
236
3
1466
212
4
1435
212
5
1432
190
6
1349
236
7
1342
264
8
1341
188
9
1334
288
10
1313
210
11
1281
350
12
1275
284
13
1274
276
14
1256
239
15
1237
51
16
1235
302
17
1234
210
18
1234
202
19
1234
73
20
1222
377

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.

25842

Total Matches

08/05/2023

First Match Date

1910

Total Teams

18/02/2026

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.