Last Matches

Date Teams ELO Score
02/09/25

1498

-19

1304

+18

1

2

01/09/25

994

-13

1129

+10

0

2

01/09/25

1261

-13

1258

+12

1

2

01/09/25

1433

-17

1295

+16

0

2

01/09/25

1119

+10

983

-13

2

0

01/09/25

1236

-10

1305

+9

0

2

01/09/25

1549

+4

1304

-5

2

1

01/09/25

1030

-15

971

+23

0

2

01/09/25

1053

-11

1106

+13

0

2

01/09/25

907

-9

1002

+11

0

2

01/09/25

842

+17

1000

-29

2

1

01/09/25

910

-16

925

+11

1

2

01/09/25

969

-11

1007

+17

1

2

01/09/25

1001

+20

1010

-13

2

0

01/09/25

1272

+10

1228

-11

2

0

01/09/25

1171

+10

1136

-11

3

0

01/09/25

1211

-13

1206

+12

1

2

31/08/25

966

+17

919

-11

2

0

31/08/25

1099

+7

883

-6

2

0

31/08/25

1250

+8

1137

-9

2

0

Top 20 Teams

# Name ELO Matches
1
1553
160
2
1479
188
3
1431
201
4
1416
182
5
1336
152
6
1322
172
7
1314
241
8
1312
152
9
1311
185
10
1299
195
11
1283
200
12
1282
250
13
1270
246
14
1270
223
15
1259
200
16
1249
168
17
1248
221
18
1247
101
19
1246
278
20
1242
310

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.

20557

Total Matches

08/05/2023

First Match Date

1605

Total Teams

02/09/2025

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.