Last Matches

Date Teams ELO Score
07/04/26

1030

+18

1009

-19

2

1

07/04/26

1092

-10

1167

+9

1

2

07/04/26

964

+19

953

-20

2

1

07/04/26

1099

-14

1054

+13

1

2

07/04/26

908

-9

1012

+8

0

2

07/04/26

1086

+14

1064

-15

2

0

07/04/26

1120

-14

1078

+13

1

2

07/04/26

965

-22

932

+21

1

2

07/04/26

1345

-18

1188

+17

0

2

07/04/26

1137

+9

990

-8

2

0

07/04/26

1054

+11

1025

-19

2

1

07/04/26

1016

+9

953

-10

2

1

07/04/26

821

+11

810

-16

1

0

07/04/26

1355

+5

1150

-6

2

0

07/04/26

860

+23

1045

-30

2

1

07/04/26

1208

+7

1062

-8

2

0

07/04/26

1174

+7

974

-10

2

1

07/04/26

1182

+5

972

-8

2

1

07/04/26

1258

-13

1245

+12

0

2

07/04/26

1236

+10

1182

-11

2

0

Top 20 Teams

# Name ELO Matches
1
1600
207
2
1439
220
3
1411
196
4
1406
221
5
1396
202
6
1392
246
7
1360
253
8
1344
302
9
1329
233
10
1327
281
11
1324
225
12
1302
367
13
1300
87
14
1291
310
15
1261
296
16
1260
302
17
1257
299
18
1247
219
19
1246
317
20
1245
298

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.

28546

Total Matches

08/05/2023

First Match Date

2035

Total Teams

07/04/2026

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.