Last Matches

Date Teams ELO Score
16/04/25

1124

+13

1179

-14

2

0

16/04/25

1093

-18

909

+17

1

2

16/04/25

1123

+14

1211

-15

2

1

16/04/25

961

-9

1053

+8

1

2

16/04/25

1155

-11

1202

+10

1

2

16/04/25

998

+8

892

-9

2

0

16/04/25

1158

+14

1224

-15

2

1

16/04/25

1167

+10

1123

-11

2

0

16/04/25

1049

-14

1000

+13

0

2

16/04/25

1211

+13

1245

-14

2

1

16/04/25

1099

+13

1144

-14

2

1

16/04/25

855

-6

1066

+5

0

2

16/04/25

1115

-9

1207

+8

0

2

16/04/25

1183

+8

1063

-14

1

0

16/04/25

925

+19

1010

-15

2

1

16/04/25

1152

-16

1166

+11

0

2

16/04/25

1231

+10

1189

-11

2

0

16/04/25

1136

+11

1122

-12

2

0

16/04/25

1206

+7

1071

-8

2

0

15/04/25

1168

+12

1180

-13

2

0

Top 20 Teams

# Name ELO Matches
1
1531
124
2
1465
159
3
1403
126
4
1396
147
5
1394
147
6
1337
165
7
1329
164
8
1317
163
9
1292
200
10
1282
166
11
1278
171
12
1269
143
13
1261
243
14
1256
56
15
1253
140
16
1241
207
17
1241
56
18
1231
159
19
1230
152
20
1228
126

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.

17225

Total Matches

08/05/2023

First Match Date

1418

Total Teams

16/04/2025

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.