Last Matches

Date Teams ELO Score
03/02/26

1149

-11

1198

+10

0

2

03/02/26

1417

-12

1423

+11

0

2

03/02/26

1082

-18

924

+22

0

2

03/02/26

1191

-16

1089

+25

1

2

03/02/26

1527

+4

1286

-5

2

0

03/02/26

1152

+5

961

-8

2

0

03/02/26

937

+19

925

-12

2

1

03/02/26

1055

-8

1191

+7

1

2

03/02/26

1082

-9

1177

+8

1

2

03/02/26

1347

-9

1459

+8

1

2

03/02/26

1251

-6

1456

+5

1

2

03/02/26

1081

-15

995

+19

1

2

03/02/26

1212

-17

1079

+16

0

2

03/02/26

1016

+12

1033

-13

2

0

03/02/26

1180

+11

1178

-12

2

1

03/02/26

1065

-10

1140

+9

1

2

03/02/26

1209

-18

1040

+17

1

2

03/02/26

1416

+7

1289

-8

2

0

03/02/26

1227

-7

1411

+6

0

2

03/02/26

1138

+14

1204

-15

2

0

Top 20 Teams

# Name ELO Matches
1
1531
194
2
1467
210
3
1461
229
4
1434
205
5
1405
187
6
1338
204
7
1336
183
8
1329
259
9
1327
232
10
1320
285
11
1282
273
12
1281
344
13
1281
235
14
1250
300
15
1248
276
16
1245
205
17
1236
310
18
1234
202
19
1231
68
20
1220
242

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.

25232

Total Matches

08/05/2023

First Match Date

1879

Total Teams

03/02/2026

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.