Last Matches

Date Teams ELO Score
14/06/26

1139

-12

1155

+15

1

2

14/06/26

1105

-8

1232

+7

1

2

14/06/26

1316

+13

1356

-14

2

0

14/06/26

1019

+16

1151

-17

2

1

14/06/26

1129

-10

1213

+9

0

2

14/06/26

928

+24

1000

-25

2

0

14/06/26

1399

-15

1320

+14

1

2

14/06/26

1326

+9

1264

-10

2

1

14/06/26

998

-12

1003

+11

1

2

14/06/26

1197

+8

1100

-9

2

0

14/06/26

1218

-18

1042

+17

1

2

14/06/26

953

-5

1228

+4

1

2

14/06/26

1120

-15

1054

+14

0

2

14/06/26

1103

+14

1166

-15

2

1

14/06/26

1168

+13

1225

-19

2

0

14/06/26

998

-6

1223

+5

0

2

14/06/26

938

+15

1042

-26

2

0

14/06/26

1001

+20

1015

-21

2

0

14/06/26

882

-8

1021

+12

0

2

14/06/26

969

-15

1006

+17

1

2

Top 20 Teams

# Name ELO Matches
1
1574
225
2
1537
239
3
1453
216
4
1438
220
5
1397
261
6
1384
243
7
1353
326
8
1342
322
9
1335
270
10
1334
102
11
1331
325
12
1329
381
13
1320
253
14
1269
239
15
1262
258
16
1262
54
17
1254
413
18
1249
317
19
1248
331
20
1248
232

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.

30707

Total Matches

08/05/2023

First Match Date

2136

Total Teams

14/06/2026

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.