Telikk — CS2 Stats

76561198000650329[U:1:40384601]

968Tracked matches72%Win rate2024Tracked since
CSDB Rating6.6 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim71
Positioning52
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56368Last 10056%Win rateWLLWWTWLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression9.1
Utility5.3
Positioning5.2
Opening Duels4.3
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.1
Positioning5.2
Utility5.3
Mechanics7.9
Opening Duels4.3
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time580ms−52ms
first ⅓ avg 632ms → last ⅓ avg 580ms
Headshot accuracy16.8%+1.0%
first ⅓ avg 15.8% → last ⅓ avg 16.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — office 10–13
130Biggest win — cache
5Longest win streak
92In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 74% over 19mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A32191359%-0.01
cacheS1914574%-0.03
infernoB179853%-0.01
nukeS128467%0.01
mirageC94544%-0.03
office4040%0.05
ancient2020%-0.01
anubis21150%-0.06
train21150%-0.01
vertigo1010%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
48%Win rate
0.83Avg K/D
70.5ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
29%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage838%0.7911.5
Anubis862%0.7112.4
Dust2667%1.0716.2
Nuke560%1.0614.8
Inferno20%0.488.0
Ancient10%0.417.0
Overpass10%0.6312.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.2%Spray accuracy
85.4%Counter-strafing
9.2°Preaim
570msReaction time
44.4%T opening success
49.6%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
10.31HE damage / grenade
6.14Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–1-0.037%30 Aug
ancient6–130.0111%30 Aug
inferno8–13-0.044%29 Aug
anubis13–4-0.0718%29 Aug
inferno13–80.0223%29 Aug
train12–12-0.0114%27 Aug
dust213–8-0.0120%27 Aug
inferno10–13-0.0612%25 Aug
dust213–110.0726%25 Aug
dust213–11-0.0410%25 Aug
inferno13–8-0.0128%25 Aug
nuke3–13-0.0327%25 Aug
nuke13–90.0320%25 Aug
dust21–10-0.013%24 Aug
dust213–50.0617%24 Aug
inferno13–50.0814%24 Aug
inferno13–100.018%24 Aug
dust29–13-0.0119%24 Aug
dust213–20.0021%24 Aug
cache13–7-0.0525%24 Aug
dust29–30.0819%24 Aug
cache13–3-0.0014%23 Aug
cache7–0-0.0531%23 Aug
dust210–130.0322%23 Aug
nuke13–80.0819%23 Aug
inferno13–40.0210%23 Aug
nuke7–130.0723%23 Aug
cache13–7-0.0217%23 Aug
cache13–9-0.018%23 Aug
inferno13–110.0415%22 Aug
dust23–13-0.0721%22 Aug
cache13–10-0.0720%21 Aug
cache13–00.039%21 Aug
dust26–13-0.0925%21 Aug
dust25–13-0.0716%21 Aug
dust213–10-0.0421%16 Aug
mirage13–7-0.0116%15 Aug
inferno6–13-0.0620%15 Aug
mirage13–7-0.0111%15 Aug
dust213–9-0.0017%15 Aug
anubis8–13-0.0629%15 Aug
nuke13–11-0.0510%15 Aug
nuke12–12-0.0323%14 Aug
train13–5-0.0231%12 Aug
inferno13–10-0.0715%23 Jul
cache13–10-0.029%19 Jul
inferno7–13-0.0418%19 Jul
ancient7–13-0.0217%18 Jul
cache13–10-0.016%18 Jul
dust26–2-0.0411%18 Jul
inferno13–60.028%16 Jul
inferno1–70.0110%16 Jul
cache7–13-0.033%15 Jul
dust213–9-0.0815%15 Jul
dust25–13-0.0411%15 Jul
dust212–12-0.0215%14 Jul
cache13–7-0.0518%14 Jul
cache13–8-0.0513%14 Jul
dust213–40.0123%14 Jul
dust210–13-0.0516%13 Jul
cache11–13-0.0612%12 Jul
mirage8–13-0.0412%12 Jul
dust213–110.017%12 Jul
cache13–4-0.0413%12 Jul
cache3–13-0.077%11 Jul
nuke13–10-0.0117%11 Jul
dust213–8-0.0113%11 Jul
cache13–11-0.0716%7 Jul
cache10–130.0117%6 Jul
cache8–13-0.0224%3 Jul
dust213–11-0.0216%3 Jul
nuke13–50.0019%21 Jun
dust213–11-0.0412%21 Jun
cache13–5-0.0412%19 Jun
inferno6–13-0.0817%19 Jun
mirage8–130.0124%16 Apr
nuke10–13-0.068%16 Apr
mirage12–12-0.0014%14 Apr
mirage5–13-0.0911%13 Apr
dust213–50.0215%13 Apr
nuke13–10-0.0416%12 Apr
dust212–12-0.0414%12 Apr
dust213–3-0.0119%12 Apr
inferno13–9-0.0011%11 Apr
vertigo9–130.0814%11 Apr
dust212–120.0913%28 Mar
inferno6–130.0114%27 Mar
dust210–13-0.048%23 Mar
inferno12–12-0.094%20 Mar
nuke13–20.0512%20 Mar
nuke13–70.0815%20 Mar
office9–13-0.0330%20 Mar
office10–130.1027%20 Mar
mirage13–50.0222%20 Mar
mirage1–13-0.0911%19 Mar
dust213–11-0.0018%18 Mar
office12–120.0722%18 Mar
office10–130.0622%18 Mar
dust213–00.016%18 Mar
dust211–13-0.0120%18 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →