картошкаклаат?

картошкаклаат? — CS2 Stats

AU76561198066500627[U:1:106234899]Steam profile ↗

957Tracked matches40%Win rate2020Tracked since
CSDB Rating3.5 Learning
Premier CS Rating13,956Blue band · top ~33.9% of ranked players (population est.)
CSDB Leaderboard#3662 of 5358 tracked
FaceitLevel 3 · 885 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGкартошкаклаат?FACEITLevel 3 · 885 ELOSTANDINGTop 90.6% of rankedPREMIER13,956 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning33
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43498Last 10043%Win rateLLWLWLLLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim4.7
Aggression1.6
Utility5.0
Positioning3.3
Opening Duels0.0
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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 34% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim4.7
Positioning3.3
Utility5.0
Mechanics4.6
Opening Duels0.5
Win Impact1.7

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time568ms−43ms
first ⅓ avg 612ms → last ⅓ avg 568ms
Headshot accuracy17.2%+0.1%
first ⅓ avg 17.1% → last ⅓ avg 17.2%

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

0.07Best rating — dust2 9–13
130Biggest win — mirage
4Longest win streak
L2Current streak
54In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 71% over 7dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageC30131743%-0.04
infernoC2391439%-0.05
dust2C1761135%-0.01
ancientC104640%-0.03
anubisC73443%-0.03
cacheS75271%-0.00
nuke41325%-0.05
overpass220100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

293Matches
49%Win rate
0.74Avg K/D
56.3ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
9%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9453%0.6710.5
Inferno5549%0.7010.8
Ancient4549%0.7210.5
Dust22642%0.599.0
Anubis1331%0.6810.0
Cache667%0.8210.2
Nuke540%0.7412.8
Overpass367%1.4111.3

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.

17.2%Headshot accuracy
28.5%Accuracy (enemy spotted)
31.0%Spray accuracy
70.6%Counter-strafing
10.7°Preaim
564msReaction time
18.9%T opening success
34.0%CT opening success
0.71Enemies flashed / flash
4.0%Flash assists
8.58HE damage / grenade
8.00Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 18.8994% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.1021%24 Aug
anubis9–13-0.045%22 Aug
cache13–60.0225%22 Aug
ancient6–130.027%16 Aug
mirage19–16-0.0116%16 Aug
inferno10–13-0.1016%16 Aug
ancient7–13-0.0924%14 Aug
mirage7–13-0.0414%14 Aug
anubis13–4-0.0315%13 Aug
dust213–40.0216%13 Aug
mirage13–16-0.0625%12 Aug
mirage13–11-0.0318%12 Aug
mirage13–0-0.0325%11 Aug
ancient6–13-0.018%10 Aug
inferno19–16-0.0418%9 Aug
ancient9–13-0.0114%9 Aug
nuke3–13-0.0417%8 Aug
mirage9–13-0.0521%8 Aug
dust213–90.0324%8 Aug
mirage10–13-0.0313%7 Aug
dust27–130.0119%7 Aug
mirage9–13-0.0311%6 Aug
ancient13–10-0.0613%6 Aug
inferno13–10-0.0215%6 Aug
anubis2–6-0.0120%6 Aug
mirage13–00.0136%3 Aug
inferno13–8-0.0621%27 Jul
dust27–13-0.1113%27 Jul
inferno8–13-0.0519%27 Jul
mirage11–13-0.0619%27 Jul
inferno12–16-0.0715%27 Jul
mirage13–11-0.0616%27 Jul
ancient13–8-0.059%26 Jul
inferno7–13-0.0221%26 Jul
mirage13–10-0.0420%26 Jul
anubis13–10-0.0424%26 Jul
mirage6–13-0.079%26 Jul
cache9–13-0.0216%26 Jul
anubis15–150.0011%25 Jul
mirage2–13-0.126%25 Jul
inferno7–13-0.0522%24 Jul
cache13–10-0.0210%24 Jul
inferno4–9-0.0712%22 Jul
inferno8–8-0.167%22 Jul
inferno15–15-0.028%22 Jul
mirage13–40.0229%22 Jul
inferno9–4-0.0125%21 Jul
mirage13–10-0.0513%21 Jul
inferno8–8-0.0715%20 Jul
anubis3–13-0.0429%20 Jul
overpass13–7-0.0310%20 Jul
ancient6–13-0.0713%20 Jul
inferno13–80.0415%17 Jul
cache13–10.0510%17 Jul
nuke13–1-0.004%17 Jul
inferno13–10-0.0612%17 Jul
mirage15–15-0.0222%17 Jul
dust25–130.0123%17 Jul
nuke8–13-0.0824%16 Jul
mirage13–9-0.075%16 Jul
dust29–13-0.0525%16 Jul
inferno13–11-0.047%14 Jul
mirage9–13-0.0820%14 Jul
mirage7–13-0.0619%14 Jul
mirage9–13-0.0215%13 Jul
dust29–130.0721%13 Jul
dust22–8-0.0219%13 Jul
mirage1–13-0.0825%13 Jul
mirage13–7-0.0018%12 Jul
inferno13–7-0.0514%12 Jul
cache15–15-0.0414%12 Jul
inferno11–13-0.0517%12 Jul
cache13–7-0.0114%12 Jul
dust213–110.0321%10 Jul
dust24–13-0.0532%10 Jul
ancient8–13-0.0225%10 Jul
dust212–120.0421%9 Jul
dust213–100.0033%7 Jul
cache13–40.0217%7 Jul
inferno12–12-0.0611%7 Jul
mirage10–130.0116%6 Jul
inferno6–13-0.0610%6 Jul
dust213–10-0.0213%6 Jul
ancient13–4-0.026%6 Jul
ancient13–50.0120%5 Jul
inferno9–13-0.079%5 Jul
inferno11–13-0.0122%4 Jul
mirage13–70.0319%4 Jul
dust213–11-0.0415%3 Jul
mirage6–13-0.0218%3 Jul
inferno13–40.0613%3 Jul
nuke14–16-0.0723%3 Jul
mirage13–5-0.0118%2 Jul
mirage9–13-0.0619%29 Jun
overpass13–6-0.0310%29 Jun
dust27–13-0.0419%28 Jun
mirage13–10-0.0410%28 Jun
anubis13–7-0.0417%28 Jun
dust27–13-0.0214%28 Jun
dust29–130.009%26 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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