jatzina zutch

jatzina zutch — CS2 Stats

MK76561198293822543[U:1:333556815]Steam profile ↗✓ No bans

1,786Tracked matches33%Win rate2020Tracked since
2,663Hours in CS7Hrs last 2 wks
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating12,576Blue band · top ~41.2% of ranked players (population est.)
CSDB Leaderboard#29789 of 44104 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate42.0%44.7%46.1%4.1% short
Shot accuracy14.0%11.9%12.6%above
Kill/death ratio0.901.041.050.16 short
Match win rate47.6%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjatzina zutchFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER12,576 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning37
Utility59

0–100 skill scores via Leetify.

Recent form

COLD4753Last 10047%Win rateLLLWWLLLWL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression1.0
Utility5.9
Positioning3.7
Opening Duels0.0
Clutch5.6

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 75% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 591ms 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

Aim7.3
Positioning3.7
Utility5.9
Mechanics7.8
Opening Duels0.3
Win Impact0.0

Composite 4.8/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time597ms−48ms
first ⅓ avg 645ms → last ⅓ avg 597ms
Headshot accuracy15.5%−2.4%
first ⅓ avg 17.9% → last ⅓ avg 15.5%

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

0.14Best rating — mirage 13–3
132Biggest win — ancient
4Longest win streak
L3Current streak
46In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 75% over 16dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC2181338%-0.00
infernoC2181338%-0.03
cacheA1911858%-0.02
anubisS1612475%-0.01
ancientD124833%-0.02
dust2D61517%-0.03
nuke42250%-0.02
train110100%0.02

Across the last 100 tracked matches.

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

Lifetime stats

58,501Lifetime kills
0.90K/D
3,032Matches
47.6%Match win rate · Top 50% of Level 6 players
42.0%Headshot %
14.0%Shot accuracy · Top 50% of Level 6 players
6,641MVPs
2,666Hours (in match)
4,792Bombs planted
813Bombs defused

Most-used weapons

AK-4725,689
MAC-102,150
FAMAS1,845
MP91,588
AWP1,421
P250877

Lifetime map wins

6,156inferno
2,677dust2
1,825vertigo
1,634train
1,361nuke
36lake
27office
19sugarcane

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

255Matches
52%Win rate
1.04Avg K/D
72.8ADR
37%Headshot %

Clutches & streaks

48%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1953%0.9613.5
Train1675%1.1015.7
Anubis1553%1.2115.1
Ancient1443%0.8213.8
Dust21145%1.0914.4
Inferno617%0.8113.2
Overpass5100%1.2618.6
Nuke10%0.699.0

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.

15.4%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.9%Spray accuracy
85.0%Counter-strafing
9.9°Preaim
591msReaction time
20.4%T opening success
32.6%CT opening success
0.64Enemies flashed / flash
5.5%Flash assists
10.84HE damage / grenade
8.09Flashes / 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 20.4145% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0117%30 Aug
mirage6–13-0.0513%29 Aug
anubis10–130.0023%29 Aug
anubis13–7-0.0215%23 Aug
inferno13–9-0.0110%23 Aug
mirage8–13-0.0814%21 Aug
inferno4–13-0.018%21 Aug
ancient5–130.0713%16 Aug
cache13–6-0.0329%16 Aug
cache11–130.0621%14 Aug
inferno13–10-0.007%13 Aug
mirage9–130.0318%11 Aug
inferno12–160.0017%11 Aug
dust24–13-0.0421%9 Aug
mirage3–13-0.0625%6 Aug
cache2–130.018%5 Aug
dust26–13-0.066%4 Aug
inferno10–13-0.0112%3 Aug
anubis13–9-0.0026%3 Aug
dust211–13-0.0118%3 Aug
anubis13–30.0113%2 Aug
inferno13–5-0.0222%2 Aug
mirage13–70.1324%2 Aug
ancient8–13-0.0716%2 Aug
cache13–9-0.0314%2 Aug
inferno2–13-0.0520%1 Aug
anubis13–80.018%1 Aug
cache6–13-0.057%31 Jul
inferno9–13-0.019%30 Jul
mirage4–13-0.004%30 Jul
ancient8–13-0.0814%30 Jul
mirage9–130.0219%30 Jul
inferno13–7-0.0521%29 Jul
cache13–8-0.0912%29 Jul
mirage13–40.0614%28 Jul
cache10–13-0.1016%28 Jul
anubis13–5-0.0314%27 Jul
cache9–130.0417%27 Jul
train13–100.0212%27 Jul
inferno8–130.009%25 Jul
inferno13–60.0215%25 Jul
mirage13–30.1419%25 Jul
inferno8–13-0.0219%24 Jul
nuke13–9-0.069%24 Jul
inferno4–13-0.086%24 Jul
inferno13–6-0.0123%23 Jul
ancient12–16-0.0113%23 Jul
ancient13–110.0015%23 Jul
anubis13–40.0422%23 Jul
anubis13–9-0.0411%22 Jul
cache13–9-0.0110%22 Jul
inferno10–13-0.0623%22 Jul
anubis13–60.0629%22 Jul
inferno13–8-0.0610%20 Jul
mirage9–13-0.0419%20 Jul
dust21–5-0.0133%20 Jul
dust213–16-0.0413%20 Jul
inferno13–60.0012%20 Jul
cache13–30.0015%19 Jul
anubis2–13-0.0122%19 Jul
inferno11–13-0.0319%18 Jul
mirage10–130.0025%17 Jul
nuke10–130.0020%17 Jul
mirage16–130.0120%16 Jul
cache13–90.0522%16 Jul
ancient16–140.0014%15 Jul
cache10–13-0.0941%14 Jul
cache13–8-0.0717%14 Jul
cache8–13-0.0330%13 Jul
anubis11–13-0.0322%13 Jul
cache13–8-0.0213%13 Jul
mirage13–60.0024%13 Jul
cache9–130.0325%12 Jul
dust213–5-0.0217%12 Jul
anubis13–40.0221%12 Jul
mirage9–13-0.0713%12 Jul
mirage7–13-0.0715%10 Jul
nuke14–16-0.017%10 Jul
mirage13–60.0120%10 Jul
cache13–100.0221%10 Jul
inferno7–13-0.0426%10 Jul
cache16–12-0.0123%9 Jul
anubis7–13-0.0731%9 Jul
mirage13–50.0124%9 Jul
ancient10–13-0.0416%8 Jul
cache13–10-0.0519%7 Jul
ancient10–13-0.0418%28 Jun
nuke13–8-0.0115%28 Jun
inferno8–13-0.0812%14 Jun
ancient13–2-0.0114%14 Jun
anubis13–6-0.028%11 Jun
ancient5–13-0.0118%10 Jun
mirage6–13-0.0312%8 Jun
anubis16–14-0.0620%8 Jun
ancient10–13-0.065%7 Jun
mirage13–80.0220%7 Jun
mirage5–13-0.1024%30 May
ancient13–10-0.0522%29 May
inferno9–13-0.0714%18 May
anubis13–11-0.058%13 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →