njetuška

njetuška — CS2 Stats

EE76561199092606870[U:1:1132341142]Steam profile ↗✓ No bans

2,793Tracked matches59%Win rate2023Tracked since
CSDB Rating3.7 LearningClutch Specialist
Premier CS Rating12,040Blue band · top ~44.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,040 +363 11 Aug – 7 Oct · 43 days played
9,88512,680peak 12,68011 Aug7 Oct
12,680Peak Premier in tracked matches
1,149Highest Faceit ELO seen on CSDB
41Days played since 2024-11-26

Premier CS Rating

  • 640 below peak (12,680)
  • +1,758 over 30 days · improving
  • Next: Purple band at 15,000 — 2,960 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGnjetuškaPREMIER12,040 · Blue bandPEAK ELO1,149csdb.gg/stats

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Performance scores

Aim51
Positioning36
Utility19

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWLWWWLWWLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.4pp headshot accuracy · −18ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 467ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 470ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 479ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.8 against its own average).

Aim5.1
Utility1.9
Positioning3.6
Opening Duels1.4
Clutch6.0

Strong CT-side openerLimited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 96% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning3.6
Utility1.9
Mechanics2.6
Opening Duels2.2
Win Impact7.9

Composite 3.7/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time492ms−46ms
first ⅓ avg 538ms → last ⅓ avg 492ms
Headshot accuracy7.4%−1.8%
first ⅓ avg 9.2% → last ⅓ avg 7.4%

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.

Personal bests

0.10Best match rating · 13–2 · nuke, 16 Sept →
19%Best headshot accuracy · 13–11 · inferno, 29 Aug →
281msFastest reaction time · 4–0 · ancient, 19 Aug →
13–1Biggest win · ancient, 16 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 65% over 17cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2413–1154%-0.00
infernoA2012–860%-0.03
ancientS1711–665%-0.05
mirageD155–1033%-0.02
dust2B126–650%-0.03
cacheD82–625%-0.07
anubis—41–325%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

17Matches
65%Win rate
1.09Avg K/D
97.9ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
67%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo5100%1.3319.2
Nuke450%1.0513.3
Mirage333%1.0018.3
Anubis250%0.6311.5
Inferno250%0.7811.0
Ancient1100%1.8322.0

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.

7.6%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.4%Spray accuracy
61.7%Counter-strafing
10.5°Preaim
480msReaction time
33.6%T opening success
44.1%CT opening success
0.14Enemies flashed / flash
3.4%Flash assists
4.56HE damage / grenade
0.86Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 7.6047% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1356 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 33.6022% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust216–14-0.0811%7 Oct →
cache8–13-0.092%7 Oct →
inferno13–11-0.082%5 Oct →
ancient13–9-0.0414%5 Oct →
inferno13–10-0.0115%4 Oct →
cache5–13-0.074%3 Oct →
dust213–110.0210%3 Oct →
nuke13–40.038%3 Oct →
ancient9–13-0.0510%2 Oct →
anubis13–70.000%2 Oct →
inferno9–13-0.032%2 Oct →
nuke13–70.033%2 Oct →
mirage9–130.039%1 Oct →
nuke13–90.009%1 Oct →
nuke13–60.029%1 Oct →
nuke13–110.007%30 Sept →
dust211–13-0.046%30 Sept →
ancient7–13-0.1017%27 Sept →
inferno16–14-0.044%27 Sept →
ancient13–40.043%25 Sept →
inferno3–13-0.1316%25 Sept →
inferno13–8-0.0110%24 Sept →
mirage12–16-0.0111%24 Sept →
mirage9–13-0.063%24 Sept →
mirage4–13-0.064%23 Sept →
ancient13–4-0.053%23 Sept →
nuke12–12-0.015%23 Sept →
nuke13–60.0317%22 Sept →
ancient10–13-0.077%20 Sept →
ancient13–10-0.047%20 Sept →
cache9–13-0.070%20 Sept →
ancient13–6-0.099%20 Sept →
nuke10–130.038%19 Sept →
cache8–13-0.0412%19 Sept →
inferno15–15-0.0415%19 Sept →
ancient13–10.029%16 Sept →
nuke13–20.108%16 Sept →
dust213–70.018%16 Sept →
mirage9–130.058%14 Sept →
dust26–130.0819%14 Sept →
mirage13–10-0.0111%14 Sept →
cache1–13-0.147%13 Sept →
nuke9–13-0.037%13 Sept →
nuke13–50.0712%13 Sept →
inferno13–80.0314%12 Sept →
ancient7–13-0.066%9 Sept →
nuke13–70.046%9 Sept →
mirage11–13-0.085%6 Sept →
inferno13–7-0.044%6 Sept →
mirage9–13-0.0513%5 Sept →
nuke3–13-0.076%5 Sept →
anubis7–13-0.0610%5 Sept →
nuke9–13-0.056%3 Sept →
mirage13–10-0.077%2 Sept →
inferno10–13-0.038%2 Sept →
dust25–13-0.086%1 Sept →
nuke13–3-0.0811%31 Aug →
inferno10–13-0.0313%31 Aug →
ancient11–13-0.0513%30 Aug →
inferno15–15-0.0216%30 Aug →
ancient13–60.007%29 Aug →
inferno13–11-0.0419%29 Aug →
mirage8–130.049%29 Aug →
cache13–4-0.056%27 Aug →
inferno13–100.0112%25 Aug →
nuke8–13-0.068%25 Aug →
mirage13–90.0113%24 Aug →
ancient7–13-0.093%23 Aug →
mirage6–130.007%23 Aug →
nuke8–13-0.0311%23 Aug →
inferno5–130.0210%23 Aug →
dust213–5-0.0111%22 Aug →
cache11–3-0.0218%22 Aug →
ancient13–7-0.0511%22 Aug →
inferno9–13-0.0511%22 Aug →
anubis8–13-0.029%21 Aug →
dust213–3-0.0110%21 Aug →
ancient13–10-0.055%21 Aug →
mirage10–13-0.039%21 Aug →
inferno13–2-0.0111%20 Aug →
anubis5–13-0.0510%20 Aug →
nuke13–40.0014%20 Aug →
dust28–13-0.0414%19 Aug →
ancient4–0-0.050%19 Aug →
nuke6–13-0.0510%18 Aug →
mirage16–12-0.074%17 Aug →
inferno16–14-0.0118%17 Aug →
nuke6–13-0.119%17 Aug →
nuke13–110.0613%16 Aug →
dust210–13-0.110%16 Aug →
nuke11–130.049%14 Aug →
ancient13–11-0.0615%14 Aug →
cache10–13-0.0613%13 Aug →
inferno13–9-0.028%13 Aug →
mirage13–5-0.0211%13 Aug →
dust27–13-0.063%13 Aug →
nuke13–70.0210%13 Aug →
nuke9–13-0.037%11 Aug →
dust213–9-0.048%11 Aug →
inferno13–50.014%11 Aug →

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 →

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