Atilla Leško - ja som Rožňava

Atilla Leško - ja som Rožňava — CS2 Stats

LS76561198117943523[U:1:157677795]Steam profile ↗✓ No bans

645Tracked matches45%Win rate2024Tracked since
1,796Hours in CS2Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating17,110Purple band · top ~20% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 17,110 +3,096 31 Jul – 10 Nov · 24 days played
14,01417,110peak 17,11031 Jul10 Nov
17,110Peak Premier in tracked matches
38Days played since 2026-07-30

Premier CS Rating

  • At peak — 17,110
  • +885 over 30 days · improving
  • +1,756 over 90 days
  • Next: Pink band at 20,000 — 2,890 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches726−19
Win rate57%35%+23pp
K/D1.050.98+0.07
Headshot %42%42%−0pp

Measured 18 Oct 2026 → 14 Nov 2026; previous 15 Sep 2026 → 18 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 rate40.4%44.8%45.7%5.3% short
Shot accuracy12.1%12.4%12.7%0.6% short
Kill/death ratio0.921.031.050.13 short
Match win rate38.4%45.2%45.7%7.3% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Match win rate. 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.GGAtilla Leško - ja som Rož…FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,110 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim66
Positioning66
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWLWTWWLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.9pp headshot accuracy · +38ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.6
Utility5.0
Positioning6.6
Opening Duels4.4
Clutch3.4

Limited 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

jL

Plays most like jL 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 560ms 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

Aim6.6
Positioning6.6
Utility5.0
Mechanics5.7
Opening Duels7.0
Win Impact3.3

Composite 5.9/10 (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 -0.01 → last ⅓ avg 0.00
Reaction time555ms−30ms
first ⅓ avg 585ms → last ⅓ avg 555ms
Headshot accuracy14.7%−0.3%
first ⅓ avg 15.0% → last ⅓ avg 14.7%

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

0.15Best match rating · 10–5 · mirage, 20 Sept →
50%Best headshot accuracy · 0–4 · mirage, 3 Sept →
359msFastest reaction time · 0–6 · inferno, 4 Sept →
13–1Biggest win · dust2, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 56% over 16infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%-0.02
dust2B2512–1348%0.00
cacheA169–756%-0.01
infernoC135–838%-0.00
nukeB105–550%0.00
anubis—42–250%-0.02
ancient—21–150%-0.04
office—21–150%-0.05
overpass—10–10%-0.00
train—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,568Lifetime kills
0.92K/D
2,641Matches
38.4%Match win rate
40.4%Headshot %
12.1%Shot accuracy
6,131MVPs
1,198Hours (in match)
875Bombs planted
1,064Bombs defused

Most-used weapons

AK-4712,428
AWP3,313
P901,153
FAMAS1,077
MP9961

Lifetime map wins

5,429dust2
2,515inferno
935nuke
440train
375office
340vertigo
289cbble
107lake

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

Faceit stats

Combat

120Matches
58%Win rate
0.95Avg K/D
81.8ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3441%0.9512.8
Dust22282%1.0815.9
Inferno1275%1.0313.3
Ancient1275%0.8413.6
Nuke667%1.0412.3
Overpass580%1.3218.2
Cache450%1.1217.3
Anubis450%0.8814.8

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.

14.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
34.5%Spray accuracy
75.8%Counter-strafing
9.6°Preaim
560msReaction time
68.0%T opening success
48.0%CT opening success
0.62Enemies flashed / flash
3.6%Flash assists
6.97HE damage / grenade
3.39Flashes / 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 14.449% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3926 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.1015%10 Nov →
inferno13–11-0.0020%2 Nov →
mirage8–13-0.0322%27 Oct →
inferno13–7-0.0017%27 Oct →
nuke15–15-0.008%18 Oct →
cache13–90.0418%18 Oct →
mirage13–10-0.006%1 Oct →
dust28–130.0118%30 Sept →
anubis2–13-0.0127%28 Sept →
inferno5–130.0011%27 Sept →
cache13–7-0.0218%26 Sept →
mirage9–13-0.0611%26 Sept →
cache13–80.019%26 Sept →
mirage14–16-0.0316%21 Sept →
dust23–13-0.0310%21 Sept →
mirage10–50.1524%20 Sept →
cache7–13-0.026%20 Sept →
dust213–10.0716%20 Sept →
mirage5–13-0.0422%20 Sept →
inferno9–130.0310%17 Sept →
dust24–13-0.0119%17 Sept →
mirage5–13-0.0514%17 Sept →
ancient13–6-0.0313%16 Sept →
dust213–6-0.066%15 Sept →
mirage7–13-0.0217%15 Sept →
nuke10–13-0.0114%12 Sept →
cache8–130.027%11 Sept →
dust213–110.0116%11 Sept →
nuke7–13-0.0022%11 Sept →
mirage13–100.0210%11 Sept →
dust213–9-0.0211%11 Sept →
mirage13–70.0415%10 Sept →
dust212–12-0.0317%10 Sept →
mirage9–13-0.0313%7 Sept →
cache2–6-0.0312%4 Sept →
inferno0–6-0.0111%4 Sept →
nuke13–9-0.0114%3 Sept →
mirage0–4-0.0450%3 Sept →
dust28–13-0.0412%3 Sept →
cache13–100.0317%2 Sept →
dust213–10-0.0313%1 Sept →
inferno13–90.0210%1 Sept →
mirage13–8-0.0618%1 Sept →
mirage13–11-0.006%31 Aug →
cache8–13-0.0012%31 Aug →
dust213–16-0.036%28 Aug →
nuke13–40.1010%28 Aug →
office13–9-0.0318%28 Aug →
mirage9–13-0.0711%28 Aug →
mirage9–13-0.0045%21 Aug →
cache13–11-0.0615%21 Aug →
inferno12–120.0220%21 Aug →
dust26–13-0.0416%20 Aug →
cache13–9-0.0016%20 Aug →
office1–13-0.0617%19 Aug →
cache3–13-0.0519%19 Aug →
dust213–10.0515%19 Aug →
overpass2–5-0.0036%19 Aug →
mirage7–130.0118%19 Aug →
dust25–13-0.0214%19 Aug →
anubis13–80.0215%17 Aug →
mirage13–9-0.084%17 Aug →
dust214–160.0416%15 Aug →
mirage5–13-0.049%15 Aug →
nuke13–1-0.067%15 Aug →
mirage13–100.0211%15 Aug →
dust213–100.0513%15 Aug →
train13–10-0.0217%14 Aug →
dust28–13-0.0521%14 Aug →
cache12–12-0.0511%14 Aug →
nuke4–13-0.0410%13 Aug →
mirage13–100.0110%12 Aug →
anubis11–13-0.0217%12 Aug →
inferno9–13-0.0319%12 Aug →
nuke13–30.099%12 Aug →
cache13–100.0417%12 Aug →
mirage13–11-0.0225%12 Aug →
dust213–90.017%11 Aug →
cache13–7-0.0016%11 Aug →
nuke6–13-0.0611%11 Aug →
inferno13–20.0519%11 Aug →
mirage3–13-0.0418%11 Aug →
dust210–130.0324%11 Aug →
inferno11–13-0.0115%11 Aug →
mirage7–13-0.0317%10 Aug →
inferno13–10-0.0514%9 Aug →
ancient11–13-0.059%9 Aug →
dust213–60.0416%9 Aug →
inferno6–13-0.0710%9 Aug →
cache1–13-0.0625%9 Aug →
anubis13–4-0.0619%9 Aug →
mirage13–8-0.0210%9 Aug →
dust211–13-0.0312%9 Aug →
dust213–30.0313%9 Aug →
nuke11–50.0313%8 Aug →
dust22–13-0.057%8 Aug →
cache13–3-0.009%31 Jul →
mirage13–6-0.0118%31 Jul →
dust213–70.0621%30 Jul →
inferno9–130.0114%30 Jul →

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 →

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