Cigány$oriPEEK Kardo$chegány

Cigány$oriPEEK Kardo$chegány — CS2 Stats

HU76561198957523653[U:1:997257925]Steam profile ↗✓ No bans

660Tracked matches47%Win rate2020Tracked since
1,511Hours in CS19Hrs last 2 wks
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating3,736Grey band · top ~84.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 3,736 -3,996 21 Sept – 2 Nov · 29 days played
3,7367,896peak 7,89621 Sept2 Nov
8,015Peak Premier in tracked matches
38Days played since 2026-09-16

Premier CS Rating

  • 4,160 below peak (7,896)
  • -2,478 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,264 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-23

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate41.3%41.3%41.8%meets
Shot accuracy11.6%12.7%12.2%0.6% short
Kill/death ratio0.980.950.98meets
Match win rate44.3%42.6%43.3%above

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCigány$oriPEEK Kardo$cheg…FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,736 · Grey 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

Aim67
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY32–63–5Last 10032%Win rateLLWWLWLLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −1.4pp headshot accuracy · −59ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 535ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 564ms

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 (+0.8 against its own average).

Aim6.7
Utility5.4
Positioning5.4
Opening Duels2.7
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.

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 584ms 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

Aim6.7
Positioning5.4
Utility5.4
Mechanics6.6
Opening Duels3.4
Win Impact3.9

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.05
first ⅓ avg -0.04 → last ⅓ avg 0.01
Reaction time582ms−26ms
first ⅓ avg 607ms → last ⅓ avg 582ms
Headshot accuracy19.8%+2.7%
first ⅓ avg 17.1% → last ⅓ avg 19.8%

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.

Personal bests

0.14Best match rating · 6–0 · cache, 9 Oct →
41%Best headshot accuracy · 6–13 · mirage, 29 Sept →
414msFastest reaction time · 13–10 · inferno, 28 Sept →
13–4Biggest win · inferno, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
4–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 43% over 7mirageWeakest map · 18% over 28
MapGradePlayedRecordWin rateAvg rating
infernoC3012–1840%-0.02
mirageD285–2318%-0.02
anubisC177–1041%-0.01
cacheD103–730%-0.02
dust2C73–443%-0.04
ancientD72–529%-0.08
nuke—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,913Lifetime kills
0.98K/D · Top 50% of Level 2 players
1,963Matches
44.3%Match win rate · Top 50% of Level 2 players
41.3%Headshot %
11.6%Shot accuracy
3,452MVPs
1,176Hours (in match)
2,577Bombs planted
422Bombs defused

Most-used weapons

Lifetime map wins

6,222inferno
1,169vertigo
945nuke
938dust2
429train
87office
23cbble
11lake

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

Faceit stats

Combat

233Matches
48%Win rate
0.88Avg K/D
64.5ADR
36%Headshot %

Clutches & streaks

48%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1765%0.9311.3
Anubis1553%0.748.7
Mirage1436%0.8312.9
Ancient333%0.7211.3
Nuke20%0.7713.5
Dust210%0.417.0
Train1100%0.8214.0

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.

19.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
25.4%Spray accuracy
79.7%Counter-strafing
6.7°Preaim
584msReaction time
47.3%T opening success
40.1%CT opening success
0.51Enemies flashed / flash
8.0%Flash assists
11.57HE damage / grenade
6.71Flashes / 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.

18% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0315%2 Nov →
mirage9–130.0212%1 Nov →
anubis13–11-0.0210%26 Oct →
inferno8–00.070%25 Oct →
inferno8–130.0024%24 Oct →
inferno13–40.0529%21 Oct →
inferno8–13-0.0533%19 Oct →
anubis3–130.0724%18 Oct →
mirage4–13-0.0712%18 Oct →
anubis13–60.1127%18 Oct →
inferno13–80.0314%17 Oct →
dust213–70.0127%17 Oct →
anubis16–12-0.0011%17 Oct →
anubis4–13-0.0531%17 Oct →
dust213–60.0018%16 Oct →
cache7–130.0122%15 Oct →
inferno13–40.0322%15 Oct →
mirage4–13-0.0413%14 Oct →
mirage8–130.0414%14 Oct →
mirage13–80.0927%14 Oct →
mirage13–4-0.0126%13 Oct →
mirage10–130.0826%13 Oct →
anubis13–10-0.0114%13 Oct →
mirage5–130.0523%12 Oct →
cache7–13-0.0535%12 Oct →
mirage7–13-0.0422%11 Oct →
cache13–11-0.0418%11 Oct →
inferno13–110.0113%10 Oct →
ancient8–130.0019%10 Oct →
mirage11–13-0.0914%9 Oct →
inferno11–13-0.0423%9 Oct →
anubis13–70.1017%9 Oct →
cache6–00.1419%9 Oct →
anubis2–4-0.060%8 Oct →
inferno13–9-0.0617%8 Oct →
anubis1–13-0.083%7 Oct →
cache8–13-0.0712%7 Oct →
inferno10–130.0333%5 Oct →
inferno2–13-0.0229%4 Oct →
ancient1–13-0.0815%3 Oct →
anubis3–10-0.0517%2 Oct →
mirage4–13-0.109%2 Oct →
inferno10–13-0.0631%1 Oct →
ancient13–10-0.1116%1 Oct →
inferno2–13-0.120%30 Sept →
ancient4–13-0.0514%30 Sept →
dust216–13-0.0321%30 Sept →
mirage5–13-0.0924%30 Sept →
anubis14–16-0.0612%29 Sept →
ancient6–13-0.1222%29 Sept →
dust22–13-0.0913%29 Sept →
mirage6–13-0.0541%29 Sept →
ancient6–13-0.1120%28 Sept →
inferno8–13-0.0416%28 Sept →
inferno13–10-0.0910%28 Sept →
inferno5–13-0.0718%27 Sept →
cache15–150.0216%27 Sept →
inferno7–13-0.0721%27 Sept →
inferno6–130.0125%26 Sept →
inferno13–100.1019%26 Sept →
anubis8–13-0.0021%26 Sept →
mirage10–13-0.027%26 Sept →
dust23–13-0.1333%24 Sept →
cache15–15-0.0813%24 Sept →
inferno1–13-0.069%23 Sept →
mirage12–12-0.0624%23 Sept →
mirage8–13-0.0413%23 Sept →
inferno6–13-0.038%23 Sept →
anubis5–13-0.138%22 Sept →
inferno13–11-0.0013%22 Sept →
mirage3–13-0.1010%22 Sept →
mirage9–13-0.0933%22 Sept →
anubis13–50.0315%21 Sept →
anubis8–13-0.0223%21 Sept →
nuke8–13-0.0518%21 Sept →
inferno13–9-0.0020%21 Sept →
anubis4–13-0.0817%20 Sept →
mirage3–13-0.0714%20 Sept →
mirage12–12-0.0333%20 Sept →
mirage13–10-0.0016%19 Sept →
inferno4–13-0.058%19 Sept →
ancient13–9-0.118%19 Sept →
inferno3–13-0.1025%19 Sept →
cache12–16-0.0024%19 Sept →
mirage10–13-0.0616%19 Sept →
mirage15–15-0.0314%18 Sept →
mirage9–13-0.0715%18 Sept →
cache13–10-0.0428%18 Sept →
mirage13–40.0617%18 Sept →
mirage11–130.0117%18 Sept →
cache0–8-0.120%17 Sept →
inferno13–10-0.0516%17 Sept →
dust23–13-0.0530%17 Sept →
inferno13–90.0310%17 Sept →
mirage2–13-0.0910%17 Sept →
anubis13–60.0721%17 Sept →
inferno9–13-0.0226%16 Sept →
mirage6–10.0919%16 Sept →
inferno9–13-0.1211%16 Sept →
inferno7–13-0.0121%16 Sept →

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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