le y kebabish

le y kebabish — CS2 Stats

VA76561198202384456[U:1:242118728]Steam profile ↗✓ No bans

311Tracked matches48%Win rate2020Tracked since
2,966Hours in CS2Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4——
Win rate25%——
K/D0.46——
Headshot %59%——

Measured 19 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 4 among CSDB-tracked players (n=14,247), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.1%42.7%43.7%meets
Shot accuracy15.1%11.3%12.0%above
Kill/death ratio0.890.991.020.13 short
Match win rate43.2%43.9%44.7%1.5% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGle y kebabishFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning39
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateTLTWWWLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.6pp headshot accuracy · +16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 590ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim3.9
Utility5.8
Positioning3.9
Opening Duels0.7
Clutch4.2

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

ZywOo

Plays most like ZywOo 72% 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. 614ms 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

Aim3.9
Positioning3.9
Utility5.8
Mechanics5.3
Opening Duels0.8
Win Impact4.4

Composite 4.1/10 (Developing), 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 rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time610ms−74ms
first ⅓ avg 684ms → last ⅓ avg 610ms
Headshot accuracy19.8%+0.3%
first ⅓ avg 19.5% → 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

0.20Best match rating · 9–1 · overpass, 26 Mar →
57%Best headshot accuracy · 6–13 · train, 22 Mar →
414msFastest reaction time · 4–9 · sanctum, 25 Jan →
13–2Biggest win · mirage, 23 Jan →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 67% over 12vertigoWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.02
ancientS128–467%-0.03
overpassA117–464%-0.00
nukeC114–736%-0.04
mirageA95–456%-0.03
palaisD71–614%-0.07
vertigoD70–70%-0.10
whistleD62–433%-0.09
trainC52–340%-0.04
anubis—40–40%-0.05
poseidon—21–150%-0.08
eldorado—10–10%-0.21
sanctum—10–10%-0.13
dust2—11–0100%-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,169Lifetime kills
0.89K/D
3,693Matches
43.2%Match win rate
44.1%Headshot % · Top 50% of Level 4 players
15.1%Shot accuracy · Top 50% of Level 4 players
8,463MVPs
1,522Hours (in match)
4,112Bombs planted
1,223Bombs defused

Most-used weapons

AK-4716,350
AWP9,339
P902,469
Knife1,640
P2501,427
Tec-91,327

Lifetime map wins

8,332inferno
4,376dust2
1,142nuke
1,100vertigo
706train
598lake
535cbble
445safehouse

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

Faceit stats

Combat

212Matches
52%Win rate
0.86Avg K/D
62.2ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
7%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1354%0.7312.2
Ancient1258%0.8110.8
Overpass862%1.0110.5
Mirage475%0.457.0
Train450%0.7615.3
Anubis475%0.9216.8
Vertigo425%0.7412.5
Cache3100%1.1318.0

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
25.3%Accuracy (enemy spotted)
23.0%Spray accuracy
73.8%Counter-strafing
10.1°Preaim
614msReaction time
24.7%T opening success
36.7%CT opening success
0.55Enemies flashed / flash
3.2%Flash assists
10.10HE damage / grenade
10.08Flashes / 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 24.6704% — below the 40% mark we flag

Spend your practice time on Vertigo

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
poseidon8–8-0.1021%1 Oct →
eldorado3–9-0.2110%1 Oct →
mirage15–15-0.0129%15 Feb →
overpass13–11-0.0513%12 Feb →
mirage13–8-0.0413%6 Feb →
ancient11–20.0019%6 Feb →
overpass10–13-0.0417%1 Feb →
anubis6–13-0.0620%30 Jan →
ancient13–90.0123%30 Jan →
ancient8–13-0.0018%26 Jan →
inferno13–50.0117%26 Jan →
overpass6–13-0.1020%26 Jan →
sanctum4–9-0.137%25 Jan →
poseidon9–5-0.0635%25 Jan →
anubis9–13-0.0220%24 Jan →
inferno5–13-0.0612%23 Jan →
mirage13–20.0527%23 Jan →
inferno13–90.0023%22 Jan →
ancient13–8-0.0012%22 Jan →
ancient13–8-0.0237%15 Jan →
inferno13–80.0122%13 Jan →
train9–13-0.0430%10 Jan →
inferno8–80.0116%8 Jan →
overpass10–13-0.0314%7 Jan →
mirage6–13-0.0811%7 Jan →
inferno14–16-0.0518%6 Jan →
inferno4–9-0.0628%6 Jan →
overpass10–13-0.0518%16 Dec →
inferno13–10-0.0312%12 Dec →
overpass13–4-0.039%12 Dec →
inferno8–13-0.0542%30 May →
mirage13–7-0.0230%30 May →
inferno9–13-0.0311%23 May →
nuke4–13-0.0311%9 Apr →
inferno14–16-0.0627%9 Apr →
inferno13–30.0615%9 Apr →
ancient13–10-0.0425%7 Apr →
dust213–5-0.019%6 Apr →
ancient9–13-0.0414%6 Apr →
anubis4–13-0.0818%5 Apr →
nuke6–13-0.0629%5 Apr →
mirage9–13-0.0226%5 Apr →
nuke13–110.0233%4 Apr →
overpass13–60.0110%4 Apr →
ancient10–13-0.0629%4 Apr →
inferno9–7-0.0410%2 Apr →
nuke6–9-0.0719%2 Apr →
overpass9–40.0215%2 Apr →
palais5–9-0.1913%2 Apr →
whistle6–9-0.0326%2 Apr →
inferno9–50.0825%2 Apr →
nuke9–10.0310%2 Apr →
vertigo6–9-0.0617%2 Apr →
inferno13–60.0322%28 Mar →
vertigo5–9-0.1529%28 Mar →
whistle2–9-0.2813%28 Mar →
inferno9–60.0125%28 Mar →
nuke3–9-0.218%28 Mar →
palais4–9-0.1025%28 Mar →
vertigo4–9-0.1312%28 Mar →
nuke3–9-0.0512%28 Mar →
inferno5–9-0.0919%28 Mar →
inferno8–8-0.0621%28 Mar →
palais8–8-0.0217%28 Mar →
train13–100.0019%27 Mar →
anubis8–13-0.0216%27 Mar →
train0–7-0.1125%26 Mar →
nuke9–130.0214%26 Mar →
inferno5–9-0.0711%26 Mar →
palais7–9-0.039%26 Mar →
whistle9–50.1120%26 Mar →
whistle1–9-0.279%26 Mar →
nuke6–9-0.0612%26 Mar →
vertigo5–9-0.0319%26 Mar →
overpass9–10.2021%26 Mar →
inferno9–40.0138%26 Mar →
mirage13–10-0.0219%25 Mar →
mirage13–11-0.0829%24 Mar →
overpass9–5-0.018%22 Mar →
whistle9–70.0318%22 Mar →
vertigo8–8-0.1026%22 Mar →
nuke9–5-0.0623%22 Mar →
palais7–9-0.0922%22 Mar →
mirage3–13-0.0517%22 Mar →
train6–130.0057%22 Mar →
ancient13–4-0.0321%21 Mar →
palais9–5-0.0421%21 Mar →
vertigo8–8-0.0813%21 Mar →
inferno13–11-0.0237%20 Mar →
ancient13–10-0.0320%19 Mar →
overpass9–20.0318%19 Mar →
whistle8–8-0.084%19 Mar →
vertigo5–9-0.1722%19 Mar →
palais8–8-0.0114%19 Mar →
nuke9–40.0320%19 Mar →
inferno5–9-0.1015%19 Mar →
ancient13–9-0.0715%17 Mar →
ancient9–13-0.0620%17 Mar →
inferno14–16-0.0415%17 Mar →
train19–15-0.0619%14 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.