Пингвин

Пингвин — CS2 Stats

EE76561199229400091[U:1:1269134363]Steam profile ↗✓ No bans

1,243Tracked matches50%Win rate2022Tracked since
2,125Hours in CS12Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating16,999Purple band · top ~20.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 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: 16,999 +2,313 4 Aug – 22 Oct · 26 days played
14,68617,742peak 17,7424 Aug22 Oct
18,058Peak Premier in tracked matches
29Days played since 2026-08-04

Premier CS Rating

  • 743 below peak (17,742)
  • +1,999 over 30 days · improving
  • +2,313 over 90 days
  • Next: Pink band at 20,000 — 3,001 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.5%43.8%44.8%2.3% short
Shot accuracy7.8%12.0%12.4%4.6% short
Kill/death ratio0.831.021.030.21 short
Match win rate42.8%44.7%45.2%2.4% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGПингвинFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning37
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWLLWLLWWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.5pp headshot accuracy · −12ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 20%
  • Avg reaction 667ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

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 (+3.1 against its own average).

Aim6.5
Utility6.7
Positioning3.7
Opening Duels0.1
Clutch4.0

Effective flashes

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 74% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 601ms 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

Aim6.5
Positioning3.7
Utility6.7
Mechanics6.7
Opening Duels1.0
Win Impact5.0

Composite 5.3/10 (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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time603ms−2ms
first ⅓ avg 605ms → last ⅓ avg 603ms
Headshot accuracy20.9%+5.0%
first ⅓ avg 15.9% → last ⅓ avg 20.9%

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

0.17Best match rating · 9–1 · inferno, 18 Aug →
67%Best headshot accuracy · 2–0 · anubis, 22 Oct →
367msFastest reaction time · 9–13 · inferno, 22 Oct →
13–2Biggest win · nuke, 22 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
3–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%-0.02
cacheA2112–957%-0.01
nukeA1911–858%-0.02
mirageB178–947%-0.03
ancientA85–363%-0.03
dust2A74–357%-0.02
anubis—22–0100%0.00
debris—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,218Lifetime kills
0.83K/D
2,291Matches
42.8%Match win rate
42.5%Headshot %
7.8%Shot accuracy
3,897MVPs
922Hours (in match)
2,291Bombs planted
430Bombs defused

Most-used weapons

Lifetime map wins

6,067inferno
2,930nuke
1,521dust2
611train
498vertigo
123office
33cbble
19italy

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

Faceit stats

Combat

39Matches
54%Win rate
0.81Avg K/D
68.4ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.6411.0
Inferno367%0.9114.0
Nuke3100%0.8414.3
Anubis250%0.8013.5
Ancient10%0.7110.0

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.

19.4%Headshot accuracy
30.2%Accuracy (enemy spotted)
31.0%Spray accuracy
80.3%Counter-strafing
8.0°Preaim
601msReaction time
37.4%T opening success
30.8%CT opening success
0.78Enemies flashed / flash
2.6%Flash assists
14.28HE damage / grenade
6.20Flashes / 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 37.3823% — below the 40% mark we flag

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.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–20.0521%22 Oct →
debris9–50.0218%22 Oct →
nuke3–9-0.1714%22 Oct →
inferno2–9-0.2522%22 Oct →
nuke10–30.0026%22 Oct →
inferno9–13-0.107%22 Oct →
cache7–130.038%22 Oct →
cache13–8-0.027%22 Oct →
anubis2–00.0267%22 Oct →
dust214–16-0.0222%22 Oct →
mirage13–10-0.068%21 Oct →
cache13–50.0717%21 Oct →
cache5–13-0.1022%15 Oct →
inferno7–13-0.0332%15 Oct →
ancient13–10-0.0513%15 Oct →
inferno13–90.0117%14 Oct →
cache13–100.0119%14 Oct →
nuke2–13-0.1020%11 Oct →
cache13–10-0.0024%8 Oct →
inferno13–70.0116%29 Sept →
dust213–10-0.0221%29 Sept →
cache10–130.0718%27 Sept →
inferno8–130.0128%27 Sept →
inferno13–50.0232%16 Sept →
cache10–13-0.0214%7 Sept →
mirage8–13-0.097%7 Sept →
ancient6–130.0224%7 Sept →
inferno11–130.0222%7 Sept →
mirage1–13-0.0432%6 Sept →
nuke4–13-0.0120%6 Sept →
inferno13–50.0222%6 Sept →
mirage3–13-0.1220%5 Sept →
cache13–90.0230%3 Sept →
nuke13–6-0.0118%3 Sept →
inferno11–13-0.053%3 Sept →
nuke13–10-0.0516%3 Sept →
dust216–13-0.0415%31 Aug →
inferno11–13-0.0328%31 Aug →
nuke15–150.0316%31 Aug →
mirage13–90.0325%30 Aug →
ancient13–160.0121%30 Aug →
nuke13–10-0.0220%30 Aug →
mirage7–13-0.0314%30 Aug →
cache3–13-0.0316%30 Aug →
cache13–9-0.0618%27 Aug →
inferno13–10-0.027%27 Aug →
ancient13–5-0.0720%27 Aug →
mirage13–8-0.0116%27 Aug →
nuke13–16-0.0514%26 Aug →
cache2–13-0.1123%26 Aug →
inferno13–7-0.0117%25 Aug →
cache10–13-0.0327%25 Aug →
nuke11–13-0.0716%20 Aug →
dust213–6-0.0213%20 Aug →
cache7–13-0.0411%20 Aug →
anubis13–10-0.0111%20 Aug →
dust213–90.0412%19 Aug →
ancient13–7-0.0417%19 Aug →
inferno5–13-0.1411%19 Aug →
inferno13–30.056%18 Aug →
ancient4–13-0.0429%18 Aug →
mirage11–13-0.0118%18 Aug →
inferno8–13-0.0224%18 Aug →
inferno9–10.1729%18 Aug →
nuke13–4-0.0119%17 Aug →
cache16–130.0116%17 Aug →
nuke3–130.0116%17 Aug →
inferno16–130.0512%17 Aug →
dust27–13-0.0312%17 Aug →
inferno14–16-0.0511%17 Aug →
cache13–2-0.056%17 Aug →
nuke13–7-0.019%16 Aug →
mirage4–13-0.0323%16 Aug →
nuke9–13-0.123%16 Aug →
ancient13–7-0.0113%16 Aug →
mirage13–2-0.0120%16 Aug →
mirage13–2-0.0224%13 Aug →
cache13–80.0524%13 Aug →
nuke13–50.0223%13 Aug →
dust27–13-0.084%13 Aug →
mirage4–13-0.0417%13 Aug →
cache13–40.0325%13 Aug →
inferno13–20.037%13 Aug →
nuke13–10-0.0215%12 Aug →
mirage13–40.0619%12 Aug →
inferno5–130.038%12 Aug →
inferno7–13-0.0224%10 Aug →
cache13–7-0.0114%10 Aug →
inferno0–13-0.0217%10 Aug →
inferno7–13-0.0718%6 Aug →
nuke13–11-0.0217%6 Aug →
cache3–13-0.0626%6 Aug →
mirage13–6-0.0418%6 Aug →
nuke13–70.1022%6 Aug →
cache16–14-0.0417%5 Aug →
ancient16–13-0.0612%5 Aug →
mirage10–13-0.0219%5 Aug →
mirage2–13-0.0125%5 Aug →
inferno7–13-0.0612%4 Aug →
mirage13–10-0.059%4 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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