Pingu

Pingu — CS2 Stats

NE76561199164019502[U:1:1203753774]Steam profile ↗✓ No bans

1,520Tracked matches34%Win rate2022Tracked since
1,491Hours in CS22Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating18,762Top 50% of 211,827 CSDB-tracked playersPurple band · top ~13.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 18,762 +925 27 Sept – 28 Oct · 18 days played
17,83721,320peak 21,32027 Sept28 Oct
21,320Peak Premier in tracked matches
22Days played since 2026-09-15

Premier CS Rating

  • 2,558 below peak (21,320)
  • +925 over 30 days · improving
  • Next: Pink band at 20,000 — 1,238 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.9%44.4%46.9%2.0% short
Shot accuracy4.5%11.9%13.0%8.5% short
Kill/death ratio0.851.031.080.23 short
Match win rate46.7%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGPinguPREMIER18,762 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLLLWWWLLWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −0.8pp headshot accuracy · −11ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 532ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 538ms

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 (+1.7 against its own average).

Aim7.1
Utility4.6
Positioning5.4
Opening Duels1.5
Clutch3.4

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

iM

Plays most like iM 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim7.1
Positioning5.4
Utility4.6
Mechanics5.1
Opening Duels3.8
Win Impact0.0

Composite 5.0/10 (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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time538ms−31ms
first ⅓ avg 570ms → last ⅓ avg 538ms
Headshot accuracy13.4%−4.4%
first ⅓ avg 17.8% → last ⅓ avg 13.4%

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

0.20Best match rating · 9–1 · nuke, 15 Sept →
50%Best headshot accuracy · 1–4 · office, 2 Oct →
359msFastest reaction time · 13–3 · anubis, 29 Sept →
13–2Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
9–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 83% over 6dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%-0.03
infernoA2012–860%-0.02
dust2D124–833%-0.01
mirageS128–467%-0.00
vertigoC104–640%-0.02
cacheS65–183%-0.02
anubis—43–175%-0.01
overpass—43–175%0.02
office—31–233%-0.04
poseidon—31–233%-0.08
eldorado—10–10%-0.10
train—10–10%-0.04
ancient—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,166Lifetime kills
0.85K/D
2,162Matches
46.7%Match win rate · Top 50% of Purple band
44.9%Headshot % · Top 50% of Purple band
4.5%Shot accuracy
4,674MVPs
985Hours (in match)
1,231Bombs planted
850Bombs defused

Most-used weapons

Lifetime map wins

3,996nuke
3,446inferno
1,646vertigo
1,209dust2
370train
139office
39italy
31lake

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

Faceit stats

Combat

50Matches
56%Win rate
0.94Avg K/D
68.9ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
37%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1567%1.1415.7
Nuke944%0.9814.4
Vertigo771%0.8715.7
Inferno771%0.9716.1
Anubis633%0.467.3
Ancient450%0.7611.5
Dust220%1.1617.5

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.

15.0%Headshot accuracy
37.3%Accuracy (enemy spotted)
36.8%Spray accuracy
73.1%Counter-strafing
9.6°Preaim
526msReaction time
52.8%T opening success
37.8%CT opening success
0.44Enemies flashed / flash
4.6%Flash assists
6.51HE damage / grenade
12.62Flashes / 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 14.9595% — 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 0.4395 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.8387% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–130.0612%28 Oct →
cache5–13-0.0416%28 Oct →
dust25–130.0218%28 Oct →
cache13–8-0.048%28 Oct →
anubis13–8-0.0413%28 Oct →
nuke13–30.087%28 Oct →
inferno6–13-0.0412%28 Oct →
nuke10–130.0217%28 Oct →
inferno13–4-0.049%28 Oct →
nuke4–9-0.290%26 Oct →
eldorado2–9-0.1020%26 Oct →
dust26–130.017%26 Oct →
inferno14–16-0.0318%26 Oct →
anubis10–130.0012%25 Oct →
dust24–13-0.0423%25 Oct →
vertigo5–9-0.120%24 Oct →
nuke2–9-0.128%24 Oct →
vertigo5–9-0.068%24 Oct →
nuke9–7-0.033%24 Oct →
inferno4–9-0.1421%24 Oct →
mirage1–13-0.0911%24 Oct →
dust210–13-0.0525%24 Oct →
nuke13–60.0318%24 Oct →
nuke6–13-0.0210%24 Oct →
dust213–11-0.0016%22 Oct →
mirage12–120.0218%22 Oct →
nuke5–13-0.0519%22 Oct →
mirage13–8-0.0714%19 Oct →
dust25–13-0.048%16 Oct →
nuke6–13-0.0811%16 Oct →
nuke7–13-0.0014%16 Oct →
dust25–130.0138%15 Oct →
inferno16–140.017%12 Oct →
office7–130.0516%12 Oct →
mirage7–20.0515%12 Oct →
train6–13-0.0423%12 Oct →
inferno13–90.0513%12 Oct →
anubis13–6-0.0120%10 Oct →
inferno8–80.0213%10 Oct →
inferno13–7-0.076%8 Oct →
mirage14–16-0.056%8 Oct →
office13–7-0.0710%8 Oct →
mirage13–6-0.0115%8 Oct →
dust213–20.0212%8 Oct →
vertigo9–40.096%8 Oct →
nuke13–90.0412%7 Oct →
nuke2–9-0.0917%5 Oct →
inferno13–7-0.0510%5 Oct →
inferno13–80.018%5 Oct →
vertigo7–9-0.0120%5 Oct →
inferno13–90.0714%5 Oct →
dust213–10-0.0417%5 Oct →
mirage13–3-0.0411%5 Oct →
nuke9–30.1310%5 Oct →
vertigo9–30.049%4 Oct →
overpass9–00.1710%4 Oct →
inferno9–7-0.143%4 Oct →
vertigo8–8-0.0612%4 Oct →
overpass9–5-0.028%4 Oct →
nuke9–40.0812%4 Oct →
poseidon3–9-0.164%4 Oct →
nuke13–5-0.0220%4 Oct →
cache13–11-0.0520%4 Oct →
overpass9–60.0114%4 Oct →
nuke9–6-0.148%4 Oct →
poseidon3–6-0.0619%4 Oct →
inferno8–8-0.0423%4 Oct →
inferno9–10.0811%4 Oct →
vertigo12–120.0414%4 Oct →
nuke13–7-0.0126%4 Oct →
cache13–11-0.0718%4 Oct →
mirage13–11-0.0020%2 Oct →
office1–4-0.1050%2 Oct →
dust28–13-0.039%2 Oct →
inferno3–9-0.1720%2 Oct →
vertigo8–8-0.0916%1 Oct →
inferno13–10-0.0911%1 Oct →
dust24–130.0121%1 Oct →
nuke7–9-0.0711%1 Oct →
mirage13–110.0620%30 Sept →
vertigo13–30.0011%30 Sept →
nuke4–9-0.0721%30 Sept →
ancient9–13-0.0517%30 Sept →
mirage13–7-0.0320%29 Sept →
inferno9–50.0610%29 Sept →
nuke7–9-0.1310%29 Sept →
anubis13–30.0111%29 Sept →
mirage8–13-0.0110%27 Sept →
cache13–40.0316%27 Sept →
vertigo13–11-0.0515%24 Sept →
nuke0–9-0.140%21 Sept →
mirage13–60.1639%15 Sept →
overpass7–9-0.0622%15 Sept →
inferno12–3-0.0313%15 Sept →
nuke9–10.2033%15 Sept →
poseidon9–6-0.0220%15 Sept →
inferno8–80.0519%15 Sept →
nuke9–60.0513%15 Sept →
dust29–1-0.0227%15 Sept →
cache11–80.0314%15 Sept →

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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