FuriousPenguin

FuriousPenguin — CS2 Stats

76561198204999263[U:1:244733535]Steam profile ↗✓ No bans

1,158Tracked matches39%Win rate2020Tracked since
4,229Hours in CS6Hrs last 2 wks
CSDB Rating4.7 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate35.9%42.2%42.7%6.8% short
Shot accuracy17.8%11.9%10.8%above
Kill/death ratio0.930.981.000.07 short
Match win rate42.8%43.6%44.1%1.3% short

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFuriousPenguinFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

COLD48502Last 10048%Win rateLWWLLWLLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.7
Aggression9.2
Utility4.7
Positioning5.0
Opening Duels4.3
Clutch4.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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

T-side openings. Opening success drops from 58% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 682ms 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

Aim4.7
Positioning5.0
Utility4.7
Mechanics7.0
Opening Duels4.3
Win Impact1.4

Composite 4.7/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time677ms−59ms
first ⅓ avg 736ms → last ⅓ avg 677ms
Headshot accuracy19.7%+4.2%
first ⅓ avg 15.5% → last ⅓ avg 19.7%

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.

Highlights

0.13Best rating — overpass 13–3
132Biggest win — inferno
6Longest win streak
95In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 54% over 24ancientWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
infernoB24131154%-0.03
ancientC23101343%-0.04
nukeB1910953%-0.02
anubisB126650%-0.05
overpassB126650%-0.01
vertigo41325%-0.03
cache2020%-0.02
mirage21150%-0.05
dust21010%0.00
train110100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,590Lifetime kills
0.93K/D
4,482Matches
42.8%Match win rate
35.9%Headshot %
17.8%Shot accuracy · Top 25% of Level 3 players
8,266MVPs
1,945Hours (in match)
5,531Bombs planted
1,094Bombs defused

Most-used weapons

AK-4719,537
AWP9,114
SG 5533,306
MAC-102,539
AUG2,410
MP91,881
P901,472

Lifetime map wins

10,401inferno
5,599nuke
3,518dust2
2,765vertigo
1,226cbble
872train
285lake
274assault

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

Faceit stats

Combat

733Matches
50%Win rate
0.83Avg K/D
61.0ADR
38%Headshot %

Clutches & streaks

44%1v1 clutch win
11%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno5560%0.9012.1
Ancient4342%0.7711.3
Nuke3858%0.8210.6
Vertigo3145%0.7811.7
Overpass978%0.8713.0
Mirage862%0.629.5
Anubis633%0.6512.5
Dust2333%0.9416.3

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.

18.6%Headshot accuracy
29.2%Accuracy (enemy spotted)
31.8%Spray accuracy
81.4%Counter-strafing
10.8°Preaim
682msReaction time
36.7%T opening success
57.8%CT opening success
0.52Enemies flashed / flash
3.4%Flash assists
12.79HE damage / grenade
4.61Flashes / 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 36.6716% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0429%26 Aug
nuke13–9-0.0028%26 Aug
inferno13–11-0.067%26 Aug
nuke11–130.0411%25 Aug
nuke10–13-0.0311%24 Aug
nuke13–9-0.0333%22 Aug
cache9–130.0419%22 Aug
inferno6–13-0.0222%21 Aug
nuke10–13-0.0320%11 Aug
cache3–13-0.089%11 Aug
anubis13–10-0.0611%11 Aug
dust26–130.0017%11 Aug
anubis10–13-0.0211%11 Aug
ancient13–100.0129%11 Aug
anubis15–150.0318%10 Aug
ancient5–13-0.0835%10 Aug
inferno15–15-0.0817%4 Aug
inferno3–13-0.1325%4 Aug
inferno3–13-0.0345%4 Aug
ancient13–3-0.0713%4 Aug
inferno13–9-0.0413%29 Jul
ancient0–7-0.0750%29 Jul
inferno9–13-0.078%29 Jul
nuke13–50.0526%29 Jul
inferno13–80.0320%1 Jul
overpass13–4-0.019%1 Jul
ancient13–16-0.0215%29 Jun
inferno6–13-0.0215%29 Jun
nuke16–14-0.0812%28 Jun
nuke6–13-0.1018%28 Jun
anubis13–10-0.078%28 Jun
ancient6–13-0.0126%18 Jun
ancient13–10-0.0221%18 Jun
overpass4–13-0.1310%16 Jun
ancient16–14-0.0021%16 Jun
inferno11–13-0.0117%13 Jun
overpass11–13-0.0115%13 Jun
nuke7–13-0.0820%30 May
ancient13–60.0218%30 May
inferno6–13-0.055%29 May
anubis13–10-0.074%29 May
overpass13–30.1319%29 May
ancient9–13-0.0610%28 May
overpass13–110.066%4 May
anubis7–13-0.044%4 May
nuke13–3-0.0417%4 May
anubis16–13-0.0216%3 May
anubis13–11-0.048%3 May
ancient5–130.0012%3 May
nuke13–4-0.0223%2 May
inferno2–13-0.039%2 May
anubis16–14-0.0219%25 Apr
overpass13–9-0.0413%8 Apr
anubis4–13-0.1117%8 Apr
overpass7–13-0.0426%7 Apr
nuke11–13-0.043%7 Apr
inferno13–100.0328%7 Apr
nuke13–11-0.087%10 Mar
ancient7–13-0.0515%10 Mar
anubis9–13-0.0914%9 Mar
inferno7–13-0.0314%9 Mar
ancient9–13-0.0325%1 Mar
nuke8–13-0.043%11 Feb
anubis9–13-0.0513%30 Jan
nuke13–10-0.0213%29 Jan
ancient6–13-0.1019%29 Jan
overpass5–13-0.0518%26 Jan
ancient13–8-0.027%26 Jan
overpass5–13-0.0527%14 Jan
inferno13–10-0.0216%14 Jan
ancient13–8-0.0429%14 Jan
nuke13–6-0.0330%14 Jan
ancient13–16-0.059%10 Jan
nuke8–130.0514%10 Jan
nuke13–50.0719%10 Jan
inferno13–6-0.014%9 Jan
ancient13–7-0.0227%9 Jan
overpass13–50.0310%9 Jan
inferno13–10-0.0715%9 Jan
inferno10–13-0.0310%7 Jan
overpass10–13-0.0417%7 Jan
mirage13–11-0.0614%5 Jan
mirage9–13-0.0520%5 Jan
vertigo3–13-0.0821%26 Oct
vertigo3–13-0.0112%26 Oct
inferno13–30.0017%12 Oct
overpass13–50.0317%12 Oct
ancient4–13-0.104%18 Jun
inferno16–14-0.0312%17 Jun
ancient13–10-0.0219%3 May
ancient9–13-0.088%9 Apr
vertigo13–7-0.0119%22 Feb
inferno13–20.0114%22 Feb
inferno13–8-0.0510%28 Jan
inferno13–9-0.0023%23 Jan
inferno13–60.058%23 Jan
ancient13–9-0.0214%5 Dec
nuke14–16-0.0114%26 Nov
train13–7-0.0820%15 Nov
vertigo7–13-0.0216%13 Nov

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 →