Punished Gnome — CS2 Stats

VN76561198119802003[U:1:159536275]Steam profile ↗1 game ban

1,172Tracked matches60%Win rate2020Tracked since

2,662Hours in CS4Hrs last 2 wks

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating13,914Blue band · top ~34.2% of ranked players (population est.)

CSDB Leaderboard#18244 of 27596 tracked

WingmanGold Nova I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	35.2%	41.7%	44.1%	8.9% short
Shot accuracy	15.7%	8.8%	11.4%	above
Kill/death ratio	1.13	0.97	1.03	above
Match win rate	46.6%	43.8%	45.2%	above

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

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

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Performance scores

Aim61

Positioning64

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWWLWLWWLL

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression8.8

Utility4.8

Positioning6.4

Opening Duels4.2

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

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 695ms 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

Aim6.1

Positioning6.4

Utility4.8

Mechanics5.6

Opening Duels4.2

Win Impact8.3

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time684ms−4ms

first ⅓ avg 688ms → last ⅓ avg 684ms

Headshot accuracy20.5%+5.6%

first ⅓ avg 14.9% → last ⅓ avg 20.5%

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

0.16Best rating — mirage 7–13

13–1Biggest win — cache

5Longest win streak

W3Current streak

7–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 57% over 14cacheWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.02
cache	C	22	8–14	36%	0.03
nuke	C	16	7–9	44%	0.03
inferno	A	14	8–6	57%	0.02
dust2	C	11	4–7	36%	0.06
anubis	—	4	2–2	50%	0.07
vertigo	—	2	1–1	50%	-0.03
train	—	2	2–0	100%	0.02
overpass	—	2	1–1	50%	0.06
office	—	1	1–0	100%	0.06
shelter	—	1	1–0	100%	0.08
ancient	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Lifetime stats

67,335Lifetime kills

1.13K/D · Top 25% of Blue band

3,273Matches

46.6%Match win rate · Top 50% of Blue band

35.2%Headshot %

15.7%Shot accuracy · Top 25% of Blue band

8,158MVPs

1,347Hours (in match)

3,412Bombs planted

968Bombs defused

Most-used weapons

AWP13,194

AK-4712,619

M4A4 / M4A1-S9,111

SG 5535,573

P2000 / USP-S3,701

AUG3,418

Glock-182,822

Desert Eagle2,566

MP91,482

P2501,385

Lifetime map wins

5,768inferno

4,796dust2

2,753nuke

1,231train

1,036vertigo

510lake

175office

16italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.9%Headshot accuracy

36.5%Accuracy (enemy spotted)

33.9%Spray accuracy

75.1%Counter-strafing

9.7°Preaim

695msReaction time

50.9%T opening success

42.7%CT opening success

0.50Enemies flashed / flash

2.5%Flash assists

8.70HE damage / grenade

5.43Flashes / match

Recommended for you

Spend your practice time on Cache

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	0.05	11%	22 Aug →
cache	16–12	0.07	23%	21 Aug →
mirage	13–3	0.04	16%	21 Aug →
mirage	13–16	-0.01	7%	17 Aug →
vertigo	13–4	-0.07	100%	17 Aug →
nuke	4–13	-0.01	26%	15 Aug →
train	13–11	-0.01	21%	15 Aug →
train	13–4	0.06	26%	15 Aug →
dust2	13–16	0.02	26%	12 Aug →
inferno	14–16	0.01	25%	12 Aug →
nuke	7–13	0.03	21%	11 Aug →
mirage	13–9	0.13	21%	8 Aug →
mirage	13–5	0.14	19%	8 Aug →
dust2	11–13	0.05	23%	6 Aug →
nuke	13–10	-0.01	15%	6 Aug →
anubis	13–3	0.04	30%	6 Aug →
dust2	11–13	0.02	12%	5 Aug →
anubis	7–13	0.07	24%	5 Aug →
cache	13–10	0.04	20%	5 Aug →
mirage	13–9	0.10	20%	5 Aug →
vertigo	8–13	0.01	18%	4 Aug →
nuke	13–5	0.12	13%	29 Jul →
mirage	0–4	-0.05	0%	29 Jul →
dust2	13–11	0.07	17%	29 Jul →
inferno	13–5	-0.04	10%	29 Jul →
inferno	13–7	0.01	12%	23 Jul →
office	13–5	0.06	14%	23 Jul →
nuke	13–4	0.03	15%	23 Jul →
cache	6–13	0.05	6%	22 Jul →
cache	5–13	0.02	33%	18 Jul →
shelter	13–5	0.08	15%	18 Jul →
cache	13–8	-0.03	18%	18 Jul →
inferno	4–13	0.08	17%	18 Jul →
dust2	9–13	0.09	12%	15 Jul →
inferno	13–3	0.06	19%	15 Jul →
cache	13–7	-0.01	21%	11 Jul →
mirage	13–8	0.05	16%	11 Jul →
cache	13–10	0.06	15%	11 Jul →
mirage	7–13	0.05	11%	10 Jul →
inferno	9–13	0.03	21%	10 Jul →
cache	11–13	0.04	36%	9 Jul →
nuke	15–15	-0.02	12%	9 Jul →
cache	9–13	0.04	15%	6 Jul →
cache	13–11	0.04	12%	6 Jul →
nuke	13–5	0.04	11%	6 Jul →
dust2	4–13	0.07	23%	6 Jul →
nuke	9–13	-0.00	9%	4 Jul →
inferno	13–8	-0.01	10%	2 Jul →
nuke	13–10	0.01	12%	2 Jul →
inferno	13–10	0.06	15%	2 Jul →
inferno	13–11	0.04	18%	1 Jul →
mirage	8–13	-0.03	5%	1 Jul →
cache	10–13	-0.01	17%	24 Jun →
cache	9–13	-0.00	14%	13 Jun →
cache	5–13	-0.03	22%	11 Jun →
inferno	7–13	0.11	21%	11 Jun →
mirage	7–13	0.16	14%	11 Jun →
nuke	7–13	0.09	23%	10 Jun →
mirage	13–11	0.01	19%	10 Jun →
nuke	7–13	-0.07	24%	27 May →
mirage	13–6	0.04	11%	27 May →
mirage	13–10	-0.05	19%	21 May →
mirage	13–8	0.05	15%	21 May →
inferno	10–13	-0.04	14%	21 May →
anubis	10–13	0.03	11%	20 May →
mirage	8–13	-0.03	8%	20 May →
nuke	13–8	0.06	14%	20 May →
mirage	8–13	-0.02	14%	14 May →
dust2	13–11	0.03	13%	14 May →
inferno	13–6	-0.02	5%	14 May →
mirage	11–13	-0.05	14%	14 May →
mirage	8–13	0.02	10%	10 May →
nuke	7–13	0.03	13%	10 May →
mirage	2–13	-0.10	18%	10 May →
cache	12–12	-0.01	10%	10 May →
cache	12–12	0.05	7%	10 May →
cache	8–13	0.15	12%	9 May →
dust2	13–6	0.12	11%	9 May →
ancient	13–10	0.08	19%	7 May →
cache	6–13	0.02	26%	6 May →
cache	13–9	0.06	17%	6 May →
dust2	13–4	0.12	14%	6 May →
dust2	7–13	0.00	24%	2 May →
anubis	13–7	0.12	11%	2 May →
nuke	4–13	-0.03	7%	2 May →
cache	3–13	-0.04	9%	2 May →
cache	13–1	0.08	33%	29 Apr →
cache	12–12	0.02	15%	29 Apr →
cache	11–13	0.09	21%	29 Apr →
mirage	8–13	-0.00	17%	25 Apr →
mirage	3–13	-0.03	10%	25 Apr →
mirage	13–5	0.05	15%	24 Apr →
dust2	7–13	0.04	17%	24 Apr →
nuke	13–7	0.05	22%	24 Apr →
mirage	6–13	-0.08	9%	24 Apr →
overpass	13–11	0.07	15%	24 Apr →
overpass	5–13	0.05	20%	23 Apr →
nuke	9–13	0.07	21%	21 Apr →
inferno	13–8	0.06	10%	21 Apr →
inferno	3–13	-0.06	11%	19 Apr →