Zm1ss — CS2 Stats

76561198406102530[U:1:445836802]Steam profile ↗✓ No bans

1,474Tracked matches48%Win rate2020Tracked since

8,165Hours in CS2Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating23,547Top 50% of 819 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#4560 of 19959 tracked

FaceitLevel 9 · 1,956 ELOTop 20.7% of ranked FACEIT players

WingmanSilver I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median	vs Level 10
Headshot rate	59.3%	52.8%	above
Shot accuracy	16.0%	13.7%	above
Kill/death ratio	0.83	1.08	0.25 short
Match win rate	46.7%	49.2%	2.5% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning63

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLLLWLWLLWW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression10.0

Utility5.5

Positioning6.3

Opening Duels5.2

Clutch5.0

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.6

Positioning6.3

Utility5.5

Mechanics8.8

Opening Duels5.2

Win Impact4.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time563ms−32ms

first ⅓ avg 594ms → last ⅓ avg 563ms

Headshot accuracy26.7%−2.5%

first ⅓ avg 29.2% → last ⅓ avg 26.7%

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

0.18Best rating — dust2 13–4

13–1Biggest win — dust2

5Longest win streak

L3Current streak

6–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 88% over 8infernoWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	18–19	49%	0.02
mirage	A	34	19–15	56%	0.03
inferno	C	18	7–11	39%	0.01
ancient	S	8	7–1	88%	0.03
anubis	—	1	1–0	100%	0.05
nuke	—	1	1–0	100%	0.10
train	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,467Lifetime kills

0.83K/D

4,934Matches

46.7%Match win rate · Top 50% of Pink band

59.3%Headshot % · Top 25% of Pink band

16.0%Shot accuracy · Top 25% of Pink band

18,192MVPs

10,955Hours (in match)

6,256Bombs planted

2,983Bombs defused

Most-used weapons

AK-47106,338

AWP28,233

M4A4 / M4A1-S24,040

Desert Eagle9,613

P2000 / USP-S7,885

Glock-184,093

Galil AR2,902

FAMAS2,606

MP92,550

MAC-101,880

Lifetime map wins

16,467inferno

11,863dust2

2,058vertigo

1,483nuke

1,109train

97cbble

46lake

42office

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

Faceit stats

Combat

1,290Matches

53%Win rate

1.14Avg K/D

79.3ADR

56%Headshot %

Clutches & streaks

45%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	199	54%	1.06	16.1
Inferno	79	49%	1.10	16.2
Dust2	79	53%	1.13	16.1
Ancient	44	64%	1.15	16.6
Vertigo	30	43%	1.04	17.2
Anubis	16	62%	0.89	14.4
Overpass	12	50%	0.81	13.8
Nuke	2	50%	1.07	19.0

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.

25.8%Headshot accuracy

35.1%Accuracy (enemy spotted)

32.7%Spray accuracy

89.6%Counter-strafing

8.5°Preaim

557msReaction time

43.2%T opening success

58.8%CT opening success

0.72Enemies flashed / flash

8.2%Flash assists

7.52HE damage / grenade

11.72Flashes / match

Recommended for you

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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	0.01	24%	9 Jan →
dust2	7–13	-0.05	21%	9 Jan →
dust2	8–13	0.01	24%	9 Jan →
dust2	13–2	0.17	33%	8 Jan →
dust2	9–13	0.01	13%	7 Jan →
dust2	13–9	0.05	29%	7 Jan →
dust2	3–13	-0.04	17%	7 Jan →
dust2	5–13	0.04	25%	5 Jan →
ancient	16–14	0.06	22%	5 Jan →
dust2	7–1	-0.07	75%	5 Jan →
dust2	7–13	-0.02	15%	5 Jan →
mirage	13–11	0.06	32%	4 Jan →
mirage	13–16	0.06	25%	4 Jan →
dust2	13–8	0.02	18%	4 Jan →
mirage	12–12	0.09	35%	3 Jan →
mirage	13–6	0.06	14%	3 Jan →
dust2	13–10	0.08	33%	3 Jan →
dust2	13–4	0.18	29%	3 Jan →
mirage	7–13	0.03	29%	16 Dec →
mirage	13–10	0.07	28%	14 Dec →
inferno	8–13	-0.02	24%	14 Dec →
mirage	11–13	-0.03	24%	8 Dec →
inferno	5–13	-0.04	26%	8 Dec →
mirage	12–16	-0.00	22%	4 Dec →
dust2	10–13	0.00	39%	14 Nov →
dust2	13–8	0.09	22%	13 Nov →
mirage	13–6	0.03	28%	6 Nov →
inferno	7–13	0.03	40%	4 Nov →
mirage	13–5	0.02	19%	2 Nov →
dust2	13–8	0.04	19%	23 Oct →
ancient	13–7	0.08	20%	11 Oct →
mirage	13–10	0.05	32%	10 Oct →
dust2	8–13	-0.01	27%	10 Oct →
inferno	5–13	-0.00	29%	9 Oct →
ancient	13–8	0.13	24%	8 Oct →
mirage	8–13	0.02	21%	7 Oct →
dust2	13–4	0.07	31%	7 Oct →
mirage	13–3	0.00	15%	29 Sept →
dust2	13–1	0.05	24%	24 Sept →
dust2	12–12	0.03	23%	20 Sept →
dust2	13–6	0.10	30%	20 Sept →
inferno	8–13	0.02	41%	17 Sept →
mirage	13–7	0.04	32%	17 Sept →
inferno	16–12	-0.02	27%	8 Aug →
inferno	13–6	-0.01	26%	7 Aug →
inferno	4–13	-0.06	14%	5 Aug →
mirage	13–5	-0.02	14%	3 Aug →
inferno	9–13	-0.02	37%	2 Aug →
dust2	11–13	-0.07	12%	31 Jul →
mirage	4–13	-0.04	41%	30 Jul →
mirage	16–14	-0.00	39%	28 Jul →
mirage	13–7	-0.04	24%	26 Jul →
dust2	13–8	-0.02	24%	25 Jul →
ancient	16–13	-0.00	22%	23 Jul →
dust2	13–16	-0.02	28%	23 Jul →
inferno	13–6	0.10	34%	23 Jul →
mirage	22–20	0.03	29%	22 Jul →
dust2	9–13	0.00	24%	21 Jul →
dust2	4–13	-0.01	24%	21 Jul →
inferno	13–6	0.04	41%	21 Jul →
mirage	16–13	0.01	22%	20 Jul →
ancient	13–7	-0.03	26%	19 Jul →
dust2	16–12	0.02	35%	19 Jul →
ancient	13–3	0.04	38%	19 Jul →
mirage	11–13	0.04	23%	12 Jul →
mirage	13–8	0.03	25%	9 Jul →
dust2	11–13	-0.01	21%	7 Jul →
anubis	16–13	0.05	27%	6 Jul →
mirage	6–13	0.04	20%	5 Jul →
dust2	5–13	-0.06	19%	5 Jul →
dust2	13–10	0.13	26%	5 Jul →
mirage	13–10	0.02	26%	5 Jul →
dust2	13–7	0.03	33%	28 Jun →
mirage	2–13	-0.05	18%	28 Jun →
nuke	16–13	0.10	35%	28 Jun →
mirage	10–13	0.08	38%	27 Jun →
mirage	13–3	-0.01	24%	27 Jun →
dust2	7–13	-0.05	24%	27 Jun →
mirage	13–9	0.06	34%	27 Jun →
mirage	13–10	0.08	27%	25 Jun →
inferno	13–6	0.04	35%	24 Jun →
inferno	9–13	0.05	43%	23 Jun →
dust2	11–13	-0.00	31%	10 Jun →
ancient	4–13	-0.01	30%	9 Jun →
mirage	13–5	0.12	26%	29 May →
mirage	11–13	0.08	28%	29 May →
inferno	10–13	0.08	38%	27 May →
ancient	13–11	-0.01	28%	27 May →
inferno	13–2	0.01	31%	24 May →
train	6–13	-0.00	36%	23 May →
inferno	13–6	0.07	40%	18 May →
dust2	13–11	-0.01	19%	17 May →
mirage	9–13	0.05	27%	15 May →
dust2	13–16	-0.01	35%	10 May →
mirage	17–19	0.06	30%	10 May →
dust2	13–7	0.06	30%	10 May →
dust2	13–7	-0.05	29%	6 May →
mirage	13–16	0.03	31%	6 May →
inferno	4–13	-0.06	24%	6 May →
inferno	1–13	-0.03	24%	2 May →