ziLeNcerr ❟❛❟ — CS2 Stats

76561198028818412[U:1:68552684]Steam profile ↗✓ No bans

1,816Tracked matches52%Win rate2020Tracked since

6,788Hours in CS18Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating26,276Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#3549 of 52323 tracked

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=2,824), 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	Red band median
Headshot rate	54.5%	50.0%
Shot accuracy	17.2%	13.5%
Kill/death ratio	1.38	1.13
Match win rate	52.8%	48.4%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72

Positioning61

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWWWWLWLLWL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

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

Aim7.2

Aggression10.0

Utility6.3

Positioning6.1

Opening Duels5.1

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.

Your pro match

Plays most like device 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 600ms 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

Aim7.2

Positioning6.1

Utility6.3

Mechanics6.4

Opening Duels5.1

Win Impact5.6

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time601ms−0ms

first ⅓ avg 601ms → last ⅓ avg 601ms

Headshot accuracy22.5%−0.6%

first ⅓ avg 23.1% → last ⅓ avg 22.5%

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

0.14Best rating — inferno 9–4

13–1Biggest win — cache

5Longest win streak

W4Current streak

8–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 60% over 15mirageWeakest map · 39% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.01
mirage	C	23	9–14	39%	0.00
ancient	A	15	9–6	60%	0.03
cache	A	14	8–6	57%	0.02
anubis	A	12	7–5	58%	-0.00
inferno	C	5	2–3	40%	0.04
nuke	—	4	1–3	25%	-0.01
overpass	—	4	2–2	50%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

302,664Lifetime kills

1.38K/D · Top 25% of Red band

10,003Matches

52.8%Match win rate · Top 25% of Red band

54.5%Headshot % · Top 50% of Red band

17.2%Shot accuracy · Top 25% of Red band

41,772MVPs

3,986Hours (in match)

6,440Bombs planted

2,127Bombs defused

Most-used weapons

AK-4797,448

M4A4 / M4A1-S55,244

AWP41,852

MP718,529

P2000 / USP-S12,715

Glock-188,864

Desert Eagle8,047

Galil AR6,783

P2506,137

Five-SeveN5,799

Lifetime map wins

15,201inferno

13,645dust2

7,457nuke

5,037train

3,440cbble

1,704vertigo

859office

439italy

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

Faceit stats

Combat

956Matches

55%Win rate

1.14Avg K/D

81.9ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

12%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	101	54%	1.09	16.1
Ancient	95	67%	1.11	16.7
Inferno	77	55%	1.04	15.3
Nuke	61	62%	1.11	16.2
Dust2	49	53%	1.12	17.9
Anubis	23	52%	0.83	14.4
Vertigo	5	0%	0.76	13.4
Train	3	33%	1.26	19.3

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.

22.2%Headshot accuracy

35.3%Accuracy (enemy spotted)

35.7%Spray accuracy

78.6%Counter-strafing

10.2°Preaim

600msReaction time

43.5%T opening success

57.2%CT opening success

0.65Enemies flashed / flash

11.0%Flash assists

10.72HE damage / grenade

8.75Flashes / match

Recommended for you

Spend your practice time on Mirage

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 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–8	-0.01	15%	30 Aug →
dust2	13–4	0.06	29%	30 Aug →
anubis	13–6	-0.08	11%	30 Aug →
cache	13–3	0.09	30%	30 Aug →
mirage	10–13	-0.01	29%	30 Aug →
cache	13–9	-0.01	14%	30 Aug →
nuke	9–13	-0.06	20%	28 Aug →
inferno	4–13	0.05	12%	28 Aug →
cache	13–10	0.07	23%	25 Aug →
dust2	2–13	-0.05	32%	23 Aug →
mirage	8–13	0.01	21%	23 Aug →
overpass	12–12	0.09	12%	20 Aug →
mirage	10–13	0.01	20%	17 Aug →
cache	3–13	-0.05	14%	14 Aug →
cache	13–1	0.11	37%	14 Aug →
ancient	13–6	0.06	29%	14 Aug →
mirage	9–13	-0.04	24%	12 Aug →
ancient	13–10	0.01	22%	12 Aug →
dust2	13–5	0.07	36%	12 Aug →
mirage	11–13	0.03	10%	6 Aug →
dust2	13–7	0.05	22%	6 Aug →
mirage	4–13	-0.08	30%	1 Aug →
dust2	13–7	0.03	24%	1 Aug →
ancient	13–11	0.08	25%	1 Aug →
ancient	2–13	0.05	33%	1 Aug →
dust2	10–13	-0.02	15%	1 Aug →
nuke	8–13	0.03	19%	1 Aug →
mirage	13–11	0.07	18%	1 Aug →
cache	13–6	0.10	36%	1 Aug →
mirage	6–13	-0.04	23%	1 Aug →
inferno	13–10	0.06	20%	1 Aug →
anubis	11–13	-0.01	17%	26 Jul →
mirage	5–13	-0.07	21%	24 Jul →
dust2	9–13	-0.03	17%	20 Jul →
mirage	16–14	0.04	19%	20 Jul →
inferno	9–13	-0.05	24%	20 Jul →
cache	11–13	0.02	21%	20 Jul →
anubis	7–13	0.00	33%	20 Jul →
anubis	13–8	0.08	26%	18 Jul →
cache	2–13	0.01	21%	18 Jul →
dust2	16–14	0.02	17%	17 Jul →
cache	6–13	-0.04	28%	17 Jul →
ancient	13–9	0.02	32%	15 Jul →
mirage	13–9	-0.00	31%	15 Jul →
cache	13–11	0.06	23%	13 Jul →
mirage	13–2	0.05	21%	13 Jul →
cache	13–10	-0.04	25%	13 Jul →
nuke	5–13	-0.08	58%	13 Jul →
anubis	13–3	0.06	30%	13 Jul →
ancient	13–9	-0.03	31%	13 Jul →
mirage	9–1	0.03	26%	13 Jul →
dust2	7–13	-0.05	43%	12 Jul →
cache	14–16	0.01	19%	12 Jul →
dust2	7–13	-0.01	19%	5 Jul →
anubis	3–13	-0.03	35%	5 Jul →
ancient	8–13	0.04	16%	5 Jul →
dust2	8–13	0.01	26%	5 Jul →
anubis	13–10	-0.03	20%	4 Jul →
inferno	11–13	0.02	23%	4 Jul →
dust2	9–13	0.01	27%	4 Jul →
mirage	13–7	-0.01	11%	30 Jun →
mirage	13–10	0.04	19%	25 Jun →
mirage	10–13	-0.00	31%	25 Jun →
nuke	13–10	0.05	19%	23 Jun →
dust2	13–9	0.01	21%	23 Jun →
dust2	13–3	0.10	15%	21 Jun →
ancient	13–7	0.08	23%	21 Jun →
anubis	7–13	-0.03	18%	21 Jun →
mirage	11–13	0.05	27%	18 Jun →
dust2	14–16	-0.01	25%	17 Jun →
anubis	13–6	0.02	15%	17 Jun →
mirage	13–5	0.01	23%	17 Jun →
mirage	3–13	0.00	16%	17 Jun →
dust2	2–13	-0.02	16%	17 Jun →
dust2	16–14	0.06	24%	17 Jun →
mirage	2–13	-0.02	27%	15 Jun →
overpass	10–13	-0.04	26%	15 Jun →
ancient	11–13	-0.01	17%	15 Jun →
ancient	6–13	0.01	26%	15 Jun →
dust2	11–13	-0.00	21%	15 Jun →
mirage	7–13	-0.03	8%	15 Jun →
overpass	13–9	0.08	27%	15 Jun →
mirage	13–8	-0.01	14%	15 Jun →
cache	13–4	0.01	39%	15 Jun →
overpass	13–11	-0.03	28%	14 Jun →
dust2	9–13	-0.02	21%	14 Jun →
ancient	13–11	0.08	30%	14 Jun →
dust2	7–13	0.07	19%	14 Jun →
anubis	8–13	-0.02	15%	11 Jun →
ancient	13–10	0.04	29%	11 Jun →
dust2	13–6	0.00	17%	11 Jun →
inferno	9–4	0.14	29%	11 Jun →
cache	4–13	-0.03	28%	6 Jun →
mirage	5–13	0.02	20%	6 Jun →
dust2	13–16	0.02	22%	6 Jun →
ancient	10–13	0.05	21%	6 Jun →
ancient	15–15	0.01	20%	4 Jun →
dust2	13–7	-0.06	26%	3 Jun →
ancient	13–2	-0.02	43%	3 Jun →
anubis	13–9	0.04	25%	2 Jun →