Mercedes enjoyer — CS2 Stats

76561198041688510[U:1:81422782]

394Tracked matches40%Win rate2020Tracked since

1,797Hours in CS1Hrs last 2 wks

CSDB Rating4.3 DevelopingHybrid Rifler

FaceitLevel 3 · 821 ELOTop 90.6% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning39

Utility11

0–100 skill scores via Leetify.

Recent form

COLD60–40Last 10060%Win rateLWWLLWLLLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim9.0

Aggression5.1

Utility1.1

Positioning3.9

Opening Duels0.2

Clutch2.0

Sharp aimerLimited utility dependence

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 NiKo 80% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 51 points — deaths here waste a strong aim profile.

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

Reaction time. 561ms 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

Aim9.0

Positioning3.9

Utility1.1

Mechanics6.5

Opening Duels0.3

Win Impact1.7

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time553ms−68ms

first ⅓ avg 621ms → last ⅓ avg 553ms

Headshot accuracy32.4%+6.8%

first ⅓ avg 25.6% → last ⅓ avg 32.4%

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.

Highlights

0.21Best rating — mirage 13–8

13–1Biggest win — ancient

8Longest win streak

6–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 82% over 11ancientWeakest map · 50% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	14–13	52%	0.03
inferno	S	20	13–7	65%	0.01
dust2	A	15	9–6	60%	-0.01
ancient	B	12	6–6	50%	0.01
nuke	S	11	9–2	82%	0.00
train	—	4	3–1	75%	0.03
overpass	—	3	1–2	33%	-0.00
cache	—	3	0–3	0%	-0.00
anubis	—	3	3–0	100%	-0.01
office	—	2	2–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,931Lifetime kills

0.95K/D

2,719Matches

46.8%Match win rate · Top 50% of tracked players

35.3%Headshot %

13.3%Shot accuracy · Top 50% of tracked players

5,678MVPs

927Hours (in match)

2,977Bombs planted

614Bombs defused

Most-used weapons

AK-4710,386

AWP9,342

M4A4 / M4A1-S6,978

AUG2,365

P2000 / USP-S1,935

SG 5531,776

Glock-181,496

Desert Eagle1,423

SSG 081,236

Knife730

Lifetime map wins

3,350inferno

1,897dust2

866nuke

680lake

383train

292office

204italy

185cbble

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

Faceit stats

Combat

156Matches

46%Win rate

1.23Avg K/D

78.2ADR

40%Headshot %

Clutches & streaks

30%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	59	54%	1.26	16.7
Ancient	23	43%	1.29	19.6
Cache	14	50%	2.25	17.4
Nuke	12	42%	0.87	12.3
Dust2	11	45%	0.93	15.4
Inferno	11	9%	0.80	12.6
Anubis	8	38%	1.26	16.5
Overpass	7	57%	1.16	17.6

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.

32.9%Headshot accuracy

38.4%Accuracy (enemy spotted)

25.6%Spray accuracy

79.2%Counter-strafing

6.6°Preaim

561msReaction time

29.7%T opening success

32.2%CT opening success

0.17Enemies flashed / flash

3.2%Flash assists

6.81HE damage / grenade

2.13Flashes / 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.

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 0.1746 — below the 0.5 mark we flag
Grenade Lineups →
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 29.6972% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.04	16%	4 Jul →
mirage	13–7	0.06	50%	23 Jun →
dust2	13–4	0.02	45%	23 Jun →
dust2	1–13	-0.02	100%	23 Jun →
overpass	2–13	-0.02	100%	21 Jun →
ancient	13–1	0.08	60%	21 Jun →
dust2	0–5	-0.05	0%	21 Jun →
cache	9–13	0.01	17%	30 May →
cache	10–13	-0.01	11%	8 May →
cache	4–13	0.00	19%	29 Apr →
mirage	13–9	0.10	40%	6 Apr →
mirage	13–16	0.09	53%	6 Apr →
mirage	6–13	-0.05	16%	14 Mar →
inferno	11–13	0.02	11%	9 Mar →
nuke	13–6	0.06	13%	24 Feb →
mirage	5–13	-0.08	27%	19 Feb →
mirage	1–8	-0.03	6%	17 Feb →
ancient	0–13	-0.10	0%	16 Feb →
anubis	13–8	-0.02	18%	15 Feb →
ancient	13–4	0.01	8%	15 Feb →
inferno	5–13	-0.09	21%	11 Feb →
ancient	3–13	-0.10	40%	11 Feb →
mirage	0–13	0.01	33%	5 Feb →
nuke	13–10	0.01	62%	4 Feb →
mirage	13–6	0.03	28%	4 Feb →
office	12–3	-0.03	20%	1 Feb →
office	13–7	0.05	36%	1 Feb →
ancient	0–13	-0.03	47%	31 Jan →
inferno	3–9	-0.14	25%	31 Jan →
dust2	13–7	0.13	40%	31 Jan →
ancient	0–13	-0.03	57%	31 Jan →
mirage	4–9	-0.02	33%	29 Jan →
inferno	13–2	0.02	16%	29 Jan →
dust2	5–13	0.05	38%	29 Jan →
anubis	13–1	-0.08	0%	28 Jan →
nuke	2–13	-0.05	43%	28 Jan →
inferno	9–13	0.09	30%	28 Jan →
mirage	16–13	0.03	25%	28 Jan →
nuke	13–5	0.00	31%	27 Jan →
nuke	13–2	-0.03	37%	27 Jan →
dust2	13–4	-0.02	24%	26 Jan →
mirage	4–13	0.01	23%	25 Jan →
anubis	13–9	0.08	22%	25 Jan →
mirage	9–6	0.10	41%	25 Jan →
nuke	16–12	0.07	30%	25 Jan →
mirage	1–13	-0.03	26%	25 Jan →
inferno	13–4	0.11	26%	25 Jan →
mirage	13–8	0.05	39%	24 Jan →
ancient	8–13	0.06	33%	23 Jan →
ancient	13–7	0.15	32%	23 Jan →
inferno	9–5	0.00	40%	20 Jan →
dust2	13–6	-0.01	24%	18 Jan →
mirage	10–13	0.02	32%	18 Jan →
inferno	13–4	0.15	19%	18 Jan →
mirage	13–9	0.10	37%	17 Jan →
mirage	13–8	0.21	27%	17 Jan →
mirage	13–4	0.07	37%	15 Jan →
inferno	13–8	0.00	16%	15 Jan →
inferno	13–11	0.11	27%	14 Jan →
nuke	13–4	0.08	38%	14 Jan →
dust2	6–13	-0.11	0%	13 Jan →
nuke	13–8	-0.06	30%	13 Jan →
nuke	13–7	-0.06	27%	13 Jan →
nuke	13–11	-0.00	27%	11 Jan →
inferno	13–9	-0.02	22%	9 Jan →
mirage	13–2	0.05	37%	9 Jan →
inferno	9–5	0.11	35%	9 Jan →
dust2	13–2	0.02	27%	8 Jan →
ancient	13–3	0.09	29%	23 Dec →
inferno	14–16	-0.00	19%	24 Oct →
mirage	0–13	-0.04	0%	24 Oct →
dust2	13–11	-0.09	10%	8 Oct →
inferno	13–3	-0.09	0%	8 Oct →
dust2	4–0	0.05	33%	8 Oct →
inferno	9–1	0.15	39%	6 Oct →
ancient	13–7	-0.09	35%	26 Sept →
inferno	9–6	0.11	42%	25 Sept →
dust2	7–13	0.04	28%	25 Sept →
mirage	11–13	0.03	27%	25 Sept →
inferno	13–9	0.01	53%	25 Sept →
dust2	13–11	-0.04	28%	25 Sept →
mirage	13–6	0.05	27%	19 Sept →
mirage	5–13	-0.04	24%	19 Sept →
mirage	6–13	0.00	47%	19 Sept →
inferno	1–9	-0.27	0%	17 Sept →
train	13–11	-0.00	25%	17 Sept →
inferno	6–9	-0.11	30%	17 Sept →
train	11–13	-0.00	18%	16 Sept →
inferno	9–6	0.04	38%	15 Sept →
mirage	13–9	0.08	34%	14 Sept →
train	13–9	0.02	23%	12 Sept →
mirage	13–5	-0.01	11%	12 Sept →
dust2	13–9	-0.01	23%	10 Sept →
overpass	13–7	0.02	24%	7 Sept →
train	13–6	0.09	16%	7 Sept →
ancient	6–13	-0.01	18%	7 Sept →
nuke	6–13	-0.00	27%	7 Sept →
ancient	16–14	0.07	31%	6 Sept →
mirage	13–4	0.06	22%	6 Sept →
overpass	4–13	-0.00	35%	6 Sept →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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