666 — CS2 Stats

PL76561198085654120[U:1:125388392]Steam profile ↗✓ No bans

432Tracked matches43%Win rate2020Tracked since

4,053Hours in CS

CSDB Rating6.3 SolidAggressive Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim86

Positioning65

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLLWWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim8.6

Aggression10.0

Utility5.4

Positioning6.5

Opening Duels5.0

Clutch3.4

Sharp aimerStrong CT-side opener

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 ZywOo 93% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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 86 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 66% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.5

Utility5.4

Mechanics7.6

Opening Duels5.0

Win Impact2.8

Composite 6.3/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time560ms−20ms

first ⅓ avg 580ms → last ⅓ avg 560ms

Headshot accuracy28.9%−0.3%

first ⅓ avg 29.3% → last ⅓ avg 28.9%

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 — dust2 13–11

13–1Biggest win — mirage

11Longest win streak

L3Current streak

9–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 78% over 9cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	35	20–15	57%	0.02
ancient	B	15	7–8	47%	0.01
dust2	A	15	9–6	60%	0.02
inferno	D	14	4–10	29%	0.03
overpass	S	9	7–2	78%	0.02
cache	D	6	1–5	17%	0.01
nuke	—	4	2–2	50%	-0.01
anubis	—	1	1–0	100%	-0.05
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

474,676Lifetime kills

2.31K/D · Top 1% of tracked players

8,020Matches

44.6%Match win rate

76.3%Headshot % · Top 1% of tracked players

12.9%Shot accuracy · Top 50% of tracked players

34,467MVPs

4,053Hours (in match)

11,161Bombs planted

4,491Bombs defused

Most-used weapons

AK-47285,876

P2000 / USP-S48,668

AWP39,039

Desert Eagle34,340

M4A4 / M4A1-S32,535

Glock-188,798

P2503,374

Knife2,040

Tec-91,940

Five-SeveN1,850

Lifetime map wins

13,483dust2

6,803inferno

4,722cbble

2,861train

1,799nuke

342vertigo

119office

117aztec

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

Faceit stats

Combat

898Matches

53%Win rate

1.22Avg K/D

88.7ADR

54%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	96	55%	1.34	19.0
Dust2	74	49%	1.26	18.0
Ancient	43	58%	1.17	18.2
Cache	39	56%	1.57	21.1
Inferno	33	33%	1.22	18.3
Overpass	19	58%	1.18	21.9
Nuke	9	33%	1.14	17.4
Anubis	3	67%	0.82	15.0

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.

29.3%Headshot accuracy

32.7%Accuracy (enemy spotted)

34.8%Spray accuracy

84.1%Counter-strafing

8.8°Preaim

544msReaction time

34.1%T opening success

66.2%CT opening success

0.64Enemies flashed / flash

2.7%Flash assists

9.84HE damage / grenade

10.47Flashes / 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.

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 34.1171% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	0–9	0.01	43%	13 Aug →
mirage	7–13	-0.04	49%	10 Aug →
ancient	15–19	-0.04	22%	10 Aug →
mirage	13–10	-0.03	26%	26 Jul →
mirage	13–8	0.08	28%	20 Jul →
ancient	14–16	0.01	32%	24 Jun →
mirage	16–14	0.06	30%	22 Jun →
ancient	13–7	0.11	32%	20 Jun →
ancient	13–9	0.06	32%	7 Jun →
overpass	6–13	-0.04	25%	31 May →
nuke	2–13	-0.02	24%	27 May →
cache	13–3	0.13	22%	26 May →
dust2	9–13	-0.00	37%	23 May →
ancient	7–13	-0.01	23%	20 May →
ancient	8–13	0.00	24%	19 May →
ancient	13–9	-0.01	19%	17 May →
mirage	8–13	0.04	26%	17 May →
mirage	19–15	0.05	31%	16 May →
cache	7–13	0.02	27%	13 May →
dust2	8–13	-0.00	16%	13 May →
cache	11–13	-0.04	22%	12 May →
dust2	13–4	-0.00	27%	10 May →
inferno	9–13	0.04	38%	10 May →
mirage	13–10	-0.00	18%	8 May →
cache	11–13	-0.04	41%	8 May →
cache	2–13	-0.03	20%	7 May →
dust2	13–9	0.02	35%	3 May →
dust2	13–11	0.16	48%	28 Apr →
mirage	8–13	0.05	33%	27 Apr →
dust2	13–10	0.01	24%	23 Apr →
inferno	8–8	0.04	29%	4 Mar →
inferno	6–9	0.14	31%	4 Mar →
nuke	3–9	-0.11	19%	4 Mar →
dust2	10–13	0.04	26%	16 Feb →
anubis	13–3	-0.05	38%	12 Feb →
mirage	8–13	-0.04	27%	23 Jan →
dust2	12–12	0.01	26%	22 Jan →
mirage	8–3	0.05	29%	19 Jan →
mirage	7–13	-0.03	24%	16 Jan →
mirage	12–12	-0.00	23%	6 Jan →
inferno	13–11	0.02	23%	4 Jan →
dust2	10–13	-0.05	29%	4 Jan →
mirage	8–13	-0.00	38%	2 Jan →
mirage	13–11	0.04	23%	29 Dec →
mirage	13–8	0.12	23%	29 Dec →
overpass	19–17	0.02	19%	29 Dec →
mirage	13–11	-0.00	22%	28 Dec →
overpass	13–4	0.02	15%	28 Dec →
mirage	13–4	0.06	31%	28 Dec →
dust2	13–10	0.01	33%	28 Dec →
mirage	13–11	0.01	29%	27 Dec →
mirage	13–1	0.07	30%	27 Dec →
ancient	19–16	-0.00	27%	22 Dec →
dust2	13–1	0.04	12%	22 Dec →
inferno	4–13	0.04	27%	19 Dec →
mirage	12–12	0.04	35%	19 Dec →
mirage	13–6	-0.01	29%	18 Dec →
inferno	9–13	0.01	24%	11 Dec →
ancient	16–13	-0.01	17%	10 Dec →
ancient	11–13	-0.02	17%	10 Dec →
dust2	13–11	0.01	36%	9 Dec →
ancient	6–13	-0.04	10%	23 Nov →
ancient	7–13	-0.03	22%	23 Nov →
inferno	4–13	-0.07	27%	12 Oct →
ancient	16–13	0.01	24%	12 Oct →
inferno	13–9	0.06	35%	28 Sept →
overpass	13–3	0.05	20%	28 Sept →
mirage	13–4	-0.02	35%	28 Sept →
dust2	13–6	0.01	37%	28 Sept →
overpass	13–11	-0.02	21%	27 Sept →
mirage	13–2	0.05	34%	27 Sept →
inferno	12–12	-0.03	21%	27 Sept →
mirage	6–13	-0.00	26%	24 Sept →
inferno	11–13	0.12	23%	24 Sept →
mirage	13–9	0.04	20%	24 Sept →
mirage	7–13	-0.02	39%	23 Sept →
nuke	13–10	0.00	28%	20 Sept →
mirage	6–13	-0.09	24%	20 Sept →
mirage	3–13	0.09	41%	17 Sept →
mirage	9–13	-0.03	33%	17 Sept →
inferno	8–13	-0.03	22%	15 Sept →
mirage	10–3	0.08	40%	15 Sept →
ancient	7–13	-0.03	18%	13 Sept →
inferno	12–12	0.02	38%	13 Sept →
overpass	13–5	0.08	26%	13 Sept →
nuke	13–6	0.09	28%	13 Sept →
overpass	13–7	0.01	32%	13 Sept →
mirage	6–13	-0.04	28%	13 Sept →
mirage	13–8	0.08	35%	8 Sept →
mirage	13–8	0.02	33%	6 Sept →
mirage	11–13	0.10	43%	6 Sept →
inferno	13–2	0.01	25%	5 Sept →
dust2	9–13	0.04	32%	5 Sept →
mirage	13–8	0.01	36%	5 Sept →
overpass	13–7	0.05	39%	5 Sept →
ancient	13–4	0.07	28%	5 Sept →
inferno	13–4	0.07	22%	5 Sept →
train	10–13	-0.01	20%	5 Sept →
overpass	12–16	0.01	15%	4 Sept →
dust2	13–10	-0.02	24%	4 Sept →