assemb1ly — CS2 Stats

76561198218978291[U:1:258712563]✓ No bans

1,156Tracked matches47%Win rate2020Tracked since

1,837Hours in CS19Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating21,955Top 50% of 819 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#6707 of 21132 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning54

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLLWWWLLWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.0

Aggression6.2

Utility6.0

Positioning5.4

Opening Duels1.5

Clutch4.4

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 NiKo 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.0

Positioning5.4

Utility6.0

Mechanics7.6

Opening Duels1.5

Win Impact3.9

Composite 6.2/10 (Solid), 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 rating0.02+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time549ms−46ms

first ⅓ avg 595ms → last ⅓ avg 549ms

Headshot accuracy17.8%+0.6%

first ⅓ avg 17.2% → last ⅓ avg 17.8%

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 13–1

13–1Biggest win — dust2

4Longest win streak

10–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 60% over 15dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	29	15–14	52%	-0.01
anubis	B	20	10–10	50%	0.02
nuke	A	15	9–6	60%	0.00
cache	C	14	6–8	43%	-0.00
ancient	A	11	6–5	55%	0.03
dust2	D	5	1–4	20%	-0.00
overpass	—	3	1–2	33%	0.01
mirage	—	2	0–2	0%	-0.00
vertigo	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,522Lifetime kills

0.59K/D

3,726Matches

43.6%Match win rate

39.0%Headshot %

12.0%Shot accuracy

5,143MVPs

1,034Hours (in match)

3,248Bombs planted

708Bombs defused

Most-used weapons

AK-4713,039

M4A4 / M4A1-S7,911

AWP4,770

P2000 / USP-S2,306

Glock-182,005

Desert Eagle1,658

SCAR-201,583

MP91,511

MAC-101,473

Galil AR1,329

Lifetime map wins

3,704dust2

2,786inferno

2,703nuke

1,186vertigo

1,166train

439office

268cbble

226lake

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

Faceit stats

Combat

425Matches

50%Win rate

1.08Avg K/D

75.9ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	82	44%	1.02	15.4
Anubis	76	55%	1.12	15.1
Nuke	64	55%	1.12	15.3
Mirage	58	47%	1.12	15.3
Vertigo	56	46%	1.19	16.2
Inferno	50	68%	1.03	14.7
Dust2	22	27%	0.99	15.5
Cache	7	57%	0.96	15.4

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.

16.8%Headshot accuracy

36.9%Accuracy (enemy spotted)

37.9%Spray accuracy

84.2%Counter-strafing

9.3°Preaim

537msReaction time

35.8%T opening success

35.9%CT opening success

0.57Enemies flashed / flash

7.8%Flash assists

9.89HE damage / grenade

11.00Flashes / 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 35.8193% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	-0.01	20%	24 Aug →
ancient	7–13	0.06	18%	23 Aug →
inferno	9–13	-0.03	19%	22 Aug →
ancient	13–10	0.04	14%	22 Aug →
inferno	13–10	-0.02	8%	22 Aug →
ancient	13–11	-0.03	14%	22 Aug →
inferno	7–9	-0.02	34%	22 Aug →
anubis	5–13	0.01	30%	21 Aug →
inferno	13–8	0.04	8%	21 Aug →
nuke	13–10	-0.03	9%	21 Aug →
ancient	10–13	0.01	22%	20 Aug →
cache	19–17	0.03	13%	9 Aug →
inferno	13–8	-0.01	19%	9 Aug →
anubis	11–13	0.10	19%	9 Aug →
cache	6–13	-0.00	23%	5 Aug →
inferno	0–6	-0.02	17%	1 Aug →
inferno	8–13	-0.08	24%	1 Aug →
ancient	13–7	0.08	10%	30 Jul →
inferno	10–13	-0.06	6%	30 Jul →
ancient	11–13	0.04	20%	25 Jul →
anubis	10–13	0.14	22%	25 Jul →
anubis	7–13	0.02	28%	25 Jul →
cache	10–13	-0.07	5%	23 Jul →
nuke	13–10	0.02	16%	19 Jul →
inferno	13–16	0.04	20%	19 Jul →
cache	11–13	0.01	16%	16 Jul →
cache	10–13	-0.03	11%	16 Jul →
anubis	16–14	-0.02	16%	14 Jul →
anubis	13–7	0.05	14%	14 Jul →
cache	13–8	0.08	25%	14 Jul →
dust2	13–1	0.16	33%	13 Jul →
cache	15–15	-0.09	19%	11 Jul →
cache	13–4	0.07	17%	11 Jul →
cache	13–11	-0.01	25%	11 Jul →
nuke	4–13	-0.04	21%	10 Jul →
nuke	13–6	0.06	20%	10 Jul →
nuke	13–9	0.02	22%	9 Jul →
anubis	13–8	-0.04	13%	9 Jul →
cache	13–2	0.04	34%	9 Jul →
ancient	8–13	0.06	22%	8 Jul →
ancient	13–10	-0.04	8%	6 Jul →
anubis	5–13	-0.03	16%	5 Jul →
inferno	13–16	-0.01	10%	29 Jun →
cache	4–13	-0.14	13%	11 Jun →
anubis	4–13	0.02	30%	11 Jun →
inferno	13–4	0.00	20%	4 Jun →
dust2	5–13	-0.09	20%	18 May →
nuke	6–13	-0.06	12%	18 May →
anubis	13–8	0.01	27%	18 May →
inferno	9–7	0.02	27%	18 May →
anubis	9–13	0.03	16%	17 May →
inferno	6–9	0.01	30%	17 May →
nuke	11–13	-0.04	26%	17 May →
nuke	13–3	0.04	31%	17 May →
inferno	16–13	0.00	6%	17 May →
dust2	11–13	-0.03	13%	16 May →
ancient	13–3	0.16	10%	16 May →
inferno	13–5	-0.02	13%	16 May →
cache	13–3	0.04	14%	16 May →
mirage	10–13	-0.01	28%	15 May →
inferno	8–13	-0.03	25%	15 May →
nuke	13–9	0.01	9%	15 May →
anubis	13–11	-0.09	3%	14 May →
inferno	16–14	-0.04	17%	14 May →
nuke	15–15	0.02	16%	14 May →
ancient	13–11	-0.02	19%	14 May →
nuke	7–13	0.01	13%	12 May →
inferno	13–6	-0.04	9%	12 May →
anubis	12–16	0.05	20%	10 May →
inferno	9–13	-0.00	28%	10 May →
inferno	13–10	0.02	32%	8 May →
overpass	8–13	-0.01	17%	8 May →
anubis	16–14	0.02	16%	8 May →
anubis	13–10	-0.01	15%	7 May →
mirage	10–13	-0.00	19%	6 May →
overpass	13–8	0.02	26%	5 May →
nuke	9–4	0.05	25%	5 May →
inferno	14–16	-0.00	15%	5 May →
vertigo	3–9	-0.12	19%	5 May →
overpass	7–13	0.02	13%	29 Apr →
cache	10–13	-0.03	16%	29 Apr →
cache	7–13	0.05	17%	29 Apr →
anubis	13–6	0.01	17%	26 Apr →
ancient	15–15	-0.03	17%	26 Apr →
inferno	8–13	0.01	8%	20 Apr →
dust2	11–13	-0.04	16%	19 Apr →
inferno	13–7	0.01	20%	19 Apr →
anubis	13–3	0.07	9%	18 Apr →
inferno	9–13	-0.03	16%	18 Apr →
inferno	7–13	-0.06	10%	16 Apr →
nuke	10–13	-0.02	18%	16 Apr →
nuke	13–5	0.05	16%	15 Apr →
inferno	13–8	-0.00	4%	15 Apr →
nuke	13–7	-0.01	31%	15 Apr →
anubis	16–12	0.02	23%	15 Apr →
anubis	9–13	-0.07	25%	15 Apr →
inferno	16–14	-0.02	17%	14 Apr →
dust2	11–13	-0.02	7%	14 Apr →
inferno	13–6	-0.07	11%	14 Apr →
anubis	11–13	0.00	13%	13 Apr →