THE CLEANER — CS2 Stats

76561197960401914[U:1:136186]Steam profile ↗✓ No bans

1,942Tracked matches50%Win rate2020Tracked since

CSDB Rating4.8 Developing

CSDB Leaderboard#55250 of 59566 tracked

FaceitLevel 9 · 1,761 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

1,761Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,761
Next: Level 10 at 2,001 — 240 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim47

Positioning59

Utility68

0–100 skill scores via Leetify.

Recent form

HOT51–49Last 10051%Win rateWWWWWWLWWL

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

Player DNA

Aim4.7

Aggression8.6

Utility6.8

Positioning5.9

Opening Duels3.9

Clutch4.2

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 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.7

Positioning5.9

Utility6.8

Mechanics3.5

Opening Duels3.9

Win Impact5.0

Composite 4.8/10 (Developing), 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 time603ms−31ms

first ⅓ avg 634ms → last ⅓ avg 603ms

Headshot accuracy14.8%−0.4%

first ⅓ avg 15.2% → last ⅓ avg 14.8%

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 — inferno 13–9

13–2Biggest win — nuke

6Longest win streak

W6Current streak

5–5In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 61% over 23cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	36	21–15	58%	0.03
nuke	A	23	14–9	61%	0.02
vertigo	B	13	6–7	46%	0.03
overpass	D	11	3–8	27%	0.01
ancient	B	11	5–6	45%	0.02
cache	D	5	1–4	20%	-0.02
anubis	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1,516Matches

50%Win rate

1.15Avg K/D

86.8ADR

38%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	184	55%	1.31	18.7
Ancient	140	49%	1.18	18.1
Nuke	92	46%	1.09	16.8
Vertigo	62	53%	1.36	18.5
Overpass	46	63%	1.12	17.0
Train	15	40%	1.15	17.5
Dust2	14	36%	1.04	16.4
Mirage	9	11%	0.95	14.3

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.

14.9%Headshot accuracy

36.0%Accuracy (enemy spotted)

40.5%Spray accuracy

65.9%Counter-strafing

13.3°Preaim

603msReaction time

42.5%T opening success

48.7%CT opening success

0.61Enemies flashed / flash

3.6%Flash assists

10.16HE damage / grenade

13.46Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.2999° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.8666% — below the 15% mark we flag
Aim Training →

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.

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–13	0.01	22%	29 Aug →
inferno	13–11	0.05	11%	29 Aug →
overpass	13–10	0.04	29%	29 Aug →
nuke	19–16	0.01	16%	22 Aug →
nuke	13–2	0.06	13%	22 Aug →
inferno	13–8	0.10	10%	22 Aug →
cache	5–13	0.01	13%	22 Aug →
inferno	13–9	0.01	12%	22 Aug →
ancient	13–10	0.06	9%	18 Aug →
inferno	11–13	0.01	17%	18 Aug →
nuke	3–13	-0.03	18%	18 Aug →
nuke	16–14	0.04	13%	16 Aug →
inferno	13–3	0.11	26%	16 Aug →
cache	7–13	0.01	17%	16 Aug →
ancient	13–9	0.09	16%	16 Aug →
vertigo	13–9	-0.01	15%	16 Aug →
overpass	13–5	0.02	9%	2 Aug →
ancient	9–13	0.05	22%	2 Aug →
inferno	10–13	-0.01	17%	2 Aug →
vertigo	11–13	0.02	14%	2 Aug →
inferno	20–22	-0.03	11%	28 Jul →
ancient	10–13	-0.03	7%	28 Jul →
nuke	8–13	-0.07	15%	28 Jul →
cache	19–15	-0.02	10%	28 Jul →
inferno	13–7	0.05	11%	7 Jul →
nuke	4–13	-0.06	7%	7 Jul →
inferno	6–13	-0.01	20%	7 Jul →
inferno	10–13	-0.03	13%	28 Jun →
vertigo	10–13	0.12	19%	28 Jun →
overpass	7–13	-0.01	15%	28 Jun →
inferno	13–9	0.16	8%	28 Jun →
ancient	13–4	-0.01	18%	28 Jun →
nuke	16–13	-0.00	11%	21 Jun →
overpass	7–13	-0.01	15%	21 Jun →
inferno	8–13	0.03	14%	21 Jun →
inferno	19–16	0.06	21%	17 Jun →
inferno	13–7	0.04	17%	17 Jun →
nuke	13–10	0.01	21%	17 Jun →
inferno	19–16	0.05	17%	7 Jun →
nuke	10–13	0.11	18%	7 Jun →
inferno	13–6	0.11	18%	7 Jun →
vertigo	10–13	0.02	21%	7 Jun →
inferno	11–13	0.06	18%	7 Jun →
overpass	2–13	-0.06	26%	31 May →
nuke	9–13	0.01	12%	31 May →
inferno	5–13	0.03	20%	31 May →
nuke	6–13	-0.01	8%	31 May →
anubis	13–3	0.01	8%	25 May →
cache	7–13	-0.00	14%	25 May →
vertigo	6–13	-0.04	17%	25 May →
overpass	13–9	0.04	22%	25 May →
vertigo	16–12	0.03	14%	18 May →
nuke	6–13	0.01	16%	18 May →
overpass	11–13	0.01	9%	18 May →
inferno	13–9	-0.01	14%	18 May →
vertigo	16–12	0.10	17%	11 May →
inferno	13–11	0.05	22%	11 May →
ancient	7–13	-0.01	6%	11 May →
nuke	13–2	-0.03	0%	11 May →
nuke	13–8	0.05	13%	9 May →
ancient	4–13	0.02	9%	9 May →
overpass	5–13	0.06	15%	9 May →
inferno	19–16	0.08	18%	9 May →
inferno	19–16	0.02	18%	6 May →
vertigo	9–13	0.03	18%	6 May →
inferno	8–13	0.02	18%	6 May →
cache	6–13	-0.07	10%	6 May →
inferno	6–13	-0.00	15%	4 May →
ancient	13–9	-0.03	9%	4 May →
nuke	13–3	0.05	21%	4 May →
overpass	4–13	0.03	18%	4 May →
nuke	13–10	0.05	24%	28 Apr →
inferno	9–13	-0.00	10%	28 Apr →
inferno	9–2	0.00	27%	28 Apr →
nuke	13–7	0.07	12%	28 Apr →
inferno	13–7	0.01	13%	26 Apr →
inferno	10–13	-0.04	7%	26 Apr →
vertigo	8–13	0.03	8%	26 Apr →
vertigo	13–5	0.08	6%	26 Apr →
ancient	13–8	0.06	15%	21 Apr →
nuke	13–6	0.03	20%	21 Apr →
inferno	13–11	0.01	21%	21 Apr →
overpass	9–13	-0.02	9%	19 Apr →
inferno	13–11	0.06	27%	19 Apr →
inferno	13–8	-0.01	19%	19 Apr →
nuke	2–13	-0.03	12%	19 Apr →
nuke	10–13	-0.05	10%	15 Apr →
inferno	13–4	0.07	20%	15 Apr →
ancient	12–16	0.03	14%	15 Apr →
inferno	7–13	0.04	8%	15 Apr →
inferno	9–13	-0.02	15%	13 Apr →
vertigo	13–8	-0.02	11%	13 Apr →
inferno	6–13	-0.04	23%	13 Apr →
nuke	13–7	0.09	22%	13 Apr →
ancient	16–19	-0.04	9%	7 Apr →
inferno	13–10	0.08	15%	5 Apr →
vertigo	8–13	-0.03	20%	5 Apr →
vertigo	13–10	0.08	9%	5 Apr →
nuke	13–7	0.06	22%	5 Apr →
overpass	2–13	0.01	11%	5 Apr →