qu1n — CS2 Stats

76561198046005256[U:1:85739528]✓ No bans

989Tracked matches54%Win rate2021Tracked since

2,416Hours in CS4Hrs last 2 wks

CSDB Rating5.6 Solid

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning52

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY40–43–17Last 10040%Win rateWWWLWLLWWL

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

Player DNA

Aim5.2

Aggression7.1

Utility6.6

Positioning5.2

Opening Duels2.9

Clutch2.4

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 Twistzz 86% playstyle similarity

Most alike: positioning profile, 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. 650ms 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

Aim5.2

Positioning5.2

Utility6.6

Mechanics7.5

Opening Duels2.9

Win Impact6.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time648ms−64ms

first ⅓ avg 712ms → last ⅓ avg 648ms

Headshot accuracy12.6%−0.8%

first ⅓ avg 13.4% → last ⅓ avg 12.6%

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

0.11Best rating — train 13–0

13–0Biggest win — train

3Longest win streak

W3Current streak

3–12In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 67% over 6trainWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	67	27–40	40%	-0.01
train	D	7	2–5	29%	-0.02
inferno	D	6	2–4	33%	-0.06
cache	S	6	4–2	67%	-0.01
vertigo	—	4	2–2	50%	0.01
office	—	3	0–3	0%	-0.04
ancient	—	2	1–1	50%	-0.04
mirage	—	2	1–1	50%	-0.04
nuke	—	1	1–0	100%	-0.04
italy	—	1	0–1	0%	-0.11
anubis	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Lifetime stats

84,523Lifetime kills

0.93K/D

4,513Matches

38.3%Match win rate

35.8%Headshot %

14.1%Shot accuracy · Top 50% of tracked players

6,530MVPs

1,731Hours (in match)

2,988Bombs planted

918Bombs defused

Most-used weapons

AK-4723,276

M4A4 / M4A1-S15,009

AWP8,846

P2000 / USP-S3,987

P903,481

Glock-182,531

P2501,866

Desert Eagle1,862

Galil AR1,842

Five-SeveN1,768

Lifetime map wins

26,089dust2

1,797inferno

623train

410office

364nuke

173vertigo

144italy

114dust

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

Faceit stats

Combat

45Matches

47%Win rate

0.89Avg K/D

63.4ADR

40%Headshot %

Clutches & streaks

32%1v1 clutch win

12%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	15	40%	0.88	12.5
Dust2	14	50%	0.92	14.2
Ancient	7	71%	0.93	13.7
Mirage	5	20%	0.88	14.2
Vertigo	1	100%	0.62	13.0
Anubis	1	0%	0.50	9.0
Nuke	1	0%	0.59	10.0
Train	1	100%	1.12	9.0

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.

12.6%Headshot accuracy

32.1%Accuracy (enemy spotted)

31.4%Spray accuracy

83.8%Counter-strafing

9.8°Preaim

650msReaction time

34.3%T opening success

49.2%CT opening success

0.65Enemies flashed / flash

5.6%Flash assists

12.32HE damage / grenade

12.38Flashes / 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.

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 12.5973% — below the 15% mark we flag
Aim Training →
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 34.2541% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–5	-0.04	16%	28 Aug →
ancient	13–8	-0.08	4%	28 Aug →
nuke	13–7	-0.04	13%	21 Aug →
dust2	14–16	-0.01	2%	20 Aug →
dust2	16–12	-0.06	9%	20 Aug →
office	5–13	-0.05	17%	14 Aug →
train	4–13	-0.06	4%	14 Aug →
train	13–0	0.11	15%	12 Aug →
train	13–2	-0.01	10%	12 Aug →
dust2	11–13	0.00	10%	5 Aug →
vertigo	13–8	0.05	14%	2 Aug →
dust2	7–13	0.01	17%	1 Aug →
dust2	11–13	-0.04	2%	1 Aug →
dust2	13–11	0.02	10%	22 Jul →
dust2	13–2	-0.04	5%	21 Jul →
cache	13–9	-0.05	21%	17 Jul →
dust2	7–13	-0.00	20%	15 Jul →
dust2	5–13	-0.04	17%	15 Jul →
office	8–13	-0.05	18%	11 Jul →
dust2	13–9	0.00	16%	10 Jul →
dust2	6–13	0.04	14%	10 Jul →
dust2	12–12	0.01	11%	10 Jul →
dust2	13–7	0.04	14%	5 Jul →
dust2	12–8	0.02	13%	4 Jul →
dust2	2–13	-0.01	23%	1 Jul →
dust2	13–7	-0.00	4%	1 Jul →
dust2	9–13	-0.04	15%	27 Jun →
dust2	0–13	-0.04	21%	27 Jun →
dust2	13–11	0.00	20%	25 Jun →
dust2	12–12	-0.02	13%	25 Jun →
dust2	13–5	-0.02	11%	24 Jun →
dust2	13–8	-0.06	10%	20 Jun →
train	4–13	-0.04	7%	19 Jun →
train	12–12	0.02	12%	19 Jun →
dust2	10–13	-0.01	14%	17 Jun →
dust2	11–13	0.04	10%	16 Jun →
dust2	10–13	-0.04	7%	16 Jun →
dust2	13–4	0.01	7%	15 Jun →
dust2	13–9	0.02	19%	13 Jun →
cache	8–13	-0.03	20%	12 Jun →
dust2	7–13	0.01	20%	11 Jun →
vertigo	13–7	-0.04	14%	6 Jun →
vertigo	5–13	-0.05	10%	4 Jun →
vertigo	12–12	0.09	6%	3 Jun →
inferno	11–13	-0.07	14%	29 May →
dust2	9–13	-0.02	10%	29 May →
dust2	12–12	-0.07	16%	20 May →
dust2	8–13	-0.08	10%	20 May →
dust2	13–11	0.07	9%	18 May →
cache	13–10	0.01	12%	17 May →
dust2	12–12	-0.02	10%	17 May →
dust2	5–13	-0.05	6%	17 May →
dust2	13–9	0.02	8%	15 May →
cache	13–8	-0.02	4%	11 May →
dust2	13–9	0.01	4%	9 May →
cache	12–12	0.08	14%	2 May →
cache	13–9	-0.01	14%	30 Apr →
dust2	8–13	-0.00	16%	24 Apr →
train	12–12	-0.11	6%	22 Apr →
dust2	13–3	-0.01	8%	19 Apr →
office	6–13	-0.01	11%	19 Apr →
dust2	11–13	-0.05	15%	17 Apr →
inferno	2–13	-0.05	5%	17 Apr →
dust2	8–13	0.01	13%	15 Apr →
dust2	5–13	0.03	9%	8 Apr →
dust2	13–6	-0.03	13%	8 Apr →
dust2	12–12	-0.07	8%	8 Apr →
inferno	11–13	-0.06	14%	3 Apr →
dust2	7–13	-0.07	16%	3 Apr →
ancient	10–13	0.00	16%	1 Apr →
mirage	13–10	-0.07	5%	1 Apr →
italy	12–12	-0.11	6%	25 Mar →
dust2	0–2	-0.05	0%	25 Mar →
dust2	12–12	-0.06	22%	25 Mar →
dust2	13–4	-0.01	9%	25 Mar →
dust2	12–12	0.01	7%	24 Mar →
dust2	13–6	-0.01	10%	21 Mar →
dust2	13–6	0.02	36%	21 Mar →
dust2	12–12	-0.04	13%	19 Mar →
dust2	14–16	-0.08	17%	19 Mar →
dust2	11–13	-0.03	13%	17 Mar →
dust2	12–12	-0.02	11%	16 Mar →
dust2	13–6	0.06	27%	16 Mar →
dust2	13–5	0.01	19%	15 Mar →
dust2	12–12	-0.08	8%	11 Mar →
dust2	13–9	-0.03	6%	11 Mar →
dust2	13–6	0.01	9%	6 Mar →
dust2	11–13	0.04	10%	6 Mar →
inferno	0–13	-0.11	4%	6 Mar →
mirage	6–13	-0.01	9%	2 Mar →
dust2	12–12	-0.01	18%	2 Mar →
dust2	13–9	-0.05	9%	1 Mar →
train	5–13	-0.07	19%	1 Mar →
inferno	13–10	-0.02	21%	25 Feb →
dust2	13–5	0.07	17%	24 Feb →
dust2	12–12	0.02	10%	23 Feb →
dust2	13–2	-0.02	26%	22 Feb →
anubis	1–13	-0.05	10%	22 Feb →
dust2	11–13	-0.04	9%	17 Feb →
dust2	7–13	-0.00	21%	17 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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

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