Liquor — CS2 Stats

CA76561199872758806[U:1:1912493078]Steam profile ↗

491Tracked matches55%Win rate2025Tracked since

485Hours in CS11Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating18,708Purple band · top ~13.6% of ranked players (population est.)

CSDB Leaderboard#11784 of 23822 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	41.2%	44.1%	47.2%	6.0% short
Shot accuracy	0.0%	11.4%	12.7%	12.7% short
Kill/death ratio	1.46	1.03	1.09	above
Match win rate	56.1%	45.2%	46.6%	above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning57

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLWLWLLWWTL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim7.5

Aggression8.2

Utility5.1

Positioning5.7

Opening Duels2.9

Clutch4.6

Strong 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 b1t 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 51% on CT to 32% 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

Aim7.5

Positioning5.7

Utility5.1

Mechanics6.5

Opening Duels2.9

Win Impact6.7

Composite 6.1/10 (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 rating0.00−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time473ms−72ms

first ⅓ avg 546ms → last ⅓ avg 473ms

Headshot accuracy11.7%−6.1%

first ⅓ avg 17.8% → last ⅓ avg 11.7%

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 — dust2 11–13

13–1Biggest win — ancient

8Longest win streak

4–2In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 83% over 6cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	13–10	57%	0.03
dust2	B	17	9–8	53%	0.01
mirage	S	13	10–3	77%	0.05
nuke	B	12	6–6	50%	0.02
cache	D	9	3–6	33%	0.03
ancient	S	8	6–2	75%	0.05
overpass	S	6	5–1	83%	0.07
anubis	A	5	3–2	60%	0.02
train	—	3	2–1	67%	0.03
vertigo	—	2	1–1	50%	0.08
office	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Lifetime stats

11,914Lifetime kills

1.46K/D · Top 5% of Purple band

642Matches

56.1%Match win rate · Top 5% of Purple band

41.2%Headshot %

0.0%Shot accuracy

1,899MVPs

215Hours (in match)

285Bombs planted

149Bombs defused

Most-used weapons

AK-475,373

M4A4 / M4A1-S1,574

AWP1,500

Desert Eagle670

MP9663

P2000 / USP-S607

Glock-18447

MAC-10340

SSG 08317

Knife124

Lifetime map wins

1,027nuke

816dust2

781inferno

319train

299vertigo

213office

57italy

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

Faceit stats

Combat

45Matches

51%Win rate

1.32Avg K/D

100.3ADR

42%Headshot %

Clutches & streaks

43%1v1 clutch win

31%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	45%	1.25	20.4
Ancient	8	50%	1.47	19.1
Dust2	8	50%	1.22	18.4
Inferno	6	50%	1.32	20.5
Nuke	5	40%	1.15	16.8
Overpass	4	75%	1.68	30.5
Anubis	2	50%	1.10	22.5
Cache	1	100%	1.73	26.0

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.

13.1%Headshot accuracy

33.5%Accuracy (enemy spotted)

42.7%Spray accuracy

79.1%Counter-strafing

8.8°Preaim

508msReaction time

32.1%T opening success

51.2%CT opening success

0.51Enemies flashed / flash

8.0%Flash assists

5.98HE damage / grenade

7.59Flashes / 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 13.1039% — 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 32.1287% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.10	13%	27 Aug →
mirage	13–11	0.02	34%	27 Aug →
dust2	0–13	-0.09	14%	27 Aug →
inferno	6–3	-0.02	18%	27 Aug →
dust2	19–22	-0.02	14%	23 Aug →
ancient	8–13	0.08	22%	21 Aug →
cache	13–8	-0.01	12%	19 Aug →
train	13–7	-0.01	9%	17 Aug →
inferno	12–12	0.03	17%	17 Aug →
cache	5–13	-0.00	12%	17 Aug →
ancient	13–6	0.03	11%	5 Aug →
train	13–2	0.05	11%	5 Aug →
nuke	13–6	0.05	11%	5 Aug →
ancient	13–11	0.05	16%	26 Jul →
mirage	13–7	0.13	13%	22 Jul →
dust2	13–3	0.05	15%	22 Jul →
dust2	0–13	-0.04	0%	21 Jul →
inferno	0–13	-0.05	0%	21 Jul →
inferno	0–13	-0.03	0%	21 Jul →
inferno	13–4	0.07	16%	21 Jul →
mirage	13–6	0.09	11%	21 Jul →
inferno	1–13	-0.10	0%	21 Jul →
anubis	0–13	-0.04	0%	21 Jul →
anubis	13–2	0.05	20%	19 Jul →
inferno	6–13	0.04	13%	16 Jul →
nuke	3–13	-0.04	3%	15 Jul →
ancient	13–1	0.09	11%	15 Jul →
dust2	13–9	0.06	16%	15 Jul →
inferno	0–13	-0.12	26%	14 Jul →
dust2	13–10	0.00	12%	14 Jul →
anubis	0–2	-0.00	0%	14 Jul →
inferno	0–13	-0.06	0%	14 Jul →
mirage	13–9	-0.03	16%	14 Jul →
inferno	8–1	0.01	0%	14 Jul →
inferno	0–13	-0.07	0%	14 Jul →
nuke	13–1	0.04	14%	14 Jul →
nuke	13–5	0.10	15%	8 Jul →
overpass	13–11	0.07	12%	2 Jul →
nuke	7–13	-0.03	25%	2 Jul →
mirage	5–13	-0.02	20%	2 Jul →
dust2	13–3	0.04	13%	2 Jul →
inferno	13–2	0.07	48%	29 Jun →
mirage	13–9	0.01	16%	27 Jun →
nuke	13–3	0.01	19%	25 Jun →
inferno	1–9	0.13	13%	20 Jun →
cache	3–13	0.06	18%	20 Jun →
nuke	10–3	0.05	12%	20 Jun →
mirage	13–7	0.06	14%	19 Jun →
inferno	13–6	0.16	4%	19 Jun →
train	6–13	0.03	13%	17 Jun →
ancient	13–2	0.14	20%	11 Jun →
overpass	25–22	0.04	11%	11 Jun →
nuke	5–13	-0.01	31%	11 Jun →
inferno	19–15	0.03	14%	8 Jun →
nuke	3–13	-0.07	18%	7 Jun →
dust2	13–9	0.11	12%	7 Jun →
mirage	9–13	0.04	18%	7 Jun →
nuke	13–9	0.18	14%	7 Jun →
inferno	13–11	0.09	22%	5 Jun →
inferno	13–2	0.13	20%	5 Jun →
cache	13–4	0.13	23%	5 Jun →
vertigo	8–13	0.07	23%	4 Jun →
cache	13–2	0.12	14%	4 Jun →
cache	2–7	0.02	0%	1 Jun →
dust2	13–5	-0.03	12%	30 May →
inferno	9–13	0.09	13%	24 May →
cache	7–13	-0.06	9%	24 May →
mirage	13–10	0.05	13%	23 May →
ancient	9–13	-0.02	15%	23 May →
cache	6–13	-0.04	21%	22 May →
dust2	11–13	0.21	18%	18 May →
dust2	10–13	-0.07	8%	17 May →
dust2	7–13	-0.01	13%	17 May →
office	1–12	-0.02	67%	17 May →
mirage	13–5	0.01	26%	14 May →
nuke	1–12	-0.11	0%	14 May →
overpass	13–3	0.09	8%	14 May →
anubis	13–1	0.04	22%	10 May →
dust2	13–5	0.02	17%	10 May →
dust2	5–13	-0.04	24%	10 May →
overpass	10–13	0.04	16%	10 May →
nuke	7–13	0.03	7%	10 May →
ancient	13–2	0.03	17%	10 May →
mirage	13–7	0.10	26%	2 May →
office	13–10	-0.04	23%	2 May →
inferno	13–1	0.09	21%	2 May →
cache	4–13	0.04	20%	2 May →
dust2	13–8	0.09	14%	24 Apr →
overpass	13–5	0.07	18%	18 Apr →
inferno	13–4	0.12	24%	18 Apr →
inferno	16–13	0.08	10%	11 Apr →
mirage	13–6	0.16	13%	11 Apr →
dust2	13–8	-0.00	13%	11 Apr →
inferno	13–9	-0.07	21%	9 Apr →
ancient	13–10	0.01	12%	8 Apr →
mirage	9–13	0.04	17%	8 Apr →
inferno	10–0	0.04	13%	8 Apr →
vertigo	13–9	0.09	16%	8 Apr →
anubis	13–10	0.07	20%	4 Apr →
overpass	13–9	0.10	18%	4 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

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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