Acid — CS2 Stats

76561198069106783[U:1:108841055]

1,029Tracked matches41%Win rate2020Tracked since

2,255Hours in CS4Hrs last 2 wks

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating22,813Top 50% of 819 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)

CSDB Leaderboard#1947 of 6769 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning43

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLTLLWLW

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

Player DNA

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

Aim7.5

Aggression5.1

Utility5.4

Positioning4.3

Opening Duels1.0

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 NiKo 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim7.5

Positioning4.3

Utility5.4

Mechanics8.2

Opening Duels1.7

Win Impact2.1

Composite 5.6/10 (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 rating-0.01−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time589ms−1ms

first ⅓ avg 590ms → last ⅓ avg 589ms

Headshot accuracy16.1%−4.3%

first ⅓ avg 20.4% → last ⅓ avg 16.1%

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

0.18Best rating — nuke 13–3

13–1Biggest win — inferno

5Longest win streak

9–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 86% over 7anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	18	5–13	28%	-0.00
dust2	C	18	7–11	39%	0.03
mirage	A	15	9–6	60%	-0.00
cache	A	14	9–5	64%	0.03
inferno	A	12	7–5	58%	-0.01
anubis	D	10	2–8	20%	-0.01
nuke	S	7	6–1	86%	0.02
overpass	—	3	2–1	67%	0.06
vertigo	—	2	0–2	0%	0.00
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,240Lifetime kills

1.32K/D · Top 25% of Pink band

2,804Matches

47.1%Match win rate · Top 50% of Pink band

52.6%Headshot % · Top 50% of Pink band

15.9%Shot accuracy · Top 50% of Pink band

7,636MVPs

1,232Hours (in match)

1,529Bombs planted

704Bombs defused

Most-used weapons

AK-4736,118

M4A4 / M4A1-S10,272

AWP8,481

Desert Eagle8,396

P2000 / USP-S3,060

Glock-182,461

PP-Bizon1,497

SSG 081,283

P2501,278

UMP-451,083

Lifetime map wins

7,616dust2

5,935inferno

878nuke

876vertigo

292office

200train

77cbble

57dust

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

Faceit stats

Combat

131Matches

48%Win rate

1.34Avg K/D

—ADR

39%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	17%	0.85	14.7
Vertigo	2	100%	1.22	17.0
Inferno	1	0%	1.14	16.0
Overpass	1	0%	0.80	12.0
Ancient	1	0%	0.89	16.0
Anubis	1	0%	0.76	13.0

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.

16.3%Headshot accuracy

34.6%Accuracy (enemy spotted)

38.7%Spray accuracy

87.1%Counter-strafing

9.4°Preaim

590msReaction time

24.8%T opening success

43.4%CT opening success

0.66Enemies flashed / flash

9.5%Flash assists

7.84HE damage / grenade

7.80Flashes / 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 24.8069% — below the 40% mark we flag

Spend your practice time on Anubis

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 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	-0.03	9%	28 Aug →
inferno	3–13	-0.03	27%	27 Aug →
mirage	13–9	0.03	20%	27 Aug →
ancient	7–13	-0.08	14%	27 Aug →
ancient	12–12	0.07	7%	17 Aug →
dust2	10–13	0.01	22%	17 Aug →
vertigo	2–13	-0.05	14%	9 Aug →
mirage	13–9	-0.05	13%	2 Aug →
ancient	9–13	0.01	17%	2 Aug →
nuke	13–9	-0.03	21%	2 Aug →
dust2	8–13	0.05	14%	2 Aug →
anubis	5–13	-0.06	18%	31 Jul →
anubis	13–8	-0.04	14%	31 Jul →
ancient	10–13	-0.09	11%	31 Jul →
dust2	10–13	0.01	16%	31 Jul →
inferno	13–1	-0.01	17%	31 Jul →
ancient	7–13	-0.04	15%	31 Jul →
mirage	13–6	-0.07	25%	31 Jul →
inferno	3–8	-0.05	23%	30 Jul →
cache	10–13	0.01	14%	30 Jul →
anubis	6–13	-0.08	11%	30 Jul →
nuke	13–11	-0.02	35%	30 Jul →
dust2	13–7	0.09	14%	29 Jul →
cache	13–5	0.05	18%	29 Jul →
dust2	10–13	0.07	8%	29 Jul →
dust2	13–11	-0.01	19%	27 Jul →
anubis	8–13	-0.04	16%	27 Jul →
ancient	6–13	-0.09	12%	27 Jul →
ancient	4–0	0.04	11%	26 Jul →
inferno	10–13	0.01	17%	25 Jul →
cache	13–11	0.01	15%	25 Jul →
anubis	4–13	0.04	13%	25 Jul →
nuke	13–10	0.02	11%	25 Jul →
dust2	13–4	-0.01	19%	25 Jul →
cache	13–8	0.03	13%	25 Jul →
nuke	16–13	-0.08	20%	25 Jul →
dust2	13–7	-0.03	11%	25 Jul →
mirage	7–13	-0.01	21%	19 Jul →
cache	10–13	-0.03	17%	19 Jul →
cache	4–13	-0.01	17%	18 Jul →
dust2	13–5	-0.01	13%	18 Jul →
mirage	10–13	-0.03	11%	18 Jul →
inferno	13–10	-0.03	32%	18 Jul →
anubis	7–13	-0.08	13%	13 Jul →
inferno	13–10	0.01	21%	13 Jul →
cache	6–13	0.03	27%	5 Jul →
dust2	11–13	0.06	20%	5 Jul →
ancient	4–13	0.07	22%	5 Jul →
mirage	9–13	0.04	19%	5 Jul →
nuke	2–13	0.00	24%	5 Jul →
anubis	8–13	0.03	19%	5 Jul →
overpass	13–1	0.04	17%	3 Jul →
cache	13–11	0.01	22%	3 Jul →
dust2	11–13	0.08	15%	3 Jul →
cache	13–4	0.08	22%	3 Jul →
mirage	13–9	0.05	20%	3 Jul →
ancient	12–12	0.06	18%	3 Jul →
train	13–5	0.09	33%	3 Jul →
dust2	13–8	-0.00	31%	2 Jul →
ancient	16–14	-0.06	13%	30 Jun →
mirage	11–13	-0.03	19%	30 Jun →
overpass	13–4	0.10	24%	30 Jun →
anubis	13–8	0.00	13%	30 Jun →
cache	6–13	0.02	26%	30 Jun →
dust2	8–13	0.11	21%	30 Jun →
ancient	7–13	0.02	10%	30 Jun →
dust2	13–16	-0.01	26%	30 Jun →
dust2	7–13	0.16	20%	22 Jun →
ancient	12–12	0.05	27%	22 Jun →
cache	13–5	0.04	13%	22 Jun →
cache	13–11	0.08	28%	21 Jun →
mirage	13–3	0.05	16%	21 Jun →
ancient	4–13	0.08	34%	21 Jun →
dust2	5–13	-0.03	24%	20 Jun →
mirage	16–14	-0.00	18%	20 Jun →
ancient	13–9	-0.02	9%	20 Jun →
inferno	6–1	0.06	30%	20 Jun →
mirage	13–3	0.00	22%	20 Jun →
inferno	13–3	-0.05	24%	20 Jun →
ancient	7–13	-0.03	9%	15 Jun →
inferno	13–7	0.01	17%	14 Jun →
mirage	0–7	-0.06	63%	14 Jun →
ancient	7–13	-0.06	15%	14 Jun →
mirage	13–2	-0.01	17%	14 Jun →
nuke	13–8	0.06	24%	14 Jun →
inferno	13–7	-0.01	12%	14 Jun →
overpass	11–13	0.04	21%	7 Jun →
vertigo	6–13	0.06	14%	7 Jun →
nuke	13–3	0.18	22%	7 Jun →
ancient	13–11	-0.03	13%	7 Jun →
dust2	13–8	0.02	17%	7 Jun →
anubis	8–13	0.05	15%	6 Jun →
cache	13–11	0.06	16%	6 Jun →
mirage	8–13	0.05	19%	6 Jun →
mirage	13–1	0.00	27%	25 May →
inferno	5–13	0.07	18%	25 May →
dust2	8–13	-0.02	26%	25 May →
ancient	13–4	0.05	12%	25 May →
inferno	12–16	-0.08	15%	25 May →
anubis	11–13	0.04	18%	17 May →