Doing Acid — CS2 Stats

76561198138543639[U:1:178277911]Steam profile ↗✓ No bans

5,818Tracked matches43%Win rate2020Tracked since

CSDB Rating3.9 Learning

Premier CS Rating13,063Blue band · top ~38.7% of ranked players (population est.)

CSDB Leaderboard#28167 of 42349 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning39

Utility67

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateTLWLLWWLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim3.7

Aggression4.8

Utility6.7

Positioning3.9

Opening Duels2.2

Clutch3.0

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 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Strengths

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms 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

Aim3.7

Positioning3.9

Utility6.7

Mechanics5.0

Opening Duels2.3

Win Impact2.6

Composite 3.9/10 (Learning), 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 rating-0.01−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time680ms−62ms

first ⅓ avg 742ms → last ⅓ avg 680ms

Headshot accuracy13.8%−2.3%

first ⅓ avg 16.1% → last ⅓ avg 13.8%

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

0.13Best rating — dust2 13–3

13–1Biggest win — cache

5Longest win streak

7–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 73% over 15ancientWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	13–10	57%	0.00
nuke	C	19	7–12	37%	-0.03
ancient	D	15	4–11	27%	-0.04
inferno	S	15	11–4	73%	0.01
anubis	C	13	5–8	38%	-0.00
mirage	C	7	3–4	43%	-0.02
cache	A	5	3–2	60%	0.01
overpass	—	3	2–1	67%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,243Matches

51%Win rate

1.01Avg K/D

85.9ADR

37%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	49	61%	1.16	17.4
Nuke	38	55%	0.99	17.3
Vertigo	36	47%	1.02	17.7
Inferno	32	41%	0.95	15.6
Ancient	32	38%	0.97	15.8
Mirage	32	41%	0.82	13.7
Dust2	22	41%	0.95	15.9
Train	1	0%	0.44	8.0

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.

14.5%Headshot accuracy

30.0%Accuracy (enemy spotted)

32.7%Spray accuracy

72.6%Counter-strafing

10.9°Preaim

671msReaction time

29.1%T opening success

48.6%CT opening success

0.86Enemies flashed / flash

9.2%Flash assists

11.88HE damage / grenade

10.91Flashes / 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 14.539% — 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 29.0724% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	15–15	-0.02	15%	30 Aug →
dust2	14–16	0.02	14%	29 Aug →
nuke	13–10	-0.03	21%	29 Aug →
ancient	6–13	-0.04	17%	29 Aug →
nuke	8–13	-0.10	10%	29 Aug →
dust2	13–5	0.03	10%	29 Aug →
mirage	13–10	-0.02	14%	29 Aug →
ancient	13–16	-0.02	8%	29 Aug →
anubis	10–13	0.03	10%	24 Aug →
dust2	3–13	-0.07	11%	24 Aug →
dust2	13–11	0.06	25%	24 Aug →
nuke	10–13	-0.11	11%	24 Aug →
ancient	5–13	-0.02	5%	23 Aug →
dust2	13–8	-0.02	11%	23 Aug →
dust2	13–9	0.01	10%	23 Aug →
cache	13–11	-0.02	13%	22 Aug →
dust2	13–7	0.04	9%	22 Aug →
inferno	1–3	-0.08	0%	21 Aug →
cache	5–13	-0.00	25%	21 Aug →
anubis	13–3	0.08	9%	21 Aug →
nuke	6–13	-0.06	18%	20 Aug →
dust2	8–13	-0.02	13%	20 Aug →
dust2	13–4	-0.02	7%	20 Aug →
dust2	15–15	-0.08	16%	20 Aug →
anubis	11–13	-0.02	17%	20 Aug →
mirage	13–3	0.07	21%	20 Aug →
dust2	6–13	-0.01	28%	19 Aug →
inferno	13–10	0.01	9%	19 Aug →
mirage	8–13	-0.07	21%	19 Aug →
cache	11–13	0.02	21%	19 Aug →
inferno	13–9	0.02	14%	19 Aug →
ancient	9–13	-0.04	7%	17 Aug →
nuke	13–8	-0.00	13%	17 Aug →
mirage	5–13	-0.06	27%	17 Aug →
nuke	13–9	-0.01	13%	16 Aug →
dust2	13–9	-0.00	20%	12 Aug →
cache	13–1	0.11	11%	12 Aug →
inferno	13–8	0.00	13%	11 Aug →
dust2	13–3	0.13	14%	11 Aug →
mirage	11–13	-0.05	14%	7 Aug →
ancient	13–10	-0.07	14%	7 Aug →
inferno	10–13	-0.03	13%	7 Aug →
anubis	13–9	0.02	14%	6 Aug →
nuke	11–13	-0.03	9%	6 Aug →
anubis	13–10	-0.00	8%	6 Aug →
inferno	16–12	-0.03	19%	4 Aug →
nuke	13–7	0.12	14%	3 Aug →
nuke	11–13	-0.03	10%	3 Aug →
nuke	9–13	0.03	22%	2 Aug →
nuke	7–13	-0.07	9%	18 Jul →
dust2	13–9	-0.00	14%	16 Jul →
inferno	15–15	0.09	17%	16 Jul →
dust2	10–13	-0.00	30%	15 Jul →
cache	13–10	-0.05	10%	15 Jul →
ancient	6–13	-0.07	22%	13 Jul →
anubis	15–15	-0.02	23%	12 Jul →
dust2	13–8	0.01	13%	10 Jul →
anubis	7–13	-0.03	14%	10 Jul →
overpass	10–13	-0.02	15%	6 Jul →
anubis	12–16	-0.07	16%	6 Jul →
inferno	13–5	-0.02	14%	5 Jul →
ancient	6–9	-0.00	9%	5 Jul →
nuke	13–11	-0.00	23%	5 Jul →
dust2	13–10	0.00	22%	5 Jul →
anubis	13–11	0.03	14%	5 Jul →
nuke	6–13	-0.03	20%	4 Jul →
nuke	6–13	-0.09	14%	4 Jul →
anubis	3–13	-0.04	19%	4 Jul →
nuke	8–13	-0.04	22%	4 Jul →
inferno	13–4	0.03	35%	4 Jul →
ancient	13–9	-0.11	11%	3 Jul →
nuke	7–13	0.02	24%	3 Jul →
nuke	7–13	-0.08	6%	2 Jul →
overpass	13–9	-0.07	21%	2 Jul →
mirage	16–14	0.01	14%	2 Jul →
ancient	4–13	-0.04	23%	1 Jul →
ancient	11–13	-0.06	3%	1 Jul →
overpass	13–9	0.04	16%	1 Jul →
inferno	13–11	0.01	13%	1 Jul →
anubis	11–13	-0.05	17%	1 Jul →
ancient	12–16	-0.04	9%	1 Jul →
dust2	10–13	0.01	19%	1 Jul →
inferno	13–8	0.02	13%	29 Jun →
dust2	6–13	-0.08	5%	29 Jun →
dust2	13–11	0.02	23%	28 Jun →
ancient	13–9	-0.03	20%	28 Jun →
ancient	10–13	-0.03	12%	28 Jun →
inferno	13–8	0.03	16%	28 Jun →
nuke	13–6	-0.06	17%	28 Jun →
dust2	13–7	-0.00	11%	28 Jun →
anubis	15–15	-0.02	24%	28 Jun →
ancient	9–13	-0.02	10%	27 Jun →
dust2	11–13	0.06	22%	27 Jun →
inferno	7–13	-0.02	14%	27 Jun →
ancient	16–13	0.01	18%	26 Jun →
inferno	13–9	0.02	30%	26 Jun →
dust2	8–13	0.01	13%	26 Jun →
inferno	13–7	0.05	9%	26 Jun →
anubis	13–5	0.05	12%	26 Jun →
nuke	13–7	0.09	13%	26 Jun →