evil sonic — CS2 Stats

US76561198198308331[U:1:238042603]Steam profile ↗✓ No bans

509Tracked matches55%Win rate2020Tracked since

1,224Hours in CS

CSDB Rating5.3 Developing

Premier CS Rating14,876Blue band · top ~29.1% of ranked players (population est.)

CSDB Leaderboard#29120 of 47314 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	44.8%	41.4%	44.2%	meets
Shot accuracy	11.9%	9.0%	11.6%	above
Kill/death ratio	0.89	0.97	1.03	0.13 short
Match win rate	37.1%	43.7%	45.2%	8.1% short

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

Widest gap: Match win rate. That is the metric furthest from the Purple 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

Aim55

Positioning58

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLWWWWTLWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.5

Aggression7.9

Utility5.5

Positioning5.8

Opening Duels3.2

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 b1t 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 582ms 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

Aim5.5

Positioning5.8

Utility5.5

Mechanics6.4

Opening Duels3.2

Win Impact6.7

Composite 5.3/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time564ms−61ms

first ⅓ avg 625ms → last ⅓ avg 564ms

Headshot accuracy14.6%−0.1%

first ⅓ avg 14.7% → last ⅓ avg 14.6%

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

0.19Best rating — mirage 13–0

13–0Biggest win — anubis

8Longest win streak

11–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 75% over 16ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	14–18	44%	0.02
inferno	S	16	12–4	75%	0.03
dust2	B	16	8–8	50%	0.02
nuke	A	15	9–6	60%	0.03
cache	C	9	4–5	44%	0.02
ancient	D	5	1–4	20%	0.02
anubis	—	4	4–0	100%	0.06
overpass	—	3	1–2	33%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,879Lifetime kills

0.89K/D

3,424Matches

37.1%Match win rate

44.8%Headshot % · Top 50% of Blue band

11.9%Shot accuracy · Top 50% of Blue band

5,894MVPs

1,224Hours (in match)

2,041Bombs planted

692Bombs defused

Most-used weapons

AK-4727,147

M4A4 / M4A1-S10,233

AWP7,643

Desert Eagle2,918

P2000 / USP-S2,696

P2502,010

Glock-181,575

P90979

Knife708

MAC-10537

Lifetime map wins

6,072dust2

3,503inferno

1,999nuke

732vertigo

353cbble

105train

63office

22safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy

32.1%Accuracy (enemy spotted)

35.1%Spray accuracy

78.6%Counter-strafing

11.2°Preaim

582msReaction time

40.8%T opening success

44.8%CT opening success

0.41Enemies flashed / flash

8.4%Flash assists

14.03HE damage / grenade

10.47Flashes / 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 14.4042% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4073 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 5 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
inferno	9–13	-0.02	11%	18 Jul →
inferno	13–4	0.14	12%	18 Jul →
inferno	13–6	0.04	14%	18 Jul →
cache	13–5	0.08	17%	18 Jul →
dust2	13–6	-0.04	19%	17 Jul →
mirage	15–15	0.02	12%	17 Jul →
mirage	6–13	-0.04	13%	14 Jul →
mirage	13–6	0.02	32%	14 Jul →
dust2	5–13	-0.05	11%	14 Jul →
cache	6–13	0.01	18%	14 Jul →
dust2	5–13	0.00	19%	12 Jul →
mirage	13–5	0.13	16%	12 Jul →
mirage	13–9	0.10	16%	12 Jul →
inferno	8–13	-0.02	18%	12 Jul →
dust2	13–9	-0.02	11%	12 Jul →
mirage	13–8	0.03	17%	12 Jul →
cache	16–14	-0.01	7%	12 Jul →
ancient	8–13	0.01	8%	11 Jul →
mirage	13–2	0.03	20%	11 Jul →
inferno	13–3	-0.00	16%	11 Jul →
nuke	11–13	0.01	8%	11 Jul →
anubis	13–7	0.04	18%	11 Jul →
mirage	5–13	-0.01	20%	11 Jul →
cache	8–13	0.01	12%	11 Jul →
nuke	8–13	-0.05	10%	11 Jul →
cache	13–16	0.00	10%	11 Jul →
mirage	0–2	-0.10	0%	11 Jul →
mirage	16–14	0.02	20%	11 Jul →
nuke	13–11	0.02	11%	11 Jul →
mirage	13–11	0.14	14%	11 Jul →
inferno	13–10	0.09	19%	11 Jul →
anubis	13–0	0.05	17%	11 Jul →
inferno	16–12	0.01	15%	11 Jul →
mirage	4–13	-0.05	14%	11 Jul →
mirage	13–10	0.06	17%	11 Jul →
mirage	11–13	0.02	13%	10 Jul →
dust2	14–16	0.03	26%	10 Jul →
mirage	11–13	-0.03	16%	10 Jul →
nuke	13–4	-0.01	12%	10 Jul →
cache	13–10	0.13	20%	10 Jul →
mirage	3–13	-0.09	17%	10 Jul →
cache	13–4	0.04	29%	10 Jul →
nuke	13–4	0.15	21%	10 Jul →
dust2	8–13	-0.01	13%	10 Jul →
nuke	5–13	-0.01	25%	10 Jul →
inferno	13–11	-0.04	13%	10 Jul →
mirage	15–15	0.05	12%	9 Jul →
dust2	13–8	0.05	18%	9 Jul →
cache	10–13	-0.08	10%	9 Jul →
ancient	7–13	-0.01	16%	4 Jul →
inferno	8–13	-0.02	22%	4 Jul →
dust2	13–11	0.02	18%	4 Jul →
dust2	0–2	0.00	0%	4 Jul →
mirage	13–8	-0.00	30%	3 Jul →
inferno	13–10	-0.01	20%	3 Jul →
inferno	13–11	0.00	28%	2 Jul →
inferno	13–9	0.03	17%	2 Jul →
cache	11–13	0.01	18%	28 Jun →
nuke	13–5	0.12	19%	28 Jun →
dust2	13–4	0.03	17%	28 Jun →
overpass	15–15	0.05	21%	28 Jun →
mirage	15–15	0.03	18%	26 Jun →
overpass	15–15	0.04	11%	23 Jun →
overpass	13–9	0.01	23%	21 Jun →
mirage	13–4	-0.01	12%	17 Jun →
mirage	8–13	-0.00	8%	12 Jun →
mirage	11–13	-0.02	14%	3 Jun →
mirage	9–13	0.01	13%	30 May →
nuke	13–10	-0.01	18%	30 May →
dust2	7–13	0.10	25%	30 May →
mirage	10–13	0.01	17%	29 May →
nuke	10–13	0.03	13%	29 May →
ancient	9–13	0.04	15%	29 May →
inferno	5–13	-0.03	13%	28 May →
nuke	13–10	0.02	9%	28 May →
mirage	11–13	0.02	5%	27 May →
mirage	15–15	0.02	7%	27 May →
nuke	7–13	0.04	15%	27 May →
inferno	13–4	0.05	19%	25 May →
ancient	13–8	0.07	15%	25 May →
anubis	13–6	0.04	19%	25 May →
dust2	5–13	-0.02	15%	25 May →
mirage	10–13	0.01	25%	25 May →
inferno	13–5	0.08	13%	25 May →
ancient	6–13	0.01	23%	25 May →
nuke	13–11	0.05	10%	25 May →
dust2	13–11	0.01	13%	25 May →
dust2	13–5	0.07	18%	24 May →
nuke	4–13	-0.01	21%	24 May →
mirage	13–8	0.03	12%	24 May →
mirage	13–16	0.07	9%	24 May →
nuke	13–10	0.01	15%	23 May →
mirage	13–11	0.05	19%	23 May →
anubis	13–1	0.11	9%	23 May →
mirage	13–0	0.19	9%	23 May →
dust2	16–12	-0.00	13%	23 May →
mirage	13–8	0.05	14%	22 May →
inferno	13–11	0.14	19%	22 May →
nuke	13–6	0.11	10%	22 May →
dust2	13–16	0.08	14%	19 May →