悲鳴 — CS2 Stats

76561198352709642[U:1:392443914]✓ No bans

322Tracked matches43%Win rate2020Tracked since

895Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim87

Positioning47

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWLLLWLWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression6.4

Utility4.6

Positioning4.7

Opening Duels1.2

Clutch6.0

Sharp aimer

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 88% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7

Positioning4.7

Utility4.6

Mechanics8.2

Opening Duels1.3

Win Impact2.8

Composite 5.9/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time542ms−40ms

first ⅓ avg 582ms → last ⅓ avg 542ms

Headshot accuracy25.3%−0.0%

first ⅓ avg 25.3% → last ⅓ avg 25.3%

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

0.20Best rating — mirage 13–8

13–0Biggest win — inferno

6Longest win streak

9–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 44% over 39

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	39	17–22	44%	0.02
inferno	B	18	9–9	50%	0.03
mirage	B	17	8–9	47%	0.04
nuke	A	12	7–5	58%	0.07
overpass	S	9	6–3	67%	0.04
anubis	—	3	2–1	67%	0.01
cache	—	1	0–1	0%	-0.01
ancient	—	1	0–1	0%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 39). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,611Lifetime kills

1.25K/D · Top 25% of tracked players

1,239Matches

41.3%Match win rate

52.0%Headshot % · Top 25% of tracked players

14.9%Shot accuracy · Top 50% of tracked players

3,077MVPs

895Hours (in match)

707Bombs planted

354Bombs defused

Most-used weapons

AK-4711,259

M4A4 / M4A1-S4,612

AWP3,128

Desert Eagle2,507

P2000 / USP-S1,193

Glock-18913

SSG 08809

SG 553422

AUG327

FAMAS248

Lifetime map wins

3,170dust2

1,484inferno

729nuke

491train

301vertigo

166cbble

50office

15lake

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

Faceit stats

Combat

1Matches

0%Win rate

1.25Avg K/D

82.9ADR

55%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

25.3%Headshot accuracy

32.0%Accuracy (enemy spotted)

29.0%Spray accuracy

86.7%Counter-strafing

5.9°Preaim

530msReaction time

29.1%T opening success

40.7%CT opening success

0.54Enemies flashed / flash

2.6%Flash assists

11.69HE damage / grenade

5.48Flashes / 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 29.0566% — below the 40% mark we flag

Spend your practice time on Dust 2

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

44% win rate across 39 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–1	0.18	26%	28 Aug →
dust2	7–13	0.02	19%	28 Jul →
cache	6–13	-0.01	26%	28 Jul →
ancient	6–13	0.09	30%	25 Jul →
inferno	13–6	-0.00	33%	25 Jul →
mirage	1–13	-0.06	21%	25 Jul →
dust2	13–11	0.01	27%	25 Jul →
mirage	3–13	-0.02	27%	24 Jul →
dust2	16–12	0.02	30%	24 Jul →
dust2	9–13	-0.04	26%	24 Jul →
dust2	13–6	0.04	32%	19 Jul →
nuke	7–13	-0.01	31%	8 Jul →
anubis	13–11	-0.03	16%	3 Jul →
dust2	3–13	0.06	38%	3 Jul →
dust2	4–13	-0.06	11%	27 Jun →
inferno	7–13	0.08	29%	27 Jun →
inferno	13–5	-0.03	15%	27 Jun →
nuke	7–13	0.14	34%	27 Jun →
mirage	5–13	-0.00	13%	26 Jun →
dust2	13–8	0.07	24%	24 Jun →
dust2	14–16	0.01	31%	15 Jun →
mirage	13–9	0.00	41%	15 Jun →
dust2	13–6	0.03	29%	5 Jun →
nuke	7–2	0.15	33%	5 Jun →
dust2	4–13	-0.02	25%	5 Jun →
inferno	5–13	0.01	13%	5 Jun →
overpass	8–13	0.05	31%	30 May →
inferno	13–3	0.14	20%	30 May →
inferno	13–11	0.01	13%	15 May →
overpass	6–13	0.06	13%	24 Apr →
dust2	13–1	0.12	17%	24 Apr →
dust2	4–13	0.02	25%	22 Apr →
nuke	13–7	0.07	35%	22 Apr →
overpass	13–7	0.02	13%	22 Apr →
dust2	13–10	0.00	24%	22 Apr →
dust2	8–13	0.03	21%	3 Apr →
inferno	7–13	-0.05	11%	3 Apr →
mirage	6–13	0.02	19%	3 Apr →
inferno	13–9	0.08	24%	3 Apr →
dust2	13–6	0.04	25%	3 Apr →
nuke	13–11	0.09	21%	10 Mar →
mirage	7–13	0.08	12%	10 Mar →
inferno	13–0	0.10	35%	7 Mar →
dust2	13–16	0.06	22%	7 Mar →
mirage	13–9	0.11	24%	7 Mar →
inferno	9–13	0.05	13%	21 Feb →
mirage	2–0	0.03	33%	21 Feb →
nuke	13–10	0.13	21%	20 Feb →
dust2	4–13	-0.03	19%	20 Feb →
dust2	5–13	0.04	29%	20 Feb →
anubis	13–5	0.10	22%	20 Feb →
dust2	10–13	-0.03	21%	19 Feb →
inferno	7–13	0.01	25%	19 Feb →
mirage	13–8	0.20	24%	19 Feb →
dust2	7–13	0.08	16%	17 Feb →
dust2	13–6	-0.01	26%	17 Feb →
nuke	13–2	0.11	28%	17 Feb →
inferno	10–13	0.01	32%	17 Feb →
mirage	3–13	0.01	24%	14 Feb →
dust2	13–7	0.08	23%	8 Feb →
inferno	13–8	-0.00	22%	8 Feb →
dust2	13–7	-0.02	30%	8 Feb →
dust2	8–13	0.07	24%	8 Feb →
nuke	4–13	0.04	23%	7 Feb →
mirage	9–13	0.04	31%	7 Feb →
mirage	10–13	-0.01	15%	7 Feb →
dust2	13–6	0.16	17%	7 Feb →
nuke	10–13	0.05	21%	7 Feb →
inferno	2–13	0.01	15%	7 Feb →
inferno	6–13	-0.09	30%	7 Feb →
dust2	3–13	-0.03	21%	7 Feb →
overpass	13–6	0.04	26%	7 Feb →
mirage	11–13	0.00	17%	7 Feb →
dust2	13–6	0.11	27%	7 Feb →
mirage	13–11	-0.01	28%	6 Feb →
anubis	5–13	-0.05	24%	6 Feb →
dust2	13–11	0.02	29%	6 Feb →
inferno	11–13	-0.00	22%	5 Feb →
dust2	13–4	-0.01	21%	5 Feb →
nuke	16–14	-0.02	15%	4 Feb →
dust2	3–13	-0.05	8%	4 Feb →
mirage	13–7	0.13	16%	31 Jan →
overpass	13–6	0.09	21%	31 Jan →
dust2	9–13	-0.02	29%	30 Jan →
mirage	13–2	0.05	42%	28 Jan →
dust2	8–13	0.01	34%	24 Jan →
dust2	2–13	-0.04	38%	24 Jan →
overpass	13–6	0.07	22%	24 Jan →
dust2	13–16	0.05	25%	10 Jan →
dust2	15–15	0.03	23%	10 Jan →
dust2	13–7	0.08	38%	9 Jan →
dust2	13–10	-0.02	41%	9 Jan →
nuke	13–3	0.12	31%	9 Jan →
inferno	13–11	0.03	21%	9 Jan →
overpass	13–2	0.10	24%	9 Jan →
mirage	13–7	0.04	35%	3 Jan →
nuke	2–13	0.02	26%	3 Jan →
overpass	2–13	-0.07	19%	2 Jan →
dust2	6–13	0.03	26%	2 Jan →
overpass	16–12	0.03	17%	2 Jan →