ム — CS2 Stats

76561198327345295[U:1:367079567]Steam profile ↗✓ No bans

2,162Tracked matches47%Win rate2021Tracked since

CSDB Rating5.3 DevelopingAggressive Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#3602 of 7790 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

19,999Peak Premier on CSDB

1,017Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,017
Next: Level 5 at 1,051 — 34 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-08-28
Level 3 first seen 2026-08-28

Premier CS Rating

At peak — 19,999
Next: Pink band at 20,000 — 1 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim77

Positioning60

Utility16

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWLLLWWWL

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

Player DNA

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

Aim7.7

Aggression8.9

Utility1.6

Positioning6.0

Opening Duels3.7

Clutch6.0

Strong CT-side openerLimited utility dependence

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 jL 84% playstyle similarity

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

Where you differ: lower aim profile; 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 61% on CT to 28% 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

Aim7.7

Positioning6.0

Utility1.6

Mechanics5.2

Opening Duels3.9

Win Impact3.9

Composite 5.3/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time551ms−40ms

first ⅓ avg 590ms → last ⅓ avg 551ms

Headshot accuracy22.6%+1.2%

first ⅓ avg 21.4% → last ⅓ avg 22.6%

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

0.13Best rating — dust2 13–9

13–0Biggest win — nuke

6Longest win streak

6–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 62% over 13anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	35	21–14	60%	0.02
cache	C	22	9–13	41%	0.01
mirage	A	13	8–5	62%	-0.01
inferno	C	11	4–7	36%	-0.01
anubis	D	5	1–4	20%	-0.03
train	C	5	2–3	40%	-0.02
vertigo	—	4	4–0	100%	0.02
dust2	—	3	2–1	67%	0.03
ancient	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

54Matches

65%Win rate

1.30Avg K/D

87.5ADR

43%Headshot %

Clutches & streaks

50%1v1 clutch win

37%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	12	50%	1.39	18.4
Mirage	12	58%	1.10	15.1
Nuke	11	91%	1.68	17.9
Overpass	3	100%	1.30	19.0
Ancient	3	67%	1.01	14.7
Anubis	2	100%	1.55	23.0
Inferno	2	50%	1.06	19.0
Cache	1	100%	1.07	15.0

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.

22.4%Headshot accuracy

36.9%Accuracy (enemy spotted)

39.4%Spray accuracy

73.5%Counter-strafing

10.3°Preaim

546msReaction time

28.5%T opening success

61.0%CT opening success

0.19Enemies flashed / flash

3.4%Flash assists

9.43HE damage / grenade

1.96Flashes / 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.

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 0.193 — below the 0.5 mark we flag
Grenade Lineups →
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 28.4693% — 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 5 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
dust2	3–13	-0.00	22%	27 Aug →
dust2	7–2	-0.04	14%	27 Aug →
cache	13–11	0.01	17%	27 Aug →
ancient	10–13	-0.04	28%	27 Aug →
mirage	6–13	-0.03	30%	27 Aug →
cache	7–13	0.04	23%	26 Aug →
mirage	13–10	0.02	31%	26 Aug →
nuke	13–4	0.11	22%	26 Aug →
inferno	13–9	0.03	24%	26 Aug →
anubis	3–13	-0.04	25%	26 Aug →
cache	13–6	-0.01	3%	26 Aug →
inferno	11–13	-0.04	16%	25 Aug →
cache	13–7	0.04	29%	25 Aug →
mirage	9–13	0.02	24%	25 Aug →
inferno	11–13	0.01	28%	25 Aug →
nuke	13–6	0.06	25%	25 Aug →
mirage	13–11	-0.08	17%	24 Aug →
inferno	11–5	-0.02	17%	24 Aug →
cache	9–13	0.00	25%	23 Aug →
mirage	13–4	-0.01	17%	23 Aug →
inferno	6–13	0.04	27%	23 Aug →
ancient	11–13	-0.02	15%	23 Aug →
cache	11–13	0.05	19%	23 Aug →
inferno	7–13	-0.02	24%	23 Aug →
nuke	4–13	0.03	24%	21 Aug →
cache	9–13	0.07	33%	21 Aug →
inferno	13–5	-0.01	27%	21 Aug →
cache	13–1	0.11	21%	21 Aug →
mirage	13–1	-0.03	16%	21 Aug →
nuke	6–13	0.03	22%	21 Aug →
nuke	13–9	-0.06	30%	21 Aug →
cache	7–13	0.01	26%	19 Aug →
cache	6–13	-0.05	25%	18 Aug →
cache	8–13	-0.03	29%	17 Aug →
nuke	13–8	0.01	29%	17 Aug →
nuke	13–9	-0.02	17%	17 Aug →
mirage	13–9	0.02	24%	16 Aug →
nuke	9–13	-0.04	15%	15 Aug →
nuke	10–13	-0.02	25%	15 Aug →
mirage	6–13	-0.08	38%	15 Aug →
anubis	11–13	-0.08	29%	15 Aug →
inferno	0–10	-0.07	20%	15 Aug →
nuke	12–12	0.02	14%	15 Aug →
cache	13–7	-0.04	9%	15 Aug →
cache	5–13	0.00	31%	14 Aug →
cache	13–10	0.04	18%	14 Aug →
nuke	13–2	0.04	16%	14 Aug →
inferno	15–15	0.06	20%	14 Aug →
train	13–5	0.11	32%	13 Aug →
train	0–5	-0.10	50%	13 Aug →
nuke	13–2	0.08	30%	13 Aug →
cache	13–1	0.02	38%	12 Aug →
mirage	2–7	0.01	22%	12 Aug →
mirage	6–13	-0.03	21%	12 Aug →
train	8–13	-0.01	27%	12 Aug →
nuke	13–0	0.07	30%	12 Aug →
inferno	13–3	-0.05	25%	11 Aug →
nuke	7–13	-0.00	20%	11 Aug →
nuke	13–9	0.02	22%	11 Aug →
vertigo	13–11	-0.02	25%	10 Aug →
nuke	13–7	-0.01	17%	10 Aug →
nuke	13–7	0.01	23%	10 Aug →
nuke	7–13	-0.02	25%	10 Aug →
nuke	9–13	0.00	32%	9 Aug →
nuke	13–4	0.01	18%	9 Aug →
cache	12–12	-0.01	33%	9 Aug →
nuke	11–13	-0.06	18%	9 Aug →
nuke	13–5	0.12	26%	9 Aug →
mirage	13–4	0.01	12%	9 Aug →
cache	13–7	0.04	31%	9 Aug →
nuke	1–13	-0.06	18%	5 Aug →
nuke	3–7	0.07	32%	5 Aug →
nuke	13–4	0.03	33%	4 Aug →
cache	7–13	-0.02	24%	3 Aug →
vertigo	13–7	-0.00	25%	3 Aug →
vertigo	13–11	0.03	27%	2 Aug →
mirage	13–11	-0.03	11%	26 Jul →
nuke	13–8	0.10	27%	26 Jul →
nuke	13–11	-0.05	28%	26 Jul →
anubis	13–10	0.03	15%	26 Jul →
anubis	3–13	-0.05	35%	26 Jul →
train	10–13	-0.03	17%	26 Jul →
cache	10–13	-0.03	38%	26 Jul →
nuke	13–3	-0.02	10%	24 Jul →
nuke	13–9	0.07	15%	24 Jul →
cache	13–4	0.05	12%	24 Jul →
vertigo	13–2	0.05	19%	23 Jul →
mirage	13–5	0.02	33%	23 Jul →
dust2	13–9	0.13	21%	23 Jul →
nuke	11–13	0.05	15%	23 Jul →
inferno	7–13	-0.04	18%	22 Jul →
cache	12–12	0.00	22%	22 Jul →
anubis	8–13	0.01	24%	22 Jul →
cache	0–13	-0.05	4%	21 Jul →
nuke	7–13	-0.03	30%	21 Jul →
nuke	13–4	0.03	24%	21 Jul →
train	13–10	-0.06	14%	21 Jul →
nuke	13–6	0.10	16%	20 Jul →
nuke	10–13	0.01	21%	20 Jul →
nuke	13–7	-0.03	11%	20 Jul →