ПЦƬ MЦSƬ — CS2 Stats

76561198213685811[U:1:253420083]Steam profile ↗✓ No bans

1,728Tracked matches50%Win rate2020Tracked since

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating17,348Purple band · top ~19.1% of ranked players (population est.)

CSDB Leaderboard#10830 of 19277 tracked

FaceitLevel 6 · 942 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning45

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWWWLLWLTL

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

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

Aim6.9

Aggression3.1

Utility6.3

Positioning4.5

Opening Duels1.0

Clutch2.4

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 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 47% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.9

Positioning4.5

Utility6.3

Mechanics7.3

Opening Duels2.2

Win Impact5.0

Composite 5.7/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time621ms−20ms

first ⅓ avg 641ms → last ⅓ avg 621ms

Headshot accuracy16.0%+2.3%

first ⅓ avg 13.6% → last ⅓ avg 16.0%

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

0.15Best rating — mirage 13–8

13–2Biggest win — nuke

5Longest win streak

W4Current streak

6–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	13–9	59%	0.02
dust2	B	17	8–9	47%	0.00
nuke	A	15	9–6	60%	0.02
cache	A	15	9–6	60%	0.00
inferno	D	11	3–8	27%	-0.00
anubis	B	11	5–6	45%	-0.01
ancient	C	8	3–5	38%	0.03
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

68Matches

50%Win rate

1.04Avg K/D

80.7ADR

41%Headshot %

Clutches & streaks

32%1v1 clutch win

30%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	62%	1.16	16.1
Anubis	9	56%	1.29	12.8
Ancient	8	75%	0.93	18.1
Inferno	5	40%	0.96	14.0
Nuke	5	40%	1.21	19.8
Overpass	3	33%	0.71	12.0
Cache	3	33%	1.10	18.3
Dust2	2	0%	0.86	17.5

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

39.5%Accuracy (enemy spotted)

42.7%Spray accuracy

82.7%Counter-strafing

12.9°Preaim

616msReaction time

20.4%T opening success

47.2%CT opening success

0.64Enemies flashed / flash

6.0%Flash assists

7.78HE damage / grenade

12.71Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8597° — above the 12° mark we flag
Aim Training →

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

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