Да — CS2 Stats

76561198132224934[U:1:171959206]Steam profile ↗✓ No bans

822Tracked matches54%Win rate2024Tracked since

CSDB Rating4.1 Developing

Premier CS Rating7,504Light Blue band · top ~66.8% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim35

Positioning38

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWWLLLWWWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.5

Aggression3.8

Utility6.5

Positioning3.8

Opening Duels0.9

Clutch0.0

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 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

T-side openings. Opening success drops from 48% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 729ms 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

Aim3.5

Positioning3.8

Utility6.5

Mechanics6.0

Opening Duels2.3

Win Impact6.2

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time728ms+43ms

first ⅓ avg 685ms → last ⅓ avg 728ms

Headshot accuracy16.1%+0.8%

first ⅓ avg 15.3% → last ⅓ avg 16.1%

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

0.16Best rating — ancient 13–5

13–1Biggest win — office

6Longest win streak

5–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 64% over 11anubisWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	59	33–26	56%	0.01
ancient	A	11	7–4	64%	-0.00
anubis	D	8	1–7	13%	-0.02
inferno	B	8	4–4	50%	0.00
nuke	—	3	1–2	33%	-0.06
cache	—	3	1–2	33%	-0.02
train	—	2	1–1	50%	-0.00
vertigo	—	2	2–0	100%	-0.01
mirage	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	0.07
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches

64%Win rate

1.02Avg K/D

84.9ADR

39%Headshot %

Clutches & streaks

0%1v1 clutch win

17%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	100%	1.01	15.0
Dust2	3	67%	1.45	16.7
Ancient	2	50%	1.04	11.0
Anubis	2	50%	0.70	13.0
Mirage	1	0%	0.40	6.0

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.

16.4%Headshot accuracy

28.9%Accuracy (enemy spotted)

32.6%Spray accuracy

76.8%Counter-strafing

11.0°Preaim

729msReaction time

19.1%T opening success

48.2%CT opening success

0.66Enemies flashed / flash

4.3%Flash assists

8.80HE damage / grenade

16.05Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 728.7504ms — above the 700ms 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 19.0742% — 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.

13% win rate across 8 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	7–13	-0.03	9%	1 Aug →
dust2	13–9	-0.03	18%	1 Aug →
dust2	13–3	0.02	12%	31 Jul →
dust2	7–13	0.03	14%	31 Jul →
ancient	2–13	-0.10	7%	30 Jul →
dust2	8–13	0.08	23%	30 Jul →
dust2	13–3	0.05	11%	29 Jul →
dust2	13–7	-0.02	20%	29 Jul →
dust2	13–10	0.02	15%	29 Jul →
ancient	13–8	0.03	10%	29 Jul →
dust2	6–13	-0.07	22%	29 Jul →
dust2	3–13	-0.04	31%	28 Jul →
dust2	11–4	0.06	19%	28 Jul →
dust2	13–2	-0.07	25%	28 Jul →
dust2	13–6	0.03	14%	27 Jul →
dust2	13–11	0.00	13%	27 Jul →
dust2	9–13	-0.03	22%	27 Jul →
dust2	13–11	0.04	17%	27 Jul →
dust2	13–9	-0.03	14%	26 Jul →
dust2	12–12	-0.01	10%	26 Jul →
anubis	9–13	-0.00	9%	26 Jul →
inferno	8–13	-0.03	14%	25 Jul →
dust2	13–6	0.01	21%	25 Jul →
dust2	9–13	0.00	35%	25 Jul →
train	5–13	-0.02	18%	24 Jul →
dust2	12–12	0.00	17%	24 Jul →
anubis	7–13	-0.06	12%	24 Jul →
dust2	13–10	0.03	17%	24 Jul →
dust2	13–6	0.02	17%	24 Jul →
ancient	10–13	-0.05	8%	24 Jul →
ancient	13–8	-0.04	15%	24 Jul →
anubis	4–13	-0.05	12%	23 Jul →
ancient	13–5	0.16	9%	23 Jul →
dust2	6–13	0.01	18%	23 Jul →
vertigo	13–9	-0.03	13%	23 Jul →
ancient	12–12	-0.02	14%	23 Jul →
dust2	13–9	0.08	14%	23 Jul →
ancient	13–4	0.05	11%	23 Jul →
dust2	9–13	-0.04	13%	23 Jul →
inferno	13–8	-0.04	16%	22 Jul →
anubis	9–13	0.01	18%	22 Jul →
dust2	13–5	0.02	7%	22 Jul →
office	13–1	0.07	16%	22 Jul →
train	13–10	0.01	18%	22 Jul →
overpass	9–13	-0.04	17%	22 Jul →
vertigo	13–9	0.02	18%	22 Jul →
inferno	5–13	-0.03	17%	22 Jul →
nuke	5–13	-0.10	4%	21 Jul →
dust2	13–4	0.03	16%	21 Jul →
inferno	8–13	-0.04	15%	21 Jul →
inferno	11–13	-0.01	13%	21 Jul →
cache	13–7	0.02	16%	21 Jul →
dust2	13–11	-0.02	14%	21 Jul →
inferno	13–5	0.05	18%	21 Jul →
mirage	13–3	-0.00	25%	21 Jul →
dust2	6–13	-0.10	13%	20 Jul →
ancient	13–4	0.03	18%	20 Jul →
inferno	13–3	0.09	31%	20 Jul →
cache	4–13	-0.05	15%	20 Jul →
dust2	3–13	-0.07	13%	20 Jul →
dust2	7–13	-0.05	25%	20 Jul →
dust2	3–13	-0.05	12%	19 Jul →
mirage	11–13	-0.01	9%	19 Jul →
dust2	12–12	-0.01	20%	19 Jul →
dust2	13–8	0.05	15%	19 Jul →
dust2	13–9	0.09	15%	19 Jul →
dust2	12–5	0.01	24%	19 Jul →
nuke	2–13	-0.08	8%	19 Jul →
dust2	13–7	0.04	20%	19 Jul →
dust2	13–9	0.11	14%	19 Jul →
dust2	13–2	0.05	13%	19 Jul →
dust2	13–9	-0.01	13%	19 Jul →
dust2	13–9	0.01	7%	18 Jul →
dust2	13–5	0.06	29%	18 Jul →
anubis	12–12	0.01	8%	18 Jul →
dust2	6–13	0.04	19%	18 Jul →
cache	12–12	-0.04	13%	18 Jul →
nuke	13–2	0.00	8%	18 Jul →
dust2	11–13	0.03	12%	18 Jul →
dust2	8–13	-0.07	11%	18 Jul →
dust2	6–13	0.05	10%	18 Jul →
anubis	13–7	-0.00	16%	18 Jul →
anubis	8–13	-0.02	12%	18 Jul →
ancient	13–8	-0.01	18%	17 Jul →
dust2	13–6	0.03	20%	17 Jul →
dust2	13–9	0.00	20%	17 Jul →
anubis	9–13	-0.00	8%	17 Jul →
ancient	13–11	0.02	16%	17 Jul →
ancient	4–13	-0.09	6%	17 Jul →
inferno	13–9	0.00	15%	17 Jul →
dust2	13–11	0.05	19%	17 Jul →
dust2	13–1	0.11	8%	17 Jul →
dust2	3–13	-0.02	28%	17 Jul →
dust2	10–13	0.06	24%	15 Jul →
dust2	11–13	-0.04	25%	14 Jul →
dust2	6–13	-0.00	15%	12 Jul →
dust2	13–9	-0.01	16%	12 Jul →
dust2	11–13	0.02	22%	12 Jul →
dust2	10–13	-0.04	15%	12 Jul →
dust2	13–9	-0.01	18%	12 Jul →