bEhY-- — CS2 Stats

76561198158878415[U:1:198612687]

756Tracked matches33%Win rate2020Tracked since

4,334Hours in CS5Hrs last 2 wks

CSDB Rating4.7 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim73

Positioning36

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWWLLWLWWL

Last 10 vs previous 10: +40pp win rate · -0.00 avg rating

Player DNA

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

Aim7.3

Aggression1.8

Utility5.3

Positioning3.6

Opening Duels0.0

Clutch3.2

Strong CT-side openerEffective flashesLimited 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 NiKo 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 36% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.3

Positioning3.6

Utility5.3

Mechanics6.2

Opening Duels0.8

Win Impact0.0

Composite 4.7/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time606ms+21ms

first ⅓ avg 584ms → last ⅓ avg 606ms

Headshot accuracy17.9%−2.7%

first ⅓ avg 20.5% → last ⅓ avg 17.9%

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 — train 13–1

13–1Biggest win — dust2

9Longest win streak

9–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 58% over 24anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	24	14–10	58%	-0.00
dust2	C	22	8–14	36%	-0.01
inferno	B	17	9–8	53%	-0.01
cache	B	12	6–6	50%	0.01
ancient	B	10	5–5	50%	0.01
anubis	D	6	1–5	17%	-0.02
nuke	—	4	2–2	50%	-0.01
overpass	—	4	1–3	25%	0.01
train	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,678Lifetime kills

0.44K/D

7,667Matches

45.8%Match win rate

42.6%Headshot %

17.5%Shot accuracy · Top 25% of tracked players

14,110MVPs

2,439Hours (in match)

3,247Bombs planted

1,416Bombs defused

Most-used weapons

AK-4731,011

M4A4 / M4A1-S14,297

AWP12,414

P909,453

P2000 / USP-S8,849

Five-SeveN4,009

Glock-183,691

Desert Eagle3,589

Tec-92,605

P2502,302

Lifetime map wins

9,316dust2

6,386inferno

1,528train

842nuke

652cbble

124vertigo

85office

43safehouse

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

Faceit stats

Combat

301Matches

55%Win rate

1.10Avg K/D

77.0ADR

48%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	60%	1.18	15.4
Inferno	55	60%	1.21	16.7
Ancient	54	46%	1.02	15.2
Anubis	46	57%	1.03	15.9
Train	25	64%	1.11	15.1
Dust2	23	57%	0.97	14.0
Cache	12	50%	1.06	16.7
Nuke	5	0%	0.75	12.4

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.

18.0%Headshot accuracy

35.1%Accuracy (enemy spotted)

39.5%Spray accuracy

78.0%Counter-strafing

8.5°Preaim

600msReaction time

18.8%T opening success

36.5%CT opening success

0.81Enemies flashed / flash

13.7%Flash assists

11.18HE damage / grenade

3.11Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1111 — below the 4 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 18.8011% — 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.

17% win rate across 6 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
nuke	4–13	-0.05	9%	15 Aug →
cache	13–11	-0.02	17%	15 Aug →
inferno	13–6	0.05	21%	15 Aug →
anubis	14–16	0.00	20%	15 Aug →
dust2	5–13	-0.06	11%	15 Aug →
mirage	13–6	-0.03	7%	15 Aug →
cache	11–13	-0.00	14%	7 Aug →
mirage	13–10	-0.00	23%	7 Aug →
anubis	13–9	0.02	16%	7 Aug →
cache	10–13	-0.03	22%	7 Aug →
ancient	6–13	-0.00	14%	7 Aug →
inferno	11–13	-0.06	19%	7 Aug →
mirage	3–13	-0.06	25%	20 Jul →
ancient	6–13	0.02	16%	28 May →
cache	11–13	0.02	22%	4 May →
mirage	9–13	0.03	28%	4 May →
ancient	16–14	0.05	15%	3 May →
inferno	3–13	-0.06	14%	3 May →
mirage	9–13	-0.01	16%	27 Apr →
ancient	4–13	0.02	46%	27 Apr →
inferno	13–11	0.11	24%	27 Apr →
dust2	4–13	0.06	6%	27 Apr →
mirage	13–2	0.04	11%	26 Apr →
cache	16–14	0.05	15%	26 Apr →
ancient	9–13	-0.04	20%	26 Apr →
dust2	9–13	-0.00	16%	26 Apr →
mirage	13–11	-0.01	14%	26 Apr →
cache	11–13	0.04	23%	25 Apr →
dust2	11–13	-0.03	13%	25 Apr →
mirage	6–13	-0.07	23%	25 Apr →
anubis	8–13	-0.07	14%	25 Apr →
dust2	13–9	-0.02	15%	25 Apr →
cache	13–7	-0.02	20%	25 Apr →
cache	9–13	0.04	19%	25 Apr →
anubis	10–13	-0.03	8%	24 Apr →
dust2	16–14	-0.05	19%	24 Apr →
mirage	14–16	-0.01	22%	24 Apr →
dust2	13–6	-0.01	18%	24 Apr →
anubis	9–13	-0.01	22%	24 Apr →
cache	7–13	-0.01	20%	24 Apr →
cache	13–6	0.02	12%	24 Apr →
cache	13–3	0.05	22%	24 Apr →
mirage	20–22	-0.04	9%	23 Apr →
mirage	16–13	0.00	13%	23 Apr →
dust2	4–13	-0.03	25%	23 Apr →
anubis	11–13	-0.03	10%	23 Apr →
cache	13–10	0.01	23%	23 Apr →
inferno	1–13	-0.06	19%	23 Apr →
dust2	16–14	-0.03	12%	15 Apr →
inferno	8–13	-0.04	18%	15 Apr →
mirage	13–7	0.01	15%	15 Apr →
inferno	15–15	0.01	13%	14 Apr →
inferno	13–8	-0.06	11%	14 Apr →
ancient	13–9	0.04	12%	13 Apr →
overpass	10–13	-0.00	17%	13 Apr →
inferno	12–2	0.05	32%	13 Apr →
mirage	13–7	0.00	19%	13 Apr →
dust2	5–13	-0.05	19%	13 Apr →
dust2	16–13	-0.00	16%	5 Apr →
dust2	13–6	0.06	23%	5 Apr →
dust2	13–1	0.05	15%	5 Apr →
mirage	13–5	-0.03	15%	5 Apr →
dust2	3–13	-0.07	15%	5 Apr →
mirage	8–13	0.02	8%	2 Apr →
inferno	13–9	-0.03	13%	2 Apr →
ancient	8–13	-0.02	19%	1 Apr →
mirage	13–10	0.02	25%	1 Apr →
inferno	13–9	0.06	10%	1 Apr →
ancient	13–10	-0.03	19%	1 Apr →
mirage	13–2	0.04	24%	29 Mar →
mirage	13–10	0.01	19%	28 Mar →
inferno	13–7	0.01	26%	28 Mar →
dust2	13–7	-0.01	29%	28 Mar →
inferno	13–2	0.00	20%	27 Mar →
mirage	13–6	-0.01	29%	27 Mar →
dust2	11–13	0.04	20%	1 Feb →
ancient	13–4	0.08	30%	1 Feb →
mirage	11–13	0.03	14%	1 Feb →
dust2	4–13	0.01	14%	13 Jan →
overpass	8–13	-0.01	24%	13 Jan →
ancient	16–14	-0.02	19%	13 Jan →
dust2	9–13	-0.00	13%	6 Jan →
mirage	11–13	-0.00	17%	3 Jan →
inferno	13–10	-0.02	20%	3 Jan →
dust2	4–13	-0.04	19%	18 Dec →
overpass	13–11	0.00	17%	15 Dec →
dust2	11–13	-0.03	33%	15 Dec →
nuke	13–8	0.01	14%	3 Dec →
mirage	10–13	-0.05	29%	3 Dec →
dust2	9–13	0.03	24%	26 Nov →
train	13–1	0.16	14%	26 Nov →
nuke	5–13	-0.02	33%	26 Nov →
nuke	13–10	0.00	9%	23 Nov →
inferno	6–13	-0.02	29%	6 Nov →
inferno	12–16	-0.02	22%	30 Oct →
overpass	10–13	0.07	17%	30 Oct →
mirage	13–6	0.02	19%	30 Oct →
inferno	3–8	-0.06	9%	29 Oct →
dust2	3–13	-0.05	21%	29 Oct →
mirage	13–7	0.06	20%	29 Oct →