KHyl - fuomI — CS2 Stats

CN76561198150133697[U:1:189867969]Steam profile ↗

664Tracked matches47%Win rate2020Tracked since

CSDB Rating5.1 DevelopingPassive Rifler

Premier CS Rating20,443Pink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#6681 of 15862 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning54

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWWWWLWLLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim6.6

Aggression3.8

Utility5.5

Positioning5.4

Opening Duels0.2

Clutch2.2

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 558ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.6

Positioning5.4

Utility5.5

Mechanics3.9

Opening Duels1.0

Win Impact3.9

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time557ms−37ms

first ⅓ avg 594ms → last ⅓ avg 557ms

Headshot accuracy15.9%−0.4%

first ⅓ avg 16.3% → last ⅓ avg 15.9%

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

0.10Best rating — dust2 8–13

13–2Biggest win — inferno

7Longest win streak

11–7In matches decided by ≤2 rounds

18Overtime games

Map breakdown

nukeBest map · 70% over 20anubisWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	20	14–6	70%	0.00
anubis	C	17	7–10	41%	-0.01
dust2	B	17	8–9	47%	-0.01
inferno	B	13	7–6	54%	0.01
ancient	C	12	5–7	42%	-0.02
mirage	B	11	5–6	45%	-0.00
cache	C	9	4–5	44%	0.01
office	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

564Matches

54%Win rate

1.00Avg K/D

77.0ADR

44%Headshot %

Clutches & streaks

31%1v1 clutch win

27%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	35	46%	0.98	14.1
Dust2	34	74%	1.24	16.9
Nuke	27	85%	1.28	17.7
Anubis	24	58%	0.94	13.6
Ancient	22	45%	1.03	14.7
Cache	15	53%	1.09	16.5
Mirage	12	17%	0.75	12.4
Overpass	3	33%	0.95	15.3

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.

15.6%Headshot accuracy

35.7%Accuracy (enemy spotted)

43.2%Spray accuracy

67.7%Counter-strafing

10.1°Preaim

558msReaction time

23.3%T opening success

38.3%CT opening success

0.54Enemies flashed / flash

8.1%Flash assists

7.28HE damage / grenade

6.24Flashes / 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 23.343% — 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.

41% win rate across 17 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
inferno	13–16	-0.03	3%	27 Aug →
nuke	13–10	-0.02	14%	27 Aug →
inferno	16–13	-0.05	8%	25 Aug →
nuke	25–21	0.02	21%	25 Aug →
nuke	13–10	-0.04	13%	24 Aug →
anubis	1–13	-0.07	6%	24 Aug →
dust2	13–5	0.07	20%	24 Aug →
ancient	10–13	0.02	11%	23 Aug →
anubis	8–13	-0.02	17%	21 Aug →
inferno	5–13	-0.01	21%	21 Aug →
ancient	13–16	-0.05	15%	20 Aug →
dust2	13–11	0.03	29%	19 Aug →
nuke	16–12	-0.02	20%	19 Aug →
ancient	11–13	-0.09	6%	19 Aug →
mirage	7–13	-0.01	14%	19 Aug →
anubis	13–8	0.03	26%	19 Aug →
inferno	10–13	0.01	18%	16 Aug →
cache	6–13	0.00	11%	16 Aug →
nuke	4–13	-0.05	10%	16 Aug →
anubis	7–13	0.00	26%	16 Aug →
mirage	13–10	-0.01	10%	16 Aug →
mirage	16–13	-0.02	18%	14 Aug →
dust2	8–13	-0.02	14%	14 Aug →
anubis	13–7	0.04	24%	14 Aug →
cache	13–11	0.04	17%	14 Aug →
ancient	5–13	-0.03	26%	14 Aug →
inferno	13–2	0.07	13%	14 Aug →
nuke	13–2	0.01	11%	14 Aug →
dust2	1–13	-0.13	16%	14 Aug →
inferno	6–13	0.02	11%	14 Aug →
anubis	10–13	0.01	15%	14 Aug →
mirage	3–13	0.01	25%	13 Aug →
anubis	11–13	-0.06	20%	13 Aug →
cache	13–11	0.01	18%	12 Aug →
dust2	13–5	-0.03	20%	12 Aug →
anubis	13–8	-0.03	7%	12 Aug →
nuke	13–2	0.02	17%	12 Aug →
nuke	16–13	0.02	23%	11 Aug →
cache	13–6	0.07	36%	11 Aug →
nuke	13–11	-0.04	7%	11 Aug →
mirage	6–13	0.01	23%	11 Aug →
office	6–13	-0.07	21%	10 Aug →
ancient	6–13	-0.04	4%	10 Aug →
dust2	11–13	0.02	28%	10 Aug →
dust2	13–7	-0.01	22%	6 Aug →
inferno	19–17	-0.00	15%	6 Aug →
nuke	13–5	0.04	32%	6 Aug →
dust2	6–13	-0.05	8%	4 Aug →
ancient	15–15	-0.04	26%	3 Aug →
nuke	7–2	-0.06	33%	3 Aug →
mirage	6–13	-0.04	21%	1 Aug →
nuke	13–3	0.01	7%	1 Aug →
ancient	13–5	-0.01	40%	1 Aug →
cache	10–13	0.07	21%	1 Aug →
ancient	13–5	0.03	25%	1 Aug →
anubis	16–13	0.02	18%	1 Aug →
inferno	13–9	0.02	12%	1 Aug →
dust2	16–12	0.03	18%	31 Jul →
mirage	9–13	0.03	15%	31 Jul →
dust2	7–13	-0.02	38%	31 Jul →
anubis	4–13	0.02	13%	31 Jul →
inferno	13–10	0.07	17%	31 Jul →
dust2	13–8	-0.08	26%	31 Jul →
ancient	16–12	0.01	16%	31 Jul →
nuke	10–13	0.07	20%	31 Jul →
anubis	13–8	-0.02	11%	31 Jul →
anubis	14–16	-0.02	11%	30 Jul →
nuke	13–5	0.06	19%	30 Jul →
inferno	11–13	0.01	24%	30 Jul →
anubis	8–13	-0.05	17%	30 Jul →
inferno	11–13	-0.03	18%	30 Jul →
nuke	13–16	-0.05	10%	30 Jul →
dust2	3–13	0.01	26%	30 Jul →
ancient	13–9	-0.01	10%	30 Jul →
inferno	9–2	0.05	46%	30 Jul →
nuke	8–13	-0.04	14%	28 Jul →
mirage	13–8	0.08	25%	28 Jul →
ancient	11–13	0.02	13%	28 Jul →
anubis	16–14	0.05	17%	28 Jul →
dust2	15–15	0.02	14%	28 Jul →
cache	13–11	0.01	14%	28 Jul →
anubis	7–13	-0.06	11%	28 Jul →
dust2	8–13	0.10	20%	28 Jul →
dust2	16–13	-0.02	15%	27 Jul →
mirage	13–11	0.03	15%	27 Jul →
ancient	13–11	-0.02	8%	27 Jul →
cache	9–13	-0.01	24%	27 Jul →
nuke	13–6	0.07	22%	27 Jul →
dust2	7–13	0.00	0%	23 Jul →
anubis	15–15	0.00	10%	23 Jul →
nuke	13–11	-0.00	20%	23 Jul →
inferno	13–9	-0.04	9%	15 Jul →
cache	8–13	-0.03	16%	15 Jul →
mirage	13–4	-0.04	18%	15 Jul →
nuke	8–13	-0.08	13%	14 Jul →
cache	7–13	-0.07	11%	14 Jul →
dust2	13–10	-0.02	15%	14 Jul →
nuke	12–12	0.06	13%	13 Jul →
mirage	6–13	-0.05	22%	13 Jul →
anubis	13–11	0.01	9%	13 Jul →