kh ✪ — CS2 Stats

76561198139230621[U:1:178964893]Steam profile ↗VAC banned

2,111Tracked matches45%Win rate2022Tracked since

CSDB Rating4.7 DevelopingPassive Rifler

FaceitLevel 4 · 2,192 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning41

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLLWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

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

Aim6.5

Aggression3.6

Utility4.1

Positioning4.1

Opening Duels0.4

Clutch2.6

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 80% playstyle similarity

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

Where you differ: lower utility contribution; 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. 591ms 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

Aim6.5

Positioning4.1

Utility4.1

Mechanics6.0

Opening Duels1.0

Win Impact3.3

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-0.01−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time595ms−30ms

first ⅓ avg 624ms → last ⅓ avg 595ms

Headshot accuracy11.2%−16.9%

first ⅓ avg 28.1% → last ⅓ avg 11.2%

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

0.17Best rating — mirage 6–0

13–0Biggest win — ancient

5Longest win streak

W2Current streak

11–12In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 56% over 25nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	10–16	38%	-0.02
dust2	A	25	14–11	56%	0.01
mirage	B	18	9–9	50%	0.01
ancient	C	14	6–8	43%	0.02
nuke	D	9	3–6	33%	-0.03
anubis	—	4	1–3	25%	0.01
overpass	—	2	1–1	50%	0.01
train	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,561Matches

50%Win rate

1.04Avg K/D

79.0ADR

51%Headshot %

Clutches & streaks

33%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	387	51%	1.08	15.8
Dust2	251	49%	1.05	15.6
Ancient	235	48%	1.00	15.9
Anubis	229	51%	1.03	15.8
Inferno	140	45%	0.98	15.2
Vertigo	86	45%	0.97	14.9
Nuke	62	39%	0.90	13.5
Overpass	16	44%	0.85	13.6

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.

11.3%Headshot accuracy

38.8%Accuracy (enemy spotted)

39.5%Spray accuracy

76.9%Counter-strafing

10.4°Preaim

591msReaction time

25.5%T opening success

37.7%CT opening success

0.45Enemies flashed / flash

2.9%Flash assists

10.13HE damage / grenade

8.15Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.2751% — below the 15% mark we flag
Aim Training →
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 0.4466 — 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 25.4836% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.03	11%	5 Jul →
dust2	13–5	0.10	13%	5 Jul →
mirage	6–13	0.00	9%	5 Jul →
mirage	5–13	-0.04	24%	5 Jul →
inferno	13–6	0.04	11%	1 Jul →
anubis	13–7	0.02	5%	1 Jul →
anubis	8–13	0.01	16%	30 Jun →
mirage	16–14	0.00	15%	29 Jun →
mirage	15–19	-0.03	9%	29 Jun →
nuke	11–13	-0.05	5%	29 Jun →
nuke	13–11	-0.06	11%	27 Jun →
nuke	9–13	-0.06	16%	24 Jun →
nuke	12–16	-0.06	9%	24 Jun →
inferno	5–13	-0.07	12%	24 Jun →
nuke	13–5	0.03	13%	23 Jun →
inferno	8–13	-0.03	6%	23 Jun →
inferno	7–13	-0.04	5%	21 Jun →
mirage	15–15	-0.02	8%	19 Jun →
dust2	11–13	-0.05	9%	18 Jun →
dust2	16–13	-0.04	5%	18 Jun →
inferno	0–7	0.01	4%	18 Jun →
ancient	5–13	-0.05	13%	18 Jun →
dust2	7–13	-0.07	20%	15 Jun →
mirage	13–9	-0.04	14%	14 Jun →
dust2	13–7	-0.02	16%	14 Jun →
ancient	13–11	0.08	26%	14 Jun →
mirage	13–6	-0.01	10%	12 Jun →
nuke	3–13	-0.07	11%	11 Jun →
inferno	8–8	0.09	9%	10 Jun →
inferno	9–6	0.02	12%	8 Jun →
nuke	8–13	-0.01	8%	6 Jun →
dust2	16–14	-0.01	6%	5 Jun →
nuke	14–16	-0.02	7%	4 Jun →
anubis	11–13	0.07	22%	4 Jun →
anubis	5–13	-0.07	9%	3 Jun →
ancient	7–13	-0.07	17%	30 May →
inferno	8–8	-0.06	12%	23 May →
mirage	6–13	-0.06	14%	21 May →
ancient	13–9	-0.05	11%	18 Feb →
inferno	9–6	-0.03	22%	11 Feb →
inferno	6–9	-0.01	14%	11 Feb →
inferno	9–3	-0.02	25%	11 Feb →
inferno	5–9	-0.05	21%	11 Feb →
inferno	1–9	-0.20	4%	10 Feb →
inferno	1–9	-0.08	24%	10 Feb →
inferno	7–9	-0.17	38%	10 Feb →
inferno	1–9	-0.20	5%	10 Feb →
inferno	9–5	0.03	13%	6 Feb →
dust2	4–13	0.01	13%	5 Feb →
dust2	13–5	0.06	16%	5 Feb →
mirage	16–14	0.07	14%	5 Feb →
inferno	11–13	0.02	18%	4 Feb →
overpass	16–13	0.04	21%	3 Feb →
dust2	10–8	0.02	30%	3 Feb →
inferno	5–9	-0.06	13%	24 Jan →
mirage	7–13	-0.05	25%	24 Jan →
ancient	13–16	-0.03	24%	22 Jan →
ancient	13–8	0.02	13%	20 Jan →
ancient	11–13	0.00	21%	18 Jan →
inferno	13–11	-0.03	25%	18 Jan →
mirage	13–11	0.04	19%	18 Jan →
dust2	11–13	0.02	20%	17 Jan →
inferno	4–13	0.00	25%	17 Jan →
ancient	11–13	0.06	19%	17 Jan →
dust2	5–13	-0.03	14%	17 Jan →
mirage	7–13	0.01	40%	11 Jan →
dust2	13–11	0.01	16%	11 Jan →
dust2	13–5	-0.01	37%	2 Jan →
inferno	13–2	0.06	19%	2 Jan →
dust2	13–8	-0.02	24%	2 Jan →
ancient	13–16	0.04	14%	1 Jan →
mirage	4–13	-0.06	38%	30 Dec →
dust2	13–11	0.06	32%	7 Dec →
mirage	13–7	0.05	28%	21 Nov →
mirage	0–13	-0.02	0%	21 Nov →
dust2	13–3	-0.05	32%	21 Nov →
ancient	13–4	0.02	21%	17 Nov →
nuke	13–7	0.08	37%	10 Nov →
mirage	13–10	0.07	38%	9 Nov →
dust2	8–13	-0.08	43%	9 Nov →
dust2	14–16	0.07	31%	8 Nov →
mirage	13–9	0.01	21%	8 Nov →
ancient	13–0	0.12	27%	1 Oct →
inferno	9–13	0.03	33%	1 Oct →
mirage	6–0	0.17	40%	1 Oct →
overpass	5–13	-0.01	24%	30 Sept →
dust2	13–4	0.10	24%	30 Sept →
dust2	11–13	0.06	30%	23 Sept →
train	7–13	0.03	22%	23 Sept →
inferno	13–3	0.05	39%	23 Sept →
dust2	5–13	0.01	23%	22 Sept →
inferno	13–7	0.03	34%	21 Jun →
dust2	16–14	-0.01	28%	20 Jun →
train	13–7	0.04	29%	11 May →
dust2	13–3	0.09	46%	11 May →
ancient	13–7	0.03	23%	31 Mar →
ancient	10–13	0.01	20%	30 Mar →
dust2	12–15	-0.03	21%	29 Mar →
dust2	13–11	-0.02	33%	28 Mar →
ancient	7–13	0.04	18%	27 Mar →