Kvngx — CS2 Stats

76561199090477665[U:1:1130211937]Steam profile ↗✓ No bans

1,215Tracked matches37%Win rate2023Tracked since

CSDB Rating4.5 Developing

Premier CS Rating11,035Blue band · top ~49.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning51

Utility36

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLWLLWTLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim5.4

Aggression7.5

Utility3.6

Positioning5.1

Opening Duels3.5

Clutch3.0

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 ropz 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 673ms 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

Aim5.4

Positioning5.1

Utility3.6

Mechanics7.9

Opening Duels3.5

Win Impact0.7

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time669ms+8ms

first ⅓ avg 661ms → last ⅓ avg 669ms

Headshot accuracy12.4%+2.8%

first ⅓ avg 9.6% → last ⅓ avg 12.4%

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

0.13Best rating — cache 13–6

13–1Biggest win — nuke

5Longest win streak

L2Current streak

10–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 45% over 20anubisWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	23	10–13	43%	-0.03
nuke	B	20	9–11	45%	-0.01
ancient	D	18	5–13	28%	-0.00
anubis	D	12	3–9	25%	-0.01
mirage	B	11	5–6	45%	-0.02
dust2	D	6	2–4	33%	-0.02
overpass	C	5	2–3	40%	0.01
cache	—	4	3–1	75%	-0.00
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches

42%Win rate

0.82Avg K/D

71.1ADR

34%Headshot %

Clutches & streaks

35%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	67%	0.81	14.6
Ancient	8	50%	0.93	14.1
Inferno	7	43%	0.74	11.6
Nuke	5	20%	0.94	16.6
Dust2	4	25%	0.67	11.0
Anubis	3	0%	0.77	13.0

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.

12.7%Headshot accuracy

37.9%Accuracy (enemy spotted)

36.3%Spray accuracy

85.8%Counter-strafing

13.0°Preaim

673msReaction time

40.2%T opening success

47.8%CT opening success

0.62Enemies flashed / flash

0.0%Flash assists

11.25HE damage / grenade

0.94Flashes / 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 12.9805° — above the 12° mark we flag
Aim Training →
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 12.7368% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 0.9436 — below the 4 mark we flag
Grenade Lineups →

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.

25% win rate across 12 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	11–13	-0.01	16%	1 Aug →
inferno	2–13	-0.10	6%	1 Aug →
ancient	13–5	0.04	14%	1 Aug →
anubis	7–13	-0.02	10%	30 Jul →
nuke	11–13	-0.05	11%	29 Jul →
inferno	13–8	-0.05	11%	29 Jul →
inferno	15–15	-0.02	11%	29 Jul →
inferno	9–13	-0.05	11%	28 Jul →
nuke	3–13	-0.03	0%	26 Jul →
anubis	12–16	-0.05	12%	26 Jul →
nuke	13–10	-0.06	8%	26 Jul →
mirage	6–13	-0.12	16%	25 Jul →
ancient	15–15	-0.00	11%	25 Jul →
mirage	14–16	-0.04	7%	25 Jul →
cache	4–13	-0.11	19%	23 Jul →
mirage	13–7	0.03	22%	23 Jul →
ancient	7–13	-0.03	7%	23 Jul →
ancient	15–15	-0.04	10%	22 Jul →
cache	13–11	-0.05	16%	22 Jul →
anubis	13–6	-0.05	7%	21 Jul →
anubis	5–13	-0.05	23%	20 Jul →
mirage	7–13	0.05	7%	20 Jul →
anubis	13–9	-0.01	18%	20 Jul →
nuke	7–13	0.04	18%	20 Jul →
inferno	13–8	-0.05	12%	20 Jul →
dust2	13–7	0.03	23%	20 Jul →
inferno	5–13	-0.05	9%	20 Jul →
dust2	7–13	-0.05	8%	20 Jul →
nuke	10–13	-0.02	17%	20 Jul →
cache	13–11	0.01	23%	19 Jul →
inferno	8–13	-0.00	9%	19 Jul →
nuke	9–13	-0.05	3%	19 Jul →
nuke	16–14	0.03	17%	19 Jul →
mirage	0–13	-0.04	0%	19 Jul →
ancient	13–3	-0.02	14%	19 Jul →
cache	13–6	0.13	14%	19 Jul →
nuke	13–11	0.01	12%	19 Jul →
nuke	13–1	0.05	15%	19 Jul →
anubis	13–8	-0.01	11%	10 Jul →
dust2	7–13	-0.08	11%	9 Jul →
vertigo	13–9	0.02	8%	6 Jul →
ancient	11–13	-0.03	9%	6 Jul →
ancient	15–15	0.02	15%	3 Jul →
inferno	2–13	-0.09	25%	3 Jul →
nuke	11–13	-0.01	6%	25 Jun →
inferno	16–14	-0.01	9%	25 Jun →
ancient	13–9	0.06	12%	25 Jun →
nuke	10–13	-0.03	17%	25 Jun →
dust2	9–13	-0.02	14%	2 Jun →
mirage	13–8	0.01	12%	2 Jun →
nuke	4–13	0.04	18%	30 May →
nuke	7–13	-0.04	15%	30 May →
ancient	15–15	0.03	11%	30 May →
overpass	7–13	-0.00	18%	30 May →
ancient	13–11	0.02	19%	30 May →
anubis	12–16	0.07	11%	30 May →
overpass	2–13	-0.04	6%	16 May →
nuke	16–12	0.04	5%	13 May →
ancient	13–11	-0.00	11%	12 May →
ancient	0–13	-0.07	10%	10 May →
anubis	9–13	-0.08	8%	10 May →
nuke	11–13	-0.01	9%	10 May →
inferno	13–10	0.02	5%	10 May →
inferno	13–7	0.05	8%	10 May →
inferno	6–13	-0.08	16%	8 May →
ancient	10–13	0.04	11%	4 May →
mirage	16–14	-0.03	9%	4 May →
nuke	5–13	-0.01	5%	2 May →
dust2	9–13	-0.04	11%	2 May →
mirage	13–7	0.02	20%	2 May →
inferno	13–8	0.01	16%	2 May →
anubis	5–13	0.05	12%	2 May →
inferno	10–13	-0.08	5%	26 Apr →
ancient	5–13	-0.03	9%	26 Apr →
inferno	10–13	-0.06	17%	26 Apr →
ancient	11–13	-0.00	4%	24 Apr →
anubis	8–13	0.03	7%	24 Apr →
nuke	16–14	0.02	7%	22 Apr →
inferno	13–7	-0.00	3%	22 Apr →
ancient	10–13	0.04	8%	22 Apr →
mirage	13–8	-0.04	13%	20 Apr →
inferno	11–13	-0.03	16%	20 Apr →
ancient	11–13	-0.02	10%	19 Apr →
inferno	9–13	-0.00	7%	19 Apr →
mirage	11–13	-0.04	8%	19 Apr →
anubis	6–13	-0.03	8%	19 Apr →
nuke	13–10	-0.04	12%	19 Apr →
mirage	8–13	-0.05	20%	19 Apr →
anubis	8–13	0.00	17%	19 Apr →
overpass	13–8	0.02	8%	18 Apr →
nuke	16–12	-0.02	2%	16 Apr →
inferno	13–5	0.08	8%	14 Apr →
overpass	13–7	0.05	3%	14 Apr →
overpass	9–13	0.03	13%	13 Apr →
ancient	7–13	-0.01	5%	13 Apr →
inferno	1–13	-0.06	7%	13 Apr →
inferno	13–3	0.01	3%	13 Apr →
dust2	13–7	0.03	12%	13 Apr →
inferno	13–7	-0.04	11%	12 Apr →
nuke	13–11	0.02	8%	12 Apr →