KVX — CS2 Stats

CW76561198999860426[U:1:1039594698]Steam profile ↗✓ No bans

1,573Tracked matches53%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating19,654Purple band · top ~9.9% of ranked players (population est.)

CSDB Leaderboard#7791 of 16571 tracked

FaceitLevel 8 · 1,366 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning55

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLLWWLWLWW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim6.4

Aggression7.4

Utility7.0

Positioning5.5

Opening Duels2.9

Clutch3.8

Strong CT-side opener

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 Twistzz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 49% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim6.4

Positioning5.5

Utility7.0

Mechanics3.9

Opening Duels2.9

Win Impact6.1

Composite 5.6/10 (Solid), 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 rating0.03+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time563ms−79ms

first ⅓ avg 642ms → last ⅓ avg 563ms

Headshot accuracy15.8%−0.9%

first ⅓ avg 16.7% → last ⅓ avg 15.8%

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

0.18Best rating — nuke 13–0

13–0Biggest win — nuke

8Longest win streak

L3Current streak

4–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 57% over 21infernoWeakest map · 31% over 32

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	32	10–22	31%	0.00
ancient	C	25	10–15	40%	0.01
nuke	A	21	12–9	57%	0.01
anubis	B	10	5–5	50%	0.02
overpass	A	7	4–3	57%	-0.02
vertigo	—	2	2–0	100%	0.06
cache	—	1	0–1	0%	-0.01
dust2	—	1	0–1	0%	-0.01
mirage	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

905Matches

50%Win rate

1.10Avg K/D

79.9ADR

43%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	178	63%	1.13	15.3
Inferno	124	48%	1.12	16.4
Anubis	122	48%	1.05	16.6
Ancient	89	39%	1.01	15.6
Train	61	43%	1.11	17.3
Overpass	53	51%	1.10	16.4
Vertigo	49	61%	1.22	16.2
Mirage	18	33%	0.88	16.0

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.

15.9%Headshot accuracy

37.9%Accuracy (enemy spotted)

39.1%Spray accuracy

67.4%Counter-strafing

10.8°Preaim

562msReaction time

33.5%T opening success

49.3%CT opening success

0.58Enemies flashed / flash

10.3%Flash assists

10.39HE damage / grenade

10.17Flashes / 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 33.5284% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	10–13	0.05	23%	19 Aug →
inferno	7–13	0.08	10%	19 Aug →
nuke	9–13	-0.02	26%	19 Aug →
nuke	13–9	0.07	26%	19 Aug →
inferno	13–10	0.00	18%	19 Aug →
nuke	9–13	0.01	20%	19 Aug →
inferno	13–11	0.02	19%	19 Aug →
inferno	14–16	-0.04	14%	19 Aug →
ancient	13–6	0.02	20%	19 Aug →
inferno	13–7	0.10	23%	19 Aug →
ancient	16–13	0.08	15%	17 Aug →
inferno	13–5	0.08	18%	17 Aug →
inferno	13–10	-0.02	9%	17 Aug →
vertigo	16–12	0.05	15%	17 Aug →
inferno	13–9	0.00	13%	17 Aug →
ancient	13–10	-0.08	10%	17 Aug →
ancient	11–13	0.00	9%	12 Aug →
cache	9–13	-0.01	13%	12 Aug →
inferno	8–13	-0.09	11%	12 Aug →
inferno	11–13	-0.00	13%	12 Aug →
anubis	13–7	0.02	20%	12 Aug →
nuke	6–13	-0.00	24%	12 Aug →
ancient	13–5	0.08	24%	12 Aug →
inferno	9–13	0.04	14%	12 Aug →
nuke	14–16	0.04	17%	5 Aug →
anubis	13–3	0.03	14%	5 Aug →
ancient	8–5	0.03	14%	5 Aug →
nuke	13–9	0.03	7%	5 Aug →
ancient	10–13	0.04	10%	5 Aug →
ancient	3–13	-0.04	13%	5 Aug →
inferno	5–13	0.07	7%	5 Aug →
inferno	7–13	0.02	15%	5 Aug →
nuke	13–0	0.18	18%	5 Aug →
nuke	13–7	0.01	30%	3 Aug →
ancient	13–2	0.04	13%	3 Aug →
ancient	7–13	0.02	24%	31 Jul →
anubis	13–5	0.12	16%	31 Jul →
anubis	13–2	0.11	15%	31 Jul →
ancient	6–13	0.12	20%	25 Jul →
anubis	7–13	0.01	21%	25 Jul →
inferno	7–13	0.02	28%	3 Jul →
ancient	11–13	0.02	14%	1 Jul →
inferno	10–13	0.01	8%	1 Jul →
anubis	9–13	-0.03	15%	1 Jul →
inferno	13–10	-0.01	23%	1 Jul →
overpass	16–13	-0.06	8%	1 Jul →
ancient	13–1	0.14	18%	1 Jul →
inferno	6–13	0.00	18%	1 Jul →
inferno	13–4	0.05	14%	24 Jun →
ancient	10–13	0.08	12%	24 Jun →
nuke	7–13	-0.04	17%	24 Jun →
nuke	13–9	-0.01	20%	24 Jun →
inferno	10–13	0.02	16%	24 Jun →
overpass	2–13	0.05	14%	17 Jun →
nuke	13–11	0.03	20%	17 Jun →
nuke	13–9	0.06	16%	17 Jun →
ancient	11–13	-0.07	16%	17 Jun →
inferno	1–13	-0.09	13%	17 Jun →
nuke	3–13	-0.02	11%	17 Jun →
inferno	6–13	-0.03	13%	17 Jun →
inferno	1–13	-0.03	46%	17 Jun →
ancient	8–13	0.02	15%	10 Jun →
ancient	5–13	-0.09	6%	10 Jun →
nuke	13–10	-0.01	17%	10 Jun →
anubis	15–15	0.01	12%	10 Jun →
inferno	8–13	-0.04	13%	10 Jun →
nuke	15–15	0.02	16%	10 Jun →
nuke	13–8	-0.02	29%	10 Jun →
ancient	8–13	0.00	12%	9 Jun →
inferno	5–13	-0.06	9%	9 Jun →
nuke	13–8	0.05	12%	9 Jun →
overpass	16–13	-0.03	24%	9 Jun →
nuke	7–13	-0.08	22%	9 Jun →
nuke	13–8	-0.02	9%	9 Jun →
inferno	10–13	-0.03	13%	9 Jun →
ancient	13–10	0.07	12%	3 Jun →
overpass	10–13	-0.02	13%	3 Jun →
nuke	10–13	-0.03	24%	3 Jun →
overpass	6–13	-0.04	15%	3 Jun →
ancient	13–10	-0.04	20%	3 Jun →
inferno	13–8	0.02	20%	3 Jun →
ancient	2–13	-0.08	26%	3 Jun →
anubis	5–13	-0.06	19%	3 Jun →
ancient	7–13	-0.05	14%	2 Jun →
inferno	4–13	-0.05	17%	28 May →
vertigo	13–4	0.08	19%	28 May →
ancient	7–13	-0.01	18%	27 May →
dust2	6–13	-0.01	13%	27 May →
inferno	15–15	0.04	21%	27 May →
mirage	10–13	-0.00	14%	27 May →
anubis	13–9	0.02	14%	27 May →
overpass	16–13	-0.01	15%	27 May →
inferno	11–13	-0.03	14%	27 May →
nuke	13–11	0.05	10%	27 May →
ancient	13–3	-0.00	19%	20 May →
anubis	9–13	-0.01	15%	20 May →
overpass	13–10	0.01	17%	20 May →
inferno	14–16	-0.01	20%	20 May →
inferno	13–11	0.06	15%	20 May →
inferno	13–16	-0.04	17%	20 May →