Vix — CS2 Stats

76561198959714261[U:1:999448533]

2,897Tracked matches35%Win rate2022Tracked since

1,257Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#9111 of 20871 tracked

FaceitLevel 7 · 1,488 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning54

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLTLLLWWLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.2

Aggression8.5

Utility5.1

Positioning5.4

Opening Duels3.8

Clutch3.6

Sharp aimerEffective flashes

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 92% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 589ms 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

Aim9.2

Positioning5.4

Utility5.1

Mechanics8.1

Opening Duels3.8

Win Impact0.0

Composite 6.2/10 (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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time592ms−12ms

first ⅓ avg 604ms → last ⅓ avg 592ms

Headshot accuracy19.8%−3.2%

first ⅓ avg 23.0% → last ⅓ avg 19.8%

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 — mirage 13–3

13–1Biggest win — anubis

5Longest win streak

7–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 67% over 9anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	9–13	41%	0.00
mirage	C	22	9–13	41%	0.03
cache	A	16	10–6	63%	0.02
inferno	C	10	4–6	40%	-0.01
anubis	D	9	2–7	22%	0.01
ancient	S	9	6–3	67%	0.05
nuke	A	5	3–2	60%	-0.01
train	—	3	1–2	33%	0.05
vertigo	—	2	2–0	100%	0.05
overpass	—	1	0–1	0%	0.05
shelter	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,508Lifetime kills

1.26K/D · Top 25% of tracked players

3,523Matches

48.1%Match win rate · Top 50% of tracked players

55.1%Headshot % · Top 25% of tracked players

10.8%Shot accuracy

8,961MVPs

1,257Hours (in match)

2,619Bombs planted

808Bombs defused

Most-used weapons

AK-4736,154

M4A4 / M4A1-S12,912

AWP5,706

Desert Eagle5,430

P2000 / USP-S4,806

Glock-183,682

SSG 081,938

Galil AR1,792

FAMAS908

MP9750

Lifetime map wins

8,567dust2

3,728inferno

1,511nuke

1,361vertigo

925train

20office

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

Faceit stats

Combat

211Matches

54%Win rate

1.26Avg K/D

93.2ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	62	60%	1.40	18.4
Dust2	38	47%	1.28	19.2
Ancient	24	42%	1.14	17.1
Nuke	17	47%	1.29	17.0
Inferno	14	71%	1.42	20.8
Anubis	13	54%	1.15	16.4
Train	12	75%	1.40	21.8
Overpass	6	33%	1.10	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.

20.5%Headshot accuracy

42.3%Accuracy (enemy spotted)

44.9%Spray accuracy

86.6%Counter-strafing

7.7°Preaim

589msReaction time

40.4%T opening success

50.0%CT opening success

0.78Enemies flashed / flash

11.0%Flash assists

3.87HE damage / grenade

8.48Flashes / match

Recommended for you

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.

22% win rate across 9 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
dust2	13–10	0.00	18%	21 Aug →
inferno	10–13	0.03	20%	15 Aug →
dust2	12–12	-0.00	20%	15 Aug →
anubis	6–13	-0.02	17%	15 Aug →
anubis	10–13	-0.00	38%	10 Aug →
mirage	14–16	0.05	13%	10 Aug →
mirage	13–8	-0.07	8%	10 Aug →
inferno	13–4	-0.00	8%	27 Jul →
mirage	6–13	0.00	23%	27 Jul →
inferno	13–9	0.03	22%	27 Jul →
ancient	13–4	0.15	20%	27 Jul →
anubis	15–15	0.06	17%	27 Jul →
nuke	9–13	-0.06	11%	27 Jul →
mirage	6–13	-0.09	10%	27 Jul →
dust2	11–13	0.03	22%	26 Jul →
ancient	5–13	0.00	20%	26 Jul →
cache	13–6	0.04	15%	26 Jul →
mirage	12–12	0.09	27%	26 Jul →
dust2	1–13	-0.09	30%	26 Jul →
cache	12–12	0.01	19%	24 Jul →
cache	7–13	-0.03	19%	24 Jul →
dust2	13–9	0.03	25%	20 Jul →
mirage	7–13	-0.01	15%	20 Jul →
inferno	2–13	-0.12	25%	19 Jul →
mirage	9–13	-0.00	19%	19 Jul →
overpass	11–13	0.05	20%	17 Jul →
dust2	13–16	-0.06	45%	16 Jul →
cache	13–4	0.05	44%	16 Jul →
dust2	13–7	0.07	21%	16 Jul →
mirage	4–13	-0.07	0%	16 Jul →
cache	13–11	-0.04	9%	16 Jul →
mirage	6–13	-0.03	14%	14 Jul →
anubis	8–13	-0.06	23%	14 Jul →
cache	13–11	-0.03	21%	14 Jul →
mirage	10–13	0.06	24%	14 Jul →
mirage	16–14	0.01	13%	14 Jul →
cache	13–4	0.04	26%	12 Jul →
dust2	8–13	-0.03	11%	12 Jul →
train	8–13	0.10	11%	12 Jul →
ancient	13–6	0.03	15%	12 Jul →
ancient	13–10	0.09	22%	12 Jul →
anubis	0–13	-0.06	100%	11 Jul →
cache	9–13	0.04	26%	10 Jul →
anubis	10–13	-0.01	7%	10 Jul →
shelter	12–12	0.08	13%	10 Jul →
dust2	5–13	-0.02	18%	9 Jul →
mirage	13–4	0.10	21%	9 Jul →
nuke	13–16	-0.07	24%	9 Jul →
cache	13–9	-0.00	24%	8 Jul →
ancient	4–13	-0.02	20%	6 Jul →
ancient	10–13	0.02	19%	6 Jul →
mirage	7–13	0.05	23%	6 Jul →
nuke	12–6	0.03	27%	6 Jul →
dust2	7–13	-0.02	50%	6 Jul →
cache	5–13	0.01	20%	4 Jul →
dust2	5–13	-0.00	30%	4 Jul →
dust2	13–3	0.08	20%	4 Jul →
cache	8–13	0.08	24%	4 Jul →
mirage	13–7	0.07	18%	4 Jul →
inferno	8–13	0.02	14%	4 Jul →
train	13–8	0.01	32%	4 Jul →
nuke	13–8	0.08	25%	4 Jul →
vertigo	13–10	0.03	19%	4 Jul →
cache	13–7	0.07	18%	4 Jul →
mirage	13–3	0.16	14%	4 Jul →
anubis	12–12	0.06	20%	4 Jul →
dust2	13–9	0.06	28%	4 Jul →
mirage	8–13	0.07	18%	4 Jul →
anubis	13–1	0.03	7%	4 Jul →
ancient	13–9	0.08	25%	3 Jul →
mirage	2–13	0.05	19%	3 Jul →
mirage	13–2	0.12	28%	3 Jul →
dust2	4–13	0.01	25%	3 Jul →
dust2	4–13	-0.08	21%	3 Jul →
inferno	13–6	-0.00	17%	2 Jul →
mirage	13–11	-0.09	18%	2 Jul →
inferno	8–13	-0.01	31%	1 Jul →
ancient	13–5	-0.01	9%	1 Jul →
ancient	13–10	0.10	16%	28 Jun →
inferno	13–2	0.05	14%	28 Jun →
cache	3–13	-0.02	10%	28 Jun →
dust2	13–11	0.06	14%	28 Jun →
dust2	13–11	0.02	18%	28 Jun →
mirage	13–3	0.18	28%	28 Jun →
cache	13–9	0.01	28%	26 Jun →
inferno	7–13	0.02	23%	26 Jun →
mirage	13–8	0.02	13%	26 Jun →
inferno	3–13	-0.08	11%	26 Jun →
dust2	8–13	0.04	24%	26 Jun →
cache	13–4	0.02	37%	26 Jun →
dust2	11–1	-0.02	50%	26 Jun →
nuke	13–7	-0.02	16%	24 Jun →
dust2	11–13	0.01	26%	24 Jun →
mirage	10–13	-0.04	21%	24 Jun →
dust2	13–2	0.05	21%	24 Jun →
dust2	3–13	-0.06	36%	24 Jun →
cache	13–6	0.10	41%	23 Jun →
vertigo	13–10	0.06	25%	23 Jun →
train	11–13	0.04	47%	23 Jun →
anubis	13–11	0.06	24%	23 Jun →