VEGETA — CS2 Stats

76561198028138719[U:1:67872991]

1,365Tracked matches55%Win rate2020Tracked since

CSDB Rating6.5 SolidEntry Fragger

Premier CS Rating19,892Purple band · top ~8.9% of ranked players (population est.)

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning68

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWWWWLLLLW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.7

Aggression10.0

Utility3.9

Positioning6.8

Opening Duels6.0

Clutch0.6

Sharp aimerStrong 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 sh1ro 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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 87 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 65% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning6.8

Utility3.9

Mechanics4.7

Opening Duels6.0

Win Impact6.7

Composite 6.5/10 (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+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time514ms−21ms

first ⅓ avg 535ms → last ⅓ avg 514ms

Headshot accuracy27.0%+3.9%

first ⅓ avg 23.1% → last ⅓ avg 27.0%

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

0.14Best rating — dust2 9–13

13–2Biggest win — dust2

6Longest win streak

9–4In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 67% over 15ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	34	17–17	50%	0.03
inferno	B	20	9–11	45%	0.02
nuke	S	15	10–5	67%	0.02
ancient	D	11	3–8	27%	0.01
anubis	C	9	4–5	44%	0.03
mirage	C	7	3–4	43%	0.03
cache	—	4	3–1	75%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

54Matches

52%Win rate

1.27Avg K/D

100.8ADR

50%Headshot %

Clutches & streaks

23%1v1 clutch win

24%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	13	31%	1.28	20.8
Cache	9	67%	1.26	20.7
Ancient	8	50%	1.67	20.1
Inferno	7	71%	1.09	18.1
Mirage	5	20%	0.97	21.0
Nuke	3	67%	1.05	15.0
Overpass	1	100%	3.18	35.0
Anubis	1	100%	1.29	18.0

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.

26.8%Headshot accuracy

37.1%Accuracy (enemy spotted)

37.2%Spray accuracy

70.9%Counter-strafing

7.1°Preaim

520msReaction time

43.2%T opening success

64.8%CT opening success

0.47Enemies flashed / flash

6.9%Flash assists

6.19HE damage / grenade

6.08Flashes / 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.

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 0.4731 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.01	21%	28 Aug →
nuke	13–10	0.11	34%	28 Aug →
inferno	13–8	0.00	21%	26 Aug →
dust2	13–4	0.06	32%	26 Aug →
cache	13–9	-0.02	52%	26 Aug →
inferno	12–16	0.02	34%	24 Aug →
inferno	10–13	0.09	34%	24 Aug →
nuke	10–13	-0.02	25%	24 Aug →
ancient	4–13	-0.01	24%	23 Aug →
dust2	13–2	0.09	24%	23 Aug →
dust2	13–11	0.04	39%	23 Aug →
inferno	13–11	0.01	30%	23 Aug →
ancient	10–13	-0.01	20%	16 Aug →
dust2	13–5	0.07	30%	16 Aug →
anubis	15–15	0.02	21%	2 Aug →
dust2	13–8	0.02	29%	2 Aug →
dust2	13–16	0.03	24%	2 Aug →
anubis	12–16	0.00	23%	31 Jul →
nuke	13–11	0.01	14%	31 Jul →
dust2	13–5	-0.02	29%	31 Jul →
anubis	7–13	-0.00	29%	26 Jul →
dust2	8–13	-0.02	14%	26 Jul →
inferno	4–13	0.11	31%	26 Jul →
dust2	13–10	0.07	18%	26 Jul →
nuke	13–9	0.04	26%	26 Jul →
cache	13–4	0.13	47%	26 Jul →
cache	11–13	0.02	13%	26 Jul →
nuke	13–11	0.02	28%	24 Jul →
dust2	13–4	0.10	26%	24 Jul →
inferno	10–13	0.02	24%	22 Jul →
nuke	4–13	-0.00	24%	19 Jul →
dust2	3–13	-0.01	42%	19 Jul →
ancient	23–25	0.01	12%	12 Jul →
nuke	13–6	0.03	42%	10 Jul →
dust2	13–3	0.05	21%	10 Jul →
inferno	14–16	0.05	20%	10 Jul →
ancient	13–16	0.00	14%	10 Jul →
cache	13–10	0.04	19%	8 Jul →
dust2	7–13	-0.02	28%	3 Jul →
dust2	7–13	0.11	21%	3 Jul →
dust2	16–14	0.05	24%	28 Jun →
ancient	8–13	-0.02	24%	14 Jun →
inferno	13–11	0.04	18%	13 Jun →
dust2	15–15	0.03	27%	13 Jun →
inferno	13–10	-0.03	12%	12 Jun →
inferno	13–3	-0.00	22%	12 Jun →
inferno	4–13	0.03	38%	6 Jun →
ancient	7–13	0.06	27%	5 Jun →
inferno	13–5	0.04	33%	5 Jun →
dust2	13–10	0.04	34%	5 Jun →
mirage	16–14	0.10	25%	2 Jun →
mirage	10–13	0.02	33%	2 Jun →
anubis	13–16	0.03	19%	31 May →
nuke	10–13	0.00	18%	31 May →
mirage	7–13	-0.03	16%	25 May →
nuke	16–12	0.01	26%	25 May →
mirage	9–13	0.00	11%	25 May →
inferno	5–13	0.01	29%	25 May →
mirage	6–13	0.13	12%	24 May →
inferno	6–13	-0.02	30%	24 May →
dust2	5–13	-0.01	17%	24 May →
anubis	13–7	0.05	11%	24 May →
inferno	13–10	0.05	22%	24 May →
dust2	9–13	0.14	33%	24 May →
ancient	4–13	-0.04	14%	23 May →
nuke	11–13	0.05	18%	23 May →
inferno	16–13	-0.00	21%	23 May →
dust2	13–10	0.07	19%	17 May →
mirage	13–3	0.01	22%	17 May →
nuke	13–10	-0.02	28%	17 May →
dust2	9–13	-0.03	33%	17 May →
dust2	7–13	-0.07	11%	15 May →
anubis	13–5	0.10	16%	15 May →
nuke	6–13	0.04	38%	15 May →
inferno	6–13	-0.08	10%	15 May →
anubis	10–13	-0.01	26%	15 May →
inferno	7–13	0.00	15%	14 May →
dust2	13–10	0.03	13%	14 May →
anubis	13–9	0.02	15%	14 May →
dust2	13–11	0.01	14%	13 May →
dust2	8–13	0.01	18%	13 May →
ancient	13–11	0.03	16%	13 May →
dust2	9–13	-0.05	24%	10 May →
nuke	13–7	0.02	23%	10 May →
dust2	13–8	0.06	33%	10 May →
dust2	4–13	-0.02	32%	10 May →
anubis	16–13	0.07	32%	8 May →
dust2	13–8	0.06	29%	8 May →
ancient	13–10	0.06	19%	8 May →
inferno	13–5	0.02	14%	8 May →
nuke	13–8	-0.00	13%	8 May →
mirage	13–7	-0.00	18%	3 May →
dust2	6–13	0.02	47%	3 May →
ancient	8–13	-0.04	14%	3 May →
inferno	10–13	-0.01	29%	2 May →
nuke	13–7	0.09	39%	2 May →
ancient	13–9	0.04	12%	2 May →
dust2	15–15	0.05	25%	2 May →
dust2	10–13	-0.02	35%	30 Apr →
dust2	13–3	0.09	33%	30 Apr →