violet — CS2 Stats

US76561198965898751[U:1:1005633023]Steam profile ↗✓ No bans

3,008Tracked matches45%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim76

Positioning55

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLLLLWLLWWW

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

Player DNA

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

Aim7.6

Aggression5.9

Utility4.2

Positioning5.5

Opening Duels2.5

Clutch3.2

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: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

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 57% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim7.6

Positioning5.5

Utility4.2

Mechanics7.8

Opening Duels3.4

Win Impact3.3

Composite 5.6/10 (Solid), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time579ms−24ms

first ⅓ avg 603ms → last ⅓ avg 579ms

Headshot accuracy22.3%+0.9%

first ⅓ avg 21.4% → last ⅓ avg 22.3%

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

0.15Best rating — nuke 9–2

13–2Biggest win — inferno

5Longest win streak

L4Current streak

2–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 100% over 5infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	30	10–20	33%	0.00
dust2	B	27	13–14	48%	-0.00
ancient	B	11	5–6	45%	0.00
inferno	D	10	2–8	20%	-0.03
anubis	D	7	2–5	29%	-0.02
cache	S	5	5–0	100%	0.02
vertigo	C	5	2–3	40%	0.00
nuke	—	3	2–1	67%	0.12
overpass	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,231Matches

51%Win rate

1.00Avg K/D

72.9ADR

54%Headshot %

Clutches & streaks

36%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	403	50%	0.97	14.0
Dust2	257	56%	1.09	14.7
Ancient	168	48%	0.95	14.9
Inferno	124	47%	1.03	14.0
Anubis	108	43%	0.89	14.2
Nuke	48	48%	0.98	15.3
Train	36	58%	1.03	14.3
Vertigo	35	74%	1.33	16.1

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.

22.0%Headshot accuracy

32.7%Accuracy (enemy spotted)

36.8%Spray accuracy

84.9%Counter-strafing

9.7°Preaim

574msReaction time

22.7%T opening success

57.0%CT opening success

0.38Enemies flashed / flash

6.8%Flash assists

4.93HE damage / grenade

8.82Flashes / 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 0.3798 — 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 22.6653% — 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.

20% win rate across 10 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
mirage	9–13	0.08	17%	29 Aug →
mirage	0–2	-0.11	0%	29 Aug →
dust2	11–13	0.01	14%	29 Aug →
mirage	4–13	-0.06	24%	28 Aug →
dust2	13–9	0.03	26%	28 Aug →
anubis	12–16	0.01	24%	27 Aug →
mirage	11–13	0.00	28%	27 Aug →
cache	13–10	-0.03	19%	27 Aug →
inferno	13–2	-0.04	62%	26 Aug →
dust2	13–3	-0.00	26%	26 Aug →
mirage	9–13	-0.00	11%	26 Aug →
cache	13–5	0.01	16%	26 Aug →
ancient	9–13	-0.08	20%	25 Aug →
ancient	14–16	-0.02	28%	25 Aug →
ancient	0–13	-0.04	5%	11 Aug →
overpass	9–13	-0.04	20%	11 Aug →
dust2	13–7	0.02	25%	11 Aug →
dust2	7–13	-0.02	24%	11 Aug →
ancient	13–9	0.06	24%	7 Aug →
inferno	8–13	-0.05	13%	7 Aug →
anubis	13–8	0.03	13%	6 Aug →
mirage	15–15	0.03	22%	6 Aug →
vertigo	13–8	0.08	47%	2 Aug →
dust2	13–6	0.00	19%	30 Jul →
dust2	13–3	0.10	20%	27 Jul →
mirage	9–3	0.05	35%	23 Jul →
cache	7–3	-0.07	26%	23 Jul →
mirage	10–13	-0.04	11%	23 Jul →
mirage	5–13	0.04	22%	22 Jul →
inferno	9–13	0.04	18%	22 Jul →
dust2	10–13	-0.02	23%	18 Jul →
inferno	1–13	-0.07	22%	17 Jul →
mirage	13–3	0.08	32%	17 Jul →
dust2	13–2	0.05	36%	16 Jul →
anubis	1–13	-0.08	41%	15 Jul →
inferno	13–5	0.01	17%	15 Jul →
anubis	11–13	-0.00	33%	15 Jul →
ancient	7–13	-0.04	20%	15 Jul →
dust2	4–13	-0.05	20%	10 Jul →
mirage	13–10	0.05	18%	9 Jul →
mirage	8–13	0.02	18%	2 Jul →
cache	13–5	0.13	23%	30 Jun →
vertigo	5–13	-0.04	17%	30 Jun →
mirage	13–16	-0.02	9%	28 Jun →
dust2	13–9	0.03	17%	28 Jun →
nuke	9–2	0.15	22%	26 Jun →
mirage	2–13	-0.10	20%	26 Jun →
anubis	11–13	0.01	24%	26 Jun →
dust2	12–12	-0.06	32%	26 Jun →
mirage	12–12	-0.04	21%	26 Jun →
mirage	13–10	0.04	20%	26 Jun →
mirage	7–13	-0.01	22%	26 Jun →
dust2	13–10	0.04	28%	25 Jun →
anubis	13–7	-0.08	7%	25 Jun →
mirage	13–2	0.11	27%	25 Jun →
dust2	15–15	0.02	34%	25 Jun →
overpass	13–7	0.03	14%	25 Jun →
mirage	13–10	-0.08	9%	24 Jun →
ancient	13–4	-0.01	27%	24 Jun →
dust2	6–13	-0.06	26%	24 Jun →
mirage	10–13	-0.03	19%	24 Jun →
mirage	9–13	0.00	21%	24 Jun →
mirage	13–5	-0.01	31%	23 Jun →
inferno	6–13	-0.05	17%	23 Jun →
dust2	13–10	0.02	19%	23 Jun →
dust2	13–6	-0.02	22%	23 Jun →
ancient	3–13	-0.06	20%	23 Jun →
mirage	4–13	0.06	21%	23 Jun →
ancient	13–7	0.03	24%	23 Jun →
dust2	3–13	-0.03	23%	23 Jun →
mirage	13–6	0.07	19%	23 Jun →
mirage	10–13	-0.00	8%	18 Jun →
dust2	13–11	-0.01	23%	18 Jun →
dust2	3–13	-0.01	22%	18 Jun →
dust2	2–8	-0.05	33%	18 Jun →
anubis	8–13	-0.06	22%	18 Jun →
dust2	12–12	0.02	15%	17 Jun →
dust2	2–13	-0.03	29%	17 Jun →
mirage	7–13	-0.04	15%	17 Jun →
nuke	13–9	0.08	35%	13 Jun →
dust2	9–13	0.03	18%	13 Jun →
nuke	8–13	0.11	22%	13 Jun →
ancient	13–3	0.08	15%	13 Jun →
vertigo	13–6	0.01	35%	13 Jun →
ancient	4–13	0.01	33%	12 Jun →
vertigo	7–13	0.03	20%	12 Jun →
mirage	11–13	-0.00	17%	12 Jun →
dust2	13–9	0.02	19%	12 Jun →
mirage	13–2	-0.01	22%	10 Jun →
inferno	1–13	-0.06	0%	6 Jun →
ancient	13–10	0.08	32%	6 Jun →
inferno	6–13	-0.01	21%	6 Jun →
dust2	13–10	0.06	24%	6 Jun →
mirage	6–13	-0.08	13%	4 Jun →
dust2	5–13	-0.12	8%	3 Jun →
mirage	13–7	0.05	17%	3 Jun →
cache	13–11	0.04	30%	1 Jun →
inferno	6–13	-0.04	26%	1 Jun →
vertigo	3–13	-0.06	21%	30 May →
inferno	11–13	0.02	24%	30 May →