Arty — CS2 Stats

76561199110891105[U:1:1150625377]

1,239Tracked matches65%Win rate2023Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 6 · 1,063 ELOTop 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning68

Utility47

0–100 skill scores via Leetify.

Recent form

COLD56–35–9Last 10056%Win rateWLTWTWLLLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.2

Aggression10.0

Utility4.7

Positioning6.8

Opening Duels5.9

Clutch3.4

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 ZywOo 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms 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

Aim7.2

Positioning6.8

Utility4.7

Mechanics7.8

Opening Duels5.9

Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time663ms−14ms

first ⅓ avg 677ms → last ⅓ avg 663ms

Headshot accuracy14.8%+2.3%

first ⅓ avg 12.5% → last ⅓ avg 14.8%

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

0.20Best rating — cache 13–8

13–1Biggest win — cache

12Longest win streak

7–5In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 61% over 76dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	76	46–30	61%	0.04
mirage	A	11	6–5	55%	0.00
dust2	D	5	1–4	20%	-0.01
inferno	—	3	2–1	67%	-0.00
ancient	—	3	1–2	33%	-0.06
vertigo	—	1	0–1	0%	-0.04
train	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches

56%Win rate

0.87Avg K/D

68.2ADR

28%Headshot %

Clutches & streaks

37%1v1 clutch win

13%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	12	50%	0.84	13.1
Dust2	11	55%	0.97	14.6
Nuke	10	50%	0.79	11.5
Mirage	8	50%	0.71	10.4
Anubis	7	71%	0.99	13.4
Overpass	4	100%	1.08	17.0
Ancient	4	50%	0.75	10.8
Train	1	0%	0.71	12.0

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.

14.9%Headshot accuracy

38.4%Accuracy (enemy spotted)

36.0%Spray accuracy

85.2%Counter-strafing

8.2°Preaim

662msReaction time

38.3%T opening success

68.6%CT opening success

0.51Enemies flashed / flash

6.5%Flash assists

8.97HE damage / grenade

5.62Flashes / 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.

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 14.8627% — below the 15% mark we flag
Aim Training →
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 38.3282% — below the 40% mark we flag

Spend your practice time on Dust 2

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–9	0.01	16%	30 Aug →
inferno	9–13	-0.01	26%	16 Aug →
cache	12–12	-0.03	17%	10 Aug →
inferno	13–5	0.02	31%	9 Aug →
cache	12–12	0.09	6%	9 Aug →
cache	13–4	0.10	12%	9 Aug →
dust2	8–13	-0.02	20%	8 Aug →
cache	4–13	0.02	17%	8 Aug →
dust2	10–13	0.01	12%	31 Jul →
cache	5–13	-0.01	14%	31 Jul →
cache	6–13	0.04	6%	31 Jul →
cache	13–7	-0.01	15%	30 Jul →
cache	13–11	-0.00	6%	30 Jul →
cache	13–10	0.16	10%	30 Jul →
cache	13–4	0.04	14%	30 Jul →
cache	13–5	0.02	15%	29 Jul →
cache	13–1	0.16	16%	29 Jul →
cache	12–12	0.01	13%	29 Jul →
cache	11–13	0.12	10%	28 Jul →
cache	13–4	0.07	19%	27 Jul →
cache	13–9	0.04	19%	27 Jul →
cache	12–12	0.01	19%	22 Jul →
cache	13–8	0.07	9%	22 Jul →
cache	13–10	0.01	18%	18 Jul →
cache	3–13	-0.03	17%	18 Jul →
cache	5–13	0.10	5%	18 Jul →
cache	13–3	0.08	20%	16 Jul →
cache	13–3	0.08	12%	16 Jul →
cache	13–11	0.01	22%	16 Jul →
cache	13–3	0.18	14%	16 Jul →
cache	12–12	0.04	11%	15 Jul →
cache	13–5	-0.02	16%	14 Jul →
cache	13–10	0.01	10%	14 Jul →
cache	11–13	0.09	11%	14 Jul →
cache	2–13	-0.06	16%	13 Jul →
cache	4–13	-0.00	19%	13 Jul →
cache	13–10	0.04	14%	13 Jul →
cache	13–9	0.05	12%	13 Jul →
cache	13–6	0.06	20%	12 Jul →
dust2	13–11	-0.03	17%	12 Jul →
cache	13–4	0.01	15%	11 Jul →
ancient	13–7	-0.02	13%	11 Jul →
cache	13–10	0.01	19%	9 Jul →
cache	13–7	0.02	5%	9 Jul →
cache	13–6	0.01	12%	9 Jul →
cache	13–8	-0.03	9%	9 Jul →
mirage	13–8	0.02	9%	8 Jul →
cache	13–8	0.04	4%	8 Jul →
cache	12–12	0.00	7%	6 Jul →
cache	11–1	0.07	4%	6 Jul →
cache	13–4	-0.00	15%	6 Jul →
cache	13–2	0.11	14%	6 Jul →
cache	13–6	0.15	9%	5 Jul →
cache	5–13	-0.00	12%	5 Jul →
dust2	6–13	-0.01	11%	5 Jul →
mirage	13–2	0.06	20%	5 Jul →
cache	5–13	-0.01	11%	5 Jul →
cache	12–12	0.06	10%	5 Jul →
cache	13–4	0.06	6%	5 Jul →
cache	13–8	0.20	13%	5 Jul →
cache	13–7	0.13	9%	5 Jul →
cache	4–13	-0.03	13%	5 Jul →
vertigo	1–13	-0.04	11%	5 Jul →
cache	7–13	-0.02	14%	5 Jul →
ancient	0–2	-0.17	0%	5 Jul →
train	12–12	0.05	10%	5 Jul →
mirage	4–13	-0.04	7%	5 Jul →
dust2	12–12	0.01	12%	5 Jul →
ancient	11–13	0.02	13%	4 Jul →
cache	6–13	-0.03	11%	4 Jul →
cache	13–7	0.08	10%	4 Jul →
cache	5–4	0.00	14%	4 Jul →
cache	13–7	0.13	8%	4 Jul →
cache	3–13	-0.11	17%	4 Jul →
cache	10–13	-0.02	18%	4 Jul →
cache	13–11	0.02	7%	4 Jul →
cache	3–13	-0.05	12%	4 Jul →
cache	13–1	0.10	9%	4 Jul →
cache	7–13	0.02	14%	4 Jul →
cache	13–9	0.02	10%	4 Jul →
cache	1–13	-0.09	6%	1 Jul →
cache	13–5	-0.05	11%	1 Jul →
cache	13–4	0.05	19%	1 Jul →
cache	13–6	0.12	14%	1 Jul →
cache	13–9	-0.03	15%	1 Jul →
cache	10–13	0.11	9%	1 Jul →
mirage	9–13	-0.02	8%	1 Jul →
mirage	4–13	0.01	7%	1 Jul →
mirage	2–9	-0.06	19%	1 Jul →
mirage	4–13	-0.06	5%	30 Jun →
mirage	13–7	-0.03	8%	30 Jun →
mirage	13–11	0.07	10%	30 Jun →
mirage	13–8	0.04	13%	30 Jun →
cache	7–13	0.08	19%	30 Jun →
mirage	8–2	0.06	33%	28 Jun →
inferno	13–11	-0.01	13%	28 Jun →
cache	13–8	0.03	17%	28 Jun →
cache	3–9	-0.03	4%	28 Jun →
cache	11–13	0.08	13%	28 Jun →
cache	13–10	0.07	13%	28 Jun →