Artmansky — CS2 Stats

76561198195906329[U:1:235640601]Steam profile ↗✓ No bans

682Tracked matches63%Win rate2020Tracked since

2,561Hours in CS6Hrs last 2 wks

CSDB Rating7.4 StrongAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim90

Positioning62

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWLLLWWLWLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim9.0

Aggression8.4

Utility5.1

Positioning6.2

Opening Duels4.1

Clutch3.6

Sharp aimerExcellent counter-strafingEffective 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 donk 94% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 90 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 611ms 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

Aim9.0

Positioning6.2

Utility5.1

Mechanics8.8

Opening Duels4.1

Win Impact9.4

Composite 7.4/10 (Strong), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time621ms−47ms

first ⅓ avg 668ms → last ⅓ avg 621ms

Headshot accuracy24.1%+0.6%

first ⅓ avg 23.6% → last ⅓ avg 24.1%

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

0.19Best rating — nuke 13–6

13–2Biggest win — anubis

7Longest win streak

7–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	21	8–13	38%	0.03
ancient	B	19	10–9	53%	0.01
inferno	B	17	9–8	53%	0.04
dust2	C	14	6–8	43%	0.00
nuke	C	12	5–7	42%	0.06
anubis	S	6	5–1	83%	0.02
overpass	S	6	4–2	67%	0.03
cache	—	3	2–1	67%	0.05
train	—	1	1–0	100%	-0.04
vertigo	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,763Lifetime kills

1.05K/D · Top 50% of tracked players

4,210Matches

42.2%Match win rate

44.2%Headshot %

17.3%Shot accuracy · Top 25% of tracked players

10,025MVPs

1,536Hours (in match)

2,618Bombs planted

750Bombs defused

Most-used weapons

AK-4726,691

M4A4 / M4A1-S10,547

AWP10,494

Desert Eagle10,397

P2000 / USP-S4,804

P902,573

Glock-182,171

P2501,766

Five-SeveN1,268

Tec-91,188

Lifetime map wins

5,102dust2

4,003inferno

2,373nuke

653train

402vertigo

397cbble

109lake

62bank

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

Faceit stats

Combat

136Matches

54%Win rate

1.13Avg K/D

84.0ADR

54%Headshot %

Clutches & streaks

38%1v1 clutch win

29%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	24	58%	1.16	18.7
Ancient	20	65%	1.21	17.6
Mirage	19	42%	1.09	18.4
Inferno	11	55%	1.30	17.6
Anubis	9	44%	1.10	16.9
Cache	8	38%	1.03	20.4
Nuke	8	50%	0.98	15.5
Overpass	4	50%	0.76	12.3

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.

24.9%Headshot accuracy

39.9%Accuracy (enemy spotted)

42.1%Spray accuracy

89.6%Counter-strafing

9.1°Preaim

611msReaction time

42.8%T opening success

50.2%CT opening success

0.73Enemies flashed / flash

6.5%Flash assists

9.07HE damage / grenade

6.70Flashes / match

Recommended for you

Spend your practice time on Mirage

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.04	31%	28 Aug →
nuke	11–13	-0.05	15%	28 Aug →
ancient	7–13	0.01	29%	28 Aug →
ancient	5–13	-0.01	18%	13 Aug →
mirage	13–10	0.09	16%	10 Aug →
ancient	13–6	0.03	18%	26 Jul →
inferno	8–13	0.01	26%	24 Jul →
anubis	13–8	-0.06	24%	22 Jul →
ancient	2–13	0.01	29%	22 Jul →
dust2	4–13	-0.05	18%	15 Jul →
anubis	13–2	0.03	17%	15 Jul →
inferno	13–8	0.15	31%	14 Jul →
nuke	13–10	0.07	32%	13 Jul →
ancient	13–8	0.00	31%	13 Jul →
mirage	9–13	0.06	42%	10 Jul →
inferno	13–4	0.06	36%	10 Jul →
ancient	4–13	-0.11	21%	10 Jul →
inferno	11–13	-0.02	34%	8 Jul →
dust2	13–3	0.09	24%	8 Jul →
train	13–6	-0.04	41%	7 Jul →
ancient	13–8	0.09	12%	7 Jul →
mirage	6–13	-0.04	31%	6 Jul →
inferno	13–6	0.14	15%	6 Jul →
ancient	13–10	0.00	32%	6 Jul →
overpass	13–4	-0.04	11%	3 Jul →
mirage	13–6	-0.03	27%	29 Jun →
ancient	13–4	0.00	24%	29 Jun →
overpass	13–4	0.09	35%	29 Jun →
dust2	16–13	-0.03	11%	29 Jun →
ancient	10–13	0.06	20%	25 Jun →
inferno	13–11	0.05	19%	25 Jun →
mirage	13–11	0.02	9%	25 Jun →
nuke	4–13	0.01	21%	19 Jun →
inferno	7–13	0.02	21%	11 Jun →
inferno	7–13	0.05	13%	11 Jun →
vertigo	6–9	0.06	26%	6 Jun →
dust2	7–13	-0.06	15%	6 Jun →
ancient	7–13	-0.04	24%	6 Jun →
ancient	13–11	-0.02	21%	6 Jun →
dust2	13–16	-0.02	10%	5 Jun →
dust2	11–13	0.04	18%	1 Jun →
mirage	6–13	-0.02	22%	1 Jun →
dust2	13–3	0.01	14%	31 May →
anubis	13–6	0.04	26%	30 May →
nuke	13–6	0.19	25%	23 May →
mirage	10–13	0.05	18%	20 May →
dust2	13–8	-0.07	16%	20 May →
inferno	10–13	0.01	33%	14 May →
mirage	1–13	-0.02	31%	14 May →
nuke	10–13	0.09	27%	13 May →
dust2	14–16	0.02	31%	13 May →
mirage	13–5	0.06	30%	13 May →
ancient	13–10	0.04	18%	12 May →
ancient	13–4	0.06	22%	12 May →
mirage	8–13	0.02	32%	12 May →
nuke	13–2	0.12	20%	7 May →
mirage	7–13	0.00	31%	7 May →
ancient	13–9	-0.02	24%	6 May →
cache	13–11	0.09	30%	6 May →
cache	13–5	0.04	22%	6 May →
dust2	13–10	0.06	36%	5 May →
inferno	11–13	0.04	24%	5 May →
mirage	13–9	0.12	27%	5 May →
inferno	13–11	0.03	29%	3 May →
nuke	11–13	0.05	23%	3 May →
dust2	10–13	0.03	22%	3 May →
overpass	11–13	0.04	14%	3 May →
inferno	13–7	0.03	17%	3 May →
inferno	9–13	0.08	24%	30 Apr →
anubis	7–13	-0.01	24%	30 Apr →
ancient	11–13	0.05	23%	30 Apr →
anubis	13–6	0.05	18%	30 Apr →
mirage	7–13	0.00	20%	29 Apr →
cache	6–13	0.03	23%	29 Apr →
anubis	13–9	0.04	22%	28 Apr →
nuke	4–13	-0.02	28%	28 Apr →
nuke	6–13	0.04	34%	27 Apr →
ancient	6–13	0.00	18%	27 Apr →
mirage	8–13	-0.03	19%	27 Apr →
inferno	13–11	0.00	14%	26 Apr →
dust2	13–11	0.02	16%	26 Apr →
nuke	13–7	0.08	19%	26 Apr →
mirage	14–16	0.03	18%	26 Apr →
dust2	5–13	0.00	31%	24 Apr →
mirage	13–7	0.03	21%	24 Apr →
ancient	13–9	0.04	22%	24 Apr →
mirage	8–13	-0.00	25%	24 Apr →
nuke	10–13	0.03	28%	23 Apr →
mirage	6–13	0.01	38%	22 Apr →
overpass	13–8	0.07	29%	22 Apr →
overpass	13–2	0.04	19%	22 Apr →
overpass	3–13	0.00	20%	22 Apr →
inferno	8–8	0.00	31%	22 Apr →
dust2	7–13	-0.04	37%	22 Apr →
mirage	13–6	0.07	16%	21 Apr →
inferno	13–10	0.02	20%	21 Apr →
ancient	4–13	-0.03	20%	21 Apr →
mirage	10–3	0.07	39%	21 Apr →
nuke	16–12	0.07	27%	19 Apr →
mirage	6–13	0.08	18%	19 Apr →