cArsky — CS2 Stats

76561198217150704[U:1:256884976]

2,649Tracked matches21%Win rate2020Tracked since

9,204Hours in CS52Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating18,443Purple band · top ~14.7% of ranked players (population est.)

CSDB Leaderboard#17457 of 36209 tracked

FaceitLevel 10 · 1,928 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	48.0%	52.0%
Shot accuracy	12.2%	13.7%
Kill/death ratio	0.98	1.08
Match win rate	47.3%	48.8%

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Performance scores

Aim69

Positioning48

Utility60

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLWLLWWLLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.9

Aggression4.7

Utility6.0

Positioning4.8

Opening Duels1.4

Clutch3.6

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 NiKo 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Areas to improve

T-side openings. Opening success drops from 46% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim6.9

Positioning4.8

Utility6.0

Mechanics6.2

Opening Duels2.0

Win Impact0.0

Composite 5.1/10 (Developing), 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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time548ms−25ms

first ⅓ avg 574ms → last ⅓ avg 548ms

Headshot accuracy17.9%+0.1%

first ⅓ avg 17.8% → last ⅓ avg 17.9%

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 — inferno 13–1

13–1Biggest win — inferno

5Longest win streak

7–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 67% over 9mirageWeakest map · 21% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	27	9–18	33%	-0.01
mirage	D	19	4–15	21%	0.01
anubis	D	13	4–9	31%	-0.00
ancient	A	11	6–5	55%	0.01
inferno	C	10	4–6	40%	0.01
nuke	S	9	6–3	67%	0.01
cache	A	9	5–4	56%	0.01
overpass	—	2	2–0	100%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

188,477Lifetime kills

0.98K/D

7,435Matches

47.3%Match win rate

48.0%Headshot %

12.2%Shot accuracy

20,422MVPs

4,399Hours (in match)

8,797Bombs planted

2,364Bombs defused

Most-used weapons

AK-4777,285

M4A4 / M4A1-S37,883

P2000 / USP-S10,629

Desert Eagle10,083

AWP10,041

Glock-186,472

FAMAS5,114

Galil AR4,656

Knife3,672

MP93,551

Lifetime map wins

17,109inferno

15,744dust2

3,965nuke

3,102vertigo

2,772train

580cbble

105lake

58safehouse

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

Faceit stats

Combat

3,477Matches

51%Win rate

1.05Avg K/D

79.7ADR

44%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

14Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	307	50%	0.94	14.4
Dust2	214	45%	1.02	15.0
Ancient	186	53%	1.06	16.0
Anubis	165	47%	1.02	14.9
Inferno	156	54%	1.07	14.9
Nuke	61	61%	1.08	15.1
Vertigo	26	42%	0.84	14.3
Overpass	23	57%	1.07	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.

17.8%Headshot accuracy

33.2%Accuracy (enemy spotted)

36.3%Spray accuracy

78.0%Counter-strafing

9.8°Preaim

550msReaction time

25.1%T opening success

46.4%CT opening success

0.54Enemies flashed / flash

8.2%Flash assists

9.75HE damage / grenade

14.57Flashes / 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.

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 25.1005% — below the 40% mark we flag

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.

21% win rate across 19 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	16–19	-0.03	16%	29 Aug →
mirage	13–11	0.04	17%	28 Aug →
dust2	10–13	-0.02	18%	28 Aug →
mirage	11–13	0.04	21%	28 Aug →
dust2	13–4	0.12	27%	28 Aug →
ancient	13–3	-0.05	8%	25 Aug →
dust2	1–13	-0.07	23%	24 Aug →
nuke	5–13	-0.04	15%	23 Aug →
inferno	7–13	-0.03	15%	23 Aug →
anubis	5–13	-0.01	7%	23 Aug →
mirage	15–15	0.01	21%	23 Aug →
anubis	10–13	0.01	12%	22 Aug →
anubis	7–13	-0.07	24%	21 Aug →
inferno	10–13	0.04	16%	21 Aug →
inferno	13–7	0.02	26%	21 Aug →
mirage	9–13	0.02	16%	20 Aug →
ancient	11–13	-0.09	22%	16 Aug →
dust2	14–16	-0.04	14%	15 Aug →
cache	13–9	0.06	16%	15 Aug →
ancient	8–13	-0.04	11%	14 Aug →
mirage	3–13	-0.02	16%	14 Aug →
dust2	9–13	0.00	13%	14 Aug →
cache	7–13	-0.06	18%	14 Aug →
cache	4–13	-0.01	22%	8 Aug →
anubis	7–13	-0.01	12%	8 Aug →
dust2	11–13	-0.03	13%	3 Aug →
dust2	4–13	-0.08	42%	3 Aug →
anubis	10–13	0.02	22%	1 Aug →
anubis	13–9	0.04	20%	1 Aug →
dust2	11–13	-0.07	19%	31 Jul →
inferno	11–13	-0.02	20%	31 Jul →
cache	10–13	0.03	13%	30 Jul →
dust2	3–13	-0.08	15%	30 Jul →
mirage	15–15	0.01	15%	29 Jul →
dust2	13–3	0.06	16%	27 Jul →
mirage	9–13	0.07	11%	27 Jul →
ancient	13–6	0.12	17%	27 Jul →
dust2	16–14	-0.02	14%	27 Jul →
dust2	2–13	-0.05	20%	25 Jul →
ancient	13–11	-0.05	2%	25 Jul →
mirage	6–13	-0.04	13%	24 Jul →
dust2	6–13	-0.04	18%	24 Jul →
mirage	2–13	-0.01	27%	23 Jul →
dust2	8–13	-0.00	26%	23 Jul →
anubis	4–13	-0.04	30%	23 Jul →
inferno	13–4	0.06	13%	23 Jul →
nuke	7–13	-0.05	16%	23 Jul →
mirage	9–13	-0.01	15%	23 Jul →
dust2	3–13	-0.07	23%	23 Jul →
cache	13–6	0.02	27%	23 Jul →
anubis	13–10	0.05	8%	23 Jul →
nuke	16–13	-0.06	15%	23 Jul →
dust2	6–13	0.01	19%	22 Jul →
nuke	13–9	0.08	31%	22 Jul →
cache	13–8	0.01	18%	22 Jul →
anubis	14–16	0.02	15%	22 Jul →
mirage	11–13	0.01	13%	22 Jul →
dust2	8–13	-0.04	8%	21 Jul →
mirage	15–15	0.04	16%	21 Jul →
dust2	8–13	-0.02	24%	21 Jul →
ancient	2–13	-0.02	18%	17 Jul →
dust2	3–13	-0.01	20%	17 Jul →
inferno	11–13	-0.08	17%	17 Jul →
inferno	13–1	0.14	10%	16 Jul →
mirage	6–13	-0.01	13%	16 Jul →
dust2	13–8	-0.01	15%	16 Jul →
nuke	13–4	-0.02	20%	16 Jul →
ancient	13–11	0.08	18%	16 Jul →
dust2	13–7	0.02	14%	16 Jul →
mirage	9–13	-0.05	10%	16 Jul →
cache	15–15	0.03	12%	15 Jul →
dust2	13–3	0.11	24%	15 Jul →
nuke	13–5	0.08	12%	15 Jul →
mirage	13–10	-0.00	19%	15 Jul →
cache	13–8	0.02	21%	15 Jul →
dust2	1–13	-0.06	27%	15 Jul →
mirage	13–11	0.02	16%	11 Jul →
cache	16–13	-0.03	12%	11 Jul →
ancient	7–13	-0.06	13%	11 Jul →
nuke	15–15	0.02	27%	10 Jul →
inferno	13–5	0.03	29%	9 Jul →
nuke	13–10	0.05	16%	9 Jul →
mirage	13–8	0.05	17%	9 Jul →
ancient	13–6	0.09	22%	9 Jul →
dust2	13–4	0.11	26%	9 Jul →
mirage	5–13	-0.06	17%	9 Jul →
anubis	13–5	-0.05	5%	8 Jul →
dust2	13–4	-0.03	14%	7 Jul →
anubis	13–5	0.06	15%	5 Jul →
overpass	13–3	0.13	25%	4 Jul →
anubis	11–13	0.04	21%	4 Jul →
inferno	10–13	-0.05	15%	4 Jul →
anubis	2–13	-0.06	10%	4 Jul →
ancient	13–3	0.06	19%	4 Jul →
mirage	9–13	-0.01	14%	4 Jul →
dust2	6–13	-0.04	20%	4 Jul →
nuke	13–11	0.02	21%	3 Jul →
dust2	13–11	0.05	21%	3 Jul →
ancient	7–13	0.03	19%	3 Jul →
overpass	13–10	0.09	16%	1 Jul →