ARKY420 — CS2 Stats

76561198069345577[U:1:109079849]✓ No bans

765Tracked matches62%Win rate2020Tracked since

CSDB Rating4.3 Developing

Premier CS Rating14,598Blue band · top ~30.5% of ranked players (population est.)

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning43

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWWLWWWWLLL

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

Player DNA

Aim3.9

Aggression5.3

Utility5.7

Positioning4.3

Opening Duels1.3

Clutch1.0

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9

Positioning4.3

Utility5.7

Mechanics4.4

Opening Duels1.3

Win Impact9.0

Composite 4.3/10 (Developing), 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-0.01−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time619ms+3ms

first ⅓ avg 616ms → last ⅓ avg 619ms

Headshot accuracy13.8%+2.2%

first ⅓ avg 11.6% → last ⅓ avg 13.8%

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

0.12Best rating — cache 13–3

13–2Biggest win — inferno

4Longest win streak

W2Current streak

10–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 69% over 13anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	15–11	58%	-0.00
inferno	B	26	12–14	46%	-0.02
mirage	S	20	13–7	65%	-0.01
ancient	S	13	9–4	69%	-0.00
anubis	D	7	2–5	29%	0.00
cache	D	6	2–4	33%	0.01
nuke	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

190Matches

47%Win rate

0.83Avg K/D

90.3ADR

39%Headshot %

Clutches & streaks

25%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	83%	0.96	13.3
Mirage	6	50%	0.90	15.3
Dust2	3	33%	1.17	12.7
Ancient	1	0%	0.81	21.0

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.

13.8%Headshot accuracy

30.1%Accuracy (enemy spotted)

32.7%Spray accuracy

69.7%Counter-strafing

11.0°Preaim

621msReaction time

39.8%T opening success

30.6%CT opening success

0.82Enemies flashed / flash

3.4%Flash assists

9.12HE damage / grenade

14.20Flashes / 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 13.7683% — 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 39.8472% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	-0.05	11%	18 Aug →
inferno	13–3	0.02	15%	18 Aug →
mirage	12–16	-0.03	17%	13 Aug →
dust2	13–11	0.05	16%	12 Aug →
inferno	13–11	-0.04	21%	12 Aug →
ancient	13–9	0.01	12%	12 Aug →
inferno	13–3	-0.02	26%	10 Aug →
dust2	3–13	-0.00	9%	10 Aug →
inferno	3–13	-0.05	14%	10 Aug →
mirage	11–13	-0.03	4%	10 Aug →
ancient	13–9	-0.01	20%	8 Aug →
dust2	15–15	-0.06	20%	8 Aug →
ancient	13–5	0.02	15%	7 Aug →
mirage	13–7	-0.00	17%	7 Aug →
mirage	13–9	-0.02	18%	7 Aug →
inferno	13–2	0.06	18%	6 Aug →
dust2	6–13	-0.10	6%	6 Aug →
anubis	11–13	-0.03	15%	5 Aug →
ancient	13–10	-0.01	10%	5 Aug →
mirage	13–7	0.04	13%	5 Aug →
dust2	11–13	-0.02	5%	4 Aug →
ancient	13–9	0.05	17%	3 Aug →
dust2	13–11	-0.05	10%	3 Aug →
mirage	5–13	-0.07	14%	3 Aug →
dust2	13–9	-0.00	17%	2 Aug →
inferno	6–13	-0.07	8%	2 Aug →
ancient	5–13	-0.11	3%	2 Aug →
inferno	13–10	-0.04	10%	1 Aug →
inferno	13–7	0.05	18%	31 Jul →
cache	9–13	-0.06	14%	31 Jul →
dust2	13–6	0.02	22%	31 Jul →
inferno	13–11	-0.00	11%	31 Jul →
mirage	13–3	0.07	10%	31 Jul →
inferno	12–8	0.00	20%	30 Jul →
dust2	10–13	-0.06	17%	30 Jul →
nuke	13–9	0.03	20%	30 Jul →
inferno	13–8	0.01	14%	30 Jul →
nuke	13–7	0.03	13%	30 Jul →
mirage	13–7	0.00	10%	29 Jul →
dust2	15–15	0.04	10%	29 Jul →
cache	13–8	-0.01	14%	29 Jul →
inferno	4–13	-0.01	15%	29 Jul →
inferno	7–13	-0.08	8%	29 Jul →
inferno	13–10	0.03	17%	29 Jul →
inferno	11–13	-0.00	20%	29 Jul →
mirage	13–6	-0.06	19%	29 Jul →
dust2	13–7	0.06	14%	28 Jul →
ancient	13–2	0.06	12%	28 Jul →
mirage	13–9	0.04	13%	28 Jul →
mirage	8–13	-0.03	10%	28 Jul →
cache	13–16	0.04	11%	27 Jul →
cache	13–3	0.12	9%	27 Jul →
dust2	13–4	-0.02	0%	27 Jul →
ancient	13–11	0.01	12%	27 Jul →
dust2	7–13	-0.05	14%	26 Jul →
dust2	8–13	0.04	15%	26 Jul →
mirage	6–13	-0.04	9%	26 Jul →
dust2	6–13	0.07	17%	25 Jul →
mirage	13–11	-0.00	10%	25 Jul →
inferno	13–5	-0.01	11%	25 Jul →
anubis	4–13	-0.04	8%	25 Jul →
dust2	6–13	-0.03	2%	25 Jul →
ancient	13–5	-0.04	8%	23 Jul →
mirage	13–8	0.04	9%	23 Jul →
dust2	14–16	0.00	9%	23 Jul →
inferno	3–9	-0.17	4%	23 Jul →
anubis	13–8	0.00	10%	18 Jul →
inferno	6–13	-0.09	5%	18 Jul →
mirage	13–11	-0.04	13%	18 Jul →
ancient	4–13	-0.08	8%	18 Jul →
dust2	13–11	-0.04	15%	17 Jul →
dust2	13–8	-0.05	5%	17 Jul →
mirage	13–8	-0.01	6%	17 Jul →
inferno	9–13	-0.05	9%	17 Jul →
dust2	13–11	-0.02	7%	17 Jul →
anubis	13–7	0.11	20%	16 Jul →
inferno	15–15	-0.04	5%	16 Jul →
inferno	13–5	0.01	12%	14 Jul →
dust2	13–9	0.02	14%	14 Jul →
inferno	14–16	0.01	8%	14 Jul →
dust2	16–12	0.01	12%	14 Jul →
anubis	9–13	0.02	9%	14 Jul →
cache	10–13	0.04	21%	13 Jul →
inferno	15–15	0.07	13%	13 Jul →
dust2	13–4	-0.01	11%	13 Jul →
mirage	9–13	-0.03	19%	13 Jul →
mirage	4–13	-0.02	11%	13 Jul →
inferno	6–13	0.01	9%	9 Jul →
inferno	9–13	0.03	16%	9 Jul →
dust2	13–8	0.12	22%	9 Jul →
cache	5–13	-0.08	11%	9 Jul →
mirage	13–5	-0.00	10%	9 Jul →
inferno	1–13	-0.10	3%	9 Jul →
ancient	6–13	0.03	12%	29 Jun →
dust2	13–11	0.01	15%	29 Jun →
mirage	13–9	0.02	8%	29 Jun →
ancient	7–13	-0.01	16%	29 Jun →
anubis	4–13	-0.05	9%	28 Jun →
anubis	14–16	0.00	13%	26 Jun →
ancient	13–9	0.02	17%	26 Jun →