Arkyn — CS2 Stats

76561197960393469[U:1:127741]Steam profile ↗✓ No bans

4,833Tracked matches57%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating22,027Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#12337 of 44783 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning44

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWLWLWWWWLL

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

Aggression5.1

Utility5.8

Positioning4.4

Opening Duels2.1

Clutch3.0

Limited utility dependence

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 89% playstyle similarity

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

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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 593ms 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

Positioning4.4

Utility5.8

Mechanics7.5

Opening Duels2.1

Win Impact7.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time599ms−7ms

first ⅓ avg 605ms → last ⅓ avg 599ms

Headshot accuracy27.0%+2.8%

first ⅓ avg 24.2% → last ⅓ avg 27.0%

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 13–0

13–0Biggest win — inferno

6Longest win streak

6–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 77% over 13dust2Weakest map · 43% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	-0.01
anubis	S	15	10–5	67%	-0.01
inferno	B	15	8–7	53%	-0.00
ancient	B	15	7–8	47%	-0.02
nuke	S	13	10–3	77%	0.00
cache	A	11	7–4	64%	-0.01
overpass	S	6	4–2	67%	-0.01
mirage	—	3	2–1	67%	0.04
vertigo	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,016Matches

51%Win rate

1.01Avg K/D

71.9ADR

53%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	217	50%	0.97	14.5
Anubis	215	50%	0.96	14.4
Nuke	204	54%	0.98	14.0
Mirage	177	38%	0.82	13.2
Inferno	141	51%	1.00	15.2
Dust2	104	53%	1.00	14.4
Overpass	86	62%	0.97	14.4
Train	81	59%	1.04	14.5

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.

26.8%Headshot accuracy

30.5%Accuracy (enemy spotted)

34.9%Spray accuracy

83.8%Counter-strafing

9.5°Preaim

593msReaction time

33.9%T opening success

42.7%CT opening success

0.56Enemies flashed / flash

8.1%Flash assists

11.76HE damage / grenade

4.24Flashes / 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 33.9103% — 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.

43% win rate across 21 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
nuke	16–12	-0.03	15%	24 Aug →
dust2	7–13	-0.04	29%	24 Aug →
cache	13–7	0.03	27%	24 Aug →
nuke	5–13	-0.05	29%	19 Aug →
anubis	16–13	0.01	21%	19 Aug →
cache	13–11	0.03	31%	13 Aug →
cache	13–3	0.05	28%	13 Aug →
dust2	13–5	-0.02	26%	13 Aug →
vertigo	9–13	-0.02	44%	12 Aug →
dust2	5–13	-0.03	18%	12 Aug →
cache	13–10	-0.04	21%	12 Aug →
mirage	10–13	0.02	38%	11 Aug →
inferno	13–9	-0.01	21%	11 Aug →
dust2	13–4	-0.07	21%	11 Aug →
dust2	11–13	-0.05	19%	10 Aug →
anubis	14–16	-0.02	23%	10 Aug →
cache	7–13	-0.05	18%	5 Aug →
anubis	8–13	-0.06	26%	5 Aug →
dust2	13–6	0.06	43%	5 Aug →
cache	13–2	-0.00	15%	3 Aug →
inferno	13–9	-0.07	52%	3 Aug →
inferno	9–13	-0.01	29%	28 Jul →
dust2	13–7	0.00	22%	28 Jul →
ancient	4–13	-0.06	38%	28 Jul →
anubis	13–7	0.04	28%	28 Jul →
nuke	13–4	0.09	23%	28 Jul →
inferno	13–8	-0.00	18%	19 Jul →
dust2	13–7	0.06	31%	19 Jul →
anubis	2–13	-0.02	35%	19 Jul →
dust2	7–13	-0.02	21%	19 Jul →
nuke	13–10	0.02	34%	14 Jul →
nuke	16–12	-0.07	20%	13 Jul →
dust2	13–5	0.06	29%	13 Jul →
ancient	13–5	0.00	25%	11 Jul →
mirage	13–8	0.05	30%	10 Jul →
dust2	3–13	-0.01	45%	10 Jul →
inferno	9–13	-0.01	21%	10 Jul →
anubis	5–13	-0.07	23%	10 Jul →
nuke	13–5	0.06	50%	10 Jul →
cache	8–4	-0.05	24%	10 Jul →
ancient	8–13	-0.05	28%	9 Jul →
anubis	13–11	-0.02	32%	28 Jun →
ancient	14–16	-0.06	24%	28 Jun →
ancient	0–13	-0.06	29%	28 Jun →
anubis	9–13	-0.10	16%	28 Jun →
cache	16–19	-0.01	29%	28 Jun →
dust2	13–6	0.06	17%	22 Jun →
ancient	13–9	-0.01	22%	22 Jun →
cache	3–13	0.01	31%	22 Jun →
cache	9–13	-0.06	14%	21 Jun →
overpass	13–6	0.01	17%	21 Jun →
dust2	9–13	-0.04	19%	20 Jun →
anubis	13–10	-0.02	19%	20 Jun →
overpass	13–16	-0.02	23%	18 Jun →
dust2	16–13	-0.03	36%	17 Jun →
dust2	3–13	0.02	29%	17 Jun →
nuke	8–13	0.00	30%	17 Jun →
inferno	13–5	0.09	35%	17 Jun →
ancient	10–13	0.01	13%	16 Jun →
inferno	13–0	0.14	36%	16 Jun →
nuke	13–8	-0.01	16%	13 Jun →
anubis	13–8	0.10	33%	13 Jun →
dust2	9–13	-0.02	21%	7 Jun →
mirage	13–1	0.04	31%	7 Jun →
ancient	13–11	0.00	24%	7 Jun →
inferno	13–8	-0.00	22%	28 May →
nuke	13–9	-0.01	17%	26 May →
dust2	8–13	-0.11	8%	26 May →
inferno	1–13	-0.01	41%	26 May →
ancient	10–3	-0.02	33%	26 May →
inferno	13–5	-0.01	31%	17 May →
nuke	13–2	0.04	19%	17 May →
nuke	13–3	0.03	45%	10 May →
nuke	13–11	-0.04	30%	10 May →
cache	13–10	-0.00	35%	10 May →
dust2	7–13	0.01	29%	9 May →
inferno	3–13	-0.07	22%	9 May →
overpass	13–10	-0.01	26%	8 May →
anubis	13–9	0.05	28%	7 May →
nuke	10–13	0.01	26%	6 May →
ancient	19–22	-0.00	18%	6 May →
ancient	13–3	0.01	24%	1 May →
ancient	11–13	-0.06	10%	29 Apr →
dust2	8–13	0.01	24%	23 Apr →
anubis	13–11	-0.02	15%	22 Apr →
inferno	9–13	-0.05	29%	21 Apr →
anubis	13–6	-0.00	8%	21 Apr →
dust2	3–13	-0.07	39%	21 Apr →
inferno	4–13	0.01	26%	21 Apr →
anubis	13–9	-0.04	9%	20 Apr →
overpass	13–10	-0.05	13%	20 Apr →
inferno	1–9	-0.03	17%	20 Apr →
inferno	13–8	-0.00	17%	19 Apr →
ancient	11–13	-0.01	24%	19 Apr →
ancient	13–2	-0.01	23%	19 Apr →
anubis	13–1	0.03	33%	16 Apr →
overpass	13–9	0.06	30%	16 Apr →
dust2	13–11	0.07	20%	16 Apr →
overpass	6–13	-0.03	30%	16 Apr →
ancient	13–7	-0.06	15%	11 Apr →