ARTHUR — CS2 Stats

76561199387475278[U:1:1427209550]Steam profile ↗community banned

2,589Tracked matches50%Win rate2023Tracked since

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating26,473Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1878 of 27456 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning59

Utility78

0–100 skill scores via Leetify.

Recent form

COLD62–38Last 10062%Win rateWLLLLLLWLW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim8.9

Aggression9.0

Utility7.8

Positioning5.9

Opening Duels5.4

Sharp aimerHigh utility contribution

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 jL 92% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: higher opening-duel success.

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 89 — the mechanical foundation is a clear strength.

Utility. Utility score of 78 — grenade impact well above the norm.

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

Aim8.9

Positioning5.9

Utility7.8

Mechanics7.0

Opening Duels5.4

Win Impact5.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time546ms−13ms

first ⅓ avg 559ms → last ⅓ avg 546ms

Headshot accuracy24.4%+2.1%

first ⅓ avg 22.2% → last ⅓ avg 24.4%

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

0.30Best rating — anubis 13–0

13–0Biggest win — anubis

25Longest win streak

12–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

trainBest map · 86% over 7ancientWeakest map · 54% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	14–8	64%	0.04
dust2	A	21	12–9	57%	0.03
anubis	A	21	13–8	62%	0.04
ancient	B	13	7–6	54%	0.02
inferno	S	11	9–2	82%	0.04
train	S	7	6–1	86%	0.08
overpass	—	2	0–2	0%	0.02
agency	—	1	0–1	0%	-0.14
jura	—	1	0–1	0%	-0.03
nuke	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (54% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.3%Headshot accuracy

37.8%Accuracy (enemy spotted)

42.1%Spray accuracy

81.5%Counter-strafing

8.8°Preaim

543msReaction time

45.0%T opening success

58.2%CT opening success

0.64Enemies flashed / flash

9.1%Flash assists

12.41HE damage / grenade

8.59Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–3	0.02	18%	10 Aug →
dust2	6–13	-0.03	21%	4 Aug →
overpass	5–13	0.01	21%	4 Aug →
mirage	7–13	0.02	24%	3 Aug →
dust2	0–3	-0.07	0%	3 Aug →
mirage	3–6	-0.04	24%	1 Aug →
mirage	1–9	-0.01	24%	31 Jul →
dust2	13–2	0.03	49%	31 Jul →
overpass	10–13	0.02	35%	31 Jul →
dust2	13–10	0.03	27%	31 Jul →
dust2	3–13	-0.08	21%	30 Jul →
ancient	13–5	0.02	26%	29 Jul →
train	13–10	0.01	18%	29 Jul →
inferno	13–8	-0.01	23%	26 Jul →
ancient	13–2	0.00	17%	25 Jul →
inferno	13–5	0.01	20%	25 Jul →
inferno	14–16	-0.03	18%	27 Jun →
mirage	10–13	0.07	33%	27 Jun →
ancient	9–13	0.02	30%	27 Jun →
ancient	13–2	0.10	13%	27 Jun →
train	28–31	0.07	29%	26 Jun →
dust2	5–13	-0.03	35%	26 Jun →
anubis	13–0	0.30	25%	19 Jun →
inferno	13–5	0.23	29%	9 Jun →
inferno	13–11	0.07	24%	9 Jun →
ancient	6–13	-0.02	20%	8 Jun →
train	13–5	0.13	33%	6 Jun →
dust2	10–13	0.08	29%	1 Jun →
dust2	13–5	0.13	18%	31 May →
anubis	13–4	0.03	27%	31 May →
ancient	11–13	-0.02	25%	29 May →
dust2	13–10	0.04	27%	28 May →
inferno	8–13	-0.02	24%	26 May →
ancient	6–13	-0.01	24%	25 May →
ancient	10–13	0.05	15%	22 May →
anubis	10–13	-0.01	22%	21 May →
agency	1–2	-0.14	0%	21 May →
jura	0–13	-0.03	27%	21 May →
mirage	13–16	0.01	25%	19 May →
anubis	13–6	0.08	28%	19 May →
mirage	13–11	0.07	24%	17 May →
anubis	13–11	0.03	16%	17 May →
anubis	9–13	-0.02	18%	15 May →
anubis	9–13	0.07	25%	13 May →
dust2	13–5	0.16	34%	13 May →
anubis	13–9	-0.01	34%	12 May →
anubis	11–13	-0.01	21%	11 May →
inferno	13–10	0.04	12%	11 May →
nuke	13–8	0.06	23%	11 May →
anubis	10–13	-0.06	30%	10 May →
train	13–3	0.15	40%	10 May →
mirage	6–13	0.05	41%	10 May →
anubis	10–13	-0.01	18%	7 May →
ancient	13–16	0.01	16%	6 May →
anubis	13–11	0.01	19%	5 May →
inferno	16–13	-0.02	19%	5 May →
mirage	10–13	-0.01	15%	1 May →
anubis	16–14	0.04	14%	1 May →
anubis	13–7	0.06	19%	1 May →
dust2	13–11	-0.02	29%	29 Apr →
train	13–11	-0.01	18%	29 Apr →
dust2	7–13	0.02	24%	28 Apr →
inferno	13–5	0.07	17%	18 Apr →
anubis	13–3	0.05	19%	15 Apr →
dust2	13–4	0.09	24%	15 Apr →
dust2	10–13	0.02	18%	14 Apr →
ancient	13–7	-0.02	16%	13 Apr →
mirage	13–11	0.07	25%	13 Apr →
anubis	13–16	-0.00	17%	8 Apr →
mirage	13–10	0.04	15%	5 Apr →
dust2	13–9	0.12	22%	5 Apr →
anubis	13–11	0.05	7%	5 Apr →
ancient	19–17	0.04	15%	2 Apr →
dust2	13–5	0.03	13%	1 Apr →
anubis	13–10	0.02	15%	1 Apr →
mirage	13–8	-0.02	42%	1 Apr →
mirage	13–4	0.05	33%	31 Mar →
mirage	13–5	-0.00	12%	31 Mar →
mirage	13–3	0.04	18%	25 Mar →
inferno	13–9	0.06	29%	20 Mar →
dust2	13–10	-0.03	18%	20 Mar →
train	16–14	0.11	29%	16 Mar →
mirage	13–10	0.06	20%	16 Mar →
mirage	16–14	0.08	18%	9 Mar →
mirage	13–6	0.13	20%	9 Mar →
anubis	13–3	0.05	27%	9 Mar →
mirage	13–6	0.01	16%	6 Mar →
mirage	13–8	0.06	23%	5 Mar →
ancient	13–6	0.07	22%	5 Mar →
mirage	13–1	0.18	28%	5 Mar →
dust2	13–2	0.13	29%	5 Mar →
mirage	13–10	0.12	16%	28 Feb →
anubis	13–9	0.13	38%	28 Feb →
dust2	13–4	0.03	22%	28 Feb →
mirage	6–13	-0.03	27%	28 Feb →
train	13–1	0.06	34%	25 Feb →
dust2	2–13	-0.07	24%	25 Feb →
inferno	13–10	0.05	18%	24 Feb →
dust2	11–13	-0.00	13%	24 Feb →
anubis	8–13	-0.02	27%	22 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches25-Win Streak

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