† _[A]rgon 乡 — CS2 Stats

SE76561198175976555[U:1:215710827]Steam profile ↗✓ No bans

3,040Tracked matches67%Win rate2021Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating25,000Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2896 of 19544 tracked

FaceitLevel 7 · 1,824 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning64

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY60–40Last 10060%Win rateWLWLWLWWLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.0

Aggression6.5

Utility4.9

Positioning6.4

Opening Duels2.3

Clutch3.8

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 iM 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower 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

Areas to improve

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

T-side openings. Opening success drops from 54% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim8.0

Positioning6.4

Utility4.9

Mechanics5.9

Opening Duels3.0

Win Impact10.0

Composite 6.9/10 (Solid), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time595ms−30ms

first ⅓ avg 624ms → last ⅓ avg 595ms

Headshot accuracy25.4%+2.1%

first ⅓ avg 23.3% → last ⅓ avg 25.4%

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

0.12Best rating — cache 13–2

13–0Biggest win — inferno

6Longest win streak

10–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 76% over 25mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	15–10	60%	0.01
inferno	S	25	19–6	76%	-0.01
ancient	B	23	12–11	52%	-0.01
nuke	A	15	9–6	60%	-0.01
cache	S	6	4–2	67%	0.03
mirage	D	5	1–4	20%	-0.04
overpass	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,509Matches

49%Win rate

0.96Avg K/D

77.3ADR

51%Headshot %

Clutches & streaks

39%1v1 clutch win

14%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	229	39%	0.86	14.1
Inferno	202	61%	1.04	16.0
Ancient	183	52%	0.94	15.8
Anubis	127	46%	0.95	15.2
Nuke	80	51%	0.97	15.9
Dust2	70	40%	0.92	14.9
Vertigo	13	38%	0.81	14.8
Train	7	57%	0.72	15.6

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.

24.7%Headshot accuracy

37.0%Accuracy (enemy spotted)

39.0%Spray accuracy

76.4%Counter-strafing

9.7°Preaim

583msReaction time

24.7%T opening success

54.0%CT opening success

0.55Enemies flashed / flash

7.8%Flash assists

10.36HE damage / grenade

5.70Flashes / 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 24.662% — 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.

20% win rate across 5 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
dust2	19–15	0.00	24%	28 Aug →
dust2	11–13	-0.02	24%	28 Aug →
nuke	13–9	-0.00	22%	28 Aug →
inferno	11–13	-0.01	17%	27 Aug →
dust2	13–10	0.01	29%	27 Aug →
ancient	8–13	-0.02	22%	26 Aug →
mirage	13–5	-0.04	35%	25 Aug →
ancient	13–5	-0.01	20%	24 Aug →
cache	11–13	0.02	28%	24 Aug →
dust2	13–11	-0.03	22%	24 Aug →
nuke	13–7	-0.02	28%	23 Aug →
mirage	1–13	-0.06	38%	22 Aug →
cache	13–5	-0.06	27%	22 Aug →
inferno	13–11	-0.05	21%	22 Aug →
inferno	2–13	0.01	15%	21 Aug →
nuke	13–4	0.05	21%	21 Aug →
inferno	13–7	-0.02	12%	21 Aug →
inferno	13–10	-0.01	23%	15 Aug →
ancient	13–8	0.01	16%	15 Aug →
inferno	10–13	-0.05	38%	14 Aug →
ancient	13–8	0.04	31%	14 Aug →
cache	13–1	0.10	29%	14 Aug →
ancient	13–9	0.01	18%	14 Aug →
inferno	13–10	0.03	18%	14 Aug →
ancient	0–3	-0.13	50%	11 Aug →
ancient	13–10	-0.03	26%	10 Aug →
dust2	13–10	0.07	31%	9 Aug →
cache	13–2	0.12	36%	9 Aug →
dust2	3–13	0.02	28%	9 Aug →
ancient	8–13	-0.06	21%	8 Aug →
nuke	11–13	-0.03	18%	7 Aug →
cache	13–16	-0.01	26%	6 Aug →
nuke	13–10	-0.02	26%	4 Aug →
mirage	2–13	-0.03	40%	4 Aug →
dust2	13–11	0.07	24%	1 Aug →
inferno	13–3	-0.00	22%	1 Aug →
nuke	13–9	0.04	27%	31 Jul →
dust2	13–4	0.02	17%	31 Jul →
ancient	8–13	-0.01	32%	31 Jul →
ancient	2–13	-0.03	42%	30 Jul →
inferno	13–10	-0.03	24%	30 Jul →
ancient	13–3	0.01	43%	30 Jul →
inferno	13–6	0.00	25%	29 Jul →
nuke	1–4	-0.08	10%	27 Jul →
ancient	13–16	-0.02	10%	25 Jul →
inferno	13–10	-0.00	12%	24 Jul →
ancient	13–2	0.03	16%	24 Jul →
dust2	16–14	-0.04	14%	24 Jul →
inferno	13–3	-0.01	30%	24 Jul →
ancient	13–8	0.01	39%	23 Jul →
dust2	13–9	-0.01	26%	23 Jul →
nuke	3–4	-0.06	11%	22 Jul →
inferno	13–8	0.02	28%	21 Jul →
inferno	13–10	0.01	24%	21 Jul →
nuke	13–2	0.01	20%	21 Jul →
inferno	13–9	0.06	17%	18 Jul →
dust2	4–13	0.01	33%	17 Jul →
inferno	0–8	-0.04	12%	15 Jul →
inferno	11–13	-0.03	20%	14 Jul →
dust2	9–13	-0.03	22%	10 Jul →
cache	13–9	0.02	18%	8 Jul →
ancient	13–10	-0.06	18%	4 Jul →
ancient	9–13	0.03	24%	3 Jul →
nuke	9–13	-0.08	10%	27 Jun →
dust2	4–13	-0.03	26%	26 Jun →
dust2	13–6	-0.04	25%	26 Jun →
ancient	13–9	0.02	32%	25 Jun →
ancient	13–10	0.01	22%	24 Jun →
nuke	13–3	0.05	26%	13 Jun →
ancient	0–5	-0.07	17%	12 Jun →
mirage	9–13	-0.08	22%	11 Jun →
inferno	13–11	-0.08	13%	9 Jun →
inferno	16–14	-0.01	26%	8 Jun →
dust2	16–14	-0.01	24%	6 Jun →
overpass	2–13	-0.09	4%	6 Jun →
ancient	8–13	-0.05	18%	5 Jun →
nuke	0–6	-0.07	40%	5 Jun →
dust2	14–16	0.05	33%	4 Jun →
nuke	5–13	-0.01	32%	3 Jun →
dust2	13–8	-0.03	27%	3 Jun →
dust2	4–13	0.03	21%	3 Jun →
nuke	13–5	-0.01	20%	2 Jun →
dust2	13–16	-0.04	35%	1 Jun →
inferno	13–11	-0.05	38%	1 Jun →
ancient	12–16	-0.04	13%	31 May →
dust2	9–13	0.06	18%	31 May →
inferno	13–6	0.06	24%	31 May →
inferno	13–11	-0.01	9%	31 May →
dust2	13–8	0.06	38%	31 May →
inferno	13–0	-0.03	25%	30 May →
dust2	13–9	0.00	27%	30 May →
dust2	9–13	-0.01	19%	30 May →
ancient	13–9	0.06	25%	28 May →
dust2	13–7	0.01	15%	28 May →
mirage	6–13	0.02	32%	27 May →
nuke	13–9	0.02	24%	27 May →
dust2	13–9	0.06	27%	27 May →
inferno	16–14	0.03	22%	26 May →
inferno	6–13	-0.03	23%	26 May →
ancient	10–13	-0.04	13%	25 May →