simon666 — CS2 Stats

76561199038426882[U:1:1078161154]Steam profile ↗✓ No bans

581Tracked matches43%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWLLWWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

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

Aim9.2

Aggression5.5

Utility5.1

Positioning4.8

Opening Duels0.6

Clutch4.8

Sharp aimerExcellent counter-strafing

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: aim profile, opening-fight frequency.

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 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

Reaction time. 621ms 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

Aim9.2

Positioning4.8

Utility5.1

Mechanics8.8

Opening Duels1.0

Win Impact2.8

Composite 6.2/10 (Solid), 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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time629ms+16ms

first ⅓ avg 613ms → last ⅓ avg 629ms

Headshot accuracy30.3%−0.4%

first ⅓ avg 30.7% → last ⅓ avg 30.3%

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

0.28Best rating — dust2 13–4

13–0Biggest win — ancient

5Longest win streak

6–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 54% over 13dust2Weakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.03
dust2	C	16	6–10	38%	0.04
ancient	B	13	7–6	54%	0.02
nuke	B	13	7–6	54%	0.04
inferno	C	13	5–8	38%	0.05
anubis	C	5	2–3	40%	-0.02
overpass	C	5	2–3	40%	0.04
office	—	4	1–3	25%	0.01
cache	—	2	0–2	0%	0.03
stronghold	—	1	0–1	0%	-0.02
italy	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

249Matches

58%Win rate

1.31Avg K/D

79.8ADR

52%Headshot %

Clutches & streaks

44%1v1 clutch win

36%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	65%	1.26	16.1
Dust2	11	55%	1.51	17.4
Anubis	10	40%	1.08	16.0
Vertigo	5	60%	1.20	19.4
Ancient	5	60%	0.98	19.6
Inferno	5	60%	1.44	19.2
Nuke	3	67%	1.16	15.0
Train	1	0%	1.12	18.0

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.

30.1%Headshot accuracy

38.3%Accuracy (enemy spotted)

42.8%Spray accuracy

89.6%Counter-strafing

8.4°Preaim

621msReaction time

38.2%T opening success

26.8%CT opening success

0.61Enemies flashed / flash

6.7%Flash assists

8.43HE damage / grenade

6.21Flashes / 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 38.2166% — 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.

38% win rate across 16 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
dust2	13–5	0.07	32%	27 Aug →
ancient	14–16	0.04	26%	12 Jul →
mirage	7–13	0.00	43%	12 Jul →
ancient	13–0	0.01	46%	10 Jul →
dust2	13–9	0.00	25%	10 Jul →
nuke	13–5	0.05	25%	10 Jul →
inferno	13–2	0.13	24%	10 Jul →
anubis	11–13	-0.03	26%	9 Jul →
nuke	13–4	0.06	33%	9 Jul →
mirage	7–13	0.07	27%	9 Jul →
cache	9–13	0.08	28%	9 Jul →
mirage	7–13	-0.00	21%	5 Jul →
mirage	4–13	0.02	15%	5 Jul →
mirage	13–9	0.02	38%	5 Jul →
nuke	13–7	-0.05	20%	5 Jul →
anubis	6–13	-0.06	32%	5 Jul →
mirage	3–13	-0.03	25%	5 Jul →
dust2	7–13	0.04	23%	4 Jul →
inferno	4–13	-0.05	38%	1 Jul →
ancient	13–4	0.03	63%	1 Jul →
overpass	7–13	0.05	26%	30 Jun →
ancient	10–13	0.01	34%	29 Jun →
nuke	13–8	0.00	47%	29 Jun →
overpass	9–13	0.08	30%	28 Jun →
inferno	9–0	0.01	25%	28 Jun →
anubis	2–13	-0.01	26%	27 Jun →
ancient	13–2	0.05	33%	27 Jun →
inferno	7–13	0.07	31%	26 Jun →
mirage	2–13	0.03	25%	26 Jun →
mirage	13–11	0.02	18%	26 Jun →
mirage	7–5	0.11	36%	26 Jun →
mirage	6–13	-0.00	27%	26 Jun →
nuke	9–6	0.08	29%	25 Jun →
mirage	13–9	0.01	20%	24 Jun →
anubis	13–7	-0.01	27%	24 Jun →
inferno	7–9	0.11	29%	23 Jun →
ancient	16–14	0.03	18%	16 Jun →
inferno	4–9	-0.03	30%	14 Jun →
ancient	7–13	-0.04	16%	14 Jun →
nuke	15–15	0.05	34%	13 Jun →
inferno	14–16	-0.01	53%	11 Jun →
ancient	13–7	-0.04	33%	10 Jun →
ancient	13–9	-0.01	30%	10 Jun →
mirage	13–10	0.06	24%	7 Jun →
ancient	13–2	0.00	27%	5 Jun →
inferno	13–5	0.05	36%	5 Jun →
dust2	10–13	0.02	41%	5 Jun →
mirage	2–13	-0.06	31%	4 Jun →
nuke	5–13	0.03	38%	4 Jun →
mirage	13–8	0.04	32%	3 Jun →
mirage	13–9	0.11	26%	3 Jun →
dust2	13–4	-0.01	28%	2 Jun →
ancient	15–15	0.02	21%	1 Jun →
dust2	13–4	0.28	22%	31 May →
mirage	9–13	0.10	31%	31 May →
anubis	13–8	0.01	31%	29 May →
cache	7–13	-0.02	23%	25 May →
office	10–13	0.03	33%	18 May →
office	3–13	-0.07	22%	18 May →
office	6–13	0.02	52%	15 May →
office	13–7	0.06	30%	15 May →
dust2	12–12	0.02	24%	28 Feb →
dust2	13–11	0.03	35%	28 Feb →
mirage	9–13	0.06	41%	28 Feb →
mirage	9–13	0.07	32%	27 Feb →
ancient	4–13	0.02	32%	27 Feb →
nuke	7–13	0.06	27%	27 Feb →
mirage	8–13	-0.02	43%	27 Feb →
dust2	13–9	0.09	24%	26 Feb →
mirage	13–11	0.02	35%	26 Feb →
dust2	7–13	0.02	35%	24 Feb →
inferno	9–13	0.09	32%	24 Feb →
dust2	6–13	0.01	26%	23 Feb →
stronghold	3–13	-0.02	19%	23 Feb →
mirage	16–13	0.05	29%	22 Feb →
dust2	4–13	-0.02	26%	21 Feb →
overpass	13–9	0.09	31%	21 Feb →
overpass	16–14	0.01	23%	21 Feb →
mirage	13–3	0.12	22%	21 Feb →
mirage	4–13	0.01	20%	21 Feb →
inferno	10–13	0.06	33%	21 Feb →
inferno	9–3	0.16	44%	19 Feb →
mirage	13–10	0.04	21%	18 Feb →
dust2	7–13	0.08	36%	18 Feb →
dust2	8–13	0.04	25%	18 Feb →
mirage	5–13	0.03	33%	18 Feb →
dust2	9–13	0.04	22%	17 Feb →
italy	13–7	0.16	26%	17 Feb →
ancient	15–15	0.12	33%	15 Feb →
nuke	10–13	0.06	49%	15 Feb →
nuke	13–10	0.09	34%	14 Feb →
inferno	13–6	0.07	42%	14 Feb →
mirage	2–13	-0.06	30%	14 Feb →
nuke	13–6	0.10	51%	14 Feb →
overpass	8–13	-0.02	19%	14 Feb →
dust2	4–13	-0.01	42%	13 Feb →
nuke	14–16	0.04	42%	13 Feb →
mirage	13–4	0.06	31%	13 Feb →
inferno	5–9	-0.03	19%	13 Feb →
nuke	8–8	-0.10	18%	13 Feb →