W1Ccc☔ — CS2 Stats

76561198964073749[U:1:1003808021]Steam profile ↗✓ No bans

3,429Tracked matches60%Win rate2020Tracked since

CSDB Rating7.0 StrongEntry Fragger

FaceitLevel 10 · 2,465 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning61

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLLLWWWWLW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.7

Aggression10.0

Utility5.0

Positioning6.1

Opening Duels6.3

Clutch3.8

Sharp aimerStrong 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 s1mple 89% playstyle similarity

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

Where you differ: lower utility contribution; lower positioning 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 69% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim8.7

Positioning6.1

Utility5.0

Mechanics6.4

Opening Duels6.3

Win Impact8.3

Composite 7.0/10 (Strong), 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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time584ms+9ms

first ⅓ avg 575ms → last ⅓ avg 584ms

Headshot accuracy23.7%+1.1%

first ⅓ avg 22.6% → last ⅓ avg 23.7%

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

0.25Best rating — ancient 13–9

13–0Biggest win — ancient

7Longest win streak

L4Current streak

3–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	36	19–17	53%	0.06
mirage	C	17	7–10	41%	0.03
dust2	D	10	1–9	10%	0.01
inferno	B	10	5–5	50%	0.06
anubis	A	9	5–4	56%	0.01
cache	D	6	2–4	33%	0.04
nuke	A	5	3–2	60%	-0.00
overpass	S	5	4–1	80%	0.05
vertigo	—	1	0–1	0%	-0.02
rooftop	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,556Matches

51%Win rate

1.16Avg K/D

83.0ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	273	48%	1.20	17.1
Ancient	267	52%	1.19	17.1
Vertigo	121	55%	1.27	17.5
Anubis	104	47%	1.12	16.0
Inferno	97	52%	1.19	16.3
Overpass	96	54%	1.17	17.4
Nuke	74	54%	1.17	16.7
Dust2	44	48%	1.24	18.4

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.

23.0%Headshot accuracy

40.4%Accuracy (enemy spotted)

46.6%Spray accuracy

78.7%Counter-strafing

9.7°Preaim

584msReaction time

41.1%T opening success

68.9%CT opening success

0.55Enemies flashed / flash

5.6%Flash assists

8.49HE damage / grenade

6.54Flashes / match

Recommended for you

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.

10% win rate across 10 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
vertigo	9–13	-0.02	17%	20 Aug →
cache	9–13	-0.04	20%	17 Aug →
nuke	8–13	-0.04	24%	15 Aug →
ancient	6–13	0.02	27%	6 Aug →
ancient	13–5	0.08	19%	2 Aug →
dust2	13–10	-0.02	19%	24 Jul →
ancient	13–5	0.04	16%	24 Jul →
inferno	13–11	-0.01	15%	22 Jul →
cache	4–13	-0.03	24%	9 Jul →
nuke	13–10	-0.02	16%	4 Jul →
ancient	16–12	0.00	30%	4 Jul →
mirage	13–6	-0.00	15%	4 Jul →
mirage	16–13	0.06	32%	4 Jul →
ancient	13–0	0.11	35%	3 Jul →
inferno	13–11	0.07	28%	3 Jul →
anubis	13–10	-0.04	29%	3 Jul →
inferno	12–16	-0.00	19%	2 Jul →
mirage	13–5	0.03	19%	2 Jul →
dust2	9–13	-0.05	21%	2 Jul →
ancient	13–8	-0.04	22%	1 Jul →
dust2	14–16	-0.04	18%	1 Jul →
nuke	13–5	0.02	25%	30 Jun →
ancient	13–7	0.05	40%	30 Jun →
nuke	1–13	0.01	31%	30 Jun →
anubis	11–13	0.05	24%	19 Jun →
overpass	4–13	-0.00	18%	19 Jun →
ancient	13–5	0.07	29%	19 Jun →
cache	13–6	0.02	16%	15 Jun →
overpass	13–6	0.13	21%	15 Jun →
ancient	6–13	-0.03	25%	15 Jun →
ancient	11–13	0.14	32%	12 Jun →
mirage	11–13	-0.02	23%	12 Jun →
ancient	13–6	0.08	33%	12 Jun →
ancient	13–9	0.10	29%	10 Jun →
anubis	9–13	-0.02	13%	26 May →
mirage	13–5	0.07	26%	26 May →
mirage	2–13	-0.02	28%	22 May →
mirage	13–9	0.07	24%	21 May →
nuke	13–7	0.02	47%	20 May →
anubis	13–8	-0.01	26%	15 May →
ancient	2–13	0.01	18%	15 May →
cache	13–3	0.07	16%	15 May →
overpass	13–7	0.12	29%	14 May →
cache	10–13	0.08	29%	13 May →
ancient	13–9	0.25	21%	8 May →
dust2	12–12	0.04	33%	8 May →
ancient	5–13	0.01	18%	29 Apr →
cache	11–13	0.12	16%	29 Apr →
ancient	11–13	0.12	25%	27 Apr →
ancient	12–12	0.03	19%	22 Apr →
ancient	13–9	0.06	22%	3 Apr →
anubis	13–10	0.07	24%	1 Apr →
dust2	12–12	0.02	18%	1 Apr →
ancient	7–13	0.08	29%	1 Apr →
mirage	8–13	0.05	23%	31 Mar →
inferno	13–10	0.15	25%	31 Mar →
dust2	2–13	-0.03	31%	31 Mar →
ancient	13–7	0.08	17%	30 Mar →
dust2	12–12	0.06	22%	28 Mar →
ancient	8–13	0.06	20%	28 Mar →
inferno	7–13	0.07	21%	25 Mar →
ancient	1–13	0.05	15%	25 Mar →
mirage	13–16	0.01	26%	4 Mar →
ancient	5–13	0.07	27%	2 Mar →
ancient	13–10	0.07	31%	2 Mar →
ancient	12–12	0.10	18%	2 Mar →
inferno	13–7	0.20	20%	1 Mar →
ancient	13–10	0.10	25%	28 Feb →
ancient	2–13	0.04	43%	28 Feb →
ancient	7–13	0.15	22%	24 Feb →
dust2	4–13	0.10	24%	21 Feb →
ancient	13–9	0.11	30%	21 Feb →
mirage	5–13	0.07	18%	20 Feb →
ancient	5–13	-0.07	17%	20 Feb →
mirage	14–16	0.00	23%	20 Feb →
ancient	8–13	0.07	23%	17 Feb →
ancient	13–3	0.04	16%	15 Feb →
mirage	9–13	0.10	18%	15 Feb →
mirage	10–13	0.04	27%	15 Feb →
ancient	13–10	-0.05	20%	12 Feb →
inferno	9–13	-0.03	8%	7 Feb →
overpass	13–9	-0.02	11%	6 Feb →
mirage	13–10	0.04	12%	3 Feb →
ancient	13–8	0.08	32%	31 Jan →
inferno	11–13	-0.01	17%	31 Jan →
anubis	13–4	0.04	47%	30 Jan →
ancient	13–10	0.04	21%	30 Jan →
mirage	13–8	0.02	24%	29 Jan →
inferno	13–6	0.12	26%	27 Jan →
inferno	9–13	0.02	20%	26 Jan →
ancient	9–13	0.10	24%	24 Jan →
anubis	13–10	0.02	26%	23 Jan →
anubis	11–13	-0.03	18%	23 Jan →
dust2	8–13	0.05	21%	22 Jan →
dust2	1–8	-0.06	14%	22 Jan →
anubis	10–13	0.06	26%	22 Jan →
mirage	6–13	-0.04	29%	22 Jan →
rooftop	9–2	0.09	20%	19 Jan →
mirage	12–12	0.04	22%	18 Jan →
overpass	13–11	0.03	21%	18 Jan →