dearlucid — CS2 Stats

FJ76561198300481108[U:1:340215380]Steam profile ↗✓ No bans

1,652Tracked matches64%Win rate2021Tracked since

3,170Hours in CS9Hrs last 2 wks

CSDB Rating8.1 StrongAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim89

Positioning69

Utility65

0–100 skill scores via Leetify.

Recent form

HOT56–41–3Last 10056%Win rateWWWWWLWLLW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim8.9

Aggression10.0

Utility6.5

Positioning6.9

Opening Duels5.3

Clutch4.4

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 sh1ro 96% playstyle similarity

Most alike: opening-fight frequency, 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 89 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 67% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.9

Utility6.5

Mechanics7.6

Opening Duels5.3

Win Impact9.8

Composite 8.1/10 (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 rating0.05+0.04

first ⅓ avg 0.01 → last ⅓ avg 0.05

Reaction time526ms−25ms

first ⅓ avg 551ms → last ⅓ avg 526ms

Headshot accuracy20.8%+1.0%

first ⅓ avg 19.7% → last ⅓ avg 20.8%

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

0.18Best rating — overpass 10–13

13–0Biggest win — mirage

8Longest win streak

W5Current streak

9–6In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 78% over 9trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	14–13	52%	0.01
dust2	A	20	11–9	55%	0.01
inferno	S	12	8–4	67%	0.05
overpass	B	11	5–6	45%	0.05
nuke	S	9	7–2	78%	0.05
ancient	B	8	4–4	50%	0.02
train	D	6	1–5	17%	0.01
anubis	—	3	3–0	100%	0.02
cache	—	2	1–1	50%	0.07
stronghold	—	1	1–0	100%	0.08
office	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Lifetime stats

257,563Lifetime kills

2.99K/D · Top 1% of tracked players

2,314Matches

54.9%Match win rate · Top 10% of tracked players

71.6%Headshot % · Top 5% of tracked players

13.3%Shot accuracy · Top 50% of tracked players

9,149MVPs

952Hours (in match)

3,595Bombs planted

733Bombs defused

Most-used weapons

AK-47181,700

Desert Eagle18,874

Glock-1813,648

M4A4 / M4A1-S10,144

P2000 / USP-S7,800

AWP5,897

P2505,490

SSG 083,439

Knife1,422

Galil AR1,226

Lifetime map wins

5,339dust2

3,454inferno

2,123nuke

694vertigo

584train

213office

196cbble

139italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

646Matches

57%Win rate

1.38Avg K/D

91.4ADR

45%Headshot %

Clutches & streaks

42%1v1 clutch win

31%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	171	57%	1.30	18.1
Dust2	118	61%	1.50	19.5
Ancient	91	47%	1.30	18.6
Anubis	90	58%	1.42	19.4
Inferno	45	44%	1.28	16.5
Nuke	26	58%	1.51	19.5
Train	13	69%	1.27	18.4
Vertigo	9	44%	0.99	15.1

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.

20.9%Headshot accuracy

40.9%Accuracy (enemy spotted)

45.8%Spray accuracy

84.2%Counter-strafing

10.2°Preaim

534msReaction time

35.8%T opening success

66.6%CT opening success

0.68Enemies flashed / flash

7.9%Flash assists

8.45HE damage / grenade

14.47Flashes / 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 35.7742% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	0.08	21%	24 Aug →
dust2	13–5	-0.00	50%	24 Aug →
mirage	13–11	0.00	15%	20 Aug →
nuke	13–11	0.16	23%	25 Jun →
stronghold	13–9	0.08	18%	19 Jun →
cache	6–13	0.14	32%	19 Jun →
mirage	13–0	0.00	0%	24 May →
mirage	16–19	-0.00	23%	23 May →
mirage	11–13	0.00	16%	1 May →
dust2	13–8	0.03	27%	1 May →
cache	13–9	-0.01	26%	1 May →
anubis	13–8	-0.03	21%	29 Apr →
ancient	13–6	0.01	26%	29 Apr →
inferno	12–12	0.14	18%	14 Apr →
dust2	15–15	-0.01	22%	4 Apr →
mirage	13–11	-0.01	21%	4 Apr →
mirage	16–13	0.11	21%	20 Mar →
dust2	13–2	0.07	17%	20 Mar →
overpass	13–11	0.07	15%	20 Mar →
dust2	9–13	-0.05	18%	19 Mar →
inferno	11–13	-0.02	14%	19 Mar →
office	13–9	0.13	28%	19 Mar →
mirage	6–13	-0.01	17%	19 Mar →
mirage	5–13	0.04	21%	19 Mar →
mirage	13–4	-0.06	22%	15 Mar →
nuke	13–10	0.06	22%	15 Mar →
mirage	6–13	0.02	17%	15 Mar →
overpass	10–13	0.18	17%	12 Mar →
overpass	11–0	0.16	23%	12 Mar →
overpass	10–13	0.05	16%	12 Mar →
anubis	13–6	-0.03	17%	3 Mar →
inferno	13–10	0.13	18%	3 Mar →
dust2	13–8	0.06	24%	3 Mar →
dust2	8–13	0.02	31%	3 Mar →
mirage	13–3	0.04	16%	3 Mar →
ancient	2–13	-0.03	22%	3 Mar →
dust2	16–12	0.07	19%	3 Mar →
ancient	8–13	0.06	23%	3 Mar →
anubis	13–10	0.11	21%	3 Mar →
overpass	7–13	0.03	21%	3 Mar →
nuke	13–3	0.06	17%	3 Mar →
inferno	13–9	0.02	29%	18 Feb →
inferno	13–10	0.02	15%	25 Jan →
mirage	13–2	0.11	14%	25 Jan →
mirage	8–13	0.00	19%	6 Jan →
mirage	13–6	0.11	17%	29 Dec →
dust2	7–13	0.00	12%	20 Dec →
dust2	10–13	0.01	16%	6 Dec →
dust2	13–2	0.07	19%	5 Dec →
overpass	7–13	-0.03	18%	5 Dec →
inferno	11–13	0.10	30%	28 Nov →
mirage	3–13	-0.01	11%	28 Nov →
mirage	7–13	-0.03	28%	27 Nov →
nuke	13–11	0.07	15%	24 Nov →
nuke	10–13	0.01	23%	24 Nov →
train	15–15	0.07	18%	22 Nov →
train	4–13	0.01	11%	21 Nov →
train	8–13	0.05	22%	21 Nov →
mirage	13–10	-0.01	32%	18 Nov →
dust2	9–13	0.05	37%	9 Nov →
mirage	13–7	0.00	9%	3 Nov →
mirage	11–13	0.06	16%	25 Oct →
nuke	5–13	-0.01	47%	6 Oct →
mirage	4–13	-0.05	22%	6 Oct →
dust2	7–13	-0.05	15%	5 Oct →
mirage	13–3	0.05	30%	4 Oct →
inferno	10–13	-0.00	25%	20 Sept →
overpass	13–5	0.05	7%	20 Sept →
inferno	13–1	0.07	30%	19 Sept →
dust2	16–14	0.05	19%	19 Sept →
nuke	13–7	0.06	13%	19 Sept →
inferno	13–9	0.01	17%	19 Sept →
ancient	22–20	-0.02	26%	18 Sept →
inferno	13–10	0.07	26%	18 Sept →
mirage	8–0	-0.02	30%	17 Sept →
ancient	14–16	0.08	27%	17 Sept →
overpass	13–9	0.06	15%	15 Sept →
ancient	3–11	-0.01	21%	15 Sept →
nuke	13–9	0.11	26%	12 Sept →
dust2	13–4	-0.01	14%	10 Sept →
nuke	16–14	-0.03	17%	10 Sept →
mirage	3–13	0.02	23%	10 Sept →
overpass	9–13	-0.04	20%	10 Sept →
overpass	13–1	0.07	11%	9 Sept →
ancient	13–5	0.08	15%	9 Sept →
train	12–16	0.00	30%	8 Sept →
dust2	8–13	-0.07	6%	8 Sept →
dust2	13–5	-0.04	22%	8 Sept →
mirage	13–11	-0.03	20%	8 Sept →
dust2	8–13	-0.00	31%	6 Sept →
mirage	9–13	-0.00	14%	6 Sept →
ancient	13–8	0.01	10%	6 Sept →
dust2	16–12	-0.02	33%	5 Sept →
train	31–28	0.01	13%	5 Sept →
inferno	22–19	0.01	19%	3 Sept →
mirage	14–16	-0.00	19%	3 Sept →
overpass	10–13	-0.06	10%	3 Sept →
inferno	13–4	0.01	23%	1 Sept →
mirage	13–4	-0.02	26%	1 Sept →
train	7–13	-0.10	21%	1 Sept →