Lucas — CS2 Stats

GB76561198148897583[U:1:188631855]Steam profile ↗

821Tracked matches52%Win rate2021Tracked since

776Hours in CS8Hrs last 2 wks

CSDB Rating7.6 StrongAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	46.8%	42.7%	44.0%	above
Shot accuracy	17.3%	10.8%	11.6%	above
Kill/death ratio	1.81	1.00	1.03	above
Match win rate	56.0%	44.1%	45.1%	above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim91

Positioning71

Utility72

0–100 skill scores via Leetify.

Recent form

HOT53–38–9Last 10053%Win rateLWWWWTLWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim9.1

Aggression10.0

Utility7.2

Positioning7.1

Opening Duels5.6

Clutch0.0

Sharp aimerStrong CT-side openerEffective flashes

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 ZywOo 97% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 91 — 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

T-side openings. Opening success drops from 67% on CT to 39% 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

Aim9.1

Positioning7.1

Utility7.2

Mechanics8.1

Opening Duels5.6

Win Impact5.6

Composite 7.6/10 (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 rating0.07−0.01

first ⅓ avg 0.09 → last ⅓ avg 0.07

Reaction time543ms−34ms

first ⅓ avg 576ms → last ⅓ avg 543ms

Headshot accuracy18.0%−2.7%

first ⅓ avg 20.6% → last ⅓ avg 18.0%

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

0.23Best rating — nuke 13–4

13–1Biggest win — cache

8Longest win streak

2–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 65% over 23infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	16–17	48%	0.07
cache	S	23	15–8	65%	0.08
dust2	B	13	6–7	46%	0.07
nuke	C	12	5–7	42%	0.07
inferno	D	8	2–6	25%	0.05
vertigo	—	3	3–0	100%	0.11
ancient	—	3	2–1	67%	0.06
anubis	—	2	2–0	100%	0.09
train	—	2	2–0	100%	0.11
alpine	—	1	0–1	0%	0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,661Lifetime kills

1.81K/D · Top 5% of Level 4 players

1,016Matches

56.0%Match win rate · Top 5% of Level 4 players

46.8%Headshot % · Top 50% of Level 4 players

17.3%Shot accuracy · Top 25% of Level 4 players

3,930MVPs

408Hours (in match)

702Bombs planted

379Bombs defused

Most-used weapons

AK-4710,570

M4A4 / M4A1-S5,242

AWP2,671

Desert Eagle2,424

P2000 / USP-S1,673

Glock-181,379

FAMAS584

Galil AR569

MAC-10528

MP9424

Lifetime map wins

1,282inferno

1,113vertigo

941nuke

862train

861dust2

38lake

26cbble

23office

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

Faceit stats

Combat

36Matches

64%Win rate

2.09Avg K/D

145.1ADR

40%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	100%	2.92	31.5
Mirage	2	100%	2.72	22.5
Vertigo	1	0%	1.68	37.0
Dust2	1	100%	1.64	23.0

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.

17.9%Headshot accuracy

44.0%Accuracy (enemy spotted)

44.3%Spray accuracy

86.5%Counter-strafing

9.2°Preaim

542msReaction time

38.6%T opening success

66.6%CT opening success

0.70Enemies flashed / flash

7.9%Flash assists

10.62HE damage / grenade

10.60Flashes / 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 38.6147% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	0–13	-0.06	27%	30 Aug →
anubis	13–7	0.11	21%	30 Aug →
cache	13–2	0.11	9%	29 Aug →
mirage	13–9	0.13	13%	28 Aug →
cache	13–9	0.06	24%	28 Aug →
nuke	12–12	0.05	21%	26 Aug →
mirage	11–13	0.07	14%	24 Aug →
nuke	13–2	0.16	8%	23 Aug →
mirage	13–8	0.03	6%	19 Aug →
nuke	13–9	0.12	25%	19 Aug →
dust2	5–13	0.08	28%	17 Aug →
nuke	4–13	0.04	22%	17 Aug →
mirage	13–3	0.17	45%	16 Aug →
cache	11–13	0.01	14%	16 Aug →
mirage	12–12	0.00	11%	11 Aug →
cache	13–7	0.08	15%	9 Aug →
mirage	12–12	0.04	7%	9 Aug →
mirage	13–9	0.16	13%	8 Aug →
nuke	6–13	-0.01	25%	7 Aug →
mirage	13–5	0.15	15%	6 Aug →
cache	13–5	0.11	10%	4 Aug →
mirage	11–13	0.07	10%	30 Jul →
inferno	2–13	-0.04	26%	29 Jul →
vertigo	13–6	0.14	20%	29 Jul →
cache	13–8	0.09	22%	27 Jul →
nuke	7–13	0.09	22%	24 Jul →
mirage	7–13	0.03	13%	24 Jul →
inferno	7–13	0.07	31%	1 Jul →
cache	10–13	0.10	21%	1 Jul →
mirage	5–13	0.12	12%	29 Jun →
cache	6–13	-0.02	9%	28 Jun →
mirage	13–9	0.11	20%	28 Jun →
cache	7–13	0.06	14%	27 Jun →
inferno	13–3	0.21	17%	27 Jun →
mirage	13–7	0.03	11%	24 Jun →
cache	13–1	0.14	13%	24 Jun →
dust2	10–13	-0.01	12%	23 Jun →
cache	13–4	0.06	15%	23 Jun →
mirage	13–9	0.04	12%	21 Jun →
mirage	6–13	-0.02	21%	18 Jun →
dust2	13–2	0.16	25%	18 Jun →
cache	9–13	0.01	26%	14 Jun →
mirage	13–5	0.11	21%	14 Jun →
dust2	3–13	0.01	21%	14 Jun →
cache	13–3	0.10	27%	13 Jun →
mirage	4–13	-0.01	12%	8 Jun →
dust2	13–9	0.05	23%	8 Jun →
cache	13–4	0.14	13%	6 Jun →
mirage	13–8	0.11	21%	4 Jun →
dust2	7–13	-0.02	5%	4 Jun →
cache	13–10	0.07	13%	4 Jun →
cache	13–8	0.07	11%	2 Jun →
mirage	8–13	0.05	17%	2 Jun →
cache	13–5	0.19	19%	31 May →
nuke	3–13	-0.02	21%	30 May →
vertigo	13–1	0.08	20%	30 May →
dust2	10–13	0.01	11%	26 May →
inferno	3–13	-0.06	19%	26 May →
mirage	13–6	0.18	21%	24 May →
ancient	13–9	0.04	28%	13 May →
mirage	12–16	-0.01	23%	13 May →
cache	1–13	-0.03	5%	12 May →
mirage	7–13	0.01	23%	10 May →
dust2	13–9	0.09	14%	9 May →
cache	13–5	0.10	29%	9 May →
cache	13–8	0.13	14%	8 May →
mirage	13–4	0.09	12%	8 May →
cache	13–2	0.09	17%	5 May →
mirage	13–6	0.15	13%	5 May →
dust2	8–0	0.12	43%	5 May →
inferno	13–9	0.03	39%	4 May →
cache	12–12	0.10	25%	4 May →
cache	11–13	0.16	16%	3 May →
mirage	8–13	0.10	18%	2 May →
mirage	12–12	0.01	21%	29 Apr →
train	13–1	0.09	16%	28 Apr →
vertigo	13–4	0.12	30%	28 Apr →
inferno	7–13	0.05	22%	20 Apr →
dust2	11–13	0.09	19%	20 Apr →
alpine	12–12	0.14	21%	18 Apr →
mirage	13–4	0.10	19%	11 Apr →
ancient	6–13	0.02	19%	10 Apr →
train	13–1	0.13	32%	10 Apr →
nuke	13–11	0.03	12%	10 Apr →
dust2	12–12	0.06	13%	9 Apr →
mirage	2–13	0.00	15%	8 Apr →
nuke	6–13	-0.06	26%	8 Apr →
inferno	9–13	0.12	24%	6 Apr →
mirage	12–12	0.02	19%	5 Apr →
anubis	13–10	0.07	16%	5 Apr →
nuke	13–4	0.23	20%	4 Apr →
inferno	5–13	0.07	23%	4 Apr →
ancient	13–11	0.11	24%	4 Apr →
dust2	13–5	0.15	20%	4 Apr →
mirage	13–7	0.13	14%	4 Apr →
nuke	13–6	0.06	16%	2 Apr →
dust2	13–7	0.08	20%	2 Apr →
mirage	12–12	0.07	16%	1 Apr →
mirage	13–5	0.11	11%	29 Mar →
nuke	9–13	0.10	22%	29 Mar →