lawlkay — CS2 Stats

76561198208618504[U:1:248352776]Steam profile ↗✓ No bans

3,072Tracked matches53%Win rate2020Tracked since

CSDB Rating6.9 SolidHybrid Rifler

Premier CS Rating26,398Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#641 of 6952 tracked

FaceitLevel 10 · 2,929 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

26,398Peak Premier on CSDB

2,929Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,929
Next: 3,000 ELO at 3,000 — 71 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-28
Level 10 first seen 2026-08-28

Premier CS Rating

At peak — 26,398
Next: Gold band at 30,000 — 3,602 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim90

Positioning53

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLLLWWWLLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

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

Aim9.0

Aggression5.6

Utility5.5

Positioning5.3

Opening Duels1.9

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 NiKo 94% playstyle similarity

Most alike: opening-duel success, aim 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 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.

T-side openings. Opening success drops from 49% on CT to 26% 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

Aim9.0

Positioning5.3

Utility5.5

Mechanics7.6

Opening Duels2.4

Win Impact6.1

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-0.01−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time511ms−95ms

first ⅓ avg 605ms → last ⅓ avg 511ms

Headshot accuracy23.4%−0.1%

first ⅓ avg 23.5% → last ⅓ avg 23.4%

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

0.15Best rating — ancient 13–3

13–1Biggest win — nuke

6Longest win streak

5–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 67% over 9nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	11–9	55%	-0.01
dust2	B	18	9–9	50%	0.02
inferno	C	17	7–10	41%	-0.01
ancient	B	16	8–8	50%	0.02
cache	A	11	7–4	64%	0.02
anubis	S	9	6–3	67%	0.01
nuke	D	7	2–5	29%	0.00
overpass	—	1	0–1	0%	0.03
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,863Matches

51%Win rate

1.15Avg K/D

77.9ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	248	51%	1.19	16.1
Ancient	216	56%	1.17	15.9
Anubis	180	52%	1.18	16.1
Inferno	150	53%	1.21	16.1
Nuke	120	47%	1.14	15.9
Dust2	100	45%	1.06	15.4
Overpass	35	51%	1.13	16.4
Train	35	57%	1.19	16.0

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.

22.8%Headshot accuracy

39.0%Accuracy (enemy spotted)

42.7%Spray accuracy

84.4%Counter-strafing

9.7°Preaim

506msReaction time

26.3%T opening success

49.2%CT opening success

0.53Enemies flashed / flash

10.5%Flash assists

6.65HE damage / grenade

7.91Flashes / 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 26.2977% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	0.09	37%	28 Aug →
ancient	7–13	0.00	36%	28 Aug →
mirage	11–13	-0.07	20%	27 Aug →
inferno	8–13	-0.04	24%	26 Aug →
mirage	13–5	-0.02	12%	26 Aug →
dust2	13–5	0.01	23%	25 Aug →
mirage	13–3	0.10	36%	21 Aug →
cache	5–13	0.01	19%	21 Aug →
dust2	6–13	0.01	15%	21 Aug →
dust2	8–13	-0.01	22%	18 Aug →
ancient	13–10	0.05	20%	18 Aug →
dust2	8–13	-0.08	19%	18 Aug →
inferno	19–17	-0.00	24%	17 Aug →
anubis	13–7	0.01	23%	15 Aug →
inferno	6–13	-0.05	37%	12 Aug →
dust2	6–13	-0.04	13%	12 Aug →
inferno	13–8	-0.01	16%	12 Aug →
inferno	13–9	-0.02	13%	11 Aug →
anubis	6–13	-0.05	16%	11 Aug →
mirage	13–10	-0.01	17%	11 Aug →
anubis	4–13	-0.04	17%	10 Aug →
nuke	10–13	-0.03	35%	10 Aug →
anubis	13–11	0.02	19%	10 Aug →
mirage	13–8	-0.02	26%	7 Aug →
inferno	13–9	-0.05	27%	7 Aug →
nuke	10–13	-0.03	11%	4 Aug →
inferno	16–13	0.04	35%	4 Aug →
mirage	13–4	-0.02	33%	4 Aug →
mirage	11–13	-0.00	19%	3 Aug →
anubis	13–7	0.00	20%	3 Aug →
inferno	8–13	-0.05	22%	3 Aug →
dust2	13–9	0.01	17%	30 Jul →
mirage	11–13	0.02	50%	27 Jul →
inferno	4–13	-0.02	25%	12 Jun →
ancient	6–13	-0.01	22%	12 Jun →
ancient	13–5	0.08	23%	10 Jun →
dust2	1–4	0.04	29%	20 May →
mirage	13–6	0.03	27%	20 May →
mirage	13–7	-0.01	30%	20 May →
mirage	6–13	-0.03	27%	20 May →
ancient	13–8	0.06	27%	20 May →
dust2	13–10	0.05	35%	18 May →
mirage	13–8	-0.02	26%	18 May →
dust2	13–10	0.05	25%	18 May →
ancient	13–7	-0.06	19%	18 May →
ancient	13–7	-0.04	27%	13 May →
ancient	2–13	-0.03	13%	13 May →
anubis	13–4	0.08	21%	13 May →
dust2	6–13	0.02	25%	11 May →
cache	19–15	0.01	14%	8 May →
cache	13–10	0.02	25%	8 May →
inferno	7–13	0.01	35%	8 May →
anubis	16–13	0.03	29%	8 May →
overpass	10–13	0.03	13%	8 May →
anubis	13–11	0.03	45%	8 May →
dust2	13–4	0.07	26%	8 May →
nuke	5–13	-0.03	24%	8 May →
dust2	13–8	0.09	23%	8 May →
mirage	11–13	-0.03	32%	8 May →
dust2	13–11	0.02	49%	7 May →
cache	13–9	-0.08	31%	7 May →
cache	11–13	-0.02	20%	7 May →
nuke	5–13	-0.09	23%	7 May →
mirage	13–8	0.03	27%	7 May →
mirage	6–13	-0.10	19%	6 May →
mirage	13–8	0.00	0%	4 May →
cache	13–3	0.10	25%	2 May →
cache	10–13	0.00	38%	1 May →
ancient	13–9	0.10	18%	30 Apr →
cache	13–7	0.02	25%	30 Apr →
cache	13–5	0.12	27%	29 Apr →
cache	13–8	0.01	20%	29 Apr →
cache	3–13	-0.00	24%	29 Apr →
ancient	4–13	-0.00	30%	28 Apr →
inferno	15–19	0.01	29%	28 Apr →
inferno	8–13	-0.02	43%	26 Apr →
mirage	2–13	-0.05	11%	26 Apr →
ancient	7–13	-0.00	37%	24 Apr →
ancient	3–13	0.05	29%	24 Apr →
inferno	11–13	0.01	29%	23 Apr →
nuke	10–13	0.01	21%	20 Apr →
ancient	6–13	-0.01	26%	20 Apr →
dust2	12–12	0.11	16%	20 Apr →
inferno	13–11	0.02	19%	19 Apr →
mirage	13–8	-0.01	22%	19 Apr →
nuke	13–1	0.11	18%	14 Apr →
ancient	9–13	-0.01	19%	14 Apr →
ancient	13–7	0.06	31%	13 Apr →
dust2	2–13	-0.02	36%	12 Apr →
anubis	5–13	0.00	14%	12 Apr →
nuke	13–7	0.09	11%	12 Apr →
inferno	12–16	-0.01	20%	12 Apr →
dust2	16–13	0.02	27%	12 Apr →
mirage	12–12	0.11	16%	12 Apr →
mirage	8–13	0.01	28%	12 Apr →
inferno	5–13	-0.01	16%	12 Apr →
ancient	13–3	0.15	17%	10 Apr →
vertigo	13–4	0.09	14%	10 Apr →
dust2	1–13	-0.06	11%	9 Apr →
inferno	13–10	0.05	31%	9 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches

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