lukester — CS2 Stats

76561198149681277[U:1:189415549]

3,678Tracked matches57%Win rate2020Tracked since

CSDB Rating6.9 SolidHybrid Rifler

Premier CS Rating23,649Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

CSDB Leaderboard#4152 of 18397 tracked

FaceitLevel 8 · 1,200 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning56

Utility45

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLLLLLWLLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression6.4

Utility4.5

Positioning5.6

Opening Duels3.0

Clutch1.4

Sharp aimerExcellent counter-strafingStrong 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 ropz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 31 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 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.6

Utility4.5

Mechanics9.0

Opening Duels3.1

Win Impact7.2

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time624ms+32ms

first ⅓ avg 592ms → last ⅓ avg 624ms

Headshot accuracy24.3%+9.0%

first ⅓ avg 15.3% → last ⅓ avg 24.3%

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

0.15Best rating — mirage 13–3

13–2Biggest win — ancient

9Longest win streak

L5Current streak

8–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 67% over 24cacheWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	24	16–8	67%	0.02
inferno	B	17	9–8	53%	0.03
nuke	C	12	5–7	42%	0.03
cache	D	12	3–9	25%	0.03
dust2	D	11	3–8	27%	-0.02
ancient	S	9	6–3	67%	0.01
anubis	A	7	4–3	57%	0.03
overpass	—	3	3–0	100%	0.02
office	—	2	1–1	50%	-0.02
train	—	1	0–1	0%	-0.03
vertigo	—	1	0–1	0%	-0.01
boulder	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

192Matches

55%Win rate

1.17Avg K/D

86.9ADR

50%Headshot %

Clutches & streaks

27%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	69	45%	1.13	16.0
Ancient	27	63%	1.26	17.6
Inferno	25	72%	1.34	17.7
Nuke	18	61%	1.22	17.8
Dust2	15	53%	0.90	15.3
Anubis	12	58%	1.15	17.1
Overpass	7	71%	1.28	15.4
Cache	6	17%	0.85	15.3

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.

24.6%Headshot accuracy

35.7%Accuracy (enemy spotted)

41.7%Spray accuracy

90.5%Counter-strafing

8.5°Preaim

621msReaction time

29.5%T opening success

54.4%CT opening success

0.64Enemies flashed / flash

3.1%Flash assists

8.56HE damage / grenade

7.46Flashes / 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 29.5373% — below the 40% mark we flag

Spend your practice time on Cache

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 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	2–11	0.01	39%	25 Aug →
dust2	7–13	-0.02	32%	25 Aug →
train	0–11	-0.03	12%	21 Aug →
inferno	9–13	0.09	19%	18 Aug →
office	10–13	-0.04	35%	11 Aug →
inferno	13–6	0.05	28%	11 Aug →
dust2	10–13	-0.01	18%	8 Aug →
mirage	5–13	-0.05	33%	8 Aug →
nuke	13–10	0.00	22%	8 Aug →
mirage	13–11	-0.06	17%	5 Aug →
inferno	13–10	0.07	27%	5 Aug →
nuke	2–13	-0.05	55%	4 Aug →
inferno	13–16	-0.05	29%	4 Aug →
ancient	13–9	-0.00	27%	3 Aug →
vertigo	7–13	-0.01	31%	2 Aug →
office	13–3	-0.00	15%	1 Aug →
inferno	13–8	0.09	22%	30 Jul →
cache	10–13	0.00	30%	30 Jul →
inferno	0–13	-0.01	7%	29 Jul →
mirage	13–7	0.01	26%	29 Jul →
cache	7–13	-0.04	43%	29 Jul →
mirage	13–7	0.00	10%	28 Jul →
cache	13–5	0.14	11%	28 Jul →
nuke	13–7	0.03	27%	28 Jul →
nuke	13–10	0.00	16%	27 Jul →
anubis	13–10	0.01	25%	27 Jul →
anubis	16–13	-0.01	10%	26 Jul →
inferno	13–7	0.13	41%	26 Jul →
cache	13–9	0.04	11%	26 Jul →
mirage	13–11	0.11	24%	26 Jul →
dust2	8–13	-0.05	15%	25 Jul →
mirage	13–9	-0.01	21%	25 Jul →
cache	15–15	0.05	24%	21 Jul →
inferno	7–13	0.02	24%	21 Jul →
ancient	13–2	0.10	20%	21 Jul →
cache	1–13	0.07	24%	21 Jul →
nuke	9–6	0.03	20%	21 Jul →
cache	13–9	-0.02	23%	19 Jul →
inferno	13–7	0.08	24%	17 Jul →
dust2	9–13	-0.02	25%	17 Jul →
boulder	11–13	0.04	20%	16 Jul →
mirage	13–10	0.06	14%	15 Jul →
ancient	13–7	0.03	6%	15 Jul →
ancient	13–10	-0.01	20%	15 Jul →
nuke	9–13	0.06	14%	15 Jul →
cache	8–13	0.10	24%	15 Jul →
ancient	13–11	-0.06	22%	15 Jul →
dust2	13–8	0.00	19%	14 Jul →
dust2	6–13	-0.02	31%	14 Jul →
nuke	14–16	0.04	22%	14 Jul →
overpass	13–10	0.04	12%	14 Jul →
mirage	13–3	-0.00	12%	14 Jul →
mirage	4–13	-0.03	21%	14 Jul →
ancient	9–13	0.01	18%	13 Jul →
mirage	16–14	-0.01	19%	13 Jul →
cache	8–13	0.05	13%	13 Jul →
nuke	14–16	0.07	17%	12 Jul →
cache	7–13	-0.00	12%	12 Jul →
mirage	13–11	0.09	15%	11 Jul →
nuke	13–9	0.05	24%	11 Jul →
inferno	13–8	0.05	12%	11 Jul →
mirage	16–14	0.04	11%	10 Jul →
cache	15–15	-0.07	22%	10 Jul →
anubis	11–13	0.01	13%	10 Jul →
nuke	5–13	0.12	9%	9 Jul →
cache	15–15	-0.00	11%	9 Jul →
nuke	7–13	-0.00	28%	7 Jul →
mirage	13–10	0.03	13%	7 Jul →
overpass	13–4	0.03	18%	6 Jul →
mirage	13–11	0.00	12%	6 Jul →
dust2	13–11	-0.02	17%	6 Jul →
inferno	10–13	0.05	20%	1 Jul →
mirage	13–9	0.01	20%	30 Jun →
ancient	13–3	0.06	16%	30 Jun →
mirage	10–13	0.00	10%	30 Jun →
mirage	15–15	-0.02	10%	30 Jun →
inferno	8–8	-0.05	16%	30 Jun →
inferno	6–13	-0.02	24%	30 Jun →
dust2	8–13	-0.01	9%	30 Jun →
dust2	13–5	0.01	23%	29 Jun →
dust2	11–13	-0.03	6%	29 Jun →
ancient	15–15	-0.01	14%	29 Jun →
mirage	13–3	0.15	10%	29 Jun →
inferno	13–5	0.01	14%	29 Jun →
mirage	13–5	0.03	6%	28 Jun →
mirage	13–9	0.13	16%	28 Jun →
anubis	13–10	0.12	11%	28 Jun →
nuke	10–13	0.09	9%	28 Jun →
inferno	13–6	0.06	12%	28 Jun →
inferno	5–13	-0.02	19%	27 Jun →
anubis	8–13	-0.00	22%	27 Jun →
overpass	13–6	-0.00	13%	27 Jun →
mirage	8–13	0.03	18%	27 Jun →
anubis	13–10	0.09	23%	26 Jun →
anubis	3–13	-0.04	22%	26 Jun →
dust2	8–13	-0.06	23%	26 Jun →
mirage	11–13	0.04	20%	26 Jun →
ancient	11–13	-0.07	17%	26 Jun →
mirage	5–13	-0.01	8%	26 Jun →
inferno	13–6	0.01	14%	26 Jun →