LukeD — CS2 Stats

US76561198184714635[U:1:224448907]Steam profile ↗

629Tracked matches43%Win rate2020Tracked since

9,534Hours in CS

CSDB Rating5.1 Developing

Premier CS Rating23,731Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#4594 of 21362 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning45

Utility63

0–100 skill scores via Leetify.

Recent form

COLD55–45Last 10055%Win rateLWLWLWLLLL

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

Player DNA

Aim5.8

Aggression3.5

Utility6.3

Positioning4.5

Opening Duels1.2

Clutch1.8

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 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim5.8

Positioning4.5

Utility6.3

Mechanics6.3

Opening Duels2.3

Win Impact2.8

Composite 5.1/10 (Developing), 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 rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time613ms−57ms

first ⅓ avg 669ms → last ⅓ avg 613ms

Headshot accuracy14.5%−2.4%

first ⅓ avg 16.9% → last ⅓ avg 14.5%

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

0.10Best rating — dust2 13–9

13–1Biggest win — vertigo

9Longest win streak

13–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 80% over 10ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	17–11	61%	-0.00
mirage	C	21	9–12	43%	-0.02
inferno	B	19	10–9	53%	-0.02
cache	S	10	8–2	80%	-0.01
anubis	A	7	4–3	57%	-0.00
ancient	D	7	2–5	29%	0.00
train	—	2	2–0	100%	0.04
nuke	—	2	0–2	0%	-0.05
vertigo	—	2	2–0	100%	0.04
office	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

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

Lifetime stats

182,265Lifetime kills

0.81K/D

8,466Matches

65.3%Match win rate · Top 5% of Pink band

45.8%Headshot %

21.4%Shot accuracy · Top 5% of Pink band

7,777MVPs

9,534Hours (in match)

3,812Bombs planted

938Bombs defused

Most-used weapons

AK-4777,439

M4A4 / M4A1-S33,972

P2000 / USP-S13,448

AWP12,122

Desert Eagle7,931

Glock-184,466

P903,705

Galil AR2,023

Tec-92,019

SG 5531,960

Lifetime map wins

6,001dust2

3,000inferno

1,420cbble

1,003train

792nuke

281vertigo

242office

106italy

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

Faceit stats

Combat

320Matches

52%Win rate

1.13Avg K/D

73.7ADR

40%Headshot %

Clutches & streaks

29%1v1 clutch win

12%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	17	71%	1.18	17.6
Mirage	16	31%	0.93	14.6
Inferno	12	67%	0.94	13.7
Cache	8	75%	1.02	13.4
Ancient	7	29%	0.80	15.7
Anubis	5	60%	1.14	13.4
Nuke	2	0%	0.62	11.0

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.

14.6%Headshot accuracy

34.1%Accuracy (enemy spotted)

33.0%Spray accuracy

78.3%Counter-strafing

9.6°Preaim

617msReaction time

20.7%T opening success

48.6%CT opening success

0.70Enemies flashed / flash

8.4%Flash assists

9.42HE damage / grenade

15.55Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6241% — below the 15% mark we flag
Aim Training →
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 20.6793% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

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