luke — CS2 Stats

76561199058625179[U:1:1098359451]

353Tracked matches50%Win rate2021Tracked since

511Hours in CS

CSDB Rating5.3 Developing

Ladder ranks via Leetify

Performance scores

Aim59

Positioning50

Utility51

0–100 skill scores via Leetify.

Recent form

COLD56–40–4Last 10056%Win rateLLLLWLWLLL

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

Player DNA

Aim5.9

Aggression5.4

Utility5.1

Positioning5.0

Opening Duels1.7

Clutch1.0

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 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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 51% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim5.9

Positioning5.0

Utility5.1

Mechanics7.0

Opening Duels2.6

Win Impact5.0

Composite 5.3/10 (Developing), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time640ms+9ms

first ⅓ avg 631ms → last ⅓ avg 640ms

Headshot accuracy17.2%−0.5%

first ⅓ avg 17.7% → last ⅓ avg 17.2%

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

0.22Best rating — inferno 9–6

13–0Biggest win — dust2

12Longest win streak

L4Current streak

8–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 77% over 13anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	23	10–13	43%	0.01
ancient	S	19	13–6	68%	0.02
dust2	C	16	7–9	44%	0.02
inferno	S	13	10–3	77%	0.07
mirage	B	13	7–6	54%	0.04
overpass	S	7	5–2	71%	0.02
anubis	D	7	2–5	29%	0.02
vertigo	—	2	2–0	100%	0.09

Across the last 100 tracked matches.

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

Lifetime stats

9,417Lifetime kills

1.13K/D · Top 50% of tracked players

560Matches

50.2%Match win rate · Top 25% of tracked players

48.6%Headshot % · Top 50% of tracked players

1.3%Shot accuracy

1,420MVPs

511Hours (in match)

703Bombs planted

181Bombs defused

Most-used weapons

AK-473,253

M4A4 / M4A1-S1,818

AWP1,168

P2000 / USP-S500

Desert Eagle438

MP7407

XM1014287

Glock-18280

Galil AR170

Tec-9139

Lifetime map wins

1,153dust2

924nuke

658inferno

80vertigo

66train

24office

23cbble

6ar_shoots

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

Faceit stats

Combat

2Matches

0%Win rate

0.98Avg K/D

83.2ADR

52%Headshot %

Clutches & streaks

25%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	1.20	18.0
Nuke	1	0%	0.76	13.0

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.

17.4%Headshot accuracy

33.6%Accuracy (enemy spotted)

34.6%Spray accuracy

81.5%Counter-strafing

10.7°Preaim

642msReaction time

22.6%T opening success

51.0%CT opening success

0.65Enemies flashed / flash

5.1%Flash assists

9.05HE damage / grenade

7.51Flashes / 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 22.6072% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	9–13	-0.05	18%	27 May →
ancient	10–13	0.03	10%	12 Mar →
dust2	8–13	-0.03	12%	11 Mar →
dust2	9–13	-0.01	18%	28 Feb →
nuke	13–10	0.00	18%	28 Feb →
overpass	11–13	-0.06	13%	28 Feb →
inferno	13–7	0.02	17%	28 Feb →
ancient	10–13	-0.01	12%	28 Feb →
nuke	6–13	-0.01	26%	28 Feb →
dust2	14–16	0.01	21%	24 Feb →
ancient	9–13	-0.01	13%	24 Feb →
inferno	6–9	0.05	24%	23 Feb →
nuke	8–8	-0.03	18%	23 Feb →
nuke	6–9	-0.03	21%	23 Feb →
nuke	7–9	-0.01	25%	23 Feb →
vertigo	9–7	-0.00	12%	23 Feb →
overpass	9–7	0.11	16%	23 Feb →
dust2	11–13	-0.03	19%	22 Feb →
mirage	3–8	0.04	38%	22 Feb →
dust2	13–10	-0.00	20%	22 Feb →
inferno	5–9	-0.01	10%	22 Feb →
inferno	9–6	0.22	20%	22 Feb →
inferno	9–6	0.13	19%	22 Feb →
nuke	9–2	0.15	4%	22 Feb →
nuke	2–9	-0.13	32%	22 Feb →
vertigo	9–2	0.19	11%	22 Feb →
inferno	8–8	0.14	13%	22 Feb →
nuke	1–9	-0.01	15%	22 Feb →
nuke	9–4	0.07	10%	22 Feb →
ancient	13–16	0.04	14%	21 Feb →
overpass	13–8	0.01	11%	21 Feb →
nuke	8–13	-0.04	23%	21 Feb →
mirage	13–8	0.10	14%	21 Feb →
mirage	13–1	0.15	27%	21 Feb →
ancient	5–0	0.03	36%	21 Feb →
mirage	13–7	0.09	15%	21 Feb →
ancient	6–13	-0.09	11%	20 Feb →
overpass	13–4	0.05	31%	20 Feb →
inferno	13–3	-0.04	27%	20 Feb →
nuke	13–9	0.07	15%	20 Feb →
dust2	13–11	0.12	19%	19 Feb →
dust2	5–13	-0.03	21%	19 Feb →
ancient	13–2	0.01	13%	19 Feb →
mirage	13–11	0.04	11%	19 Feb →
ancient	13–8	0.04	14%	18 Feb →
inferno	13–4	0.12	15%	18 Feb →
nuke	11–4	-0.02	16%	18 Feb →
nuke	13–4	0.03	16%	18 Feb →
ancient	8–4	0.13	32%	18 Feb →
inferno	13–11	0.05	20%	18 Feb →
nuke	13–9	0.06	18%	18 Feb →
inferno	8–1	0.10	25%	18 Feb →
ancient	13–9	-0.00	9%	18 Feb →
dust2	13–4	0.08	33%	18 Feb →
mirage	14–16	-0.03	19%	17 Feb →
nuke	6–13	0.02	13%	17 Feb →
inferno	13–5	0.07	16%	17 Feb →
anubis	8–13	0.04	23%	17 Feb →
ancient	6–13	0.01	18%	17 Feb →
anubis	6–13	0.05	18%	17 Feb →
nuke	16–12	0.03	13%	17 Feb →
ancient	13–9	0.01	9%	17 Feb →
mirage	10–13	-0.01	15%	17 Feb →
inferno	13–9	0.06	12%	17 Feb →
nuke	13–8	0.04	17%	17 Feb →
mirage	11–13	0.01	4%	16 Feb →
overpass	13–7	0.04	11%	16 Feb →
dust2	10–13	0.00	14%	16 Feb →
dust2	2–13	-0.00	13%	16 Feb →
inferno	13–11	-0.03	15%	16 Feb →
mirage	10–13	0.02	12%	16 Feb →
nuke	7–13	-0.01	14%	14 Feb →
ancient	13–8	0.00	11%	14 Feb →
nuke	9–13	-0.02	23%	14 Feb →
anubis	10–13	0.02	10%	14 Feb →
mirage	11–13	-0.03	15%	13 Feb →
dust2	13–0	0.02	15%	13 Feb →
mirage	13–5	0.02	22%	13 Feb →
ancient	13–9	0.03	32%	13 Feb →
anubis	16–14	0.04	12%	12 Feb →
mirage	13–3	0.06	21%	12 Feb →
dust2	9–13	0.03	29%	12 Feb →
nuke	13–5	0.02	14%	12 Feb →
ancient	13–3	0.02	16%	12 Feb →
dust2	13–9	0.09	31%	12 Feb →
nuke	8–13	0.02	14%	12 Feb →
mirage	13–7	0.01	20%	12 Feb →
overpass	16–14	-0.00	22%	12 Feb →
ancient	13–6	0.04	10%	12 Feb →
anubis	16–13	0.02	17%	12 Feb →
ancient	13–10	-0.05	12%	12 Feb →
nuke	15–15	0.01	15%	12 Feb →
ancient	13–8	0.07	23%	12 Feb →
anubis	9–13	-0.06	14%	12 Feb →
ancient	13–6	0.02	11%	12 Feb →
dust2	0–6	-0.01	25%	12 Feb →
nuke	15–15	-0.01	17%	12 Feb →
dust2	13–7	0.03	22%	11 Feb →
anubis	10–13	0.03	27%	11 Feb →
dust2	13–6	-0.01	17%	11 Feb →