Lube-roast — CS2 Stats

DK76561198064786708[U:1:104520980]Steam profile ↗✓ No bans

550Tracked matches46%Win rate2021Tracked since

477Hours in CS

CSDB Rating4.6 Developing

Ladder ranks via Leetify

Performance scores

Aim58

Positioning41

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWLWWLLWLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.8

Aggression3.6

Utility3.1

Positioning4.1

Opening Duels0.5

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 77% playstyle similarity

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

Where you differ: lower utility contribution; 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 48% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Positioning4.1

Utility3.1

Mechanics6.3

Opening Duels2.3

Win Impact3.8

Composite 4.6/10 (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 rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time603ms−37ms

first ⅓ avg 640ms → last ⅓ avg 603ms

Headshot accuracy13.8%−0.3%

first ⅓ avg 14.1% → last ⅓ avg 13.8%

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

0.14Best rating — office 13–3

13–0Biggest win — office

9Longest win streak

12–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

officeBest map · 83% over 6overpassWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	10–9	53%	-0.03
ancient	S	13	10–3	77%	-0.03
anubis	C	13	5–8	38%	-0.02
dust2	A	12	7–5	58%	-0.03
overpass	D	11	3–8	27%	-0.04
train	A	11	7–4	64%	-0.01
cache	C	9	4–5	44%	-0.02
office	S	6	5–1	83%	-0.00
vertigo	—	2	1–1	50%	-0.04
alpine	—	2	1–1	50%	-0.05
shelter	—	1	1–0	100%	0.04
mirage	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,572Lifetime kills

0.79K/D

1,402Matches

40.0%Match win rate

34.1%Headshot %

10.8%Shot accuracy

1,661MVPs

477Hours (in match)

1,779Bombs planted

193Bombs defused

Most-used weapons

AK-474,111

M4A4 / M4A1-S3,760

AWP1,568

P2000 / USP-S800

MP7664

Galil AR647

FAMAS629

Glock-18507

Desert Eagle497

MP9496

Lifetime map wins

2,099dust2

1,718nuke

780train

728inferno

649vertigo

180office

53assault

48cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy

33.9%Accuracy (enemy spotted)

31.7%Spray accuracy

78.2%Counter-strafing

9.2°Preaim

609msReaction time

15.7%T opening success

48.3%CT opening success

0.44Enemies flashed / flash

5.1%Flash assists

7.19HE damage / grenade

3.64Flashes / 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 13.813% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4401 — below the 0.5 mark we flag
Grenade Lineups →
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 15.6729% — below the 40% mark we flag

Spend your practice time on Overpass

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	9–13	-0.01	10%	13 Jul →
office	13–3	0.14	21%	13 Jul →
nuke	8–13	-0.10	11%	10 Jul →
shelter	13–3	0.04	20%	10 Jul →
ancient	13–9	0.00	5%	10 Jul →
dust2	8–13	-0.00	20%	10 Jul →
anubis	8–13	0.05	20%	3 Jul →
nuke	13–8	-0.02	14%	3 Jul →
anubis	9–13	0.03	26%	3 Jul →
ancient	13–6	-0.08	14%	3 Jul →
anubis	8–13	-0.07	11%	11 Jun →
dust2	13–3	-0.02	17%	11 Jun →
anubis	13–9	0.00	11%	11 Jun →
nuke	16–13	-0.01	16%	10 Jun →
nuke	13–11	0.01	13%	10 Jun →
ancient	13–9	0.02	12%	8 Jun →
vertigo	5–13	-0.04	13%	7 Jun →
vertigo	13–11	-0.05	8%	7 Jun →
anubis	12–12	-0.03	15%	27 May →
dust2	16–14	-0.01	15%	23 May →
cache	8–13	-0.10	11%	20 May →
dust2	13–8	-0.05	10%	20 May →
ancient	13–16	0.01	16%	17 May →
anubis	9–13	-0.02	10%	17 May →
overpass	15–15	-0.04	12%	15 May →
nuke	4–13	-0.03	7%	15 May →
cache	7–13	0.13	17%	10 May →
cache	5–13	-0.11	12%	9 May →
cache	8–13	-0.07	20%	9 May →
anubis	1–13	-0.05	8%	9 May →
alpine	1–13	-0.14	0%	8 May →
cache	13–8	0.03	15%	6 May →
cache	13–1	0.05	25%	5 May →
cache	9–13	-0.04	14%	5 May →
cache	13–9	-0.06	35%	30 Apr →
cache	13–11	-0.02	15%	29 Apr →
train	13–2	0.08	15%	26 Apr →
nuke	3–13	-0.06	13%	20 Apr →
dust2	3–13	-0.03	7%	20 Apr →
nuke	13–9	-0.04	9%	15 Apr →
overpass	7–13	-0.04	20%	15 Apr →
alpine	13–1	0.04	17%	12 Apr →
anubis	13–4	-0.02	10%	5 Apr →
anubis	13–8	-0.02	11%	5 Apr →
nuke	13–9	-0.10	11%	21 Mar →
office	13–10	-0.02	7%	21 Mar →
office	13–7	-0.01	6%	20 Mar →
dust2	13–7	-0.03	7%	20 Mar →
office	13–9	-0.09	12%	20 Mar →
office	13–0	-0.03	10%	20 Mar →
anubis	9–13	-0.07	11%	15 Mar →
anubis	12–16	-0.04	5%	12 Mar →
nuke	13–7	-0.03	20%	5 Mar →
dust2	7–13	-0.06	18%	5 Mar →
mirage	13–11	-0.05	10%	2 Mar →
train	13–4	-0.04	37%	2 Mar →
ancient	13–10	-0.06	12%	28 Feb →
dust2	7–13	-0.07	10%	28 Feb →
train	2–13	-0.04	8%	28 Feb →
overpass	2–13	-0.03	7%	28 Feb →
overpass	11–13	-0.06	11%	27 Feb →
ancient	13–11	-0.04	11%	26 Jan →
dust2	16–13	-0.06	12%	23 Jan →
anubis	16–14	-0.03	11%	23 Jan →
anubis	13–3	-0.03	11%	23 Jan →
ancient	13–2	-0.02	16%	18 Jan →
dust2	9–13	0.01	28%	18 Jan →
train	6–13	-0.04	5%	17 Jan →
dust2	13–8	-0.00	14%	17 Jan →
overpass	13–10	-0.05	11%	14 Jan →
ancient	3–13	-0.07	14%	14 Jan →
nuke	10–13	-0.03	15%	13 Jan →
nuke	13–11	0.02	19%	10 Jan →
nuke	5–13	-0.06	15%	10 Jan →
train	5–13	-0.05	13%	8 Jan →
train	13–9	-0.05	16%	8 Jan →
overpass	13–8	0.05	18%	7 Jan →
nuke	13–6	-0.02	11%	7 Jan →
train	16–13	0.02	14%	7 Jan →
overpass	9–13	-0.00	21%	6 Jan →
train	13–5	-0.00	12%	6 Jan →
train	6–13	-0.01	15%	6 Jan →
nuke	6–13	-0.03	13%	2 Jan →
nuke	10–13	-0.04	16%	2 Jan →
train	13–7	0.03	16%	28 Dec →
overpass	11–13	-0.07	13%	28 Dec →
nuke	13–11	0.05	19%	26 Dec →
nuke	5–13	-0.08	6%	26 Dec →
overpass	13–11	-0.00	16%	26 Dec →
ancient	11–13	-0.04	18%	26 Dec →
overpass	6–13	-0.09	6%	26 Dec →
nuke	9–13	-0.02	13%	23 Dec →
ancient	13–11	-0.06	20%	23 Dec →
ancient	13–11	-0.01	19%	23 Dec →
ancient	13–8	-0.03	13%	23 Dec →
train	16–12	-0.01	15%	22 Dec →
nuke	13–5	-0.03	5%	22 Dec →
overpass	11–13	-0.05	15%	22 Dec →
ancient	13–7	-0.01	15%	22 Dec →
dust2	13–1	-0.02	15%	22 Dec →