aimless — CS2 Stats

76561198116510760[U:1:156245032]Steam profile ↗✓ No bans

455Tracked matches60%Win rate2021Tracked since

3,326Hours in CS0Hrs last 2 wks

CSDB Rating7.2 StrongAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim84

Positioning70

Utility74

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateLLLWWWWWWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression9.9

Utility7.4

Positioning7.0

Opening Duels5.0

Clutch5.6

Strong CT-side openerEffective flashes

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 ZywOo 96% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim8.4

Positioning7.0

Utility7.4

Mechanics7.9

Opening Duels5.0

Win Impact8.3

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time603ms−21ms

first ⅓ avg 624ms → last ⅓ avg 603ms

Headshot accuracy23.4%−4.0%

first ⅓ avg 27.4% → 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

0.16Best rating — nuke 13–2

13–1Biggest win — overpass

8Longest win streak

L3Current streak

13–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 82% over 11dust2Weakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	0.04
inferno	A	19	11–8	58%	0.01
overpass	B	14	7–7	50%	0.02
ancient	B	12	6–6	50%	0.02
nuke	S	11	9–2	82%	0.04
cache	A	10	6–4	60%	0.01
dust2	C	5	2–3	40%	-0.01
anubis	—	4	2–2	50%	-0.04
train	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,967Lifetime kills

1.29K/D · Top 25% of tracked players

8,574Matches

72.3%Match win rate · Top 1% of tracked players

54.9%Headshot % · Top 25% of tracked players

15.8%Shot accuracy · Top 25% of tracked players

8,773MVPs

2,997Hours (in match)

1,696Bombs planted

665Bombs defused

Most-used weapons

AK-4738,869

M4A4 / M4A1-S18,405

AWP6,335

P2000 / USP-S5,465

Negev4,289

Desert Eagle3,646

Glock-182,694

P2502,055

P901,350

Galil AR1,332

Lifetime map wins

5,803nuke

4,398dust2

3,022inferno

353train

165vertigo

162italy

151office

130dust

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

Faceit stats

Combat

87Matches

71%Win rate

1.38Avg K/D

99.5ADR

55%Headshot %

Clutches & streaks

48%1v1 clutch win

25%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	94%	1.60	20.6
Anubis	12	75%	1.43	19.8
Inferno	9	67%	1.33	18.2
Ancient	7	86%	1.48	20.3
Overpass	4	50%	0.94	14.8
Nuke	4	100%	2.60	24.0
Vertigo	2	50%	1.68	21.5
Dust2	2	50%	1.24	19.0

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.

23.5%Headshot accuracy

35.7%Accuracy (enemy spotted)

39.1%Spray accuracy

85.6%Counter-strafing

8.8°Preaim

592msReaction time

38.9%T opening success

60.8%CT opening success

0.71Enemies flashed / flash

12.1%Flash assists

12.05HE damage / grenade

12.05Flashes / 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 38.8967% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	0.01	36%	12 Aug →
ancient	6–13	-0.02	21%	23 Jul →
inferno	9–13	-0.03	19%	18 Jul →
cache	13–7	0.02	29%	16 Jul →
mirage	13–8	0.06	32%	14 Jul →
cache	13–5	0.02	18%	14 Jul →
inferno	16–14	0.03	16%	12 Jul →
nuke	13–2	0.16	27%	12 Jul →
mirage	16–14	0.02	29%	12 Jul →
mirage	13–8	0.11	24%	11 Jul →
nuke	13–7	0.05	12%	11 Jul →
mirage	12–16	0.06	21%	11 Jul →
mirage	2–13	-0.06	15%	10 Jul →
cache	1–13	-0.08	26%	10 Jul →
ancient	16–12	0.06	25%	9 Jul →
cache	13–11	-0.01	27%	9 Jul →
mirage	13–5	0.06	26%	9 Jul →
dust2	6–13	-0.07	11%	9 Jul →
cache	16–13	-0.00	22%	9 Jul →
inferno	16–12	-0.00	21%	8 Jul →
nuke	11–13	-0.01	22%	4 Jul →
dust2	9–13	0.03	23%	4 Jul →
inferno	13–11	0.06	34%	4 Jul →
inferno	9–7	0.02	28%	4 Jul →
mirage	13–6	0.03	16%	4 Jul →
nuke	13–11	0.03	19%	2 Jul →
overpass	8–13	-0.00	24%	28 Jun →
ancient	16–14	0.05	19%	26 Jun →
nuke	13–11	0.10	35%	25 Jun →
inferno	10–13	-0.06	32%	24 Jun →
mirage	12–16	-0.01	22%	24 Jun →
overpass	13–9	0.04	23%	14 Jun →
mirage	4–13	0.05	19%	13 Jun →
mirage	13–5	0.06	27%	13 Jun →
ancient	8–4	0.06	15%	13 Jun →
overpass	13–1	0.08	18%	13 Jun →
overpass	9–13	0.03	16%	8 Jun →
overpass	9–7	0.01	16%	4 Jun →
inferno	2–9	-0.10	29%	4 Jun →
ancient	10–13	0.04	23%	4 Jun →
overpass	6–13	-0.03	13%	4 Jun →
mirage	11–13	0.03	29%	2 Jun →
ancient	13–10	-0.05	24%	2 Jun →
nuke	13–6	0.00	32%	2 Jun →
mirage	9–13	0.03	15%	31 May →
nuke	13–6	0.01	43%	27 May →
anubis	8–6	0.00	46%	27 May →
inferno	13–9	-0.00	19%	25 May →
cache	1–13	-0.04	40%	19 May →
dust2	13–5	0.04	17%	11 May →
mirage	7–13	-0.03	33%	11 May →
cache	13–10	0.11	33%	9 May →
cache	11–13	0.06	34%	9 May →
overpass	4–13	-0.04	18%	8 May →
inferno	10–13	0.08	28%	8 May →
overpass	13–2	0.07	29%	8 May →
inferno	6–13	-0.02	18%	8 May →
overpass	13–7	0.07	22%	8 May →
anubis	13–4	-0.13	0%	8 May →
dust2	5–13	0.02	21%	8 May →
nuke	13–9	0.01	23%	4 May →
overpass	9–13	0.06	22%	3 May →
ancient	13–8	-0.00	33%	3 May →
mirage	13–7	0.04	29%	3 May →
anubis	8–13	-0.04	26%	3 May →
mirage	13–9	0.07	15%	3 May →
inferno	13–8	0.00	32%	2 May →
mirage	13–4	0.03	39%	2 May →
mirage	15–15	0.02	23%	30 Apr →
anubis	8–13	0.02	18%	30 Apr →
cache	7–13	0.03	26%	30 Apr →
cache	13–5	0.00	27%	30 Apr →
inferno	13–11	0.10	21%	24 Apr →
ancient	16–13	0.08	22%	24 Apr →
mirage	10–13	0.01	22%	21 Apr →
inferno	16–13	0.02	17%	21 Apr →
inferno	13–9	0.07	31%	13 Feb →
overpass	10–13	-0.05	19%	15 Jan →
nuke	13–5	-0.01	40%	15 Jan →
mirage	11–13	0.00	28%	1 Jan →
inferno	12–16	0.03	32%	28 Dec →
mirage	6–13	0.03	28%	28 Dec →
overpass	6–13	0.04	23%	24 Dec →
mirage	16–13	0.04	52%	24 Dec →
mirage	13–6	0.12	31%	24 Dec →
overpass	16–12	0.02	18%	23 Dec →
ancient	6–13	-0.00	26%	23 Dec →
mirage	13–8	0.09	25%	23 Dec →
nuke	10–13	0.03	29%	19 Dec →
inferno	13–11	-0.08	29%	17 Dec →
inferno	7–9	-0.04	19%	17 Dec →
nuke	16–14	0.03	30%	16 Dec →
train	5–13	0.05	37%	16 Dec →
ancient	5–13	0.01	22%	16 Dec →
inferno	13–10	0.07	32%	15 Dec →
dust2	13–6	-0.04	25%	13 Dec →
mirage	13–1	0.06	36%	13 Dec →
ancient	4–13	0.01	28%	13 Dec →
overpass	13–2	-0.00	15%	13 Dec →
inferno	2–13	0.02	34%	13 Dec →