doyouexist — CS2 Stats

76561199476330795[U:1:1516065067]✓ No bans

275Tracked matches44%Win rate2023Tracked since

538Hours in CS7Hrs last 2 wks

CSDB Rating4.1 DevelopingHybrid Rifler

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim61

Positioning46

Utility29

0–100 skill scores via Leetify.

Recent form

COLD43–46–11Last 10043%Win rateWLTLWLLLWL

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

Player DNA

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

Aim6.1

Aggression5.4

Utility2.9

Positioning4.6

Opening Duels1.0

Clutch3.0

Limited utility dependence

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 81% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 625ms 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

Aim6.1

Positioning4.6

Utility2.9

Mechanics6.3

Opening Duels1.0

Win Impact3.1

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time620ms+15ms

first ⅓ avg 605ms → last ⅓ avg 620ms

Headshot accuracy17.8%+2.0%

first ⅓ avg 15.8% → last ⅓ avg 17.8%

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 — nuke 13–8

13–3Biggest win — mirage

3Longest win streak

3–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	21	6–15	29%	-0.03
inferno	C	20	8–12	40%	-0.01
mirage	B	19	10–9	53%	-0.03
nuke	C	13	5–8	38%	-0.02
ancient	A	11	6–5	55%	-0.02
anubis	S	6	4–2	67%	-0.01
overpass	—	4	1–3	25%	-0.05
train	—	4	2–2	50%	-0.01
cache	—	1	1–0	100%	-0.02
office	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,077Lifetime kills

1.19K/D · Top 25% of tracked players

733Matches

57.3%Match win rate · Top 5% of tracked players

47.3%Headshot % · Top 50% of tracked players

2.3%Shot accuracy

1,281MVPs

257Hours (in match)

449Bombs planted

111Bombs defused

Most-used weapons

AK-474,477

M4A4 / M4A1-S2,453

AWP885

Desert Eagle386

P2000 / USP-S385

MP7335

Galil AR300

XM1014240

Glock-18185

Tec-9175

Lifetime map wins

1,194dust2

1,013nuke

866inferno

235vertigo

187train

125office

44italy

7cbble

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

Faceit stats

Combat

47Matches

47%Win rate

0.99Avg K/D

80.6ADR

44%Headshot %

Clutches & streaks

35%1v1 clutch win

15%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	11	64%	0.93	14.8
Dust2	9	56%	1.15	14.9
Mirage	8	12%	0.86	16.1
Ancient	7	29%	0.94	17.9
Inferno	4	50%	0.83	12.3
Overpass	4	50%	1.18	17.3
Train	2	50%	1.22	17.5
Anubis	1	100%	1.00	10.0

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.

17.9%Headshot accuracy

35.5%Accuracy (enemy spotted)

31.0%Spray accuracy

78.6%Counter-strafing

9.9°Preaim

625msReaction time

33.5%T opening success

34.6%CT opening success

0.39Enemies flashed / flash

6.1%Flash assists

3.20HE damage / grenade

3.76Flashes / 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.

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 0.3932 — 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 33.5334% — 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.

29% win rate across 21 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
cache	13–8	-0.02	24%	23 Aug →
mirage	4–13	-0.03	50%	12 Aug →
dust2	12–12	-0.04	17%	10 Aug →
nuke	11–13	-0.00	7%	5 Aug →
dust2	13–10	-0.08	12%	5 Aug →
mirage	8–13	-0.05	19%	3 Aug →
ancient	10–13	-0.07	19%	1 Aug →
dust2	7–13	-0.04	15%	1 Aug →
ancient	13–10	-0.05	18%	30 Jul →
ancient	8–13	-0.05	32%	28 Jun →
inferno	15–15	-0.03	15%	28 Jun →
dust2	14–16	-0.06	16%	28 Jun →
dust2	8–13	-0.02	21%	20 Jun →
mirage	13–11	-0.04	12%	20 Jun →
nuke	13–7	0.01	16%	17 Jun →
mirage	13–10	-0.07	11%	17 Jun →
nuke	8–8	-0.15	26%	16 Jun →
inferno	4–9	-0.20	0%	16 Jun →
inferno	12–12	-0.03	4%	14 Jun →
overpass	13–10	-0.03	7%	14 Jun →
dust2	5–13	-0.06	12%	14 Jun →
mirage	13–7	-0.02	18%	23 May →
inferno	10–13	0.07	17%	16 Apr →
inferno	13–10	-0.03	15%	13 Apr →
nuke	4–13	-0.01	20%	12 Apr →
dust2	13–11	0.03	18%	12 Apr →
mirage	13–10	-0.03	21%	11 Apr →
inferno	8–13	-0.06	29%	11 Apr →
nuke	4–13	-0.01	26%	30 Mar →
nuke	13–7	-0.07	25%	29 Mar →
mirage	8–13	-0.06	25%	20 Mar →
dust2	10–13	-0.05	13%	19 Mar →
mirage	7–13	-0.05	8%	14 Mar →
dust2	8–13	-0.01	21%	13 Mar →
dust2	3–1	-0.01	13%	13 Mar →
nuke	7–13	-0.02	16%	13 Mar →
mirage	11–13	-0.02	15%	13 Mar →
inferno	5–13	-0.05	11%	12 Mar →
dust2	13–7	-0.01	11%	12 Mar →
dust2	12–12	-0.04	13%	11 Mar →
mirage	12–12	-0.09	10%	11 Mar →
ancient	13–6	0.13	23%	11 Mar →
inferno	9–13	0.05	15%	10 Mar →
train	10–13	-0.03	19%	6 Mar →
inferno	8–13	-0.03	15%	6 Mar →
train	12–12	-0.08	7%	5 Mar →
inferno	13–7	-0.01	13%	5 Mar →
nuke	12–12	0.01	15%	5 Mar →
ancient	4–6	-0.02	20%	5 Mar →
nuke	13–5	-0.06	18%	4 Mar →
train	13–4	0.03	17%	3 Mar →
train	13–9	0.03	23%	2 Mar →
dust2	11–13	-0.06	13%	2 Mar →
anubis	13–10	-0.02	7%	2 Mar →
inferno	13–7	0.03	7%	2 Mar →
inferno	8–13	-0.02	12%	26 Feb →
ancient	13–8	-0.04	8%	26 Feb →
inferno	13–9	-0.04	4%	10 Feb →
dust2	13–9	-0.06	12%	10 Feb →
dust2	5–13	-0.01	12%	9 Feb →
inferno	8–13	-0.00	12%	9 Feb →
mirage	13–3	0.02	42%	8 Feb →
overpass	2–13	-0.08	11%	8 Feb →
dust2	13–8	-0.03	17%	8 Feb →
anubis	13–3	0.05	21%	8 Feb →
dust2	12–12	-0.02	13%	8 Feb →
anubis	13–9	-0.01	19%	7 Feb →
dust2	10–13	-0.03	11%	6 Feb →
mirage	13–8	-0.02	19%	5 Feb →
dust2	11–13	-0.07	9%	5 Feb →
ancient	13–9	-0.02	16%	5 Feb →
nuke	6–13	-0.02	8%	4 Feb →
mirage	13–9	-0.01	9%	4 Feb →
nuke	13–8	0.14	15%	3 Feb →
inferno	9–13	-0.03	15%	3 Feb →
nuke	8–8	-0.09	8%	3 Feb →
ancient	13–8	0.03	24%	2 Feb →
dust2	7–13	0.00	24%	2 Feb →
mirage	13–8	0.04	23%	2 Feb →
inferno	13–8	-0.00	16%	2 Feb →
ancient	13–6	-0.04	21%	2 Feb →
inferno	7–13	0.00	11%	2 Feb →
ancient	6–13	-0.03	26%	31 Jan →
mirage	13–7	-0.04	13%	31 Jan →
anubis	5–13	-0.05	4%	31 Jan →
mirage	11–13	-0.04	17%	31 Jan →
office	12–12	-0.01	24%	30 Jan →
inferno	13–5	0.00	12%	30 Jan →
overpass	9–13	-0.07	2%	30 Jan →
anubis	7–13	-0.04	21%	30 Jan →
anubis	13–4	0.01	10%	30 Jan →
dust2	4–13	-0.03	19%	30 Jan →
inferno	12–2	0.11	24%	29 Jan →
ancient	9–13	-0.10	11%	29 Jan →
mirage	11–13	-0.05	22%	29 Jan →
nuke	16–13	-0.06	20%	29 Jan →
mirage	13–6	0.02	20%	29 Jan →
overpass	9–13	-0.01	11%	29 Jan →
mirage	11–13	-0.04	9%	29 Jan →
inferno	13–4	0.00	29%	29 Jan →