Funkee_Smoke — CS2 Stats

76561199811604247[U:1:1851338519]

877Tracked matches43%Win rate2025Tracked since

884Hours in CS10Hrs last 2 wks

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating14,890Blue band · top ~29% of ranked players (population est.)

CSDB Leaderboard#8741 of 13325 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning50

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWLWLLLWLW

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

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

Aim6.8

Aggression7.0

Utility3.2

Positioning5.0

Opening Duels3.5

Clutch0.0

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 ropz 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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

Reaction time. 624ms 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

Aim6.8

Positioning5.0

Utility3.2

Mechanics7.7

Opening Duels3.5

Win Impact2.8

Composite 5.0/10 (Developing), 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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time631ms−31ms

first ⅓ avg 661ms → last ⅓ avg 631ms

Headshot accuracy15.5%−0.2%

first ⅓ avg 15.8% → last ⅓ avg 15.5%

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

0.14Best rating — vertigo 13–6

13–1Biggest win — nuke

5Longest win streak

6–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 67% over 9cacheWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	21	7–14	33%	-0.02
nuke	C	19	8–11	42%	-0.00
office	C	10	4–6	40%	0.02
anubis	B	10	5–5	50%	-0.01
vertigo	S	9	6–3	67%	0.01
train	S	9	6–3	67%	-0.00
mirage	C	9	4–5	44%	-0.06
dust2	—	4	2–2	50%	0.00
ancient	—	3	0–3	0%	-0.05
inferno	—	2	2–0	100%	0.03
poseidon	—	1	0–1	0%	-0.17
debris	—	1	1–0	100%	0.04
boulder	—	1	1–0	100%	0.04
fachwerk	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

16,724Lifetime kills

0.81K/D

1,304Matches

53.1%Match win rate · Top 10% of tracked players

40.7%Headshot %

0.0%Shot accuracy

2,075MVPs

444Hours (in match)

824Bombs planted

182Bombs defused

Most-used weapons

AK-475,287

M4A4 / M4A1-S3,257

AWP983

P2000 / USP-S880

MP9827

Glock-18703

MAG-7520

XM1014494

P90458

Nova449

Lifetime map wins

3,781nuke

985vertigo

956train

597inferno

415dust2

344office

66italy

1ar_shoots

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

Faceit stats

Combat

4Matches

50%Win rate

0.68Avg K/D

60.6ADR

47%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Train	1	100%	0.45	9.0
Nuke	1	0%	0.53	9.0
Mirage	1	0%	0.67	12.0
Dust2	1	100%	1.05	22.0

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.

15.6%Headshot accuracy

34.9%Accuracy (enemy spotted)

39.9%Spray accuracy

84.7%Counter-strafing

10.2°Preaim

624msReaction time

37.8%T opening success

50.4%CT opening success

0.48Enemies flashed / flash

3.4%Flash assists

7.13HE damage / grenade

5.47Flashes / 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 0.484 — 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 37.8117% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	5–13	0.03	23%	24 Aug →
office	13–11	0.06	19%	22 Aug →
cache	5–13	-0.12	3%	22 Aug →
nuke	13–11	0.06	14%	21 Aug →
nuke	11–13	-0.01	8%	21 Aug →
office	7–13	0.06	13%	20 Aug →
cache	7–13	-0.01	17%	20 Aug →
vertigo	13–8	0.02	15%	20 Aug →
nuke	3–13	0.02	16%	19 Aug →
office	13–9	-0.03	26%	18 Aug →
dust2	13–8	0.02	18%	18 Aug →
poseidon	4–9	-0.17	11%	15 Aug →
debris	9–5	0.04	13%	15 Aug →
train	13–9	-0.01	16%	15 Aug →
nuke	5–13	-0.11	30%	15 Aug →
train	3–13	-0.04	12%	13 Aug →
mirage	8–13	-0.08	10%	13 Aug →
cache	13–7	-0.03	14%	11 Aug →
train	13–9	-0.03	2%	8 Aug →
anubis	2–13	-0.04	12%	8 Aug →
vertigo	13–7	-0.03	10%	30 Jul →
anubis	13–6	0.09	19%	27 Jul →
train	13–10	0.05	14%	22 Jul →
vertigo	13–6	0.14	21%	22 Jul →
boulder	13–8	0.04	12%	21 Jul →
office	0–11	-0.00	21%	12 Jul →
vertigo	6–13	-0.02	18%	12 Jul →
anubis	2–5	-0.05	8%	12 Jul →
nuke	8–13	-0.04	5%	12 Jul →
cache	3–6	0.00	29%	12 Jul →
office	11–13	-0.05	38%	9 Jul →
fachwerk	7–13	-0.01	13%	9 Jul →
office	11–13	0.07	16%	8 Jul →
office	13–6	0.00	26%	8 Jul →
cache	5–13	-0.06	16%	1 Jul →
cache	8–13	0.03	18%	1 Jul →
nuke	12–12	-0.02	16%	27 Jun →
nuke	13–10	0.00	11%	26 Jun →
nuke	8–13	-0.02	16%	24 Jun →
cache	13–5	0.01	10%	24 Jun →
nuke	12–12	-0.04	15%	24 Jun →
cache	3–13	-0.09	10%	24 Jun →
cache	13–5	0.09	26%	22 Jun →
cache	6–9	-0.03	11%	22 Jun →
mirage	3–13	-0.08	14%	22 Jun →
train	3–13	-0.02	19%	20 Jun →
train	13–7	0.01	26%	17 Jun →
vertigo	7–13	0.01	22%	16 Jun →
ancient	10–13	-0.04	5%	10 Jun →
nuke	7–13	-0.04	26%	9 Jun →
nuke	13–5	0.11	20%	9 Jun →
mirage	3–13	-0.06	12%	9 Jun →
nuke	13–1	0.08	18%	9 Jun →
cache	13–10	-0.05	11%	9 Jun →
cache	12–12	-0.06	15%	8 Jun →
ancient	10–13	-0.05	9%	7 Jun →
inferno	13–10	0.03	11%	7 Jun →
anubis	16–14	0.04	21%	6 Jun →
office	12–12	-0.03	11%	4 Jun →
vertigo	13–10	0.00	10%	3 Jun →
vertigo	13–3	-0.02	12%	3 Jun →
cache	4–13	-0.00	23%	2 Jun →
cache	12–12	-0.02	12%	2 Jun →
anubis	13–11	-0.07	9%	1 Jun →
nuke	13–11	-0.06	17%	1 Jun →
nuke	13–5	0.01	18%	31 May →
anubis	13–6	0.00	14%	31 May →
anubis	1–5	0.05	31%	31 May →
anubis	0–13	-0.14	9%	29 May →
nuke	13–10	0.05	23%	29 May →
nuke	6–13	-0.03	15%	23 May →
cache	13–9	-0.04	12%	15 May →
office	13–6	0.02	17%	14 May →
office	12–12	0.07	20%	14 May →
cache	13–9	-0.03	5%	7 May →
cache	13–8	0.05	20%	7 May →
cache	6–13	-0.05	7%	29 Apr →
cache	7–13	-0.03	17%	29 Apr →
cache	9–13	-0.07	14%	29 Apr →
train	13–8	0.03	18%	22 Apr →
anubis	13–6	0.04	22%	15 Apr →
vertigo	13–4	0.02	20%	8 Apr →
train	2–13	0.01	10%	4 Apr →
nuke	10–13	-0.05	10%	1 Apr →
nuke	13–5	-0.03	8%	1 Apr →
anubis	1–13	-0.04	9%	1 Apr →
dust2	8–13	0.02	19%	31 Mar →
mirage	13–9	-0.05	6%	30 Mar →
mirage	13–3	0.03	22%	30 Mar →
mirage	7–13	-0.11	10%	29 Mar →
train	13–11	-0.01	19%	28 Mar →
mirage	13–6	-0.09	13%	28 Mar →
nuke	8–13	0.03	15%	28 Mar →
dust2	8–13	-0.04	21%	27 Mar →
vertigo	12–12	-0.02	9%	27 Mar →
mirage	5–13	-0.03	24%	26 Mar →
mirage	13–2	-0.04	30%	26 Mar →
dust2	11–1	0.01	14%	26 Mar →
inferno	13–5	0.03	20%	26 Mar →
ancient	15–15	-0.07	13%	26 Mar →