Zoffy — CS2 Stats

CN76561199140414053[U:1:1180148325]Steam profile ↗✓ No bans

633Tracked matches43%Win rate2024Tracked since

1,493Hours in CS16Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim77

Positioning54

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLLWLLLWWWW

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.

Aim7.7

Aggression5.9

Utility5.7

Positioning5.4

Opening Duels1.6

Clutch2.6

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 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 572ms 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

Aim7.7

Positioning5.4

Utility5.7

Mechanics7.5

Opening Duels1.6

Win Impact2.8

Composite 5.8/10 (Solid), 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-0.01−0.05

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time579ms−68ms

first ⅓ avg 647ms → last ⅓ avg 579ms

Headshot accuracy11.9%−1.6%

first ⅓ avg 13.5% → last ⅓ avg 11.9%

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

0.17Best rating — dust2 13–9

13–1Biggest win — mirage

7Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 56% over 16officeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	31	13–18	42%	0.01
mirage	A	16	9–7	56%	-0.01
inferno	C	15	6–9	40%	-0.00
nuke	B	13	6–7	46%	0.03
office	D	11	3–8	27%	0.02
cache	C	10	4–6	40%	0.02
anubis	—	2	0–2	0%	-0.04
train	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Lifetime stats

32,824Lifetime kills

1.48K/D · Top 5% of tracked players

1,886Matches

51.1%Match win rate · Top 25% of tracked players

34.2%Headshot %

5.9%Shot accuracy

6,628MVPs

479Hours (in match)

2,212Bombs planted

698Bombs defused

Most-used weapons

AK-477,287

M4A4 / M4A1-S4,761

AWP3,965

Desert Eagle2,265

P2000 / USP-S1,146

Galil AR1,146

Knife1,021

Glock-18989

MP9937

SG 553709

Lifetime map wins

3,357dust2

2,204nuke

1,954inferno

520vertigo

407train

255office

94italy

87lake

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

Faceit stats

Combat

6Matches

17%Win rate

0.70Avg K/D

50.5ADR

48%Headshot %

Clutches & streaks

33%1v1 clutch win

50%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	33%	0.89	7.3
Dust2	2	0%	0.46	5.5
Nuke	1	0%	0.57	8.0

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.

12.1%Headshot accuracy

38.6%Accuracy (enemy spotted)

42.5%Spray accuracy

83.7%Counter-strafing

9.4°Preaim

572msReaction time

30.4%T opening success

42.3%CT opening success

0.57Enemies flashed / flash

8.0%Flash assists

8.10HE damage / grenade

11.70Flashes / 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 12.0538% — below the 15% mark we flag
Aim Training →
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 30.4264% — below the 40% mark we flag

Spend your practice time on Inferno

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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.07	15%	29 Aug →
inferno	7–13	-0.07	13%	28 Aug →
dust2	13–10	0.01	18%	28 Aug →
anubis	2–6	-0.10	17%	28 Aug →
mirage	8–13	-0.06	10%	22 Aug →
inferno	10–13	-0.03	15%	22 Aug →
inferno	13–9	0.03	9%	22 Aug →
dust2	13–9	-0.01	10%	22 Aug →
nuke	13–8	0.02	7%	22 Aug →
mirage	13–1	0.02	13%	21 Aug →
dust2	13–9	0.03	14%	21 Aug →
inferno	13–9	0.08	12%	21 Aug →
inferno	13–10	0.06	8%	21 Aug →
inferno	3–13	-0.06	14%	15 Aug →
inferno	4–13	-0.10	11%	15 Aug →
inferno	13–9	-0.05	10%	15 Aug →
dust2	13–5	0.00	12%	15 Aug →
nuke	2–13	-0.08	12%	15 Aug →
dust2	13–1	0.06	15%	15 Aug →
dust2	12–16	-0.03	13%	14 Aug →
dust2	13–11	-0.03	15%	14 Aug →
dust2	13–9	-0.06	6%	14 Aug →
dust2	11–13	0.10	16%	14 Aug →
dust2	7–13	0.03	14%	14 Aug →
mirage	6–13	-0.02	11%	14 Aug →
dust2	10–13	0.01	12%	14 Aug →
dust2	7–13	-0.06	18%	8 Aug →
mirage	5–13	0.09	8%	8 Aug →
office	5–12	-0.07	13%	8 Aug →
dust2	8–13	-0.04	6%	8 Aug →
mirage	13–9	-0.01	15%	8 Aug →
anubis	14–16	0.02	5%	8 Aug →
dust2	10–13	-0.02	8%	7 Aug →
inferno	13–4	0.00	4%	7 Aug →
dust2	13–3	-0.00	12%	26 Jun →
cache	7–13	0.02	8%	26 Jun →
office	7–13	-0.01	8%	26 Jun →
nuke	12–12	0.11	10%	26 Jun →
mirage	4–13	0.03	17%	26 Jun →
dust2	9–13	-0.00	20%	26 Jun →
cache	13–8	0.02	10%	26 Jun →
office	13–5	0.02	32%	26 Jun →
dust2	13–11	0.06	19%	26 Jun →
mirage	13–7	-0.03	17%	26 Jun →
dust2	3–13	-0.03	17%	26 Jun →
cache	13–7	0.03	9%	26 Jun →
dust2	11–13	-0.03	10%	26 Jun →
inferno	4–13	-0.02	10%	25 Jun →
dust2	7–13	-0.02	17%	25 Jun →
office	10–13	-0.04	0%	25 Jun →
nuke	4–13	-0.02	14%	25 Jun →
nuke	9–13	-0.03	10%	24 Jun →
office	7–13	0.03	26%	24 Jun →
dust2	8–13	-0.05	4%	24 Jun →
dust2	13–2	0.00	19%	20 Jun →
mirage	13–11	0.08	5%	20 Jun →
nuke	13–2	0.11	3%	18 Jun →
train	11–13	0.03	9%	18 Jun →
train	10–12	0.01	13%	18 Jun →
office	13–6	0.03	30%	17 Jun →
cache	13–4	-0.03	4%	17 Jun →
mirage	13–11	-0.03	13%	15 Jun →
mirage	13–8	0.02	10%	15 Jun →
nuke	13–10	0.04	15%	15 Jun →
nuke	0–4	0.06	75%	15 Jun →
inferno	8–13	-0.00	7%	13 Jun →
mirage	5–13	-0.01	22%	13 Jun →
inferno	13–10	0.02	15%	12 Jun →
dust2	13–7	0.04	16%	12 Jun →
cache	3–9	0.08	11%	10 Jun →
inferno	8–13	0.09	13%	10 Jun →
dust2	12–12	-0.04	10%	6 Jun →
mirage	9–13	-0.04	9%	6 Jun →
cache	8–13	0.00	6%	6 Jun →
cache	3–13	0.02	17%	5 Jun →
mirage	13–11	-0.06	7%	5 Jun →
mirage	16–14	-0.06	10%	4 Jun →
nuke	11–13	0.03	14%	3 Jun →
nuke	13–6	0.11	14%	3 Jun →
cache	8–13	0.03	17%	3 Jun →
inferno	3–13	0.03	7%	3 Jun →
dust2	10–5	0.08	21%	3 Jun →
dust2	13–9	0.17	18%	3 Jun →
mirage	13–8	-0.05	12%	3 Jun →
inferno	12–12	0.04	7%	2 Jun →
nuke	5–13	-0.06	3%	28 May →
dust2	12–12	0.04	23%	27 May →
nuke	13–5	0.00	6%	27 May →
office	5–13	0.01	19%	27 May →
office	7–13	0.09	23%	27 May →
dust2	11–13	0.04	10%	26 May →
cache	7–13	0.01	13%	26 May →
dust2	8–13	0.03	17%	26 May →
office	11–13	0.08	31%	25 May →
mirage	10–13	-0.01	7%	25 May →
dust2	6–13	0.12	15%	24 May →
office	5–13	0.01	5%	23 May →
office	13–8	0.11	21%	23 May →
nuke	4–0	0.10	0%	23 May →
cache	6–0	0.02	30%	23 May →