Yourfluffyness — CS2 Stats

76561198150112789[U:1:189847061]

2,929Tracked matches47%Win rate2020Tracked since

3,460Hours in CS25Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating15,638Purple band · top ~25.9% of ranked players (population est.)

CSDB Leaderboard#8359 of 13227 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning57

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLWLWLWWLW

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.

Aim6.3

Aggression7.6

Utility6.1

Positioning5.7

Opening Duels4.1

Strong CT-side opener

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 iM 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim6.3

Positioning5.7

Utility6.1

Mechanics6.2

Opening Duels4.1

Win Impact3.9

Composite 5.7/10 (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-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time641ms−28ms

first ⅓ avg 669ms → last ⅓ avg 641ms

Headshot accuracy20.2%−2.6%

first ⅓ avg 22.8% → last ⅓ avg 20.2%

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

0.20Best rating — mirage 13–0

13–0Biggest win — mirage

6Longest win streak

L2Current streak

9–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 67% over 9anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	24	14–10	58%	0.02
mirage	A	16	9–7	56%	0.03
inferno	B	15	7–8	47%	-0.00
anubis	D	15	5–10	33%	0.00
ancient	C	11	4–7	36%	0.00
cache	A	10	6–4	60%	-0.01
nuke	S	9	6–3	67%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,939Lifetime kills

0.99K/D

5,681Matches

38.7%Match win rate

43.7%Headshot %

16.6%Shot accuracy · Top 25% of tracked players

11,112MVPs

2,134Hours (in match)

7,237Bombs planted

946Bombs defused

Most-used weapons

AK-4720,410

AWP18,687

M4A4 / M4A1-S15,656

P907,591

P2000 / USP-S5,557

Desert Eagle4,502

Glock-184,291

SSG 082,910

XM10142,702

MAC-102,329

Lifetime map wins

11,413dust2

7,449inferno

4,419nuke

3,830vertigo

2,262train

358office

228lake

220safehouse

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.

20.7%Headshot accuracy

34.7%Accuracy (enemy spotted)

32.1%Spray accuracy

77.8%Counter-strafing

9.9°Preaim

643msReaction time

38.7%T opening success

53.8%CT opening success

0.69Enemies flashed / flash

3.9%Flash assists

10.75HE damage / grenade

10.97Flashes / 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 38.7378% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.02	20%	28 Aug →
ancient	3–13	-0.04	19%	28 Aug →
dust2	13–7	-0.03	24%	27 Aug →
anubis	7–13	-0.07	29%	27 Aug →
inferno	13–7	0.01	16%	27 Aug →
nuke	5–13	-0.02	29%	27 Aug →
inferno	16–12	-0.02	18%	26 Aug →
cache	13–11	0.02	31%	26 Aug →
dust2	5–13	-0.07	9%	26 Aug →
inferno	13–10	0.01	23%	26 Aug →
nuke	6–13	-0.03	30%	25 Aug →
anubis	7–13	-0.03	16%	25 Aug →
dust2	13–6	0.01	25%	23 Aug →
anubis	13–10	0.09	17%	22 Aug →
mirage	13–9	0.06	23%	22 Aug →
inferno	7–13	-0.06	22%	21 Aug →
dust2	13–10	0.05	11%	21 Aug →
anubis	2–13	-0.07	19%	21 Aug →
ancient	8–13	-0.01	20%	20 Aug →
inferno	11–13	0.00	11%	20 Aug →
mirage	4–13	-0.06	20%	20 Aug →
nuke	13–4	-0.05	17%	18 Aug →
mirage	11–13	-0.02	26%	18 Aug →
dust2	13–3	-0.06	18%	18 Aug →
cache	13–5	0.01	21%	18 Aug →
cache	13–8	0.01	22%	17 Aug →
dust2	14–16	0.09	31%	17 Aug →
mirage	13–9	0.01	20%	17 Aug →
anubis	9–13	0.01	19%	15 Aug →
ancient	13–16	0.01	15%	15 Aug →
anubis	11–13	0.05	16%	15 Aug →
ancient	12–16	0.03	14%	14 Aug →
dust2	13–5	0.04	19%	14 Aug →
inferno	15–15	0.04	26%	14 Aug →
dust2	13–3	0.06	25%	14 Aug →
anubis	13–10	-0.04	17%	14 Aug →
dust2	5–13	-0.02	19%	14 Aug →
dust2	13–11	0.11	19%	13 Aug →
nuke	13–6	0.05	31%	13 Aug →
dust2	11–13	-0.01	13%	12 Aug →
mirage	13–10	0.05	28%	12 Aug →
dust2	8–13	0.05	29%	12 Aug →
mirage	13–9	0.07	30%	10 Aug →
cache	13–10	0.05	24%	10 Aug →
inferno	6–13	0.03	21%	10 Aug →
ancient	8–13	-0.04	29%	9 Aug →
mirage	13–6	-0.00	31%	9 Aug →
inferno	11–13	-0.01	29%	9 Aug →
mirage	13–0	0.20	36%	9 Aug →
dust2	13–9	-0.01	23%	9 Aug →
nuke	16–13	-0.01	13%	8 Aug →
mirage	9–13	-0.05	48%	8 Aug →
anubis	13–6	0.03	29%	8 Aug →
dust2	16–14	0.00	20%	8 Aug →
cache	4–13	-0.00	30%	8 Aug →
dust2	13–9	-0.04	26%	8 Aug →
anubis	5–13	-0.01	24%	7 Aug →
mirage	8–13	-0.01	30%	6 Aug →
ancient	13–11	0.02	23%	6 Aug →
nuke	13–11	-0.05	19%	6 Aug →
dust2	11–13	0.07	24%	6 Aug →
mirage	10–13	0.06	32%	5 Aug →
inferno	13–2	0.07	16%	5 Aug →
anubis	15–15	-0.01	19%	4 Aug →
dust2	13–11	-0.02	26%	4 Aug →
mirage	13–8	0.09	29%	4 Aug →
inferno	13–3	-0.00	42%	4 Aug →
inferno	13–16	-0.04	12%	3 Aug →
ancient	15–15	-0.03	20%	3 Aug →
inferno	13–11	-0.05	26%	31 Jul →
cache	13–3	0.03	21%	31 Jul →
anubis	13–7	0.02	33%	31 Jul →
cache	13–10	-0.05	34%	31 Jul →
mirage	13–11	0.03	32%	31 Jul →
dust2	13–1	0.08	26%	31 Jul →
mirage	3–13	-0.03	31%	30 Jul →
dust2	13–6	0.12	47%	30 Jul →
anubis	15–15	-0.04	20%	30 Jul →
ancient	13–6	0.08	22%	30 Jul →
dust2	11–13	0.01	16%	30 Jul →
cache	7–13	-0.09	21%	30 Jul →
ancient	10–13	0.01	21%	29 Jul →
anubis	7–13	0.03	20%	29 Jul →
dust2	5–13	-0.04	15%	29 Jul →
inferno	13–10	-0.00	15%	29 Jul →
nuke	11–13	-0.00	14%	28 Jul →
dust2	11–13	-0.01	24%	28 Jul →
inferno	14–16	0.02	18%	28 Jul →
cache	9–13	-0.03	26%	27 Jul →
mirage	10–13	-0.00	18%	27 Jul →
ancient	13–7	0.01	10%	27 Jul →
nuke	10–3	-0.04	13%	27 Jul →
mirage	13–9	0.06	28%	26 Jul →
ancient	13–4	0.01	21%	26 Jul →
anubis	9–13	0.05	16%	26 Jul →
nuke	13–6	0.01	22%	26 Jul →
dust2	13–7	0.12	31%	26 Jul →
anubis	16–14	0.02	17%	25 Jul →
dust2	11–13	-0.00	31%	25 Jul →
cache	3–13	-0.09	31%	24 Jul →