ficky — CS2 Stats

76561198330771433[U:1:370505705]

442Tracked matches38%Win rate2020Tracked since

320Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

Premier CS Rating11,088Blue band · top ~49.1% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	44.5%	41.7%	44.1%	meets
Shot accuracy	7.3%	8.8%	11.4%	4.1% short
Kill/death ratio	1.09	0.97	1.03	above
Match win rate	35.5%	43.8%	45.2%	9.7% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning52

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateLWLWLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.9

Aggression7.3

Utility4.2

Positioning5.2

Opening Duels2.9

Clutch1.4

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 b1t 88% playstyle similarity

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

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

Reaction time. 629ms 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

Aim6.9

Positioning5.2

Utility4.2

Mechanics7.0

Opening Duels2.9

Win Impact1.0

Composite 4.9/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time643ms+16ms

first ⅓ avg 627ms → last ⅓ avg 643ms

Headshot accuracy18.8%−3.6%

first ⅓ avg 22.4% → last ⅓ avg 18.8%

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

0.25Best rating — anubis 13–3

13–0Biggest win — mirage

5Longest win streak

7–3In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 80% over 5dust2Weakest map · 34% over 29

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	29	10–19	34%	0.03
mirage	C	28	11–17	39%	0.04
inferno	A	12	7–5	58%	0.01
cache	A	10	6–4	60%	0.03
ancient	C	8	3–5	38%	0.05
anubis	B	6	3–3	50%	0.06
nuke	S	5	4–1	80%	-0.01
vertigo	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (34% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,052Lifetime kills

1.09K/D · Top 25% of Blue band

1,133Matches

35.5%Match win rate

44.5%Headshot % · Top 50% of Blue band

7.3%Shot accuracy

1,889MVPs

320Hours (in match)

801Bombs planted

186Bombs defused

Most-used weapons

AK-473,349

AWP2,626

M4A4 / M4A1-S2,597

Desert Eagle792

P2000 / USP-S704

XM1014621

SSG 08488

Glock-18485

MP7478

MAC-10393

Lifetime map wins

2,055dust2

1,006inferno

562nuke

188vertigo

79train

66office

21lake

19cbble

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

Faceit stats

Combat

20Matches

45%Win rate

1.08Avg K/D

79.4ADR

48%Headshot %

Clutches & streaks

27%1v1 clutch win

36%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	100%	1.12	13.2
Dust2	5	0%	0.93	15.4
Ancient	3	67%	0.73	12.7
Inferno	3	0%	0.82	13.0
Anubis	2	50%	2.46	17.0
Overpass	1	0%	0.71	12.0

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.

17.6%Headshot accuracy

36.6%Accuracy (enemy spotted)

40.0%Spray accuracy

81.5%Counter-strafing

10.8°Preaim

629msReaction time

36.6%T opening success

46.8%CT opening success

0.54Enemies flashed / flash

1.5%Flash assists

8.48HE damage / grenade

10.08Flashes / 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 36.6203% — 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.

34% win rate across 29 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
mirage	11–13	0.04	12%	9 Aug →
mirage	13–8	0.09	37%	9 Aug →
mirage	11–13	0.04	17%	9 Aug →
nuke	13–2	-0.06	47%	9 Aug →
vertigo	1–13	-0.05	17%	9 Aug →
mirage	8–13	0.00	17%	7 Aug →
dust2	7–13	0.01	15%	7 Aug →
inferno	13–10	-0.01	14%	7 Aug →
mirage	13–5	0.08	12%	7 Aug →
anubis	9–13	0.02	19%	7 Aug →
dust2	13–5	0.08	18%	6 Aug →
anubis	1–13	-0.02	9%	6 Aug →
mirage	5–13	0.04	11%	6 Aug →
inferno	3–13	-0.10	8%	6 Aug →
dust2	13–10	0.10	12%	6 Aug →
mirage	13–0	0.05	23%	6 Aug →
dust2	12–12	0.04	21%	6 Aug →
dust2	13–6	0.12	18%	6 Aug →
cache	5–13	0.04	20%	6 Aug →
dust2	10–13	0.02	18%	1 Aug →
nuke	2–13	-0.08	11%	1 Aug →
dust2	6–13	-0.11	0%	31 Jul →
dust2	6–13	-0.01	13%	31 Jul →
dust2	6–13	-0.02	17%	29 Jul →
dust2	13–3	0.06	20%	29 Jul →
dust2	1–13	-0.04	14%	29 Jul →
mirage	4–13	0.10	20%	29 Jul →
mirage	13–11	0.15	26%	29 Jul →
anubis	16–14	0.06	13%	29 Jul →
dust2	3–13	-0.05	31%	29 Jul →
mirage	8–13	0.08	34%	29 Jul →
inferno	13–9	0.02	18%	29 Jul →
nuke	13–9	-0.03	38%	29 Jul →
mirage	15–15	0.07	18%	29 Jul →
cache	8–3	0.07	13%	29 Jul →
ancient	5–13	-0.00	8%	29 Jul →
inferno	13–4	0.09	26%	29 Jul →
mirage	5–13	0.02	19%	29 Jul →
dust2	13–5	0.10	60%	29 Jul →
dust2	13–9	0.03	26%	29 Jul →
mirage	11–13	0.02	24%	29 Jul →
ancient	13–9	0.02	19%	29 Jul →
anubis	15–15	-0.02	13%	29 Jul →
ancient	6–13	-0.04	16%	29 Jul →
dust2	2–13	0.01	16%	29 Jul →
dust2	5–13	0.05	17%	29 Jul →
mirage	13–4	0.01	13%	28 Jul →
dust2	5–13	-0.06	22%	28 Jul →
dust2	13–11	0.06	24%	28 Jul →
dust2	13–8	0.05	15%	28 Jul →
mirage	10–13	0.03	14%	28 Jul →
mirage	15–15	0.02	20%	28 Jul →
ancient	13–8	0.10	19%	28 Jul →
cache	13–2	0.12	27%	28 Jul →
nuke	13–6	0.03	30%	28 Jul →
mirage	13–5	0.02	13%	28 Jul →
mirage	4–13	-0.07	18%	28 Jul →
mirage	15–15	0.06	21%	28 Jul →
ancient	13–16	0.01	13%	28 Jul →
ancient	5–13	-0.01	33%	28 Jul →
train	13–6	0.09	33%	28 Jul →
cache	16–14	0.05	15%	27 Jul →
cache	13–8	0.04	17%	27 Jul →
inferno	13–10	0.07	25%	27 Jul →
anubis	13–8	0.05	18%	27 Jul →
dust2	12–12	0.14	24%	27 Jul →
dust2	10–13	0.04	33%	26 Jul →
dust2	7–13	0.04	25%	25 Jul →
anubis	13–3	0.25	27%	25 Jul →
mirage	13–8	0.11	21%	24 Jul →
inferno	10–13	0.02	18%	24 Jul →
cache	13–5	0.05	16%	23 Jul →
dust2	15–15	0.09	17%	23 Jul →
dust2	13–6	-0.01	11%	23 Jul →
mirage	13–9	0.08	24%	23 Jul →
inferno	13–11	-0.03	9%	23 Jul →
cache	8–13	-0.03	26%	23 Jul →
nuke	13–11	0.07	29%	23 Jul →
mirage	13–11	0.06	28%	23 Jul →
mirage	13–6	0.12	17%	23 Jul →
cache	3–13	-0.02	23%	23 Jul →
inferno	13–10	0.03	13%	23 Jul →
inferno	2–6	0.11	19%	22 Jul →
mirage	4–13	-0.01	14%	22 Jul →
mirage	13–16	-0.01	18%	22 Jul →
inferno	12–12	0.00	21%	22 Jul →
dust2	4–13	-0.04	12%	22 Jul →
mirage	1–5	-0.03	50%	21 Jul →
ancient	4–13	0.14	22%	21 Jul →
dust2	1–13	-0.05	22%	21 Jul →
cache	5–13	-0.02	18%	20 Jul →
dust2	6–13	0.03	32%	20 Jul →
inferno	6–13	-0.08	22%	19 Jul →
cache	13–7	-0.01	28%	19 Jul →
mirage	13–7	-0.02	31%	19 Jul →
dust2	13–4	0.09	42%	19 Jul →
dust2	4–13	-0.01	13%	9 Jul →
mirage	9–13	-0.00	20%	3 Jul →
ancient	13–0	0.19	26%	3 Jul →
inferno	13–4	0.05	28%	2 Jul →