Flugy — CS2 Stats

US76561198857344527[U:1:897078799]Steam profile ↗✓ No bans

1,338Tracked matches66%Win rate2021Tracked since

792Hours in CS

CSDB Rating4.6 Developing

Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#36506 of 60720 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=3,953), 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	41.9%	41.5%	44.2%	2.3% short
Shot accuracy	11.5%	9.1%	11.7%	meets
Kill/death ratio	0.93	0.98	1.03	0.10 short
Match win rate	44.5%	43.7%	45.2%	meets

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

Widest gap: Kill/death ratio. 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

Aim52

Positioning50

Utility34

0–100 skill scores via Leetify.

Recent form

HOT49–47–4Last 10049%Win rateWWWWWLWLWT

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating

Player DNA

Aim5.2

Aggression5.5

Utility3.4

Positioning5.0

Opening Duels1.4

Clutch6.8

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 81% 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

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2

Positioning5.0

Utility3.4

Mechanics4.4

Opening Duels1.4

Win Impact10.0

Composite 4.6/10 (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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time632ms−24ms

first ⅓ avg 657ms → last ⅓ avg 632ms

Headshot accuracy15.4%−0.8%

first ⅓ avg 16.1% → last ⅓ avg 15.4%

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

0.18Best rating — overpass 13–5

13–2Biggest win — overpass

5Longest win streak

W5Current streak

4–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 63% over 8overpassWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	14–11	56%	-0.01
nuke	B	21	11–10	52%	0.02
mirage	C	15	6–9	40%	-0.01
anubis	B	11	5–6	45%	0.03
overpass	C	11	4–7	36%	0.01
ancient	A	8	5–3	63%	0.01
dust2	—	3	2–1	67%	-0.01
cache	—	2	0–2	0%	-0.03
train	—	2	1–1	50%	-0.04
vertigo	—	1	0–1	0%	0.10
office	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,748Lifetime kills

0.93K/D

2,355Matches

44.5%Match win rate · Top 50% of Blue band

41.9%Headshot % · Top 50% of Blue band

11.5%Shot accuracy · Top 50% of Blue band

4,593MVPs

792Hours (in match)

2,295Bombs planted

448Bombs defused

Most-used weapons

AK-477,679

M4A4 / M4A1-S6,556

P2000 / USP-S2,787

AWP2,305

Glock-182,121

MAC-101,685

MP91,680

MP71,376

Galil AR1,013

Desert Eagle979

Lifetime map wins

3,757inferno

2,456nuke

1,377vertigo

1,104dust2

412train

396lake

180cbble

147office

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

Faceit stats

Combat

44Matches

64%Win rate

1.00Avg K/D

76.1ADR

38%Headshot %

Clutches & streaks

54%1v1 clutch win

27%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	62%	1.27	17.0
Mirage	6	83%	0.92	13.8
Nuke	5	40%	0.83	13.4
Vertigo	4	25%	0.78	13.8
Inferno	4	100%	0.79	11.8
Ancient	3	67%	1.20	21.3
Dust2	2	50%	0.62	12.0
Train	2	50%	0.98	14.0

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.

14.6%Headshot accuracy

33.6%Accuracy (enemy spotted)

36.8%Spray accuracy

69.8%Counter-strafing

10.1°Preaim

623msReaction time

31.3%T opening success

39.5%CT opening success

0.47Enemies flashed / flash

3.1%Flash assists

7.42HE damage / grenade

4.03Flashes / 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 14.5697% — below the 15% mark we flag
Aim Training →
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 0.47 — 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 31.3459% — below the 40% mark we flag

Spend your practice time on Overpass

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–6	0.14	14%	4 Jul →
anubis	13–6	0.11	15%	4 Jul →
anubis	13–10	0.09	11%	3 Jul →
nuke	13–5	0.02	19%	3 Jul →
inferno	13–7	0.06	17%	3 Jul →
inferno	3–13	-0.01	20%	1 Jul →
inferno	13–8	-0.04	18%	21 Jun →
vertigo	10–13	0.10	12%	4 Jun →
mirage	13–5	0.03	11%	30 May →
cache	12–12	-0.04	12%	28 May →
ancient	16–13	0.05	12%	26 May →
mirage	5–13	-0.09	13%	26 May →
inferno	13–5	-0.05	15%	17 May →
overpass	13–2	-0.05	11%	17 May →
mirage	13–8	0.03	17%	14 May →
mirage	13–10	0.04	15%	14 May →
overpass	9–13	-0.04	18%	14 May →
cache	6–13	-0.02	15%	13 May →
nuke	9–13	0.00	33%	13 May →
inferno	13–11	-0.03	11%	12 May →
mirage	5–13	-0.06	8%	12 May →
mirage	13–8	-0.07	17%	12 May →
inferno	3–13	-0.05	10%	12 May →
ancient	13–6	0.07	13%	12 May →
inferno	13–2	0.01	16%	11 May →
mirage	3–13	-0.02	8%	11 May →
nuke	13–2	0.11	19%	10 May →
mirage	13–11	-0.04	5%	7 May →
ancient	13–5	-0.04	16%	7 May →
overpass	2–13	-0.03	27%	26 Apr →
inferno	13–7	0.02	15%	26 Apr →
nuke	13–8	0.15	29%	25 Apr →
inferno	13–2	0.05	19%	25 Apr →
ancient	13–6	0.04	15%	16 Apr →
nuke	7–13	-0.02	17%	16 Apr →
inferno	16–13	0.02	16%	8 Apr →
mirage	7–13	-0.05	24%	8 Apr →
anubis	13–7	-0.02	20%	7 Apr →
mirage	9–13	-0.07	7%	7 Apr →
inferno	4–13	-0.08	13%	7 Apr →
nuke	13–6	0.00	15%	31 Mar →
nuke	8–13	0.05	21%	26 Mar →
inferno	4–6	-0.02	13%	8 Mar →
nuke	3–13	-0.04	19%	8 Mar →
anubis	13–8	-0.01	12%	8 Mar →
mirage	5–13	0.03	8%	7 Mar →
office	13–5	-0.06	21%	2 Mar →
overpass	11–13	-0.04	15%	2 Mar →
anubis	11–13	-0.02	16%	2 Mar →
inferno	13–9	-0.04	13%	2 Mar →
anubis	9–13	0.07	18%	25 Feb →
nuke	4–13	-0.03	23%	24 Feb →
dust2	13–6	0.01	18%	24 Feb →
inferno	13–7	-0.00	19%	24 Feb →
anubis	8–13	-0.08	13%	24 Feb →
inferno	11–13	0.07	13%	24 Feb →
inferno	15–15	-0.03	18%	19 Feb →
inferno	11–13	-0.05	8%	19 Feb →
nuke	9–13	-0.06	11%	18 Feb →
nuke	13–4	0.06	14%	18 Feb →
mirage	9–13	0.04	16%	17 Feb →
nuke	11–13	0.09	25%	17 Feb →
anubis	9–13	0.05	25%	17 Feb →
nuke	6–13	-0.07	9%	16 Feb →
inferno	7–13	-0.05	13%	16 Feb →
nuke	13–11	0.06	22%	14 Feb →
overpass	13–5	0.18	21%	14 Feb →
anubis	10–13	0.13	21%	11 Feb →
overpass	16–13	0.07	21%	10 Feb →
anubis	13–4	0.04	22%	10 Feb →
overpass	6–13	0.05	33%	10 Feb →
inferno	13–2	-0.02	12%	5 Feb →
mirage	13–6	0.12	19%	4 Feb →
inferno	13–9	0.09	22%	4 Feb →
inferno	8–13	-0.01	10%	3 Feb →
nuke	10–3	-0.04	4%	3 Feb →
dust2	13–6	-0.05	7%	3 Feb →
nuke	15–15	-0.01	19%	3 Feb →
mirage	9–13	0.01	13%	3 Feb →
overpass	2–9	0.06	8%	31 Jan →
nuke	13–6	0.02	15%	31 Jan →
inferno	9–13	0.01	18%	23 Jan →
anubis	15–15	-0.05	14%	23 Jan →
ancient	13–16	-0.02	18%	23 Jan →
overpass	7–13	-0.08	14%	22 Jan →
nuke	14–16	-0.02	15%	22 Jan →
inferno	13–8	0.03	23%	17 Jan →
ancient	13–6	0.02	14%	17 Jan →
train	13–6	-0.01	19%	9 Jan →
inferno	13–5	0.00	5%	9 Jan →
nuke	16–14	0.04	25%	9 Jan →
overpass	7–13	-0.04	17%	6 Jan →
nuke	13–8	0.00	20%	5 Jan →
inferno	7–13	-0.03	11%	5 Jan →
overpass	13–6	0.01	6%	5 Jan →
train	4–13	-0.06	9%	21 Dec →
dust2	13–16	-0.00	24%	21 Dec →
mirage	3–13	-0.03	21%	21 Dec →
ancient	11–13	0.02	18%	14 Dec →
ancient	11–13	-0.07	15%	9 Dec →