Flayy — CS2 Stats

PRO9INEPolandAWPerSettings & gear profile →

76561198412400644[U:1:452134916]

2,462Tracked matches43%Win rate2020Tracked since

13,266Hours in CS86Hrs last 2 wks

CSDB Rating7.3 StrongHybrid Rifler

CSDB Leaderboard#6630 of 8512 tracked

Ladder ranks via Leetify

Rating over time

3,953Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,953
Next: 4,000 ELO at 4,000 — 47 to go
Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
3,500 ELO first seen 2026-08-28
3,000 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim98

Positioning61

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLLLWWLLWLW

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

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

Aim9.8

Aggression6.3

Utility6.8

Positioning6.1

Opening Duels2.5

Clutch3.4

Sharp aimerStrong 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 Twistzz 97% playstyle similarity

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

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

Strengths

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 58% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.8

Positioning6.1

Utility6.8

Mechanics7.8

Opening Duels3.5

Win Impact2.8

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time435ms−47ms

first ⅓ avg 481ms → last ⅓ avg 435ms

Headshot accuracy25.4%+1.5%

first ⅓ avg 23.9% → last ⅓ avg 25.4%

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

0.17Best rating — overpass 13–3

13–0Biggest win — nuke

11Longest win streak

L3Current streak

4–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 77% over 22dust2Weakest map · 19% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	22	17–5	77%	0.02
ancient	S	20	15–5	75%	0.03
dust2	D	16	3–13	19%	-0.00
anubis	A	12	7–5	58%	0.02
inferno	D	12	4–8	33%	0.01
mirage	A	9	5–4	56%	0.01
overpass	A	5	3–2	60%	0.04
cache	—	4	0–4	0%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

532,888Lifetime kills

0.87K/D

8,316Matches

49.9%Match win rate · Top 25% of tracked players

50.0%Headshot % · Top 50% of tracked players

20.1%Shot accuracy · Top 5% of tracked players

32,682MVPs

18,441Hours (in match)

17,347Bombs planted

4,526Bombs defused

Most-used weapons

AK-47213,567

AWP173,517

Desert Eagle49,783

M4A4 / M4A1-S29,520

P2000 / USP-S23,565

Glock-189,546

Knife6,193

SSG 085,040

P2503,865

Galil AR2,569

Lifetime map wins

17,374nuke

12,290inferno

10,888dust2

8,828vertigo

8,203train

2,216cbble

67office

58lake

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

Faceit stats

Combat

3,716Matches

56%Win rate

1.48Avg K/D

85.3ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

16Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	335	58%	1.61	19.5
Ancient	333	61%	1.50	18.6
Nuke	242	66%	1.52	19.2
Anubis	214	59%	1.58	19.4
Dust2	129	53%	1.43	18.9
Train	71	55%	1.47	19.6
Vertigo	64	70%	1.56	17.4
Inferno	22	45%	1.29	15.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$2,924Inventory value31ItemsFull inventory breakdown →

$1,625

$256

$179

$140

$129

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.2%Headshot accuracy

44.2%Accuracy (enemy spotted)

49.9%Spray accuracy

85.3%Counter-strafing

6.8°Preaim

444msReaction time

22.4%T opening success

57.7%CT opening success

0.55Enemies flashed / flash

10.2%Flash assists

15.12HE damage / grenade

15.17Flashes / 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 22.3789% — 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.

19% win rate across 16 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
ancient	5–13	0.01	37%	27 Aug →
dust2	2–13	-0.03	36%	9 Aug →
nuke	13–16	-0.01	39%	9 Aug →
nuke	13–10	0.06	26%	8 Aug →
ancient	13–10	0.03	24%	8 Aug →
mirage	3–13	-0.04	17%	7 Aug →
nuke	6–13	-0.07	27%	7 Aug →
ancient	13–10	0.05	24%	7 Aug →
ancient	10–13	-0.02	41%	7 Aug →
anubis	13–2	0.02	27%	7 Aug →
nuke	13–8	0.05	24%	7 Aug →
anubis	6–13	0.04	14%	4 Aug →
cache	4–13	0.07	19%	4 Aug →
anubis	6–13	0.04	14%	4 Aug →
cache	4–13	0.07	19%	4 Aug →
nuke	13–3	0.02	27%	2 Aug →
mirage	13–3	0.08	5%	2 Aug →
nuke	13–3	0.02	27%	2 Aug →
mirage	13–3	0.08	5%	2 Aug →
inferno	13–7	0.02	24%	2 Aug →
nuke	13–6	-0.01	15%	2 Aug →
nuke	13–6	-0.01	15%	2 Aug →
inferno	13–7	0.02	24%	2 Aug →
cache	9–13	0.00	37%	2 Aug →
dust2	10–13	-0.03	22%	2 Aug →
cache	9–13	0.00	37%	2 Aug →
dust2	10–13	-0.03	22%	2 Aug →
mirage	11–13	-0.04	30%	1 Jul →
mirage	6–13	-0.04	30%	1 Jul →
ancient	13–16	0.04	27%	25 Jun →
dust2	13–10	0.11	38%	25 Jun →
nuke	7–13	-0.04	21%	25 Jun →
ancient	16–14	0.07	42%	24 Jun →
nuke	13–10	0.09	18%	24 Jun →
ancient	6–13	0.03	17%	23 Jun →
dust2	10–13	0.00	16%	23 Jun →
nuke	13–11	0.08	43%	23 Jun →
dust2	3–13	-0.02	17%	15 Jun →
anubis	8–13	0.01	16%	8 May →
dust2	14–16	0.02	29%	8 May →
inferno	16–13	0.03	48%	8 May →
mirage	13–4	0.05	33%	3 May →
dust2	4–13	-0.03	20%	30 Apr →
ancient	13–5	0.10	30%	30 Apr →
inferno	11–13	0.01	22%	30 Apr →
inferno	5–13	0.04	35%	26 Apr →
ancient	6–13	0.01	16%	26 Apr →
nuke	13–0	0.11	31%	25 Apr →
dust2	13–8	0.04	38%	25 Apr →
ancient	13–6	0.06	42%	24 Apr →
inferno	7–13	0.05	38%	24 Apr →
dust2	11–13	-0.02	46%	24 Apr →
inferno	11–13	-0.00	35%	23 Apr →
dust2	13–9	-0.01	43%	23 Apr →
overpass	17–19	-0.03	38%	23 Apr →
nuke	16–13	-0.01	20%	8 Apr →
dust2	4–13	-0.04	0%	3 Apr →
overpass	9–13	0.02	44%	3 Apr →
overpass	13–9	0.02	29%	2 Apr →
nuke	13–4	0.06	29%	2 Apr →
anubis	9–13	-0.05	17%	2 Apr →
inferno	7–13	-0.03	7%	1 Apr →
dust2	8–13	-0.07	25%	25 Mar →
inferno	11–13	0.03	42%	25 Mar →
overpass	13–3	0.17	7%	25 Mar →
inferno	15–19	-0.01	23%	24 Mar →
nuke	13–11	-0.01	14%	24 Mar →
ancient	13–6	-0.02	33%	24 Mar →
anubis	13–3	0.04	22%	24 Mar →
anubis	13–3	0.04	22%	24 Mar →
nuke	6–13	-0.03	12%	14 Mar →
anubis	19–15	-0.03	19%	14 Mar →
dust2	8–13	-0.00	25%	14 Mar →
ancient	16–12	-0.03	16%	12 Mar →
ancient	13–7	0.04	21%	12 Mar →
inferno	6–13	-0.04	13%	12 Mar →
ancient	13–4	0.04	33%	12 Mar →
nuke	13–4	0.04	14%	9 Mar →
overpass	13–7	0.04	13%	8 Mar →
inferno	13–11	0.04	21%	8 Mar →
ancient	13–6	0.04	40%	7 Mar →
anubis	13–7	0.01	32%	7 Mar →
nuke	13–10	-0.01	31%	5 Mar →
ancient	13–10	-0.01	25%	5 Mar →
nuke	13–8	0.08	44%	1 Mar →
anubis	13–7	0.01	11%	1 Mar →
ancient	13–9	0.05	13%	1 Mar →
dust2	14–16	0.05	29%	1 Mar →
anubis	10–13	-0.03	19%	1 Mar →
nuke	13–7	0.08	22%	1 Mar →
ancient	13–10	0.01	14%	1 Mar →
mirage	13–9	0.05	35%	28 Feb →
nuke	16–13	0.07	16%	28 Feb →
dust2	11–13	0.04	39%	28 Feb →
ancient	13–7	0.07	29%	27 Feb →
anubis	13–2	0.13	20%	27 Feb →
ancient	13–4	0.03	30%	21 Feb →
mirage	13–7	0.02	29%	21 Feb →
mirage	13–16	-0.02	18%	18 Feb →
nuke	11–13	-0.03	28%	18 Feb →