Flown1x — CS2 Stats

76561198129205821[U:1:168940093]✓ No bans

2,212Tracked matches35%Win rate2020Tracked since

7,554Hours in CS13Hrs last 2 wks

CSDB Rating5.5 SolidAggressive Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim85

Positioning53

Utility39

0–100 skill scores via Leetify.

Recent form

COLD44–46–10Last 10044%Win rateLWTLLWLLLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression7.0

Utility3.9

Positioning5.3

Opening Duels2.6

Clutch2.4

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower 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

Areas to improve

Positioning. Positioning trails aim by 31 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 56% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim8.5

Positioning5.3

Utility3.9

Mechanics6.8

Opening Duels3.3

Win Impact0.0

Composite 5.5/10 (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-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time574ms−15ms

first ⅓ avg 589ms → last ⅓ avg 574ms

Headshot accuracy29.2%−1.7%

first ⅓ avg 30.9% → last ⅓ avg 29.2%

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

0.32Best rating — vertigo 9–1

13–1Biggest win — mirage

4Longest win streak

3–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 80% over 5nukeWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	20	9–11	45%	-0.00
ancient	B	18	9–9	50%	0.02
anubis	D	13	4–9	31%	0.03
nuke	D	12	2–10	17%	-0.00
mirage	B	10	5–5	50%	0.01
overpass	C	9	4–5	44%	-0.00
cache	B	6	3–3	50%	-0.02
dust2	S	5	4–1	80%	0.01
vertigo	—	3	2–1	67%	0.08
alpine	—	3	2–1	67%	0.03
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,089Lifetime kills

1.07K/D · Top 50% of tracked players

7,745Matches

44.1%Match win rate

46.9%Headshot % · Top 50% of tracked players

15.5%Shot accuracy · Top 50% of tracked players

19,302MVPs

5,740Hours (in match)

6,213Bombs planted

2,431Bombs defused

Most-used weapons

AK-4756,718

AWP26,802

M4A4 / M4A1-S19,086

P2000 / USP-S12,035

Desert Eagle10,655

Glock-184,551

Knife3,774

P2502,408

Galil AR1,866

MP71,727

Lifetime map wins

17,869inferno

4,720dust2

4,050vertigo

3,456nuke

1,378train

580cbble

477office

130italy

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

Faceit stats

Combat

1,242Matches

51%Win rate

1.18Avg K/D

76.3ADR

47%Headshot %

Clutches & streaks

32%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	163	48%	1.05	15.3
Anubis	129	57%	1.13	15.0
Inferno	103	49%	1.14	15.3
Overpass	42	52%	1.11	13.2
Dust2	31	48%	1.23	18.9
Mirage	28	29%	0.95	15.3
Nuke	21	33%	0.97	14.7
Train	20	50%	1.54	16.6

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.

30.1%Headshot accuracy

34.5%Accuracy (enemy spotted)

30.6%Spray accuracy

80.7%Counter-strafing

7.7°Preaim

576msReaction time

24.9%T opening success

56.2%CT opening success

0.53Enemies flashed / flash

4.2%Flash assists

7.11HE damage / grenade

6.66Flashes / 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 24.8945% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	0.02	18%	25 Aug →
inferno	13–10	0.04	31%	18 Aug →
ancient	12–12	-0.01	23%	14 Aug →
mirage	8–13	-0.08	36%	14 Aug →
dust2	13–16	-0.01	38%	11 Aug →
dust2	13–7	-0.02	42%	11 Aug →
nuke	14–16	-0.02	19%	9 Aug →
ancient	11–13	-0.03	23%	8 Aug →
inferno	14–16	-0.00	22%	4 Aug →
ancient	13–9	0.00	36%	4 Aug →
dust2	13–8	0.02	41%	26 Jul →
cache	13–11	-0.08	63%	26 Jul →
nuke	10–13	-0.03	29%	30 Jun →
mirage	11–13	-0.02	50%	25 May →
dust2	16–13	0.00	27%	24 May →
cache	12–12	0.05	28%	18 May →
mirage	7–13	0.01	19%	14 May →
mirage	11–13	-0.03	38%	12 May →
cache	13–2	0.01	25%	12 May →
ancient	4–13	-0.04	4%	10 May →
ancient	7–13	0.03	20%	8 May →
inferno	5–13	-0.04	24%	8 May →
cache	12–12	-0.05	29%	5 May →
inferno	3–13	-0.08	17%	5 May →
nuke	7–13	-0.01	16%	5 May →
vertigo	13–6	-0.07	14%	5 May →
ancient	6–13	-0.10	30%	3 May →
mirage	9–13	0.01	24%	3 May →
anubis	13–6	-0.02	26%	3 May →
cache	12–12	-0.05	72%	3 May →
cache	13–11	-0.02	21%	29 Apr →
inferno	13–8	-0.01	26%	26 Apr →
inferno	13–8	-0.03	34%	20 Apr →
inferno	7–13	-0.01	35%	20 Apr →
nuke	13–10	0.05	29%	20 Apr →
ancient	14–10	0.04	25%	6 Apr →
overpass	13–6	-0.03	46%	5 Apr →
ancient	13–3	0.06	28%	5 Apr →
nuke	11–13	-0.01	38%	3 Apr →
vertigo	9–13	-0.00	24%	30 Mar →
inferno	13–6	0.01	25%	30 Mar →
anubis	13–5	0.02	46%	30 Mar →
overpass	11–3	-0.03	50%	30 Mar →
nuke	12–12	-0.05	29%	30 Mar →
mirage	13–1	0.09	19%	29 Mar →
ancient	13–2	0.07	32%	29 Mar →
anubis	11–13	0.04	8%	22 Mar →
nuke	6–13	-0.02	22%	22 Mar →
inferno	13–7	0.04	38%	22 Mar →
office	12–12	-0.03	36%	21 Mar →
inferno	8–13	0.00	29%	21 Mar →
nuke	4–9	-0.13	31%	21 Mar →
inferno	9–3	0.13	36%	21 Mar →
nuke	9–1	0.11	38%	21 Mar →
vertigo	9–1	0.32	50%	21 Mar →
inferno	4–9	-0.03	40%	21 Mar →
anubis	5–13	0.03	21%	17 Mar →
ancient	9–13	-0.04	12%	17 Mar →
overpass	5–13	-0.04	21%	17 Mar →
inferno	6–13	-0.09	25%	17 Mar →
alpine	13–1	0.10	26%	11 Mar →
mirage	13–2	0.09	32%	11 Mar →
overpass	7–13	0.05	21%	7 Mar →
dust2	13–3	0.06	39%	6 Mar →
anubis	13–7	0.05	31%	6 Mar →
nuke	12–12	-0.05	41%	5 Mar →
anubis	2–13	-0.02	21%	5 Mar →
inferno	13–10	-0.01	24%	2 Mar →
ancient	6–13	0.02	33%	2 Mar →
ancient	4–13	0.04	20%	23 Feb →
ancient	13–4	0.08	27%	22 Feb →
ancient	13–9	0.00	30%	22 Feb →
mirage	13–3	-0.01	30%	21 Feb →
inferno	6–13	-0.05	12%	21 Feb →
ancient	13–8	0.03	35%	21 Feb →
overpass	12–12	-0.07	40%	19 Feb →
inferno	11–13	-0.00	30%	19 Feb →
inferno	6–13	-0.03	26%	31 Jan →
nuke	5–13	0.06	31%	31 Jan →
nuke	12–12	0.07	47%	30 Jan →
inferno	13–6	0.02	15%	28 Jan →
anubis	11–13	-0.02	36%	28 Jan →
anubis	8–13	0.03	38%	27 Jan →
ancient	13–4	-0.01	39%	27 Jan →
overpass	13–6	0.07	35%	27 Jan →
anubis	7–13	0.03	27%	27 Jan →
ancient	10–13	0.02	37%	25 Jan →
mirage	13–5	-0.03	31%	25 Jan →
anubis	13–4	0.00	37%	25 Jan →
alpine	4–13	-0.04	23%	25 Jan →
mirage	13–5	0.08	29%	24 Jan →
ancient	13–7	0.14	19%	24 Jan →
anubis	6–13	0.08	36%	24 Jan →
alpine	13–11	0.04	20%	21 Jan →
anubis	5–13	0.09	26%	21 Jan →
overpass	7–13	0.03	27%	21 Jan →
anubis	12–12	0.05	36%	19 Jan →
inferno	13–1	0.04	28%	19 Jan →
overpass	7–13	0.04	49%	14 Jan →
overpass	13–8	-0.04	50%	14 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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