FLACO — CS2 Stats

FJ76561198104141966[U:1:143876238]Steam profile ↗✓ No bans

495Tracked matches52%Win rate2020Tracked since

1,625Hours in CS0Hrs last 2 wks

CSDB Rating5.8 SolidAll-Rounder

Premier CS Rating21,452Top 50% of 192,959 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#59426 of 239278 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 495 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 14 days played since 22 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,452 +1,337 22 Jul – 8 Sept · 6 days played

21,576Peak Premier in tracked matches

14Days played since 2026-07-22

Premier CS Rating

At peak — 21,452
0 over 30 days · steady
Next: Red band at 25,000 — 3,548 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-01
Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,280), 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	Level 7 median	Level 8 median	vs Level 8
Headshot rate	50.4%	45.7%	46.8%	above
Shot accuracy	8.6%	12.7%	13.0%	4.4% short
Kill/death ratio	1.59	1.05	1.06	above
Match win rate	40.0%	45.7%	46.3%	6.3% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim72

Positioning49

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateTWTWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · +1.8pp headshot accuracy · +12ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–0–2 · 60% win rate
Avg rating 0.06
Avg headshot accuracy 23%
Avg reaction 531ms

Last 10

6–2–2 · 60% win rate
Avg rating 0.06
Avg headshot accuracy 22%
Avg reaction 545ms

Last 20

10–7–3 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 539ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2

Utility4.3

Positioning4.9

Opening Duels3.7

Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 98% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.2

Positioning4.9

Utility4.3

Mechanics6.7

Opening Duels2.9

Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time539ms−23ms

first ⅓ avg 563ms → last ⅓ avg 539ms

Headshot accuracy21.8%+4.2%

first ⅓ avg 17.6% → last ⅓ avg 21.8%

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.

Personal bests

0.21Best match rating · 13–0 · office, 28 Jul →

67%Best headshot accuracy · 13–0 · office, 28 Jul →

375msFastest reaction time · 8–13 · dust2, 2 Aug →

13–0Biggest win · vertigo, 2 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–2In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 77% over 13mirageWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	0.03
mirage	D	14	4–10	29%	0.01
anubis	S	13	10–3	77%	0.05
cache	B	12	6–6	50%	0.04
inferno	B	11	5–6	45%	0.03
vertigo	A	8	5–3	63%	0.07
nuke	A	8	5–3	63%	0.00
office	D	7	2–5	29%	0.06
train	—	2	1–1	50%	0.03
ancient	—	1	0–1	0%	-0.05
shelter	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,166Lifetime kills

1.59K/D · Top 5% of Level 7 players

1,796Matches

40.0%Match win rate

50.4%Headshot % · Top 50% of Level 7 players

8.6%Shot accuracy

9,555MVPs

1,127Hours (in match)

1,134Bombs planted

805Bombs defused

Most-used weapons

AK-4731,659

M4A4 / M4A1-S6,018

Knife5,439

AWP4,960

P2000 / USP-S3,728

Desert Eagle3,346

MP91,901

Glock-181,777

P901,360

MAC-101,285

Lifetime map wins

3,306dust2

1,716inferno

666nuke

479vertigo

320cbble

240office

100train

85lake

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

Faceit stats

Combat

45Matches

69%Win rate

1.14Avg K/D

78.8ADR

40%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	11	82%	1.29	17.7
Dust2	11	64%	1.08	14.9
Cache	7	86%	1.15	16.1
Inferno	6	67%	1.14	16.0
Mirage	5	0%	0.63	9.8
Ancient	3	100%	1.58	13.3
Nuke	2	100%	1.21	22.0

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.

22.0%Headshot accuracy

33.7%Accuracy (enemy spotted)

35.0%Spray accuracy

80.2%Counter-strafing

11.2°Preaim

541msReaction time

37.5%T opening success

45.8%CT opening success

0.32Enemies flashed / flash

5.5%Flash assists

4.72HE damage / grenade

20.10Flashes / 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.

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 0.3238 — 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 37.5329% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.03	15%	6 Aug →
inferno	13–8	0.08	24%	4 Aug →
mirage	12–12	0.05	28%	4 Aug →
dust2	13–5	0.15	22%	4 Aug →
vertigo	13–5	-0.00	24%	4 Aug →
dust2	13–5	0.11	22%	4 Aug →
inferno	5–13	-0.05	14%	4 Aug →
dust2	13–11	-0.01	25%	4 Aug →
anubis	13–3	0.15	14%	4 Aug →
anubis	4–13	0.07	29%	3 Aug →
dust2	13–7	0.02	18%	3 Aug →
office	4–13	0.02	26%	2 Aug →
nuke	6–13	0.00	23%	2 Aug →
dust2	13–8	-0.04	10%	2 Aug →
vertigo	13–9	0.10	36%	2 Aug →
ancient	3–13	-0.05	22%	2 Aug →
dust2	8–13	-0.02	14%	2 Aug →
nuke	13–10	-0.04	20%	2 Aug →
cache	9–13	0.00	16%	2 Aug →
inferno	12–12	-0.00	13%	2 Aug →
anubis	13–10	0.03	20%	2 Aug →
vertigo	3–13	-0.05	28%	2 Aug →
vertigo	13–0	0.14	43%	2 Aug →
office	9–13	-0.01	44%	2 Aug →
office	4–13	0.00	39%	2 Aug →
anubis	13–10	0.01	17%	1 Aug →
dust2	8–13	-0.01	23%	1 Aug →
dust2	8–13	-0.01	14%	1 Aug →
mirage	13–11	-0.01	15%	1 Aug →
cache	8–13	0.07	16%	31 Jul →
inferno	12–12	0.01	24%	31 Jul →
mirage	6–13	0.05	13%	31 Jul →
dust2	13–9	-0.01	9%	31 Jul →
nuke	5–13	0.06	21%	31 Jul →
dust2	13–11	0.10	23%	31 Jul →
anubis	12–3	0.06	16%	31 Jul →
mirage	13–7	0.05	24%	31 Jul →
dust2	7–13	0.03	12%	30 Jul →
cache	13–6	0.19	15%	30 Jul →
vertigo	11–13	0.07	38%	29 Jul →
dust2	13–2	0.14	36%	28 Jul →
office	13–10	0.19	32%	28 Jul →
mirage	4–13	0.00	23%	28 Jul →
anubis	13–6	0.09	14%	28 Jul →
office	13–0	0.21	67%	28 Jul →
train	7–3	0.03	14%	28 Jul →
inferno	13–7	0.15	27%	28 Jul →
vertigo	13–2	0.21	17%	28 Jul →
cache	13–2	-0.08	5%	28 Jul →
anubis	13–4	0.05	13%	26 Jul →
cache	10–13	-0.03	14%	26 Jul →
cache	13–5	0.04	18%	26 Jul →
mirage	6–13	-0.04	14%	26 Jul →
dust2	13–6	0.08	24%	26 Jul →
inferno	5–13	-0.03	20%	25 Jul →
anubis	2–13	-0.07	6%	25 Jul →
mirage	8–13	-0.01	10%	25 Jul →
dust2	6–13	0.02	26%	24 Jul →
cache	4–13	0.01	13%	24 Jul →
vertigo	12–12	0.06	26%	24 Jul →
train	3–13	0.03	41%	24 Jul →
mirage	3–13	0.01	27%	24 Jul →
office	12–12	0.01	40%	24 Jul →
inferno	3–13	0.00	17%	24 Jul →
mirage	2–13	0.00	42%	24 Jul →
nuke	13–6	-0.00	18%	24 Jul →
cache	13–5	0.17	38%	24 Jul →
inferno	13–5	0.10	20%	24 Jul →
anubis	13–5	0.09	21%	24 Jul →
anubis	13–10	0.10	18%	24 Jul →
anubis	13–8	0.05	11%	23 Jul →
mirage	12–12	-0.02	15%	23 Jul →
dust2	13–11	-0.01	18%	23 Jul →
cache	13–11	0.01	18%	23 Jul →
nuke	12–12	0.01	21%	23 Jul →
inferno	12–12	0.11	14%	23 Jul →
mirage	13–8	0.04	22%	23 Jul →
dust2	13–2	0.03	14%	23 Jul →
cache	2–13	0.04	26%	23 Jul →
nuke	13–10	-0.05	24%	23 Jul →
mirage	6–13	-0.03	20%	23 Jul →
dust2	8–13	-0.00	23%	23 Jul →
inferno	13–9	-0.01	13%	23 Jul →
dust2	13–3	0.04	9%	23 Jul →
nuke	13–7	0.08	24%	23 Jul →
cache	13–7	0.08	18%	23 Jul →
cache	2–13	-0.02	13%	23 Jul →
dust2	4–13	0.00	20%	23 Jul →
dust2	9–13	0.02	24%	23 Jul →
office	2–13	-0.02	24%	22 Jul →
anubis	11–13	0.00	14%	22 Jul →
mirage	13–9	0.02	9%	22 Jul →
shelter	13–9	0.07	24%	22 Jul →
mirage	6–13	0.08	19%	22 Jul →
inferno	13–11	0.02	16%	22 Jul →
dust2	5–13	-0.02	15%	22 Jul →
vertigo	13–9	0.03	12%	22 Jul →
anubis	7–1	0.07	9%	22 Jul →
dust2	3–13	0.02	16%	22 Jul →
nuke	13–3	-0.04	20%	22 Jul →