Fl0wCZ — CS2 Stats

76561198153961049[U:1:193695321]

871Tracked matches53%Win rate2020Tracked since

2,465Hours in CS15Hrs last 2 wks

CSDB Rating6.3 SolidEntry Fragger

Ladder ranks via Leetify

Performance scores

Aim84

Positioning64

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLWLLWWLWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.4

Aggression10.0

Utility5.4

Positioning6.4

Opening Duels6.1

Clutch3.6

Strong 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 device 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: higher 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

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 65% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Aim8.4

Positioning6.4

Utility5.4

Mechanics7.5

Opening Duels6.1

Win Impact6.1

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time568ms−39ms

first ⅓ avg 607ms → last ⅓ avg 568ms

Headshot accuracy22.3%−0.7%

first ⅓ avg 23.0% → last ⅓ avg 22.3%

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 — cache 13–3

13–0Biggest win — mirage

6Longest win streak

5–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 64% over 11infernoWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	18	7–11	39%	0.01
cache	C	18	7–11	39%	0.03
mirage	A	16	10–6	63%	0.02
dust2	B	12	6–6	50%	0.02
anubis	A	11	7–4	64%	0.04
ancient	A	10	6–4	60%	0.03
nuke	A	8	5–3	63%	0.03
office	—	3	2–1	67%	-0.01
overpass	—	2	1–1	50%	0.00
italy	—	1	0–1	0%	0.04
fachwerk	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,835Lifetime kills

1.83K/D · Top 5% of tracked players

3,310Matches

53.9%Match win rate · Top 10% of tracked players

51.6%Headshot % · Top 25% of tracked players

12.9%Shot accuracy · Top 50% of tracked players

6,379MVPs

1,116Hours (in match)

2,808Bombs planted

1,118Bombs defused

Most-used weapons

AK-4742,023

M4A4 / M4A1-S13,686

AWP10,702

Desert Eagle6,120

P2000 / USP-S4,832

Galil AR3,154

MAC-102,824

AUG2,140

MP92,097

Glock-182,071

Lifetime map wins

4,452dust2

3,098inferno

2,344nuke

1,420vertigo

1,136train

1,094office

279lake

223italy

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

Faceit stats

Combat

91Matches

54%Win rate

1.21Avg K/D

75.1ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	20	50%	1.18	14.8
Ancient	14	50%	1.01	17.4
Mirage	10	80%	1.20	14.2
Cache	7	57%	1.11	12.4
Nuke	7	29%	1.14	17.1
Overpass	5	80%	1.04	16.8
Dust2	4	0%	0.66	9.5
Anubis	4	50%	0.97	12.3

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.

22.1%Headshot accuracy

38.0%Accuracy (enemy spotted)

40.1%Spray accuracy

83.8%Counter-strafing

9.5°Preaim

566msReaction time

43.8%T opening success

64.8%CT opening success

0.46Enemies flashed / flash

5.0%Flash assists

10.79HE damage / grenade

8.71Flashes / 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 0.4578 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	14–16	-0.01	18%	26 Aug →
mirage	13–9	0.04	52%	26 Aug →
inferno	13–16	0.06	31%	25 Aug →
inferno	6–13	-0.03	27%	24 Aug →
mirage	13–8	0.00	23%	24 Aug →
dust2	13–5	0.06	25%	24 Aug →
dust2	5–13	-0.05	9%	20 Aug →
nuke	13–11	0.09	21%	19 Aug →
ancient	19–16	0.03	21%	18 Aug →
dust2	13–4	0.10	25%	18 Aug →
mirage	13–2	0.12	23%	17 Aug →
inferno	13–7	0.03	19%	13 Aug →
anubis	10–13	-0.02	20%	13 Aug →
anubis	11–13	-0.04	16%	5 Aug →
nuke	13–11	0.02	40%	4 Aug →
mirage	13–4	0.01	14%	4 Aug →
ancient	14–16	0.04	19%	30 Jul →
mirage	13–2	-0.02	10%	30 Jul →
anubis	14–16	-0.02	25%	27 Jul →
anubis	13–6	0.07	28%	26 Jul →
nuke	13–16	0.08	22%	26 Jul →
inferno	9–13	0.00	24%	26 Jul →
mirage	14–16	0.06	14%	24 Jul →
italy	5–13	0.04	20%	22 Jul →
mirage	13–8	0.07	17%	22 Jul →
anubis	11–3	0.03	31%	22 Jul →
cache	11–13	-0.06	15%	21 Jul →
ancient	13–5	-0.03	15%	20 Jul →
ancient	13–9	0.03	15%	20 Jul →
dust2	11–13	0.04	23%	19 Jul →
anubis	13–3	0.11	24%	19 Jul →
cache	8–13	0.05	29%	16 Jul →
nuke	13–6	0.02	24%	13 Jul →
ancient	8–13	0.01	25%	13 Jul →
inferno	10–13	-0.01	25%	12 Jul →
cache	12–12	0.10	14%	12 Jul →
anubis	10–13	0.10	22%	12 Jul →
mirage	7–13	-0.03	18%	12 Jul →
fachwerk	12–12	0.03	26%	12 Jul →
inferno	13–11	0.05	22%	12 Jul →
inferno	6–13	-0.00	33%	11 Jul →
cache	13–9	0.07	11%	7 Jul →
anubis	13–10	0.10	13%	5 Jul →
office	4–13	-0.04	17%	5 Jul →
cache	11–13	0.02	27%	5 Jul →
dust2	13–8	0.09	22%	5 Jul →
nuke	13–8	0.02	15%	5 Jul →
mirage	13–6	-0.01	19%	3 Jul →
anubis	13–6	-0.01	25%	3 Jul →
cache	13–7	0.11	19%	3 Jul →
office	13–6	0.01	16%	3 Jul →
dust2	9–13	0.03	35%	3 Jul →
inferno	13–10	0.03	22%	20 Jun →
mirage	9–13	-0.05	10%	20 Jun →
inferno	13–8	0.04	12%	20 Jun →
nuke	13–9	-0.02	11%	18 Jun →
anubis	13–9	0.06	16%	13 Jun →
inferno	8–13	-0.02	13%	13 Jun →
mirage	9–13	0.09	16%	12 Jun →
ancient	13–10	-0.00	29%	10 Jun →
ancient	13–6	0.05	20%	5 Jun →
dust2	2–13	-0.07	17%	5 Jun →
cache	13–3	0.17	27%	5 Jun →
mirage	5–13	-0.02	9%	5 Jun →
dust2	13–10	-0.01	19%	4 Jun →
mirage	12–12	0.03	20%	2 Jun →
cache	2–13	-0.09	29%	30 May →
inferno	13–8	0.09	31%	30 May →
ancient	12–12	0.11	24%	30 May →
ancient	12–12	-0.02	18%	25 May →
anubis	13–4	0.04	15%	25 May →
dust2	10–13	0.08	28%	23 May →
cache	11–13	0.02	18%	23 May →
nuke	0–4	-0.01	44%	23 May →
nuke	9–13	0.02	35%	22 May →
cache	10–13	-0.03	13%	20 May →
inferno	9–13	0.03	31%	17 May →
cache	6–13	0.03	22%	14 May →
dust2	13–6	0.04	28%	14 May →
mirage	13–0	0.08	13%	9 May →
cache	12–12	0.08	27%	9 May →
cache	12–12	-0.06	20%	6 May →
overpass	3–13	-0.04	18%	6 May →
cache	13–3	0.01	26%	6 May →
dust2	13–4	-0.02	15%	3 May →
office	13–8	-0.01	22%	3 May →
cache	13–10	0.04	21%	3 May →
cache	13–8	0.05	25%	30 Apr →
overpass	13–10	0.04	24%	30 Apr →
cache	10–13	0.03	16%	29 Apr →
cache	13–11	0.04	9%	29 Apr →
inferno	10–13	-0.04	18%	28 Apr →
inferno	16–13	0.07	28%	28 Apr →
dust2	6–13	0.01	25%	27 Apr →
mirage	13–8	0.01	19%	27 Apr →
inferno	3–13	-0.03	13%	25 Apr →
inferno	19–15	-0.05	15%	22 Apr →
mirage	13–6	-0.05	36%	21 Apr →
inferno	5–13	-0.02	48%	21 Apr →
ancient	16–14	0.07	15%	21 Apr →