Fattarduu — CS2 Stats

SD76561198331007240[U:1:370741512]Steam profile ↗✓ No bans

713Tracked matches60%Win rate2020Tracked since

5,575Hours in CS37Hrs last 2 wks

CSDB Rating7.0 StrongEntry Fragger

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median	Level 10 median	vs Level 10
Headshot rate	39.6%	49.0%	52.0%	12.5% short
Shot accuracy	15.3%	13.1%	13.7%	above
Kill/death ratio	1.16	1.08	1.08	above
Match win rate	45.6%	46.9%	48.8%	3.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning68

Utility44

0–100 skill scores via Leetify.

Recent form

HOT55–45Last 10055%Win rateWWLWWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim8.2

Aggression10.0

Utility4.4

Positioning6.8

Opening Duels6.1

Clutch3.0

Limited utility dependence

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 s1mple 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 582ms 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

Aim8.2

Positioning6.8

Utility4.4

Mechanics7.3

Opening Duels6.1

Win Impact8.3

Composite 7.0/10 (Strong), 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 rating0.03−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time572ms+22ms

first ⅓ avg 550ms → last ⅓ avg 572ms

Headshot accuracy21.4%−0.5%

first ⅓ avg 21.9% → last ⅓ avg 21.4%

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

0.15Best rating — nuke 13–11

13–1Biggest win — nuke

7Longest win streak

W2Current streak

10–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

vertigoBest map · 100% over 9infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	19	11–8	58%	0.02
mirage	B	17	8–9	47%	0.03
cache	C	16	6–10	38%	0.02
nuke	C	10	4–6	40%	0.05
vertigo	S	9	9–0	100%	0.05
dust2	S	7	5–2	71%	0.02
ancient	C	7	3–4	43%	-0.01
overpass	S	7	6–1	86%	0.02
inferno	D	6	2–4	33%	0.01
cbble_d	—	1	0–1	0%	0.03
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,613Lifetime kills

1.16K/D · Top 50% of Level 9 players

5,438Matches

45.6%Match win rate

39.6%Headshot %

15.3%Shot accuracy · Top 50% of Level 9 players

15,152MVPs

2,369Hours (in match)

5,707Bombs planted

2,150Bombs defused

Most-used weapons

AWP36,229

AK-4735,932

M4A4 / M4A1-S17,444

Desert Eagle8,428

P2000 / USP-S8,063

Glock-186,483

SSG 083,700

Knife2,273

P2501,697

Galil AR1,467

Lifetime map wins

7,130inferno

4,142dust2

3,979train

3,434nuke

1,359vertigo

1,305cbble

135office

77lake

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

Faceit stats

Combat

1,435Matches

51%Win rate

1.17Avg K/D

85.9ADR

45%Headshot %

Clutches & streaks

35%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	137	43%	1.18	17.6
Anubis	84	64%	1.32	19.1
Dust2	73	51%	1.20	16.7
Inferno	62	52%	1.16	17.0
Ancient	52	48%	1.05	15.9
Nuke	47	40%	1.15	16.9
Vertigo	30	50%	1.08	14.6
Cache	14	50%	1.25	17.1

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.

21.8%Headshot accuracy

35.8%Accuracy (enemy spotted)

34.6%Spray accuracy

82.9%Counter-strafing

7.7°Preaim

582msReaction time

52.1%T opening success

56.7%CT opening success

0.44Enemies flashed / flash

10.3%Flash assists

9.34HE damage / grenade

3.69Flashes / 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 0.4375 — 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.

33% win rate across 6 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
dust2	13–11	-0.06	14%	27 Aug →
ancient	16–14	0.06	31%	27 Aug →
inferno	10–13	0.02	18%	21 Aug →
cache	13–5	0.03	10%	21 Aug →
anubis	13–9	0.07	16%	17 Aug →
anubis	13–9	0.05	17%	14 Aug →
vertigo	13–5	0.04	20%	11 Aug →
mirage	15–19	0.02	18%	7 Aug →
cache	13–10	0.07	22%	7 Aug →
vertigo	13–4	0.14	35%	6 Aug →
cache	7–13	0.01	16%	6 Aug →
anubis	13–7	0.06	13%	31 Jul →
mirage	7–13	0.01	35%	31 Jul →
anubis	8–13	0.03	7%	29 Jul →
cache	13–6	0.03	27%	29 Jul →
anubis	4–13	0.00	11%	29 Jul →
vertigo	13–11	0.09	19%	29 Jul →
mirage	16–13	0.06	51%	27 Jul →
ancient	14–16	-0.01	17%	25 Jul →
nuke	7–13	0.02	21%	23 Jul →
cache	13–5	0.01	20%	19 Jul →
inferno	13–3	0.08	33%	19 Jul →
inferno	9–3	-0.07	28%	19 Jul →
vertigo	9–3	0.11	18%	18 Jul →
dust2	19–15	0.03	25%	17 Jul →
ancient	13–4	-0.06	19%	14 Jul →
anubis	13–10	0.05	17%	13 Jul →
mirage	2–13	-0.02	9%	13 Jul →
cache	9–13	0.07	28%	10 Jul →
overpass	6–13	-0.01	18%	10 Jul →
cache	8–13	-0.02	17%	10 Jul →
anubis	13–4	0.01	37%	10 Jul →
mirage	13–7	0.08	19%	10 Jul →
inferno	7–13	0.02	24%	10 Jul →
anubis	14–16	-0.00	21%	9 Jul →
anubis	4–13	0.03	28%	9 Jul →
cache	18–22	0.01	25%	9 Jul →
anubis	6–13	-0.08	17%	8 Jul →
overpass	12–4	-0.00	22%	8 Jul →
mirage	5–13	0.04	42%	8 Jul →
mirage	13–7	0.02	22%	7 Jul →
anubis	13–5	0.06	20%	7 Jul →
mirage	11–13	0.01	14%	6 Jul →
overpass	13–5	0.02	19%	6 Jul →
cache	13–10	0.01	27%	6 Jul →
anubis	17–19	0.00	16%	5 Jul →
nuke	3–13	0.01	27%	5 Jul →
dust2	13–6	0.04	26%	5 Jul →
cache	11–13	0.02	22%	5 Jul →
anubis	13–5	0.04	16%	5 Jul →
dust2	13–11	0.07	35%	5 Jul →
mirage	13–5	0.01	26%	5 Jul →
vertigo	19–15	0.05	26%	5 Jul →
mirage	13–2	0.09	28%	5 Jul →
anubis	13–11	0.03	25%	4 Jul →
cbble_d	11–13	0.03	16%	4 Jul →
mirage	12–16	-0.01	13%	4 Jul →
vertigo	13–7	0.01	32%	4 Jul →
inferno	6–13	0.03	28%	4 Jul →
cache	5–13	0.03	30%	4 Jul →
nuke	7–13	0.00	21%	3 Jul →
anubis	13–10	0.01	22%	3 Jul →
train	22–20	0.06	20%	3 Jul →
ancient	14–16	-0.01	17%	3 Jul →
dust2	8–13	-0.02	22%	3 Jul →
ancient	3–13	-0.02	40%	3 Jul →
overpass	13–9	-0.01	19%	2 Jul →
cache	6–13	-0.00	19%	2 Jul →
nuke	9–13	0.02	23%	2 Jul →
cache	13–5	-0.01	19%	1 Jul →
vertigo	13–5	-0.02	13%	1 Jul →
mirage	13–7	0.10	18%	1 Jul →
vertigo	13–9	0.02	19%	1 Jul →
mirage	11–13	-0.00	19%	30 Jun →
nuke	13–6	0.08	25%	29 Jun →
nuke	10–13	0.06	23%	28 Jun →
vertigo	13–11	0.02	24%	28 Jun →
mirage	4–11	0.05	32%	27 Jun →
overpass	13–8	0.02	24%	27 Jun →
dust2	13–7	0.06	12%	26 Jun →
nuke	10–13	0.05	25%	26 Jun →
cache	10–13	0.07	16%	21 Jun →
mirage	10–13	-0.04	19%	21 Jun →
anubis	13–9	0.02	31%	20 Jun →
overpass	13–6	0.08	21%	19 Jun →
inferno	2–13	-0.02	23%	19 Jun →
ancient	13–4	0.06	31%	19 Jun →
overpass	13–11	0.07	28%	19 Jun →
anubis	13–9	0.06	17%	19 Jun →
mirage	13–11	0.03	24%	18 Jun →
nuke	13–11	0.15	22%	17 Jun →
mirage	13–5	0.09	24%	12 Jun →
nuke	13–10	0.10	14%	11 Jun →
cache	8–13	0.02	28%	11 Jun →
dust2	8–13	0.03	10%	11 Jun →
anubis	10–13	0.02	41%	8 Jun →
anubis	17–19	-0.00	23%	6 Jun →
ancient	5–13	-0.08	15%	5 Jun →
nuke	13–1	0.05	29%	28 May →
cache	9–13	0.01	11%	28 May →