Feigned — CS2 Stats

US76561198453288814[U:1:493023086]Steam profile ↗

289Tracked matches66%Win rate2022Tracked since

139Hours in CS

CSDB Rating4.6 Developing

Premier CS Rating9,244Light Blue band · top ~58.5% of ranked players (population est.)

CSDB Leaderboard#21463 of 29075 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	Level 3 median	vs Level 3
Headshot rate	37.4%	42.1%	42.1%	4.7% short
Shot accuracy	8.5%	12.9%	12.1%	3.6% short
Kill/death ratio	0.93	1.00	0.99	0.06 short
Match win rate	42.2%	42.9%	43.9%	1.7% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim45

Positioning65

Utility4

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateLWLWLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim4.5

Aggression9.1

Utility0.4

Positioning6.5

Opening Duels4.0

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 jL 77% playstyle similarity

Most alike: opening-duel success, 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. 727ms 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

Aim4.5

Positioning6.5

Utility0.4

Mechanics6.7

Opening Duels4.0

Win Impact10.0

Composite 4.6/10 (Developing), 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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time731ms+4ms

first ⅓ avg 727ms → last ⅓ avg 731ms

Headshot accuracy14.8%−0.3%

first ⅓ avg 15.1% → last ⅓ avg 14.8%

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.

Highlights

0.12Best rating — train 13–5

13–0Biggest win — ancient

8Longest win streak

3–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	10–14	42%	-0.00
mirage	A	22	13–9	59%	0.01
inferno	D	16	5–11	31%	-0.00
nuke	B	10	5–5	50%	0.00
overpass	C	9	4–5	44%	0.01
ancient	S	9	7–2	78%	0.01
train	S	6	4–2	67%	0.03
anubis	—	4	2–2	50%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,954Lifetime kills

0.93K/D

339Matches

42.2%Match win rate

37.4%Headshot %

8.5%Shot accuracy

577MVPs

139Hours (in match)

310Bombs planted

83Bombs defused

Most-used weapons

AK-471,658

M4A4 / M4A1-S886

AWP718

P2000 / USP-S377

Glock-18270

Desert Eagle212

SSG 08132

FAMAS123

MAC-10105

Knife77

Lifetime map wins

708dust2

586inferno

348nuke

85vertigo

71train

3office

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

Skill profile

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

15.0%Headshot accuracy

34.2%Accuracy (enemy spotted)

30.6%Spray accuracy

80.2%Counter-strafing

10.5°Preaim

727msReaction time

40.2%T opening success

51.6%CT opening success

0.27Enemies flashed / flash

3.3%Flash assists

11.70HE damage / grenade

1.13Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 727.0865ms — above the 700ms mark we flag
Aim Training →
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 0.2711 — 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.

31% win rate across 16 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
overpass	5–13	-0.00	7%	11 Oct →
mirage	13–7	0.03	6%	11 Oct →
overpass	10–13	-0.05	15%	10 Oct →
mirage	16–13	0.03	16%	9 Oct →
train	7–13	-0.01	15%	9 Oct →
mirage	13–5	-0.01	13%	8 Oct →
overpass	13–5	-0.02	15%	8 Oct →
mirage	13–10	-0.02	6%	4 Oct →
mirage	13–8	0.06	17%	4 Oct →
mirage	13–9	-0.01	17%	4 Oct →
mirage	13–7	0.08	17%	4 Oct →
dust2	16–13	-0.01	12%	3 Oct →
inferno	13–8	0.10	16%	3 Oct →
inferno	1–6	-0.01	23%	2 Oct →
dust2	2–13	0.02	10%	2 Oct →
train	13–5	0.12	10%	2 Oct →
dust2	13–4	0.04	17%	2 Oct →
ancient	13–7	0.06	10%	28 Sept →
train	13–9	-0.01	8%	28 Sept →
dust2	3–13	-0.02	25%	28 Sept →
ancient	13–7	0.00	15%	28 Sept →
mirage	10–4	-0.00	28%	28 Sept →
ancient	15–15	0.00	13%	27 Sept →
inferno	14–16	0.04	16%	27 Sept →
inferno	14–16	0.00	20%	27 Sept →
inferno	7–13	-0.04	14%	27 Sept →
mirage	13–11	0.00	24%	25 Sept →
overpass	13–9	-0.00	6%	25 Sept →
overpass	16–12	0.08	24%	25 Sept →
mirage	9–13	0.02	21%	25 Sept →
dust2	16–14	-0.01	14%	24 Sept →
train	16–13	0.01	7%	24 Sept →
dust2	11–13	-0.02	13%	20 Sept →
nuke	4–13	-0.01	14%	20 Sept →
mirage	0–13	-0.07	21%	20 Sept →
dust2	11–13	-0.00	5%	20 Sept →
inferno	8–13	-0.04	20%	20 Sept →
ancient	13–11	0.03	8%	19 Sept →
mirage	4–13	0.01	14%	19 Sept →
train	16–12	0.06	9%	19 Sept →
overpass	13–6	0.02	11%	18 Sept →
inferno	13–9	-0.06	9%	18 Sept →
dust2	7–13	-0.01	15%	18 Sept →
inferno	3–13	-0.04	13%	18 Sept →
overpass	15–15	0.05	15%	13 Sept →
dust2	8–13	-0.00	12%	13 Sept →
dust2	2–13	-0.09	15%	13 Sept →
nuke	13–4	-0.01	12%	13 Sept →
mirage	16–12	0.02	19%	13 Sept →
mirage	13–2	0.12	15%	11 Sept →
dust2	13–7	-0.00	32%	11 Sept →
nuke	16–12	0.02	13%	23 Aug →
ancient	13–9	0.08	10%	23 Aug →
nuke	13–3	-0.05	24%	16 Aug →
dust2	11–13	-0.02	20%	13 Aug →
inferno	3–13	-0.01	28%	13 Aug →
overpass	10–13	-0.03	23%	10 Aug →
mirage	10–13	0.01	18%	2 Jul →
anubis	9–13	0.03	19%	28 Jun →
inferno	13–10	0.08	9%	28 Jun →
dust2	13–10	-0.00	3%	28 Jun →
dust2	1–13	-0.11	20%	28 Jun →
inferno	2–13	-0.04	14%	27 Jun →
nuke	11–6	-0.00	7%	27 Jun →
dust2	13–5	0.03	18%	27 Jun →
dust2	13–10	0.00	15%	27 Jun →
nuke	4–13	-0.02	12%	27 Jun →
anubis	13–4	0.04	6%	27 Jun →
dust2	11–13	0.06	11%	27 Jun →
dust2	13–6	0.05	20%	27 Jun →
dust2	1–13	-0.04	9%	27 Jun →
mirage	2–13	-0.07	12%	27 Jun →
train	6–9	-0.00	13%	27 Jun →
nuke	5–5	0.05	15%	27 Jun →
dust2	13–3	-0.03	17%	27 Jun →
ancient	13–2	-0.06	5%	27 Jun →
inferno	7–1	0.04	13%	27 Jun →
inferno	2–13	-0.04	11%	26 Jun →
inferno	6–13	-0.02	7%	26 Jun →
nuke	15–15	0.02	12%	26 Jun →
mirage	10–13	0.00	20%	26 Jun →
mirage	13–10	0.07	9%	26 Jun →
ancient	13–0	0.07	17%	26 Jun →
mirage	6–13	-0.05	18%	26 Jun →
anubis	10–13	-0.00	13%	26 Jun →
mirage	7–13	-0.01	24%	26 Jun →
inferno	13–10	0.05	15%	25 Jun →
nuke	13–8	0.08	21%	25 Jun →
dust2	9–13	-0.03	28%	14 Jun →
mirage	10–3	0.05	35%	14 Jun →
ancient	3–13	-0.04	18%	14 Jun →
dust2	10–13	-0.02	13%	14 Jun →
nuke	13–16	-0.06	13%	13 Jun →
mirage	5–13	-0.08	33%	12 Jun →
anubis	13–6	-0.01	27%	12 Jun →
ancient	13–8	-0.02	3%	12 Jun →
overpass	5–13	0.01	10%	11 Jun →
dust2	15–15	0.04	9%	11 Jun →
inferno	9–13	-0.06	9%	11 Jun →
dust2	13–10	0.06	11%	10 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

100 Matches

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

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