fetacogg — CS2 Stats

76561199503500967[U:1:1543235239]Steam profile ↗✓ No bans

313Tracked matches63%Win rate2023Tracked since

309Hours in CS10Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating19,287Purple band · top ~11.3% of ranked players (population est.)

CSDB Leaderboard#17834 of 40725 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median	Level 4 median	vs Level 4
Headshot rate	35.3%	42.2%	42.7%	7.3% short
Shot accuracy	9.3%	11.9%	10.8%	1.5% short
Kill/death ratio	0.90	0.98	1.00	0.10 short
Match win rate	44.8%	43.6%	44.1%	meets

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim66

Positioning57

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLLWWWLWLWW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6

Aggression8.9

Utility3.9

Positioning5.7

Opening Duels4.5

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 ropz 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; lower aim profile.

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. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.6

Positioning5.7

Utility3.9

Mechanics3.0

Opening Duels4.5

Win Impact9.4

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-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time599ms−32ms

first ⅓ avg 631ms → last ⅓ avg 599ms

Headshot accuracy19.8%+3.6%

first ⅓ avg 16.2% → last ⅓ avg 19.8%

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

0.17Best rating — dust2 5–2

13–1Biggest win — ancient

7Longest win streak

L2Current streak

9–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 69% over 16infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	39	23–16	59%	-0.01
dust2	S	25	17–8	68%	-0.00
cache	S	16	11–5	69%	-0.01
inferno	D	12	3–9	25%	-0.03
ancient	—	4	4–0	100%	-0.02
anubis	—	2	1–1	50%	-0.04
overpass	—	1	1–0	100%	0.01
nuke	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,577Lifetime kills

0.90K/D

471Matches

44.8%Match win rate · Top 50% of Level 3 players

35.3%Headshot %

9.3%Shot accuracy

824MVPs

165Hours (in match)

466Bombs planted

123Bombs defused

Most-used weapons

AWP2,016

M4A4 / M4A1-S983

AK-47914

P2000 / USP-S522

SSG 08499

Glock-18314

Desert Eagle198

MP9136

Galil AR132

FAMAS111

Lifetime map wins

726dust2

474inferno

96cbble

87nuke

60vertigo

20train

13office

7safehouse

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.

20.2%Headshot accuracy

36.5%Accuracy (enemy spotted)

33.3%Spray accuracy

63.4%Counter-strafing

8.1°Preaim

586msReaction time

35.8%T opening success

60.6%CT opening success

0.44Enemies flashed / flash

2.8%Flash assists

11.39HE damage / grenade

6.44Flashes / 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 0.4402 — 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 35.8292% — below the 40% mark we flag

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.

25% win rate across 12 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
mirage	3–13	-0.05	22%	29 Aug →
cache	11–13	0.06	28%	29 Aug →
dust2	13–2	-0.00	17%	28 Aug →
dust2	7–4	-0.03	67%	28 Aug →
mirage	13–3	-0.05	39%	27 Aug →
mirage	2–13	-0.11	0%	27 Aug →
mirage	13–7	-0.02	10%	22 Aug →
inferno	5–13	-0.08	13%	21 Aug →
ancient	13–4	-0.07	23%	21 Aug →
inferno	13–3	0.09	29%	19 Aug →
mirage	13–8	0.05	20%	18 Aug →
dust2	13–6	0.05	17%	17 Aug →
mirage	13–8	0.01	38%	16 Aug →
cache	13–10	-0.04	5%	16 Aug →
cache	13–8	-0.07	27%	15 Aug →
anubis	9–13	-0.04	16%	15 Aug →
ancient	13–1	0.02	18%	14 Aug →
inferno	1–13	-0.04	33%	10 Aug →
mirage	13–10	-0.03	16%	8 Aug →
cache	13–10	0.02	14%	8 Aug →
dust2	13–8	0.05	42%	5 Aug →
mirage	5–13	-0.04	16%	2 Aug →
mirage	11–13	-0.04	12%	2 Aug →
mirage	13–7	0.04	29%	1 Aug →
cache	13–11	-0.03	18%	1 Aug →
mirage	0–13	-0.04	0%	1 Aug →
dust2	13–8	-0.01	9%	1 Aug →
mirage	13–3	-0.02	13%	1 Aug →
mirage	10–13	0.00	8%	1 Aug →
cache	10–13	0.02	22%	31 Jul →
mirage	5–13	-0.03	9%	30 Jul →
mirage	13–4	-0.07	10%	30 Jul →
cache	13–5	-0.03	15%	29 Jul →
dust2	13–9	-0.07	23%	29 Jul →
inferno	2–13	-0.08	10%	28 Jul →
dust2	13–16	-0.06	13%	28 Jul →
dust2	13–16	-0.07	12%	26 Jul →
dust2	4–13	-0.01	15%	26 Jul →
mirage	7–13	-0.02	14%	25 Jul →
mirage	7–13	0.01	21%	24 Jul →
mirage	13–6	0.05	12%	24 Jul →
cache	13–9	-0.02	18%	24 Jul →
inferno	6–13	-0.03	10%	24 Jul →
mirage	9–13	0.02	24%	22 Jul →
inferno	10–13	-0.10	7%	22 Jul →
mirage	7–13	-0.10	8%	22 Jul →
mirage	4–13	-0.03	6%	22 Jul →
dust2	13–11	0.04	16%	20 Jul →
cache	13–11	-0.02	5%	20 Jul →
mirage	13–9	0.02	11%	20 Jul →
mirage	13–7	0.01	15%	19 Jul →
mirage	13–6	-0.01	13%	19 Jul →
dust2	13–11	-0.08	17%	19 Jul →
cache	9–13	-0.08	12%	18 Jul →
cache	13–1	-0.03	20%	18 Jul →
dust2	13–6	0.04	17%	18 Jul →
dust2	13–6	0.07	14%	17 Jul →
dust2	5–2	0.17	38%	17 Jul →
dust2	6–13	-0.07	13%	16 Jul →
mirage	13–4	0.02	19%	16 Jul →
mirage	7–13	-0.03	26%	15 Jul →
dust2	13–8	0.08	14%	11 Jul →
mirage	13–7	-0.03	19%	11 Jul →
cache	7–13	0.00	9%	11 Jul →
dust2	9–13	-0.02	23%	10 Jul →
cache	13–6	-0.01	13%	10 Jul →
dust2	6–13	-0.11	17%	10 Jul →
dust2	13–10	0.08	9%	9 Jul →
dust2	13–4	0.03	33%	8 Jul →
mirage	12–12	0.01	18%	7 Jul →
mirage	13–7	-0.02	9%	7 Jul →
inferno	13–9	0.01	12%	1 Jul →
mirage	13–7	0.02	25%	1 Jul →
anubis	13–8	-0.04	11%	1 Jul →
mirage	6–13	-0.03	3%	28 Jun →
ancient	13–11	0.03	6%	27 Jun →
inferno	10–13	-0.01	8%	27 Jun →
mirage	16–13	0.01	16%	27 Jun →
dust2	8–13	0.02	12%	26 Jun →
cache	9–13	0.04	12%	26 Jun →
cache	13–6	0.04	9%	22 Jun →
mirage	13–11	0.04	15%	22 Jun →
dust2	3–0	-0.04	100%	22 Jun →
cache	13–6	0.01	18%	21 Jun →
inferno	3–13	-0.05	10%	21 Jun →
dust2	7–13	-0.08	21%	7 Jun →
inferno	4–13	-0.05	13%	7 Jun →
overpass	16–14	0.01	7%	7 Jun →
mirage	13–11	0.08	11%	6 Jun →
inferno	14–16	-0.05	20%	5 Jun →
mirage	13–5	-0.03	13%	5 Jun →
dust2	13–5	-0.03	16%	4 Jun →
mirage	13–5	0.03	29%	4 Jun →
mirage	13–11	-0.03	16%	4 Jun →
nuke	5–13	0.03	6%	4 Jun →
mirage	13–7	0.01	9%	3 Jun →
ancient	13–10	-0.05	4%	3 Jun →
dust2	13–10	0.01	15%	31 May →
inferno	13–2	0.01	24%	31 May →
mirage	3–13	-0.05	6%	31 May →