Devour — CS2 Stats

US76561198046683532[U:1:86417804]Steam profile ↗✓ No bans

1,615Tracked matches50%Win rate2020Tracked since

6,775Hours in CS33Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating25,738Top 25% of 44,590 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#5032 of 58651 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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 10 median
Headshot rate	37.5%	51.7%
Shot accuracy	16.2%	13.8%
Kill/death ratio	1.26	1.09
Match win rate	52.3%	48.7%

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Performance scores

Aim80

Positioning58

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLLWWLWLWLW

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

Player DNA

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

Aim8.0

Aggression6.0

Utility3.8

Positioning5.8

Opening Duels3.1

Clutch3.6

Strong CT-side openerLimited 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 b1t 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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.

T-side openings. Opening success drops from 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0

Positioning5.8

Utility3.8

Mechanics6.2

Opening Duels3.1

Win Impact5.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time508ms−55ms

first ⅓ avg 563ms → last ⅓ avg 508ms

Headshot accuracy17.7%−2.4%

first ⅓ avg 20.0% → last ⅓ avg 17.7%

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 — train 13–3

13–1Biggest win — ancient

12Longest win streak

L2Current streak

4–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 75% over 12cacheWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	17	11–6	65%	0.03
cache	D	15	5–10	33%	0.01
inferno	A	14	9–5	64%	0.03
dust2	B	13	6–7	46%	0.01
nuke	S	12	9–3	75%	0.02
ancient	A	11	7–4	64%	0.03
vertigo	B	6	3–3	50%	0.01
train	—	4	3–1	75%	0.07
anubis	—	3	1–2	33%	0.02
overpass	—	3	0–3	0%	0.02
shelter	—	1	0–1	0%	0.05
fachwerk	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Lifetime stats

202,156Lifetime kills

1.26K/D · Top 25% of Level 10 players

8,083Matches

52.3%Match win rate · Top 25% of Level 10 players

37.5%Headshot %

16.2%Shot accuracy · Top 50% of Level 10 players

26,860MVPs

3,684Hours (in match)

9,028Bombs planted

2,807Bombs defused

Most-used weapons

AK-4748,814

AWP44,560

M4A4 / M4A1-S32,410

Desert Eagle12,859

P2000 / USP-S11,418

Glock-187,507

Knife6,994

P2504,201

FAMAS3,113

Five-SeveN2,913

Lifetime map wins

21,796inferno

12,267dust2

7,154nuke

4,468train

2,917cbble

2,265vertigo

1,496office

196italy

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

Faceit stats

Combat

1,143Matches

54%Win rate

1.22Avg K/D

86.1ADR

36%Headshot %

Clutches & streaks

38%1v1 clutch win

26%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	39	54%	1.13	16.9
Ancient	35	57%	1.31	17.8
Dust2	30	60%	1.16	17.6
Inferno	25	60%	1.19	19.1
Nuke	21	52%	1.32	20.3
Anubis	15	53%	1.19	18.1
Train	11	64%	1.57	21.4
Overpass	5	80%	1.10	16.4

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.

16.8%Headshot accuracy

36.5%Accuracy (enemy spotted)

42.9%Spray accuracy

77.9%Counter-strafing

9.6°Preaim

508msReaction time

32.1%T opening success

52.3%CT opening success

0.48Enemies flashed / flash

6.3%Flash assists

11.02HE damage / grenade

2.18Flashes / 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 0.4836 — 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 32.0734% — below the 40% mark we flag

Spend your practice time on Cache

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 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.02	16%	30 Aug →
cache	11–13	0.01	8%	30 Aug →
inferno	13–4	0.02	18%	30 Aug →
ancient	13–5	0.05	7%	30 Aug →
cache	8–13	-0.02	10%	26 Aug →
mirage	13–5	0.13	31%	25 Aug →
cache	5–13	-0.07	17%	25 Aug →
inferno	13–8	0.08	21%	21 Aug →
vertigo	9–13	0.09	12%	21 Aug →
cache	13–9	-0.01	17%	21 Aug →
cache	7–13	-0.08	9%	21 Aug →
ancient	13–7	0.00	20%	20 Aug →
dust2	13–9	0.02	10%	20 Aug →
vertigo	9–13	0.02	24%	20 Aug →
nuke	13–9	-0.02	20%	19 Aug →
mirage	13–8	0.03	21%	19 Aug →
dust2	10–13	-0.03	25%	19 Aug →
mirage	11–13	0.07	18%	19 Aug →
ancient	4–13	-0.01	18%	19 Aug →
cache	10–13	0.01	21%	19 Aug →
nuke	13–8	0.00	22%	19 Aug →
inferno	13–3	0.14	28%	19 Aug →
ancient	13–5	0.05	11%	17 Aug →
ancient	2–13	-0.06	12%	17 Aug →
inferno	5–13	-0.00	13%	16 Aug →
train	13–10	0.02	14%	16 Aug →
ancient	9–13	0.04	15%	11 Aug →
inferno	13–11	0.07	15%	11 Aug →
inferno	13–16	0.07	16%	9 Aug →
vertigo	13–9	-0.01	15%	7 Aug →
vertigo	13–10	0.07	28%	3 Aug →
vertigo	13–11	-0.01	23%	3 Aug →
mirage	5–13	0.09	28%	30 Jul →
shelter	12–12	0.05	15%	23 Jul →
fachwerk	13–7	0.05	13%	23 Jul →
cache	10–13	-0.00	11%	21 Jul →
cache	3–8	-0.01	11%	17 Jul →
cache	13–5	0.15	38%	17 Jul →
inferno	1–6	-0.04	0%	16 Jul →
dust2	0–13	-0.04	43%	16 Jul →
cache	13–5	0.06	16%	16 Jul →
mirage	13–5	0.04	9%	16 Jul →
ancient	2–13	0.03	23%	14 Jul →
anubis	13–7	0.00	17%	14 Jul →
dust2	7–13	-0.07	24%	14 Jul →
dust2	11–4	0.03	26%	14 Jul →
dust2	12–12	0.09	27%	12 Jul →
cache	4–13	-0.05	50%	12 Jul →
cache	13–4	0.05	31%	11 Jul →
nuke	13–8	0.01	16%	11 Jul →
anubis	11–13	0.09	22%	10 Jul →
nuke	20–22	-0.00	14%	9 Jul →
inferno	13–10	0.08	24%	8 Jul →
dust2	13–7	-0.03	20%	8 Jul →
dust2	16–12	0.08	21%	7 Jul →
nuke	13–4	0.05	30%	7 Jul →
ancient	13–7	0.03	15%	7 Jul →
inferno	13–8	0.01	23%	7 Jul →
dust2	13–10	0.02	21%	6 Jul →
inferno	13–7	0.02	10%	6 Jul →
ancient	13–4	0.13	24%	6 Jul →
mirage	13–7	0.06	35%	5 Jul →
inferno	13–7	-0.03	19%	5 Jul →
mirage	13–9	0.01	20%	5 Jul →
nuke	10–13	0.06	17%	5 Jul →
dust2	9–13	0.03	9%	4 Jul →
nuke	13–8	0.00	20%	4 Jul →
mirage	13–4	0.11	19%	1 Jul →
cache	12–12	0.05	19%	1 Jul →
mirage	13–3	0.06	35%	29 Jun →
dust2	7–13	0.02	21%	29 Jun →
vertigo	0–5	-0.08	0%	29 Jun →
ancient	13–1	0.03	43%	29 Jun →
mirage	5–13	0.08	30%	29 Jun →
overpass	3–13	0.01	9%	29 Jun →
ancient	13–11	0.07	12%	29 Jun →
mirage	2–13	-0.06	25%	29 Jun →
nuke	13–3	0.05	15%	29 Jun →
train	13–2	0.05	39%	25 Jun →
cache	8–13	-0.02	24%	25 Jun →
train	13–3	0.17	22%	20 Jun →
overpass	12–12	0.06	19%	20 Jun →
anubis	2–13	-0.04	13%	18 Jun →
mirage	13–4	0.01	21%	18 Jun →
mirage	13–4	-0.02	24%	18 Jun →
nuke	13–9	0.09	18%	14 Jun →
inferno	10–13	-0.01	14%	12 Jun →
inferno	13–7	0.05	16%	7 Jun →
train	5–13	0.03	17%	4 Jun →
mirage	2–13	-0.05	21%	1 Jun →
dust2	13–7	0.05	27%	1 Jun →
mirage	13–4	0.03	29%	1 Jun →
cache	13–1	0.11	15%	31 May →
overpass	5–13	-0.02	9%	31 May →
nuke	13–11	0.05	17%	31 May →
mirage	11–13	-0.03	20%	31 May →
nuke	13–3	0.04	21%	31 May →
dust2	11–13	0.01	20%	31 May →
nuke	3–13	-0.06	15%	31 May →
mirage	13–8	0.01	14%	31 May →