dem0n — CS2 Stats

76561198849148297[U:1:888882569]Steam profile ↗✓ No bans

1,151Tracked matches47%Win rate2020Tracked since

3,921Hours in CS9Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating23,041Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

CSDB Leaderboard#6991 of 29955 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	48.2%	42.5%	44.2%	above
Shot accuracy	13.3%	10.9%	11.2%	above
Kill/death ratio	1.21	0.99	1.04	above
Match win rate	48.8%	44.2%	45.3%	above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim85

Positioning61

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWLLWLLWWLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression8.9

Utility4.7

Positioning6.1

Opening Duels4.0

Sharp aimerExcellent counter-strafing

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher opening-fight frequency.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

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. 578ms 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

Aim8.5

Positioning6.1

Utility4.7

Mechanics8.9

Opening Duels4.0

Win Impact3.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time574ms−28ms

first ⅓ avg 602ms → last ⅓ avg 574ms

Headshot accuracy23.9%−1.3%

first ⅓ avg 25.2% → last ⅓ avg 23.9%

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

0.19Best rating — mirage 13–3

13–2Biggest win — anubis

6Longest win streak

11–2In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 67% over 15ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	13–18	42%	0.05
inferno	B	26	13–13	50%	0.04
dust2	S	15	10–5	67%	0.02
ancient	C	13	5–8	38%	0.03
anubis	C	5	2–3	40%	-0.00
nuke	C	5	2–3	40%	0.06
cache	—	2	2–0	100%	0.03
train	—	2	0–2	0%	-0.02
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,724Lifetime kills

1.21K/D · Top 25% of Level 4 players

5,224Matches

48.8%Match win rate · Top 25% of Level 4 players

48.2%Headshot % · Top 50% of Level 4 players

13.3%Shot accuracy · Top 50% of Level 4 players

17,895MVPs

2,604Hours (in match)

8,682Bombs planted

2,419Bombs defused

Most-used weapons

AK-4744,439

M4A4 / M4A1-S21,656

AWP20,978

Desert Eagle9,244

P2000 / USP-S7,371

Glock-185,073

SG 5533,593

Galil AR2,626

AUG2,501

P2501,894

Lifetime map wins

19,075inferno

9,094dust2

2,456train

2,216nuke

1,222vertigo

42office

39cbble

24lake

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

Faceit stats

Combat

5Matches

80%Win rate

1.16Avg K/D

—ADR

46%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLW

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.

22.9%Headshot accuracy

36.9%Accuracy (enemy spotted)

35.7%Spray accuracy

89.9%Counter-strafing

9.0°Preaim

578msReaction time

39.5%T opening success

52.1%CT opening success

0.64Enemies flashed / flash

6.2%Flash assists

6.68HE damage / grenade

8.23Flashes / 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.

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 39.5411% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–3	0.02	35%	28 Aug →
anubis	5–9	-0.03	46%	28 Aug →
mirage	9–13	0.03	29%	27 Aug →
cache	13–11	0.09	18%	27 Aug →
inferno	9–13	0.01	20%	27 Aug →
mirage	0–13	-0.03	0%	23 Aug →
inferno	13–8	0.03	19%	23 Aug →
ancient	13–4	0.03	35%	23 Aug →
mirage	14–16	0.01	20%	17 Aug →
dust2	13–11	-0.05	9%	17 Aug →
inferno	7–13	0.04	20%	17 Aug →
anubis	13–2	0.02	27%	17 Aug →
overpass	2–13	0.05	15%	17 Aug →
ancient	4–13	0.09	49%	14 Aug →
inferno	10–13	0.10	24%	14 Aug →
mirage	13–9	-0.06	22%	14 Aug →
inferno	13–9	0.03	18%	14 Aug →
mirage	2–13	-0.03	21%	4 Aug →
inferno	10–13	0.04	22%	4 Aug →
mirage	13–5	0.06	25%	4 Aug →
mirage	10–13	0.04	24%	4 Aug →
dust2	13–9	0.13	34%	4 Aug →
inferno	13–8	0.02	26%	4 Aug →
mirage	9–13	0.05	15%	31 Jul →
anubis	7–13	-0.02	7%	31 Jul →
inferno	13–9	0.05	18%	31 Jul →
ancient	13–11	0.07	20%	31 Jul →
nuke	10–13	0.04	44%	31 Jul →
mirage	7–13	0.07	29%	31 Jul →
dust2	13–7	0.06	16%	30 Jul →
inferno	13–8	0.06	31%	30 Jul →
ancient	10–13	0.04	30%	30 Jul →
inferno	13–16	0.05	24%	30 Jul →
mirage	16–14	0.08	25%	30 Jul →
dust2	8–13	-0.05	27%	29 Jul →
ancient	13–8	-0.06	32%	29 Jul →
ancient	13–3	0.04	33%	29 Jul →
mirage	13–5	-0.04	9%	27 Jul →
inferno	7–13	0.07	31%	27 Jul →
mirage	3–13	0.00	23%	27 Jul →
inferno	16–14	-0.01	27%	25 Jul →
inferno	9–13	-0.00	23%	24 Jul →
dust2	13–7	0.05	27%	21 Jul →
mirage	13–10	0.08	26%	21 Jul →
mirage	9–13	0.01	29%	21 Jul →
inferno	13–10	0.02	30%	21 Jul →
ancient	8–13	0.04	36%	20 Jul →
mirage	13–6	0.13	42%	20 Jul →
cache	9–0	-0.02	29%	20 Jul →
inferno	13–2	0.12	30%	20 Jul →
anubis	13–6	0.04	33%	17 Jul →
mirage	13–10	0.09	32%	17 Jul →
inferno	13–8	-0.03	29%	17 Jul →
mirage	12–12	0.11	30%	17 Jul →
dust2	13–10	0.10	32%	17 Jul →
nuke	13–3	0.03	22%	17 Jul →
dust2	11–3	-0.04	19%	17 Jul →
mirage	12–12	0.06	29%	17 Jul →
ancient	15–15	-0.01	12%	17 Jul →
inferno	6–13	-0.01	20%	10 Jul →
ancient	13–7	0.15	31%	10 Jul →
dust2	7–13	-0.02	39%	10 Jul →
mirage	13–3	0.19	22%	10 Jul →
inferno	16–12	0.10	14%	10 Jul →
mirage	1–13	-0.00	50%	10 Jul →
inferno	13–11	0.05	29%	10 Jul →
mirage	12–16	0.05	18%	10 Jul →
mirage	4–13	0.02	14%	10 Jul →
dust2	13–6	0.04	23%	10 Jul →
train	8–13	-0.05	31%	8 Jul →
mirage	13–7	0.18	29%	8 Jul →
dust2	12–12	0.00	31%	8 Jul →
nuke	10–13	0.07	35%	8 Jul →
mirage	13–6	0.16	33%	8 Jul →
dust2	13–11	-0.01	17%	8 Jul →
ancient	9–13	0.01	23%	8 Jul →
mirage	13–5	0.11	21%	8 Jul →
dust2	13–11	0.06	22%	8 Jul →
inferno	13–11	0.01	27%	8 Jul →
train	7–13	0.01	36%	8 Jul →
mirage	4–13	-0.05	15%	3 Jul →
inferno	13–11	0.10	34%	3 Jul →
dust2	10–13	-0.02	18%	3 Jul →
mirage	6–13	-0.08	40%	3 Jul →
mirage	8–13	0.00	17%	3 Jul →
ancient	6–13	-0.02	12%	3 Jul →
inferno	2–13	-0.06	35%	3 Jul →
nuke	4–13	0.00	18%	3 Jul →
inferno	8–13	0.11	29%	29 Jun →
ancient	6–13	-0.01	13%	29 Jun →
inferno	15–15	0.05	17%	29 Jun →
mirage	13–2	0.09	52%	29 Jun →
inferno	15–15	0.04	10%	27 Jun →
mirage	16–14	0.00	33%	22 Jun →
dust2	7–13	0.03	20%	22 Jun →
inferno	14–16	0.07	28%	22 Jun →
nuke	13–10	0.14	23%	22 Jun →
anubis	6–13	-0.03	21%	22 Jun →
ancient	2–13	0.03	27%	22 Jun →
mirage	8–13	0.06	29%	22 Jun →