✪RazerBeatz™ — CS2 Stats

DE76561198035872540[U:1:75606812]Steam profile ↗✓ No bans

672Tracked matches43%Win rate2020Tracked since

3,137Hours in CS8Hrs last 2 wks

CSDB Rating5.1 DevelopingAggressive Rifler

Premier CS Rating15,491Purple band · top ~26.4% of ranked players (population est.)

CSDB Leaderboard#35099 of 60463 tracked

FaceitLevel 5 · 1,195 ELOTop 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Rating over time

15,491Peak Premier on CSDB

1,195Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,195
Next: Level 6 at 1,201 — 6 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-30
Level 4 first seen 2026-08-30

Premier CS Rating

At peak — 15,491
Next: Pink band at 20,000 — 4,509 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-30
Blue band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=2,587), 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 5 median	Level 6 median	vs Level 6
Headshot rate	43.7%	43.7%	44.7%	1.0% short
Shot accuracy	15.2%	11.8%	12.1%	above
Kill/death ratio	1.22	1.02	1.04	above
Match win rate	48.3%	45.0%	45.2%	above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim72

Positioning53

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWTTLWLWWLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.2

Aggression7.5

Utility2.8

Positioning5.3

Opening Duels2.9

Clutch4.8

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 ropz 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

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. 568ms 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

Aim7.2

Positioning5.3

Utility2.8

Mechanics6.3

Opening Duels2.9

Win Impact2.6

Composite 5.1/10 (Developing), 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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time570ms−71ms

first ⅓ avg 641ms → last ⅓ avg 570ms

Headshot accuracy19.7%+0.0%

first ⅓ avg 19.7% → last ⅓ avg 19.7%

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

0.21Best rating — overpass 13–1

13–1Biggest win — overpass

7Longest win streak

5–12In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 58% over 12anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	13–19	41%	0.01
cache	B	19	9–10	47%	0.01
mirage	B	18	9–9	50%	0.02
inferno	A	12	7–5	58%	0.01
anubis	D	5	1–4	20%	0.05
ancient	C	5	2–3	40%	-0.01
nuke	—	4	1–3	25%	0.04
overpass	—	4	3–1	75%	0.09
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,617Lifetime kills

1.22K/D · Top 25% of Level 5 players

3,295Matches

48.3%Match win rate · Top 25% of Level 5 players

43.7%Headshot %

15.2%Shot accuracy · Top 50% of Level 5 players

7,598MVPs

1,553Hours (in match)

4,296Bombs planted

742Bombs defused

Most-used weapons

AK-4720,560

M4A4 / M4A1-S14,952

AWP14,027

Desert Eagle5,518

P2000 / USP-S4,553

Glock-182,859

P2502,186

Galil AR1,690

FAMAS1,668

Five-SeveN1,087

Lifetime map wins

7,420inferno

7,059dust2

2,255nuke

1,403cbble

1,179train

432vertigo

81safehouse

59bank

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

Faceit stats

Combat

61Matches

48%Win rate

1.07Avg K/D

81.1ADR

41%Headshot %

Clutches & streaks

44%1v1 clutch win

11%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	57%	1.27	17.3
Dust2	4	25%	1.18	18.5
Inferno	4	75%	1.18	17.3
Anubis	3	100%	1.58	19.3
Overpass	2	0%	0.96	15.0
Ancient	1	0%	0.94	16.0
Nuke	1	0%	1.43	20.0

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.

19.9%Headshot accuracy

32.6%Accuracy (enemy spotted)

33.5%Spray accuracy

78.3%Counter-strafing

8.2°Preaim

568msReaction time

44.4%T opening success

38.8%CT opening success

0.45Enemies flashed / flash

5.9%Flash assists

9.07HE damage / grenade

2.15Flashes / 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 0.4491 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.8333% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–6	0.05	26%	30 Aug →
dust2	12–12	-0.10	14%	30 Aug →
cache	12–12	0.02	19%	30 Aug →
dust2	11–13	0.02	30%	23 Aug →
inferno	13–2	-0.01	12%	23 Aug →
cache	4–13	0.02	24%	23 Aug →
dust2	13–4	0.01	22%	23 Aug →
mirage	13–5	0.18	26%	18 Aug →
dust2	10–13	0.04	23%	18 Aug →
inferno	3–13	0.05	21%	16 Aug →
cache	3–2	0.09	17%	16 Aug →
mirage	13–10	0.03	17%	16 Aug →
dust2	13–7	0.04	14%	16 Aug →
dust2	11–13	-0.01	14%	16 Aug →
dust2	13–6	-0.04	33%	14 Aug →
anubis	11–13	0.06	10%	14 Aug →
nuke	10–13	0.08	10%	14 Aug →
ancient	9–13	-0.06	15%	9 Aug →
mirage	13–4	0.04	9%	9 Aug →
inferno	7–13	0.00	13%	8 Aug →
dust2	10–13	0.06	29%	8 Aug →
inferno	1–13	-0.08	80%	8 Aug →
cache	10–13	-0.03	29%	5 Aug →
inferno	13–4	0.04	22%	5 Aug →
cache	13–11	-0.04	20%	5 Aug →
anubis	7–13	0.01	10%	4 Aug →
cache	5–13	-0.03	10%	4 Aug →
dust2	6–13	-0.13	16%	4 Aug →
mirage	3–13	0.01	13%	2 Aug →
inferno	13–6	0.07	12%	2 Aug →
mirage	10–13	0.03	12%	2 Aug →
inferno	11–13	0.06	14%	30 Jul →
dust2	11–13	0.01	15%	30 Jul →
nuke	6–13	0.02	20%	30 Jul →
anubis	8–13	0.03	16%	26 Jul →
dust2	13–8	0.09	26%	26 Jul →
ancient	10–13	-0.02	14%	26 Jul →
mirage	0–13	-0.11	10%	26 Jul →
anubis	7–13	-0.00	19%	26 Jul →
dust2	9–13	0.06	36%	26 Jul →
cache	13–5	0.06	13%	26 Jul →
dust2	13–6	0.12	30%	21 Jul →
mirage	8–13	-0.02	15%	21 Jul →
mirage	11–13	-0.01	22%	19 Jul →
ancient	13–11	0.03	18%	19 Jul →
cache	13–10	0.03	21%	19 Jul →
cache	5–13	-0.03	14%	19 Jul →
anubis	13–9	0.12	18%	18 Jul →
cache	11–13	0.01	30%	18 Jul →
dust2	13–2	0.05	11%	18 Jul →
cache	13–10	0.02	18%	18 Jul →
ancient	10–13	-0.02	8%	18 Jul →
cache	13–16	0.01	15%	18 Jul →
cache	14–16	0.01	13%	18 Jul →
mirage	13–9	0.02	25%	14 Jul →
cache	13–5	0.11	18%	14 Jul →
mirage	10–13	-0.03	15%	12 Jul →
inferno	13–9	0.08	21%	12 Jul →
dust2	5–13	0.02	32%	5 Jul →
vertigo	13–8	-0.02	21%	5 Jul →
cache	13–11	-0.02	30%	2 Jul →
dust2	13–4	0.10	21%	1 Jul →
dust2	15–15	-0.01	12%	9 Jun →
dust2	11–13	-0.05	6%	9 Jun →
overpass	13–3	-0.01	13%	9 Jun →
overpass	13–3	0.15	19%	1 Jun →
cache	13–9	-0.03	19%	1 Jun →
cache	12–12	-0.00	24%	30 May →
cache	2–13	0.01	26%	23 May →
mirage	10–13	0.06	26%	12 Apr →
overpass	9–13	-0.01	18%	12 Apr →
mirage	13–4	0.05	22%	5 Apr →
dust2	13–2	0.06	30%	5 Apr →
nuke	13–6	-0.03	17%	5 Apr →
inferno	6–13	-0.08	8%	21 Mar →
dust2	12–12	-0.06	16%	17 Mar →
mirage	13–10	0.00	13%	17 Mar →
dust2	11–13	-0.02	23%	17 Mar →
dust2	13–6	0.02	10%	16 Mar →
dust2	8–13	-0.03	15%	15 Mar →
dust2	2–10	-0.04	27%	15 Mar →
dust2	13–8	0.05	20%	14 Mar →
dust2	10–13	-0.00	29%	13 Mar →
mirage	6–13	-0.04	23%	12 Mar →
dust2	13–10	-0.01	24%	12 Mar →
dust2	11–8	0.02	12%	1 Mar →
dust2	13–10	-0.06	11%	1 Mar →
mirage	13–4	0.12	15%	1 Mar →
inferno	13–5	0.00	18%	1 Mar →
ancient	13–11	0.02	16%	1 Mar →
inferno	13–2	0.03	18%	28 Feb →
mirage	12–12	0.13	10%	28 Feb →
dust2	11–13	0.02	18%	28 Feb →
overpass	13–1	0.21	40%	28 Feb →
nuke	12–12	0.09	19%	28 Feb →
mirage	13–9	-0.01	12%	28 Feb →
dust2	12–12	-0.04	43%	28 Feb →
inferno	13–8	0.00	4%	27 Feb →
mirage	13–6	-0.03	13%	27 Feb →
dust2	11–13	0.04	32%	27 Feb →