Beefcake — CS2 Stats

76561198002310977[U:1:42045249]Steam profile ↗✓ No bans

805Tracked matches52%Win rate2021Tracked since

CSDB Rating4.8 DevelopingAll-Rounder

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 805 tracked matches. Play, then come back: the next observation lands here.

Rating over time

52Days played since 2026-02-17

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim44

Positioning50

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46–39–15Last 10046%Win rateTWWLLWLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +2.3pp headshot accuracy · +19ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 12%
Avg reaction 673ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 682ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 673ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.4

Utility4.6

Positioning5.0

Opening Duels4.1

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Flashes. 0.89 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 672ms 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

Aim4.4

Positioning5.0

Utility4.6

Mechanics6.5

Opening Duels2.8

Win Impact5.6

Composite 4.8/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time690ms−7ms

first ⅓ avg 697ms → last ⅓ avg 690ms

Headshot accuracy14.2%+0.0%

first ⅓ avg 14.2% → last ⅓ avg 14.2%

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.

Personal bests

0.09Best match rating · 13–6 · dust2, 29 May →

28%Best headshot accuracy · 13–4 · dust2, 7 Apr →

453msFastest reaction time · 11–13 · dust2, 1 Apr →

13–1Biggest win · dust2, 28 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 4 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	95	45–50	47%	-0.02
anubis	—	2	0–2	0%	-0.04
inferno	—	2	0–2	0%	0.00
ancient	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Faceit stats

Combat

11Matches

27%Win rate

0.79Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	1	100%	1.00	16.0
Mirage	1	0%	0.85	11.0
Dust2	1	100%	0.50	9.0

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.

13.6%Headshot accuracy

30.3%Accuracy (enemy spotted)

32.8%Spray accuracy

79.4%Counter-strafing

10.1°Preaim

672msReaction time

23.4%T opening success

52.3%CT opening success

0.89Enemies flashed / flash

7.5%Flash assists

6.94HE damage / grenade

8.00Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.6265% — below the 15% mark we flag
Aim Training →
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 23.4104% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.00	17%	6 Sept →
dust2	13–8	-0.03	10%	15 Aug →
dust2	13–6	-0.07	13%	15 Aug →
dust2	9–13	-0.10	8%	14 Aug →
anubis	5–13	-0.07	11%	13 Aug →
dust2	13–8	0.00	25%	13 Aug →
dust2	5–13	-0.05	16%	10 Aug →
dust2	13–11	0.02	8%	4 Aug →
dust2	13–8	-0.01	17%	4 Aug →
dust2	9–13	-0.04	21%	30 Jul →
dust2	11–13	-0.01	14%	30 Jul →
dust2	13–9	-0.05	12%	28 Jul →
dust2	8–13	-0.07	13%	23 Jul →
dust2	13–11	-0.01	11%	13 Jul →
dust2	10–13	0.02	8%	21 Jun →
dust2	13–7	-0.01	12%	18 Jun →
dust2	10–13	-0.03	15%	17 Jun →
dust2	6–13	-0.08	18%	16 Jun →
dust2	7–13	-0.06	14%	15 Jun →
dust2	13–5	-0.04	6%	11 Jun →
dust2	13–9	0.02	13%	11 Jun →
dust2	4–13	0.01	20%	2 Jun →
dust2	4–13	-0.06	16%	1 Jun →
dust2	13–6	0.09	12%	29 May →
anubis	7–13	-0.01	12%	28 May →
dust2	13–9	0.04	19%	26 May →
dust2	5–2	0.05	8%	26 May →
dust2	12–12	-0.01	10%	26 May →
dust2	13–9	-0.06	11%	14 May →
dust2	12–12	-0.04	15%	14 May →
dust2	12–12	-0.06	13%	13 May →
dust2	13–3	-0.01	28%	12 May →
dust2	8–13	-0.04	20%	12 May →
dust2	13–8	0.02	16%	12 May →
dust2	5–13	-0.05	26%	11 May →
dust2	13–10	-0.00	11%	11 May →
dust2	9–13	-0.01	8%	6 May →
dust2	13–9	0.01	16%	6 May →
dust2	13–10	0.04	10%	4 May →
dust2	12–12	-0.01	11%	27 Apr →
inferno	10–13	0.02	9%	27 Apr →
dust2	6–13	-0.05	21%	25 Apr →
dust2	11–13	-0.00	19%	11 Apr →
dust2	12–12	0.00	14%	11 Apr →
dust2	4–13	-0.10	8%	10 Apr →
dust2	2–13	-0.07	16%	9 Apr →
dust2	13–11	0.01	14%	9 Apr →
dust2	8–13	-0.11	5%	7 Apr →
dust2	13–4	-0.04	28%	7 Apr →
dust2	2–13	-0.06	7%	7 Apr →
dust2	13–9	-0.02	16%	7 Apr →
dust2	8–13	-0.00	18%	7 Apr →
dust2	13–3	0.01	15%	7 Apr →
dust2	13–9	-0.02	7%	6 Apr →
dust2	13–7	-0.01	12%	6 Apr →
dust2	13–10	-0.05	6%	6 Apr →
dust2	6–13	-0.02	13%	5 Apr →
dust2	9–13	-0.09	17%	4 Apr →
dust2	13–8	0.08	15%	4 Apr →
ancient	16–14	0.02	22%	4 Apr →
dust2	11–13	-0.07	14%	1 Apr →
dust2	7–13	-0.04	19%	1 Apr →
dust2	12–12	0.02	15%	31 Mar →
dust2	12–12	-0.09	17%	31 Mar →
dust2	13–2	-0.00	12%	31 Mar →
dust2	13–7	0.01	8%	31 Mar →
dust2	12–12	-0.03	22%	30 Mar →
dust2	6–13	-0.00	11%	30 Mar →
dust2	13–7	-0.04	14%	30 Mar →
dust2	12–12	-0.04	23%	30 Mar →
dust2	12–12	-0.03	11%	30 Mar →
dust2	10–13	-0.03	13%	29 Mar →
dust2	9–13	0.00	8%	29 Mar →
dust2	10–13	-0.05	14%	28 Mar →
dust2	12–12	-0.03	12%	28 Mar →
dust2	13–7	0.03	10%	28 Mar →
dust2	13–5	-0.01	4%	26 Mar →
dust2	13–9	-0.02	18%	26 Mar →
dust2	13–8	0.01	16%	26 Mar →
dust2	13–5	0.02	6%	23 Mar →
dust2	13–6	-0.01	14%	23 Mar →
dust2	12–12	0.02	12%	17 Mar →
dust2	2–13	-0.06	25%	17 Mar →
dust2	12–12	-0.02	6%	17 Mar →
dust2	13–9	-0.03	10%	16 Mar →
dust2	10–3	-0.10	25%	16 Mar →
dust2	10–13	-0.03	11%	10 Mar →
dust2	4–13	-0.06	7%	1 Mar →
dust2	13–1	-0.01	24%	28 Feb →
dust2	4–13	-0.02	13%	27 Feb →
dust2	7–13	-0.02	9%	19 Feb →
dust2	13–6	0.03	12%	19 Feb →
dust2	12–12	0.04	20%	18 Feb →
dust2	13–11	0.02	12%	18 Feb →
dust2	13–11	0.03	19%	18 Feb →
dust2	13–2	0.04	18%	18 Feb →
inferno	4–9	-0.01	17%	18 Feb →
dust2	5–13	-0.05	16%	17 Feb →
dust2	13–2	0.03	26%	17 Feb →
dust2	13–7	0.05	12%	17 Feb →