Beef4Free 🌔 — CS2 Stats

DE76561198124216170[U:1:163950442]Steam profile ↗✓ No bans

1,209Tracked matches71%Win rate2020Tracked since

CSDB Rating6.0 SolidSupport

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim69

Positioning52

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY61–34–5Last 10061%Win rateLWWWLWWWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.2pp headshot accuracy · +6ms 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

3–2 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 13%
Avg reaction 616ms

Last 10

7–3 · 70% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 560ms

Last 20

15–5 · 75% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 557ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim6.9

Utility5.8

Positioning5.2

Opening Duels2.9

Clutch0.0

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 NiKo 88% 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 →

CSDB Rating breakdown

Aim6.9

Positioning5.2

Utility5.8

Mechanics5.0

Opening Duels2.9

Win Impact10.0

Composite 6.0/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time534ms−48ms

first ⅓ avg 582ms → last ⅓ avg 534ms

Headshot accuracy16.4%−0.3%

first ⅓ avg 16.7% → last ⅓ avg 16.4%

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

0.08Best match rating · 13–4 · inferno, 29 Jul →

41%Best headshot accuracy · 1–13 · inferno, 29 Jul →

406msFastest reaction time · 13–7 · inferno, 16 Sept →

13–0Biggest win · ancient, 19 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

4–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 74% over 19ancientWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	15–12	56%	-0.01
cache	S	23	15–8	65%	0.00
mirage	A	19	11–8	58%	-0.00
anubis	S	19	14–5	74%	-0.01
ancient	B	6	3–3	50%	-0.02
vertigo	—	2	1–1	50%	-0.02
shelter	—	2	1–1	50%	0.02
train	—	1	1–0	100%	-0.04
nuke	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

47%Win rate

0.93Avg K/D

74.8ADR

37%Headshot %

Clutches & streaks

17%1v1 clutch win

33%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	0%	0.76	12.8
Inferno	4	100%	1.16	17.5
Vertigo	3	33%	1.04	15.7
Anubis	2	0%	0.64	10.0
Ancient	1	100%	0.69	11.0
Nuke	1	100%	1.15	15.0

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.

16.1%Headshot accuracy

34.4%Accuracy (enemy spotted)

38.8%Spray accuracy

72.7%Counter-strafing

9.3°Preaim

537msReaction time

36.9%T opening success

46.2%CT opening success

0.46Enemies flashed / flash

8.6%Flash assists

7.37HE damage / grenade

9.56Flashes / 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 0.4607 — 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 36.8512% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.03	13%	17 Sept →
mirage	13–5	0.02	11%	16 Sept →
anubis	13–3	0.05	11%	16 Sept →
inferno	13–7	-0.02	5%	16 Sept →
vertigo	4–13	-0.01	24%	15 Sept →
shelter	13–4	0.04	17%	15 Sept →
inferno	13–10	0.01	19%	15 Sept →
inferno	13–6	-0.06	9%	15 Sept →
cache	13–10	0.07	21%	15 Sept →
inferno	10–13	-0.09	15%	14 Sept →
mirage	13–6	0.00	16%	14 Sept →
inferno	13–4	-0.02	22%	13 Sept →
cache	8–13	0.03	18%	13 Sept →
vertigo	13–6	-0.03	20%	10 Sept →
cache	13–4	-0.01	23%	10 Sept →
ancient	8–0	-0.06	8%	10 Sept →
inferno	13–9	0.07	18%	10 Sept →
mirage	13–7	0.06	23%	10 Sept →
cache	13–6	-0.01	18%	8 Sept →
anubis	10–13	-0.03	19%	6 Sept →
cache	13–4	0.01	17%	6 Sept →
inferno	8–5	-0.01	19%	6 Sept →
train	13–5	-0.04	11%	6 Sept →
anubis	12–12	0.01	12%	4 Sept →
inferno	13–6	0.03	10%	2 Sept →
cache	2–13	-0.05	12%	2 Sept →
ancient	12–12	-0.01	14%	2 Sept →
cache	13–10	0.04	16%	2 Sept →
inferno	5–13	-0.08	19%	1 Sept →
cache	11–13	-0.01	18%	31 Aug →
mirage	13–9	-0.03	41%	22 Aug →
mirage	11–13	0.01	9%	21 Aug →
ancient	10–13	-0.07	13%	16 Aug →
anubis	3–13	-0.06	19%	16 Aug →
cache	7–13	0.01	13%	14 Aug →
inferno	8–13	0.03	16%	14 Aug →
inferno	2–13	-0.09	17%	13 Aug →
cache	13–10	0.04	20%	13 Aug →
mirage	3–13	-0.04	6%	13 Aug →
cache	4–13	-0.09	13%	12 Aug →
ancient	13–9	-0.04	20%	12 Aug →
ancient	12–16	0.05	10%	11 Aug →
anubis	13–1	-0.01	23%	11 Aug →
inferno	12–12	-0.07	10%	10 Aug →
cache	13–9	-0.01	16%	10 Aug →
anubis	13–10	-0.04	15%	10 Aug →
inferno	13–4	0.00	18%	10 Aug →
cache	13–10	-0.03	10%	9 Aug →
anubis	13–8	-0.05	7%	9 Aug →
mirage	6–13	-0.04	9%	5 Aug →
anubis	13–9	0.02	20%	5 Aug →
anubis	13–11	0.01	11%	4 Aug →
inferno	13–11	0.06	21%	1 Aug →
inferno	13–7	-0.03	12%	1 Aug →
mirage	13–7	0.03	18%	1 Aug →
inferno	11–13	-0.00	13%	1 Aug →
mirage	13–11	-0.02	8%	1 Aug →
anubis	13–1	0.02	9%	1 Aug →
cache	13–3	-0.00	15%	1 Aug →
mirage	6–13	-0.07	2%	1 Aug →
mirage	13–5	0.00	20%	31 Jul →
cache	13–9	-0.06	14%	31 Jul →
inferno	7–13	-0.01	16%	31 Jul →
cache	13–6	-0.03	13%	30 Jul →
anubis	7–13	-0.08	12%	30 Jul →
mirage	13–3	-0.01	9%	30 Jul →
inferno	13–4	0.08	10%	29 Jul →
anubis	13–3	0.03	13%	29 Jul →
cache	9–13	0.00	12%	29 Jul →
cache	13–5	0.05	22%	29 Jul →
inferno	1–13	-0.05	41%	29 Jul →
anubis	13–10	-0.00	9%	29 Jul →
inferno	12–12	0.03	22%	27 Jul →
anubis	13–2	-0.01	13%	27 Jul →
cache	8–2	0.01	24%	27 Jul →
mirage	5–13	-0.04	10%	27 Jul →
inferno	13–7	-0.03	14%	26 Jul →
anubis	13–7	-0.02	6%	26 Jul →
mirage	13–11	0.07	18%	26 Jul →
inferno	13–8	-0.01	18%	26 Jul →
cache	11–13	0.08	17%	26 Jul →
cache	13–2	0.02	35%	23 Jul →
anubis	13–9	-0.01	23%	23 Jul →
mirage	13–5	0.00	15%	23 Jul →
anubis	12–12	-0.06	12%	20 Jul →
cache	10–13	0.01	17%	20 Jul →
ancient	13–0	0.00	26%	19 Jul →
nuke	10–13	-0.05	16%	19 Jul →
anubis	13–7	0.00	13%	19 Jul →
inferno	10–13	0.02	10%	19 Jul →
inferno	11–13	-0.02	10%	18 Jul →
mirage	9–13	-0.02	16%	18 Jul →
inferno	13–2	0.01	0%	18 Jul →
mirage	13–5	0.05	15%	17 Jul →
inferno	13–8	-0.03	18%	16 Jul →
inferno	9–13	-0.08	24%	16 Jul →
cache	11–2	0.02	21%	16 Jul →
anubis	13–6	0.02	14%	15 Jul →
shelter	8–13	0.01	15%	15 Jul →
mirage	11–13	0.00	13%	15 Jul →