BILLY_BEEN_OG — CS2 Stats

76561198351224898[U:1:390959170]

1,416Tracked matches64%Win rate2020Tracked since

2,827Hours in CS58Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating24,895Top 50% of 819 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#1927 of 10842 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	46.7%	48.1%
Shot accuracy	12.2%	12.9%
Kill/death ratio	1.21	1.08
Match win rate	52.3%	46.5%

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Performance scores

Aim92

Positioning58

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateWTLWLTWWWW

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating

Player DNA

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

Aim9.2

Aggression7.7

Utility6.1

Positioning5.8

Opening Duels3.1

Clutch3.4

Sharp aimerStrong CT-side opener

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 96% playstyle similarity

Most alike: utility contribution, 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 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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 51% on CT to 34% 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

Aim9.2

Positioning5.8

Utility6.1

Mechanics8.2

Opening Duels3.1

Win Impact9.8

Composite 7.5/10 (Strong), 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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time510ms−25ms

first ⅓ avg 535ms → last ⅓ avg 510ms

Headshot accuracy15.9%−0.4%

first ⅓ avg 16.3% → last ⅓ avg 15.9%

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

0.18Best rating — dust2 13–5

13–0Biggest win — dust2

10Longest win streak

6–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 83% over 6infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	20–18	53%	0.02
cache	S	16	11–5	69%	0.04
mirage	A	16	9–7	56%	0.02
inferno	C	14	5–9	36%	0.03
anubis	A	7	4–3	57%	0.00
nuke	S	6	5–1	83%	0.02
ancient	—	3	1–2	33%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,433Lifetime kills

1.21K/D · Top 50% of Pink band

2,065Matches

52.3%Match win rate · Top 25% of Pink band

46.7%Headshot %

12.2%Shot accuracy

6,017MVPs

1,587Hours (in match)

3,109Bombs planted

1,355Bombs defused

Most-used weapons

AK-4731,828

M4A4 / M4A1-S11,239

AWP8,250

P2000 / USP-S4,339

Desert Eagle3,908

Glock-182,208

XM10141,555

Knife1,456

SG 5531,416

P901,358

Lifetime map wins

6,198inferno

5,385dust2

2,416train

1,488nuke

866vertigo

748cbble

27office

8dust

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

Faceit stats

Combat

589Matches

55%Win rate

1.00Avg K/D

74.3ADR

39%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	121	54%	0.94	14.5
Ancient	100	49%	0.90	13.7
Inferno	83	66%	1.00	15.2
Anubis	70	57%	0.90	13.8
Dust2	54	44%	0.86	13.1
Train	14	50%	1.05	15.1
Nuke	11	36%	0.81	12.4
Vertigo	8	62%	1.02	18.4

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.

15.7%Headshot accuracy

42.8%Accuracy (enemy spotted)

43.3%Spray accuracy

86.9%Counter-strafing

8.1°Preaim

492msReaction time

33.5%T opening success

51.3%CT opening success

0.60Enemies flashed / flash

6.1%Flash assists

10.69HE damage / grenade

9.87Flashes / 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 33.5116% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

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