bier b0t Pengjamin — CS2 Stats

76561197961498095[U:1:1232367]✓ No bans

469Tracked matches33%Win rate2020Tracked since

1,973Hours in CS21Hrs last 2 wks

CSDB Rating3.5 LearningClutch Specialist

Premier CS Rating8,350Light Blue band · top ~62.8% of ranked players (population est.)

CSDB Leaderboard#15241 of 20341 tracked

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning42

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLWWLLWWLLL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.5

Aggression5.5

Utility4.4

Positioning4.2

Opening Duels1.1

Clutch10.0

Reliable in 1v1s

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 NiKo 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.5

Positioning4.2

Utility4.4

Mechanics4.2

Opening Duels1.1

Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time602ms−49ms

first ⅓ avg 651ms → last ⅓ avg 602ms

Headshot accuracy14.6%+0.8%

first ⅓ avg 13.7% → last ⅓ avg 14.6%

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

0.13Best rating — overpass 6–13

13–1Biggest win — ancient

4Longest win streak

6–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 0% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	27	14–13	52%	-0.01
ancient	B	19	9–10	47%	0.00
nuke	C	14	6–8	43%	-0.02
dust2	D	11	0–11	0%	-0.01
anubis	B	11	5–6	45%	0.02
overpass	C	7	3–4	43%	0.01
mirage	S	6	4–2	67%	0.01
cache	D	5	1–4	20%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,584Lifetime kills

1.29K/D · Top 25% of tracked players

2,793Matches

38.3%Match win rate

43.9%Headshot %

15.2%Shot accuracy · Top 50% of tracked players

4,692MVPs

1,101Hours (in match)

2,822Bombs planted

903Bombs defused

Most-used weapons

AK-4721,108

M4A4 / M4A1-S10,800

P2000 / USP-S4,410

FAMAS3,465

Desert Eagle2,678

Glock-182,008

P2501,812

AWP1,611

Galil AR1,309

UMP-451,293

Lifetime map wins

6,067inferno

1,727dust2

1,299nuke

659cbble

647vertigo

524train

307dust

118italy

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

Faceit stats

Combat

34Matches

44%Win rate

0.84Avg K/D

69.2ADR

36%Headshot %

Clutches & streaks

71%1v1 clutch win

19%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	11	64%	0.85	11.6
Nuke	9	56%	0.97	16.7
Anubis	5	40%	0.96	12.2
Ancient	4	0%	0.74	13.8
Overpass	3	0%	0.24	3.3
Mirage	2	50%	1.00	13.0

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.

14.6%Headshot accuracy

33.5%Accuracy (enemy spotted)

35.8%Spray accuracy

68.8%Counter-strafing

9.2°Preaim

599msReaction time

38.1%T opening success

30.5%CT opening success

0.44Enemies flashed / flash

1.6%Flash assists

8.38HE damage / grenade

8.55Flashes / 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 14.5742% — below the 15% mark we flag
Aim Training →
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 0.4367 — 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 38.1289% — below the 40% mark we flag

Spend your practice time on Dust 2

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

0% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	8–13	-0.03	13%	25 Aug →
ancient	13–9	0.04	4%	25 Aug →
nuke	13–4	0.10	16%	24 Aug →
mirage	8–13	-0.02	15%	22 Aug →
nuke	10–13	-0.03	13%	22 Aug →
nuke	13–8	-0.02	13%	22 Aug →
inferno	13–6	0.04	21%	22 Aug →
nuke	6–13	-0.10	17%	22 Aug →
dust2	11–13	-0.07	19%	21 Aug →
dust2	5–13	-0.05	26%	21 Aug →
inferno	9–13	0.01	15%	21 Aug →
cache	9–13	-0.00	16%	21 Aug →
inferno	13–11	0.03	12%	20 Aug →
ancient	4–13	0.00	11%	20 Aug →
inferno	9–13	-0.05	14%	20 Aug →
inferno	9–13	-0.03	22%	20 Aug →
nuke	7–13	-0.02	12%	20 Aug →
dust2	10–13	0.08	14%	16 Aug →
inferno	6–13	-0.05	14%	16 Aug →
nuke	13–3	0.03	7%	16 Aug →
inferno	13–3	0.03	28%	15 Aug →
anubis	8–13	-0.02	20%	15 Aug →
inferno	12–16	-0.02	15%	27 Jul →
dust2	7–13	0.01	18%	27 Jul →
ancient	2–13	-0.03	11%	22 Jul →
dust2	3–13	0.01	6%	22 Jul →
cache	8–13	0.01	12%	21 Jul →
ancient	13–6	0.12	17%	21 Jul →
anubis	13–10	0.04	12%	21 Jul →
ancient	13–7	0.01	7%	21 Jul →
inferno	4–13	0.01	19%	20 Jul →
dust2	9–13	-0.03	13%	19 Jul →
inferno	8–13	0.05	10%	19 Jul →
overpass	4–9	-0.07	16%	18 Jul →
nuke	5–9	-0.23	38%	18 Jul →
ancient	7–13	0.03	23%	18 Jul →
nuke	15–15	-0.09	13%	16 Jul →
inferno	9–5	0.11	24%	16 Jul →
nuke	13–11	-0.01	5%	16 Jul →
dust2	6–13	0.01	15%	15 Jul →
anubis	13–4	0.11	25%	10 Jul →
inferno	13–3	0.06	13%	10 Jul →
inferno	9–13	-0.01	15%	10 Jul →
anubis	9–13	-0.02	8%	10 Jul →
ancient	13–3	-0.02	12%	9 Jul →
dust2	4–13	-0.03	22%	9 Jul →
inferno	13–11	-0.06	13%	7 Jul →
anubis	2–13	-0.04	20%	7 Jul →
nuke	7–13	0.00	15%	7 Jul →
ancient	13–3	0.08	25%	3 Jul →
ancient	13–11	-0.00	13%	3 Jul →
nuke	13–3	0.03	8%	3 Jul →
overpass	6–13	0.13	15%	18 Jun →
anubis	13–3	0.08	19%	12 Jun →
inferno	13–8	0.00	17%	12 Jun →
ancient	13–1	0.02	2%	12 Jun →
overpass	13–2	-0.03	3%	10 Jun →
overpass	8–13	0.01	8%	9 Jun →
inferno	13–10	0.08	15%	9 Jun →
nuke	11–13	0.03	13%	9 Jun →
ancient	10–13	-0.00	14%	9 Jun →
ancient	16–14	0.02	11%	14 May →
dust2	10–13	0.01	18%	13 May →
ancient	5–13	-0.02	16%	13 May →
anubis	13–9	0.09	9%	13 May →
cache	12–12	-0.02	10%	13 May →
inferno	13–4	-0.02	35%	10 May →
nuke	13–16	-0.01	17%	10 May →
anubis	15–15	-0.06	14%	8 May →
mirage	13–6	-0.01	12%	8 May →
dust2	10–13	-0.04	9%	8 May →
cache	13–2	0.10	18%	7 May →
cache	5–13	-0.05	17%	7 May →
ancient	10–13	-0.00	13%	7 May →
anubis	13–9	0.05	8%	7 May →
inferno	10–13	0.02	11%	23 Apr →
inferno	16–13	0.06	20%	14 Apr →
inferno	13–6	0.03	17%	14 Apr →
inferno	13–7	0.02	15%	14 Apr →
inferno	13–7	-0.01	15%	6 Apr →
inferno	4–9	-0.15	17%	3 Apr →
inferno	2–9	-0.24	8%	3 Apr →
inferno	8–8	-0.05	22%	3 Apr →
overpass	8–8	-0.05	22%	3 Apr →
mirage	10–13	-0.03	9%	3 Apr →
dust2	9–13	0.02	19%	31 Mar →
ancient	5–13	-0.03	20%	31 Mar →
nuke	13–9	0.06	9%	26 Mar →
ancient	6–13	-0.07	5%	26 Mar →
ancient	13–7	-0.02	14%	22 Mar →
mirage	13–10	-0.00	9%	20 Mar →
overpass	13–7	0.03	15%	20 Mar →
ancient	9–13	-0.02	16%	20 Mar →
anubis	9–13	-0.03	13%	18 Mar →
inferno	6–13	0.02	8%	14 Mar →
inferno	13–11	-0.03	9%	14 Mar →
anubis	8–13	-0.02	8%	14 Mar →
overpass	13–6	0.04	13%	12 Mar →
mirage	13–1	0.06	11%	12 Mar →
mirage	13–8	0.04	19%	10 Mar →