Heisenbrgr♿ — CS2 Stats

76561197961611066[U:1:1345338]Steam profile ↗

1,078Tracked matches53%Win rate2020Tracked since

4,562Hours in CS5Hrs last 2 wks

CSDB Rating4.5 Developing

FaceitLevel 8 · 1,593 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median	Level 9 median	vs Level 9
Headshot rate	43.9%	47.0%	48.5%	4.7% short
Shot accuracy	13.6%	12.7%	13.3%	above
Kill/death ratio	1.06	1.07	1.07	meets
Match win rate	45.4%	46.4%	47.0%	1.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim44

Positioning48

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWLLWWLLLWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.4

Aggression5.5

Utility4.2

Positioning4.8

Opening Duels2.0

Clutch3.6

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 81% playstyle similarity

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

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

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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

Positioning4.8

Utility4.2

Mechanics6.3

Opening Duels2.2

Win Impact6.1

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time628ms−34ms

first ⅓ avg 662ms → last ⅓ avg 628ms

Headshot accuracy13.2%+0.8%

first ⅓ avg 12.4% → last ⅓ avg 13.2%

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.

Highlights

0.15Best rating — edin 13–5

13–2Biggest win — nuke

7Longest win streak

7–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 71% over 14edinWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	21	8–13	38%	-0.00
train	B	18	9–9	50%	0.03
ancient	S	14	10–4	71%	-0.00
anubis	S	12	8–4	67%	0.01
inferno	C	10	4–6	40%	-0.01
mirage	C	9	4–5	44%	-0.00
edin	D	6	1–5	17%	0.01
cache	—	2	1–1	50%	0.02
overpass	—	2	2–0	100%	-0.02
jura	—	2	0–2	0%	-0.02
basalt	—	2	1–1	50%	-0.03
mills	—	1	0–1	0%	-0.06
thera	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Lifetime stats

63,473Lifetime kills

1.06K/D

3,264Matches

45.4%Match win rate

43.9%Headshot %

13.6%Shot accuracy · Top 50% of Level 8 players

8,908MVPs

1,924Hours (in match)

2,834Bombs planted

837Bombs defused

Most-used weapons

AK-4721,982

M4A4 / M4A1-S12,887

P2000 / USP-S4,751

AWP4,549

Desert Eagle4,209

FAMAS2,208

Tec-91,886

Glock-181,869

MP91,828

P901,723

Lifetime map wins

12,903nuke

4,037dust2

3,641inferno

2,343vertigo

1,326train

426cbble

96lake

61sugarcane

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

Faceit stats

Combat

800Matches

51%Win rate

1.13Avg K/D

77.3ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

14%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	64	55%	1.07	16.7
Ancient	64	53%	1.08	15.7
Anubis	55	45%	1.00	15.1
Mirage	51	41%	1.04	16.3
Inferno	41	41%	0.95	14.3
Vertigo	19	63%	1.03	14.7
Overpass	18	50%	0.95	14.5
Train	10	60%	0.70	13.4

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.

13.1%Headshot accuracy

31.8%Accuracy (enemy spotted)

32.5%Spray accuracy

78.6%Counter-strafing

12.0°Preaim

628msReaction time

28.5%T opening success

47.3%CT opening success

0.70Enemies flashed / flash

9.3%Flash assists

9.49HE damage / grenade

8.70Flashes / 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 13.1238% — 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 28.5497% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.04	8%	25 Aug →
nuke	9–13	-0.01	15%	22 Aug →
cache	9–13	0.01	30%	11 Aug →
ancient	13–10	-0.07	3%	11 Aug →
cache	13–8	0.02	14%	30 Jul →
ancient	6–13	-0.02	11%	20 Feb →
mirage	12–16	-0.06	8%	24 Jan →
ancient	7–13	-0.05	16%	23 Jan →
overpass	13–6	-0.01	17%	23 Oct →
nuke	13–7	-0.04	11%	13 Oct →
mirage	3–13	-0.04	18%	13 Oct →
nuke	13–9	0.01	6%	12 Sept →
inferno	13–5	0.04	19%	12 Sept →
overpass	13–5	-0.02	7%	12 Sept →
nuke	13–4	-0.00	7%	6 Aug →
train	3–13	-0.02	13%	2 Aug →
nuke	3–13	-0.02	14%	2 Aug →
jura	7–13	-0.01	17%	2 Aug →
ancient	13–8	0.03	12%	21 Jul →
jura	6–13	-0.02	17%	21 Jul →
anubis	13–8	0.03	15%	28 May →
nuke	13–8	-0.00	18%	28 May →
mirage	13–5	0.03	16%	11 May →
anubis	13–4	-0.02	7%	11 May →
nuke	3–13	-0.08	6%	11 May →
ancient	13–9	-0.04	20%	20 Apr →
inferno	11–13	0.02	23%	20 Apr →
nuke	9–13	0.00	13%	2 Apr →
inferno	14–16	-0.05	7%	2 Apr →
anubis	13–11	0.02	10%	24 Mar →
inferno	7–13	-0.04	13%	24 Mar →
ancient	10–13	0.01	16%	24 Mar →
mirage	12–16	0.04	9%	22 Mar →
anubis	9–13	-0.04	5%	22 Mar →
inferno	3–13	-0.05	11%	22 Mar →
ancient	13–7	0.00	6%	22 Mar →
train	7–13	-0.08	16%	21 Mar →
inferno	7–13	-0.06	11%	21 Mar →
train	8–13	-0.02	20%	6 Mar →
nuke	13–9	-0.02	14%	6 Mar →
nuke	11–13	-0.03	13%	2 Mar →
inferno	13–9	0.01	13%	2 Mar →
ancient	13–8	-0.03	10%	2 Mar →
nuke	17–19	0.04	17%	27 Feb →
anubis	13–4	-0.03	17%	27 Feb →
ancient	13–3	0.02	6%	27 Feb →
anubis	19–16	0.05	12%	25 Feb →
anubis	16–13	0.04	10%	21 Feb →
train	8–13	0.00	14%	21 Feb →
train	13–11	-0.02	7%	21 Feb →
ancient	13–11	0.01	11%	18 Feb →
inferno	13–7	0.02	9%	18 Feb →
inferno	16–13	0.04	11%	13 Feb →
nuke	13–6	-0.00	21%	13 Feb →
nuke	13–2	0.03	14%	8 Feb →
ancient	13–2	0.04	8%	8 Feb →
nuke	8–13	-0.02	8%	3 Feb →
nuke	8–13	-0.02	12%	30 Jan →
ancient	16–13	-0.00	13%	30 Jan →
inferno	9–13	-0.02	8%	30 Jan →
mirage	7–13	0.00	18%	26 Jan →
nuke	13–10	0.08	16%	19 Jan →
mirage	13–11	-0.00	7%	9 Jan →
anubis	13–4	0.00	17%	8 Jan →
nuke	10–13	0.00	13%	6 Jan →
train	13–4	0.09	9%	30 Dec →
edin	12–12	-0.02	12%	27 Dec →
edin	7–13	-0.03	8%	13 Dec →
train	12–12	0.01	9%	10 Dec →
train	13–4	0.02	7%	7 Dec →
train	4–13	-0.01	14%	7 Dec →
nuke	11–13	-0.06	14%	6 Dec →
train	13–5	0.06	14%	6 Dec →
edin	8–13	-0.03	11%	27 Nov →
train	13–6	0.13	11%	27 Nov →
ancient	13–9	0.10	22%	25 Nov →
basalt	11–13	-0.06	11%	21 Nov →
train	13–6	-0.01	10%	21 Nov →
train	7–13	-0.01	15%	18 Nov →
basalt	13–11	-0.00	14%	17 Nov →
edin	7–13	0.01	24%	17 Nov →
train	6–3	0.11	17%	17 Nov →
edin	12–12	-0.05	11%	16 Nov →
train	13–5	0.14	9%	16 Nov →
train	12–12	-0.01	10%	16 Nov →
train	13–10	0.11	13%	16 Nov →
edin	13–5	0.15	14%	16 Nov →
train	3–13	-0.02	0%	16 Nov →
mills	3–13	-0.06	22%	9 Nov →
nuke	7–13	0.06	12%	9 Nov →
thera	8–13	-0.02	10%	4 Nov →
ancient	7–13	-0.06	13%	4 Nov →
mirage	4–13	-0.01	16%	30 Oct →
anubis	9–13	0.03	17%	30 Oct →
mirage	19–16	0.06	6%	21 Oct →
anubis	13–11	0.06	8%	21 Oct →
nuke	7–13	-0.02	13%	14 Oct →
anubis	8–13	-0.03	2%	14 Oct →
anubis	6–13	-0.00	14%	11 Oct →
nuke	6–13	0.02	19%	11 Oct →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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