Lanzenknecht — CS2 Stats

DE76561198061379484[U:1:101113756]Steam profile ↗✓ No bans

483Tracked matches48%Win rate2020Tracked since

2,432Hours in CS14Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#16670 of 26538 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	Level 3 median	vs Level 3
Headshot rate	38.1%	42.1%	42.1%	4.0% short
Shot accuracy	18.4%	12.9%	12.1%	above
Kill/death ratio	0.97	1.00	0.99	0.02 short
Match win rate	40.7%	42.9%	43.9%	3.2% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim64

Positioning58

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateTLLWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression9.9

Utility2.1

Positioning5.8

Opening Duels5.3

Limited utility dependence

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 ropz 81% playstyle similarity

Most alike: positioning profile, 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 588ms 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

Aim6.4

Positioning5.8

Utility2.1

Mechanics5.2

Opening Duels5.3

Win Impact4.4

Composite 5.1/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time605ms−8ms

first ⅓ avg 613ms → last ⅓ avg 605ms

Headshot accuracy14.4%−6.0%

first ⅓ avg 20.4% → last ⅓ avg 14.4%

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.

Highlights

0.18Best rating — overpass 13–4

13–1Biggest win — inferno

6Longest win streak

10–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 61% over 18anubisWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	15–10	60%	0.01
ancient	B	23	11–12	48%	0.01
overpass	A	18	11–7	61%	0.03
nuke	A	12	7–5	58%	0.03
anubis	B	11	5–6	45%	0.01
cache	—	4	1–3	25%	-0.05
mirage	—	4	2–2	50%	0.03
dust2	—	2	0–2	0%	-0.04
sanctum	—	1	0–1	0%	-0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,255Lifetime kills

0.97K/D

4,020Matches

40.7%Match win rate

38.1%Headshot %

18.4%Shot accuracy · Top 10% of Level 2 players

8,536MVPs

1,497Hours (in match)

2,718Bombs planted

805Bombs defused

Most-used weapons

AK-4711,725

M4A4 / M4A1-S10,324

AWP8,518

AUG5,144

SG 5534,028

MP74,017

P2000 / USP-S3,178

FAMAS3,175

Desert Eagle3,014

Glock-182,909

Lifetime map wins

10,367inferno

1,847nuke

1,844dust2

830vertigo

783cbble

726train

433lake

172office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.9%Headshot accuracy

38.2%Accuracy (enemy spotted)

40.3%Spray accuracy

73.2%Counter-strafing

10.7°Preaim

588msReaction time

47.3%T opening success

54.8%CT opening success

0.33Enemies flashed / flash

0.6%Flash assists

11.32HE damage / grenade

0.78Flashes / 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 13.9386% — 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 0.3317 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	12–12	-0.01	14%	27 Aug →
anubis	10–13	0.03	6%	26 Aug →
inferno	8–13	-0.03	18%	26 Aug →
inferno	16–12	0.04	14%	25 Aug →
inferno	13–5	0.03	17%	24 Aug →
anubis	13–2	0.09	13%	24 Aug →
anubis	13–4	0.10	14%	23 Aug →
inferno	13–8	0.04	11%	22 Aug →
overpass	13–4	0.18	14%	21 Aug →
nuke	10–13	-0.01	10%	21 Aug →
ancient	9–13	0.08	18%	15 Aug →
inferno	13–11	0.01	18%	15 Aug →
inferno	4–13	-0.06	9%	14 Aug →
inferno	13–11	0.02	13%	14 Aug →
nuke	13–8	0.07	8%	14 Aug →
inferno	6–13	-0.01	11%	7 Aug →
anubis	11–13	-0.03	10%	7 Aug →
nuke	13–16	0.01	17%	7 Aug →
ancient	11–13	-0.02	7%	6 Aug →
anubis	11–13	-0.02	8%	6 Aug →
cache	2–13	-0.07	31%	4 Aug →
anubis	13–9	0.03	13%	4 Aug →
ancient	13–8	0.06	12%	4 Aug →
cache	6–13	-0.04	19%	1 Aug →
cache	16–14	-0.06	10%	1 Aug →
ancient	6–13	0.00	23%	1 Aug →
inferno	7–13	-0.05	31%	24 Jul →
ancient	0–13	-0.05	21%	24 Jul →
ancient	13–5	-0.02	9%	22 Jul →
ancient	13–7	-0.02	12%	10 Jul →
overpass	13–7	0.04	7%	8 Jul →
inferno	13–9	-0.01	17%	8 Jul →
overpass	9–1	0.17	21%	8 Jul →
dust2	9–13	-0.01	16%	4 Jul →
mirage	13–4	-0.02	15%	4 Jul →
inferno	13–8	0.02	23%	28 Jun →
overpass	13–5	0.01	15%	28 Jun →
anubis	9–13	-0.03	20%	27 Jun →
nuke	10–13	-0.03	20%	27 Jun →
ancient	13–9	0.02	15%	21 Jun →
ancient	13–5	0.03	18%	14 Jun →
inferno	13–9	0.03	21%	14 Jun →
inferno	9–7	-0.15	22%	14 Jun →
overpass	13–10	0.04	19%	24 May →
inferno	13–5	0.10	22%	24 May →
cache	4–13	-0.03	10%	5 May →
ancient	7–13	0.01	12%	12 Apr →
overpass	4–13	0.02	23%	4 Apr →
dust2	5–13	-0.07	19%	31 Mar →
ancient	6–13	-0.07	27%	31 Mar →
overpass	9–13	-0.05	21%	30 Mar →
overpass	13–6	0.07	31%	30 Mar →
mirage	13–6	0.03	8%	30 Mar →
inferno	13–1	-0.04	11%	26 Mar →
inferno	13–10	0.03	26%	26 Mar →
anubis	13–5	0.03	17%	25 Mar →
ancient	13–11	0.01	13%	24 Mar →
nuke	11–13	-0.04	16%	24 Mar →
inferno	9–13	0.12	22%	18 Mar →
overpass	13–11	0.00	14%	17 Mar →
inferno	13–5	0.05	17%	17 Mar →
nuke	13–6	0.10	20%	17 Mar →
overpass	11–13	-0.06	16%	14 Mar →
anubis	16–14	0.05	22%	14 Mar →
ancient	2–13	-0.06	14%	12 Mar →
nuke	13–7	0.01	22%	11 Mar →
nuke	13–9	-0.03	13%	11 Mar →
ancient	15–15	0.03	16%	11 Mar →
anubis	10–13	-0.03	13%	9 Mar →
nuke	15–15	0.03	11%	9 Mar →
inferno	8–13	0.01	32%	9 Mar →
inferno	16–14	0.03	18%	5 Mar →
sanctum	6–9	-0.13	18%	5 Mar →
inferno	13–9	0.04	17%	4 Mar →
ancient	1–13	0.01	26%	4 Mar →
inferno	7–13	0.01	13%	4 Mar →
overpass	13–11	-0.00	28%	3 Mar →
nuke	13–6	0.03	12%	2 Mar →
overpass	13–5	0.07	20%	2 Mar →
overpass	5–13	-0.09	11%	2 Mar →
mirage	7–13	0.08	32%	2 Mar →
inferno	10–13	0.02	26%	2 Mar →
nuke	13–3	0.17	16%	2 Mar →
anubis	2–8	-0.14	50%	2 Mar →
ancient	5–13	0.00	15%	26 Feb →
nuke	13–7	0.04	16%	26 Feb →
ancient	9–2	0.02	14%	24 Feb →
mirage	13–16	0.05	15%	24 Feb →
overpass	13–11	-0.03	41%	23 Feb →
ancient	13–5	0.01	19%	23 Feb →
overpass	8–0	0.08	29%	23 Feb →
ancient	16–12	0.04	29%	21 Feb →
inferno	9–13	-0.00	18%	16 Feb →
ancient	10–13	0.03	13%	16 Feb →
overpass	5–13	0.02	19%	16 Feb →
ancient	13–4	0.02	16%	15 Feb →
ancient	13–5	0.04	16%	14 Feb →
overpass	5–13	-0.01	24%	13 Feb →
inferno	8–13	-0.03	16%	13 Feb →
ancient	10–13	0.06	13%	11 Feb →