Glücksvogerl — CS2 Stats

AT76561197984516982[U:1:24251254]Steam profile ↗✓ No bans

357Tracked matches53%Win rate2021Tracked since

CSDB Rating4.4 DevelopingHybrid Rifler

Premier CS Rating9,109Light Blue band · top ~59.2% of ranked players (population est.)

CSDB Leaderboard#23602 of 31912 tracked

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning58

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLLWLLWWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

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

Aim6.4

Aggression8.4

Utility1.8

Positioning5.8

Opening Duels3.8

Strong CT-side openerLimited 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 82% 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.

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim6.4

Positioning5.8

Utility1.8

Mechanics3.8

Opening Duels3.8

Win Impact6.1

Composite 4.4/10 (Developing), 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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time542ms−73ms

first ⅓ avg 615ms → last ⅓ avg 542ms

Headshot accuracy20.2%+1.3%

first ⅓ avg 18.9% → last ⅓ avg 20.2%

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

0.10Best rating — anubis 13–6

13–0Biggest win — dust2

5Longest win streak

6–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 52% over 23anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	-0.01
nuke	C	21	9–12	43%	-0.00
anubis	D	15	5–10	33%	-0.01
dust2	C	14	6–8	43%	-0.01
ancient	B	12	6–6	50%	-0.01
cache	D	9	3–6	33%	-0.03
overpass	—	4	2–2	50%	-0.04
poseidon	—	1	0–1	0%	0.04
mirage	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.0%Headshot accuracy

33.4%Accuracy (enemy spotted)

27.6%Spray accuracy

67.2%Counter-strafing

7.7°Preaim

559msReaction time

35.5%T opening success

54.7%CT opening success

0.30Enemies flashed / flash

0.0%Flash assists

7.20HE damage / grenade

0.84Flashes / 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 0.2974 — 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 35.5373% — below the 40% mark we flag

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.

33% win rate across 15 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
ancient	13–6	0.06	14%	28 Aug →
anubis	8–13	-0.01	6%	28 Aug →
anubis	9–13	0.00	16%	28 Aug →
inferno	13–8	-0.05	9%	25 Aug →
anubis	5–13	-0.05	10%	25 Aug →
nuke	10–13	0.04	39%	25 Aug →
anubis	13–11	0.00	28%	24 Aug →
nuke	13–5	-0.01	22%	24 Aug →
inferno	13–7	-0.05	15%	24 Aug →
dust2	13–0	0.05	38%	18 Aug →
ancient	13–0	0.00	25%	18 Aug →
ancient	14–16	-0.02	22%	18 Aug →
dust2	1–8	0.00	0%	17 Aug →
nuke	9–13	-0.04	16%	17 Aug →
ancient	13–10	-0.02	19%	17 Aug →
dust2	10–4	0.06	38%	17 Aug →
dust2	16–13	-0.01	35%	16 Aug →
nuke	16–12	0.05	24%	16 Aug →
cache	6–13	-0.03	30%	16 Aug →
anubis	12–16	0.03	26%	16 Aug →
dust2	3–13	-0.08	25%	15 Aug →
inferno	8–13	-0.01	5%	15 Aug →
dust2	13–5	0.03	12%	15 Aug →
cache	13–6	0.02	26%	15 Aug →
cache	13–5	-0.02	12%	15 Aug →
inferno	13–9	0.03	14%	12 Aug →
nuke	13–6	-0.02	21%	11 Aug →
anubis	10–13	-0.06	13%	11 Aug →
anubis	10–13	-0.05	21%	11 Aug →
cache	8–13	-0.04	30%	11 Aug →
ancient	10–13	-0.05	26%	10 Aug →
inferno	7–13	-0.08	31%	10 Aug →
ancient	5–13	-0.05	0%	10 Aug →
inferno	13–11	0.05	26%	10 Aug →
nuke	10–13	0.01	16%	10 Aug →
poseidon	5–9	0.04	29%	6 Aug →
inferno	7–9	-0.12	25%	6 Aug →
dust2	7–13	-0.04	37%	5 Aug →
nuke	6–13	-0.03	15%	5 Aug →
inferno	13–10	-0.00	28%	3 Aug →
ancient	15–15	-0.02	28%	28 Jul →
inferno	13–4	0.09	21%	28 Jul →
nuke	13–8	-0.01	17%	28 Jul →
inferno	13–10	-0.00	12%	26 Jul →
nuke	4–13	0.02	20%	26 Jul →
ancient	9–13	-0.02	21%	26 Jul →
nuke	13–6	0.03	16%	25 Jul →
cache	11–13	-0.08	14%	25 Jul →
cache	11–13	0.01	10%	23 Jul →
inferno	13–4	0.04	20%	23 Jul →
nuke	13–9	-0.00	17%	23 Jul →
nuke	4–13	-0.02	29%	23 Jul →
nuke	9–13	-0.05	23%	22 Jul →
ancient	13–5	0.05	19%	22 Jul →
cache	5–13	-0.09	11%	21 Jul →
nuke	7–13	0.00	32%	21 Jul →
inferno	11–13	0.01	16%	21 Jul →
anubis	16–12	-0.08	19%	21 Jul →
inferno	13–16	-0.04	32%	30 Jun →
anubis	11–13	0.01	23%	30 Jun →
anubis	4–13	-0.01	18%	24 Jun →
ancient	13–6	0.05	19%	24 Jun →
inferno	3–13	-0.03	10%	23 Jun →
inferno	13–10	0.05	16%	23 Jun →
dust2	13–16	0.05	19%	23 Jun →
inferno	10–13	-0.01	19%	23 Jun →
nuke	6–13	0.03	5%	23 Jun →
inferno	10–13	-0.08	17%	2 Jun →
nuke	13–9	0.01	23%	2 Jun →
cache	4–13	-0.04	9%	27 May →
dust2	9–13	-0.04	26%	27 May →
inferno	15–15	-0.02	18%	27 May →
overpass	0–13	-0.12	20%	20 May →
anubis	5–13	0.01	22%	20 May →
nuke	10–13	-0.03	8%	19 May →
ancient	1–13	-0.03	27%	15 May →
dust2	12–12	-0.05	24%	1 May →
cache	13–8	-0.00	18%	1 May →
overpass	11–13	0.01	23%	1 May →
nuke	8–13	-0.02	23%	27 Apr →
anubis	13–8	-0.04	30%	27 Apr →
inferno	16–14	-0.04	22%	26 Apr →
nuke	8–13	-0.03	10%	21 Apr →
mirage	9–13	-0.07	10%	21 Apr →
anubis	9–13	-0.06	19%	21 Apr →
dust2	13–3	-0.03	14%	21 Apr →
inferno	8–13	-0.06	20%	21 Apr →
overpass	13–8	-0.01	15%	21 Apr →
inferno	9–13	-0.01	12%	20 Apr →
nuke	16–14	-0.02	7%	20 Apr →
dust2	11–13	-0.01	15%	20 Apr →
nuke	13–6	0.04	10%	14 Apr →
anubis	13–10	-0.01	13%	14 Apr →
inferno	13–1	0.06	21%	14 Apr →
ancient	13–11	-0.06	11%	14 Apr →
dust2	1–13	-0.03	36%	12 Apr →
dust2	13–11	-0.09	36%	12 Apr →
overpass	13–8	-0.03	26%	28 Mar →
inferno	13–4	0.08	22%	27 Mar →
anubis	13–6	0.10	17%	27 Mar →