Glücksvogerl

Glücksvogerl — CS2 Stats

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

473Tracked matches47%Win rate2021Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating10,826Blue band · top ~50.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,826 +1,717 29 Aug – 30 Oct · 31 days played
7,28611,429peak 11,42929 Aug30 Oct
11,530Peak Premier in tracked matches
29Days played since 2026-08-29

Premier CS Rating

  • 603 below peak (11,429)
  • +944 over 30 days · improving
  • Next: Purple band at 15,000 — 4,174 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGGlücksvogerlPREMIER10,826 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning62
Utility47

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLLWLWLWLL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · +0.7pp headshot accuracy · +67ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 619ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 605ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim5.1
Utility4.7
Positioning6.2
Opening Duels4.5

Effective flashesLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 76% 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

Reaction time. 560ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.1
Positioning6.2
Utility4.7
Mechanics3.4
Opening Duels5.9
Win Impact3.9

Composite 4.7/10 (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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time570ms+29ms
first ⅓ avg 541ms → last ⅓ avg 570ms
Headshot accuracy17.8%−4.3%
first ⅓ avg 22.2% → last ⅓ avg 17.8%

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.

Personal bests

0.15Best match rating · 13–5 · nuke, 6 Oct →
45%Best headshot accuracy · 13–10 · nuke, 22 Sept →
383msFastest reaction time · 13–0 · nuke, 25 Oct →
13–0Biggest win · nuke, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 65% over 23ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2315–865%0.01
nukeA2213–959%0.01
anubisB147–750%-0.02
dust2B126–650%-0.02
cacheC114–736%-0.01
ancientD91–811%-0.01
mirageD71–614%-0.02
vertigo—10–10%-0.02
overpass—10–10%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient 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.

17.4%Headshot accuracy
31.4%Accuracy (enemy spotted)
28.1%Spray accuracy
65.4%Counter-strafing
8.9°Preaim
560msReaction time
54.8%T opening success
52.5%CT opening success
0.70Enemies flashed / flash
9.4%Flash assists
11.02HE damage / grenade
1.62Flashes / 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.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6244 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0320%30 Oct →
mirage9–13-0.0515%30 Oct →
mirage7–13-0.057%27 Oct →
nuke13–90.0718%27 Oct →
nuke11–130.0117%27 Oct →
anubis13–10-0.0318%27 Oct →
inferno11–130.0125%27 Oct →
inferno13–8-0.0216%25 Oct →
cache10–130.0426%25 Oct →
ancient8–130.0417%25 Oct →
nuke13–0-0.0324%25 Oct →
nuke13–30.0613%25 Oct →
nuke13–50.0318%25 Oct →
anubis2–13-0.0616%23 Oct →
inferno13–60.0413%23 Oct →
mirage8–13-0.037%23 Oct →
nuke9–50.0220%22 Oct →
dust213–50.0920%22 Oct →
inferno13–40.0623%22 Oct →
inferno13–8-0.0519%22 Oct →
nuke9–13-0.0812%22 Oct →
dust213–11-0.0324%20 Oct →
nuke13–30.0922%20 Oct →
inferno3–13-0.0221%20 Oct →
cache11–13-0.0715%18 Oct →
anubis16–12-0.0015%18 Oct →
cache6–13-0.0618%18 Oct →
ancient6–13-0.0424%18 Oct →
mirage5–13-0.0614%15 Oct →
anubis13–30.075%15 Oct →
cache10–13-0.0220%13 Oct →
nuke7–130.0018%13 Oct →
dust216–14-0.0230%12 Oct →
inferno13–100.0228%12 Oct →
cache15–15-0.0424%11 Oct →
dust26–130.0338%11 Oct →
inferno13–60.0333%10 Oct →
ancient9–13-0.1121%10 Oct →
dust213–1-0.058%6 Oct →
dust27–13-0.1117%6 Oct →
anubis8–130.0317%6 Oct →
nuke13–50.0139%6 Oct →
inferno13–8-0.0428%6 Oct →
dust26–13-0.0417%6 Oct →
dust27–13-0.0518%6 Oct →
nuke13–50.1520%6 Oct →
ancient5–130.0120%5 Oct →
nuke6–130.0323%5 Oct →
inferno13–90.0527%5 Oct →
anubis5–13-0.076%4 Oct →
nuke11–5-0.0813%4 Oct →
cache11–13-0.068%4 Oct →
nuke7–13-0.0411%4 Oct →
cache13–80.0324%4 Oct →
inferno13–40.0441%3 Oct →
ancient10–13-0.0020%3 Oct →
dust213–40.0729%1 Oct →
vertigo6–13-0.0214%1 Oct →
nuke11–130.1019%1 Oct →
dust213–60.0834%1 Oct →
anubis7–13-0.0421%1 Oct →
dust23–13-0.0422%29 Sept →
ancient15–15-0.0423%26 Sept →
cache13–100.0126%26 Sept →
nuke8–130.0222%26 Sept →
inferno8–130.0126%26 Sept →
anubis13–11-0.0224%25 Sept →
inferno13–9-0.0225%25 Sept →
inferno8–13-0.0218%23 Sept →
inferno13–5-0.0220%23 Sept →
mirage13–110.0123%23 Sept →
nuke13–40.0244%23 Sept →
dust27–13-0.1314%22 Sept →
ancient2–13-0.0619%22 Sept →
nuke13–10-0.0245%22 Sept →
cache11–130.0617%22 Sept →
anubis13–40.0622%22 Sept →
inferno16–140.0323%21 Sept →
nuke4–13-0.1114%21 Sept →
anubis0–13-0.0520%21 Sept →
cache13–100.0213%19 Sept →
inferno13–10.0326%19 Sept →
anubis13–10-0.076%19 Sept →
mirage11–13-0.0419%19 Sept →
overpass4–90.0726%19 Sept →
anubis13–11-0.0213%15 Sept →
inferno11–130.0136%15 Sept →
ancient6–13-0.0219%15 Sept →
inferno13–70.0333%15 Sept →
nuke13–60.0842%15 Sept →
cache13–9-0.0226%13 Sept →
anubis6–13-0.0332%13 Sept →
anubis7–13-0.0711%12 Sept →
nuke13–110.0227%12 Sept →
inferno13–80.0316%12 Sept →
ancient13–100.1314%12 Sept →
inferno9–130.0826%12 Sept →
inferno14–16-0.0211%11 Sept →
inferno7–130.0418%11 Sept →
nuke1–13-0.0714%8 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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