.#Gluecksbaerchi <3 Sunny

.#Gluecksbaerchi <3 Sunny — CS2 Stats

VG76561197976604721[U:1:16338993]Steam profile ↗✓ No bans

859Tracked matches63%Win rate2020Tracked since
2,827Hours in CS25Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating17,168Purple band · top ~19.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 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: 17,168 +3,551 4 Aug – 16 Oct · 37 days played
12,05817,316peak 17,3164 Aug16 Oct
17,554Peak Premier in tracked matches
44Days played since 2026-07-22

Premier CS Rating

  • 148 below peak (17,316)
  • +3,799 over 30 days · improving
  • Next: Pink band at 20,000 — 2,832 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-26
  • Blue band first seen 2026-09-04

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), 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.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate49.8%43.7%44.8%above
Shot accuracy15.5%12.0%12.4%above
Kill/death ratio1.111.021.03above
Match win rate46.3%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GG.#Gluecksbaerchi <3 SunnyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,168 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning61
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWLWWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.0pp headshot accuracy · −3ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 709ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 641ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 642ms

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 against its own average).

Aim8.2
Utility4.0
Positioning6.1
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.

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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. 626ms 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

Aim8.2
Positioning6.1
Utility4.0
Mechanics7.5
Opening Duels5.9
Win Impact9.4

Composite 6.9/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time635ms−53ms
first ⅓ avg 688ms → last ⅓ avg 635ms
Headshot accuracy27.0%−3.7%
first ⅓ avg 30.7% → last ⅓ avg 27.0%

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

0.20Best match rating · 13–3 · cache, 14 Aug →
54%Best headshot accuracy · 16–12 · cache, 30 Jul →
414msFastest reaction time · 13–5 · mirage, 11 Oct →
13–1Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 74% over 19ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
cacheS2014–670%0.05
nukeS1914–574%0.03
dust2C146–843%0.04
infernoA148–657%0.04
anubisB137–654%0.03
ancientD134–931%0.01
mirageA74–357%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,696Lifetime kills
1.11K/D · Top 50% of Level 5 players
3,612Matches
46.3%Match win rate · Top 50% of Level 5 players
49.8%Headshot % · Top 25% of Level 5 players
15.5%Shot accuracy · Top 50% of Level 5 players
9,527MVPs
1,602Hours (in match)
4,023Bombs planted
984Bombs defused

Most-used weapons

AK-4715,176
AWP10,570
P2503,049
P901,867
SG 5531,648

Lifetime map wins

9,188inferno
6,822dust2
4,827nuke
2,004cbble
1,389train
436office
260vertigo
248aztec

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

Faceit stats

Combat

127Matches
49%Win rate
0.92Avg K/D
—ADR
50%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.0014.0
Ancient10%0.478.0

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.

25.3%Headshot accuracy
32.5%Accuracy (enemy spotted)
36.4%Spray accuracy
83.7%Counter-strafing
6.6°Preaim
626msReaction time
54.4%T opening success
52.5%CT opening success
0.58Enemies flashed / flash
4.0%Flash assists
8.57HE damage / grenade
3.88Flashes / 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 3.8773 — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0535%16 Oct →
nuke13–60.1426%16 Oct →
mirage4–130.0126%13 Oct →
nuke13–30.1027%13 Oct →
cache13–5-0.0219%12 Oct →
nuke13–16-0.0419%12 Oct →
mirage13–8-0.0221%12 Oct →
mirage13–50.0228%11 Oct →
anubis13–16-0.0128%11 Oct →
anubis13–90.1021%10 Oct →
nuke13–5-0.0711%10 Oct →
dust210–130.0319%10 Oct →
anubis13–100.0828%10 Oct →
dust213–50.0734%10 Oct →
cache13–40.1342%10 Oct →
cache10–13-0.0137%9 Oct →
nuke13–90.1431%9 Oct →
cache4–00.0433%9 Oct →
dust28–130.0624%9 Oct →
inferno10–13-0.028%8 Oct →
dust210–130.0633%8 Oct →
nuke13–80.0524%8 Oct →
dust213–60.0743%7 Oct →
inferno13–11-0.0315%7 Oct →
cache13–70.0820%6 Oct →
nuke13–50.1026%5 Oct →
dust213–1-0.0141%5 Oct →
cache10–13-0.0515%4 Oct →
dust213–100.0123%4 Oct →
ancient11–13-0.0023%4 Oct →
nuke13–110.0332%3 Oct →
cache6–130.0344%3 Oct →
cache13–70.1236%3 Oct →
inferno9–130.0525%3 Oct →
anubis13–40.0822%3 Oct →
nuke13–50.0726%2 Oct →
anubis8–13-0.0330%2 Oct →
ancient6–13-0.0712%2 Oct →
mirage8–13-0.0324%2 Oct →
ancient14–16-0.0230%29 Sept →
mirage13–90.0330%27 Sept →
anubis13–160.0025%26 Sept →
cache13–90.1133%26 Sept →
inferno13–100.0653%26 Sept →
nuke13–40.0844%26 Sept →
ancient13–100.0120%25 Sept →
nuke16–140.0424%25 Sept →
anubis3–13-0.0017%24 Sept →
cache13–110.0432%24 Sept →
dust213–50.0933%20 Sept →
nuke13–11-0.0329%20 Sept →
cache13–7-0.0231%19 Sept →
nuke9–13-0.0126%18 Sept →
inferno13–9-0.0520%18 Sept →
inferno13–70.0627%17 Sept →
ancient13–60.0725%15 Sept →
nuke13–110.0423%15 Sept →
anubis13–40.0333%15 Sept →
cache16–120.1426%14 Sept →
dust25–13-0.0830%14 Sept →
dust211–130.0641%12 Sept →
nuke13–50.0834%12 Sept →
ancient11–130.0823%11 Sept →
cache7–13-0.0448%11 Sept →
ancient8–13-0.0824%10 Sept →
ancient13–100.0824%6 Sept →
inferno15–150.0427%14 Aug →
ancient13–70.0552%14 Aug →
cache13–30.2045%14 Aug →
inferno5–130.0244%8 Aug →
dust26–13-0.0031%8 Aug →
inferno4–130.0528%8 Aug →
ancient11–13-0.0123%7 Aug →
cache16–120.0425%7 Aug →
cache11–130.0448%6 Aug →
anubis13–30.1043%5 Aug →
nuke7–13-0.0329%5 Aug →
ancient2–13-0.0725%5 Aug →
inferno16–130.0428%4 Aug →
dust213–40.1728%4 Aug →
anubis13–50.0518%4 Aug →
anubis13–80.0535%3 Aug →
dust25–130.0621%3 Aug →
inferno6–130.0328%3 Aug →
nuke7–130.0229%3 Aug →
ancient10–130.0323%1 Aug →
ancient8–130.0323%31 Jul →
anubis14–160.0223%30 Jul →
cache16–120.0454%30 Jul →
anubis1–13-0.0642%30 Jul →
cache11–130.0228%29 Jul →
nuke13–11-0.0623%29 Jul →
cache13–4-0.0337%26 Jul →
inferno13–110.0433%26 Jul →
inferno13–70.1516%25 Jul →
cache13–20.0336%24 Jul →
mirage8–130.0922%24 Jul →
dust212–120.0135%24 Jul →
mirage13–40.0825%23 Jul →
inferno13–20.1115%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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