Kuschelbär

Kuschelbär — CS2 Stats

76561198299843818[U:1:339578090]Steam profile ↗✓ No bans

2,357Tracked matches56%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating17,927Purple band · top ~16.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (40 days ago). 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: 17,927 -33 8 Sept – 24 Sept · 6 days played
17,58618,018peak 18,0188 Sept24 Sept
18,331Peak Premier in tracked matches
33Days played since 2026-09-08

Premier CS Rating

  • 91 below peak (18,018)
  • Next: Pink band at 20,000 — 2,073 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

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

Share this profile

CSDB.GGKuschelbärPREMIER17,927 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning66
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY46–39–15Last 10046%Win rateLLWWWWLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −5.2pp headshot accuracy · −30ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 519ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 509ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 524ms

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 (+1.6 against its own average).

Aim6.9
Utility2.9
Positioning6.6
Opening Duels5.4

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 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 69% on T to 54% on CT — first contacts on the defending side are being lost.

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

Aim6.9
Positioning6.6
Utility2.9
Mechanics4.5
Opening Duels7.9
Win Impact6.9

Composite 6.0/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time508ms−14ms
first ⅓ avg 522ms → last ⅓ avg 508ms
Headshot accuracy17.9%+3.3%
first ⅓ avg 14.6% → last ⅓ avg 17.9%

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

0.09Best match rating · 13–11 · inferno, 28 Oct →
36%Best headshot accuracy · 6–13 · dust2, 11 Oct →
344msFastest reaction time · 13–9 · dust2, 29 Sept →
13–1Biggest win · inferno, 19 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 67% over 6cacheWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B3014–1647%-0.01
infernoB1910–953%-0.01
cacheD185–1328%-0.02
mirageS64–267%-0.00
overpassB63–350%0.02
ancient—42–250%-0.04
office—31–233%0.01
vertigo—32–167%-0.01
anubis—30–30%0.01
nuke—32–167%0.01
fachwerk—22–0100%-0.05
train—21–150%-0.01
boulder—10–10%-0.01

Across the last 100 tracked matches.

Skill profile

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

18.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
33.2%Spray accuracy
70.1%Counter-strafing
8.6°Preaim
504msReaction time
69.5%T opening success
53.6%CT opening success
0.30Enemies flashed / flash
8.0%Flash assists
8.51HE damage / grenade
1.05Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3044 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust28–130.0417%30 Oct →
cache6–13-0.039%29 Oct →
mirage13–60.0012%29 Oct →
overpass13–70.0422%29 Oct →
dust213–2-0.0331%29 Oct →
inferno13–110.0917%28 Oct →
dust26–130.0418%28 Oct →
ancient5–130.0117%26 Oct →
mirage13–9-0.098%25 Oct →
inferno13–11-0.075%25 Oct →
dust25–130.0311%25 Oct →
office6–13-0.0225%25 Oct →
overpass9–13-0.0319%25 Oct →
ancient13–11-0.0813%24 Oct →
mirage13–7-0.0215%20 Oct →
cache12–12-0.0118%20 Oct →
mirage12–120.0328%19 Oct →
inferno13–10.0121%19 Oct →
cache7–13-0.0422%18 Oct →
dust213–70.0435%18 Oct →
inferno13–110.0725%16 Oct →
inferno12–12-0.0121%14 Oct →
cache9–13-0.0214%11 Oct →
dust26–13-0.0736%11 Oct →
inferno13–20.0623%11 Oct →
inferno7–13-0.0115%8 Oct →
mirage13–80.0820%8 Oct →
cache7–13-0.0216%7 Oct →
overpass13–90.0214%7 Oct →
dust213–6-0.0610%7 Oct →
overpass13–40.049%4 Oct →
fachwerk13–6-0.038%4 Oct →
overpass10–130.0117%4 Oct →
inferno7–13-0.0710%3 Oct →
dust213–7-0.0012%3 Oct →
inferno13–10-0.0331%3 Oct →
dust212–12-0.0121%3 Oct →
dust213–110.0813%3 Oct →
cache5–130.0328%3 Oct →
dust212–12-0.0115%2 Oct →
dust213–40.0516%2 Oct →
fachwerk13–6-0.0710%30 Sept →
dust20–6-0.1017%30 Sept →
dust213–90.0124%29 Sept →
office13–40.0419%29 Sept →
vertigo13–8-0.0310%29 Sept →
cache4–13-0.0721%28 Sept →
anubis10–13-0.0315%28 Sept →
inferno11–13-0.0128%24 Sept →
cache13–60.0327%24 Sept →
dust213–70.0720%24 Sept →
dust28–130.0316%23 Sept →
anubis12–120.0623%23 Sept →
overpass12–120.0117%23 Sept →
vertigo13–80.0423%23 Sept →
inferno2–13-0.0715%23 Sept →
inferno7–13-0.0226%22 Sept →
cache13–11-0.0418%22 Sept →
dust213–110.0215%22 Sept →
dust22–9-0.0217%20 Sept →
cache12–120.0016%17 Sept →
inferno13–80.0218%17 Sept →
dust213–11-0.0223%17 Sept →
dust29–13-0.0610%16 Sept →
cache11–13-0.0411%16 Sept →
mirage8–13-0.0327%16 Sept →
ancient12–12-0.0821%16 Sept →
inferno13–3-0.0510%15 Sept →
anubis13–16-0.0213%15 Sept →
dust211–13-0.0332%15 Sept →
cache15–15-0.0018%15 Sept →
inferno13–7-0.066%15 Sept →
inferno6–10.0322%15 Sept →
nuke12–120.0224%14 Sept →
ancient10–5-0.0319%14 Sept →
train13–7-0.034%14 Sept →
inferno12–120.0113%14 Sept →
dust213–9-0.0227%14 Sept →
cache10–13-0.0318%13 Sept →
inferno5–13-0.0113%13 Sept →
dust21–13-0.0913%13 Sept →
dust26–13-0.0414%13 Sept →
vertigo9–13-0.0412%13 Sept →
boulder12–12-0.0120%13 Sept →
cache13–2-0.0318%13 Sept →
nuke13–60.0612%13 Sept →
dust27–13-0.0515%12 Sept →
dust216–12-0.0211%12 Sept →
nuke13–6-0.067%12 Sept →
inferno6–130.0017%12 Sept →
dust212–120.0212%12 Sept →
cache13–6-0.013%12 Sept →
dust213–7-0.040%12 Sept →
dust213–60.0218%12 Sept →
cache13–16-0.0320%11 Sept →
office12–120.0119%10 Sept →
cache7–13-0.0618%10 Sept →
train5–130.0112%10 Sept →
dust24–13-0.074%10 Sept →
cache13–50.0015%9 Sept →

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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