Crazy_Berlin

Crazy_Berlin — CS2 Stats

DE76561197970904231[U:1:10638503]Steam profile ↗✓ No bans

5,436Tracked matches47%Win rate2020Tracked since
17,407Hours in CS58Hrs last 2 wks
CSDB Rating5.2 DevelopingAll-Rounder
Premier CS Rating17,073Purple band · top ~20.1% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 17,073 +3,459 9 Oct – 2 Nov · 22 days played
12,66917,769peak 17,7699 Oct2 Nov
18,549Peak Premier in tracked matches
22Days played since 2026-10-09

Premier CS Rating

  • 696 below peak (17,769)
  • +3,459 over 30 days · improving
  • Next: Pink band at 20,000 — 2,927 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate35.4%44.4%46.9%11.5% short
Shot accuracy16.1%11.9%13.0%above
Kill/death ratio0.941.031.080.14 short
Match win rate43.0%45.2%46.7%3.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGCrazy_BerlinPREMIER17,073 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning56
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWLWLLLWWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −3.1pp headshot accuracy · +14ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 556ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.3
Utility5.8
Positioning5.6
Opening Duels4.4

Strong CT-side opener

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

device

Plays most like device 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim5.3
Positioning5.6
Utility5.8
Mechanics5.1
Opening Duels4.7
Win Impact3.9

Composite 5.2/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time547ms−28ms
first ⅓ avg 575ms → last ⅓ avg 547ms
Headshot accuracy14.0%−0.0%
first ⅓ avg 14.0% → last ⅓ avg 14.0%

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

0.12Best match rating · 14–16 · dust2, 11 Oct →
27%Best headshot accuracy · 13–2 · dust2, 31 Oct →
375msFastest reaction time · 4–13 · dust2, 17 Oct →
13–2Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 78% over 9mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%0.01
nukeS2114–767%-0.01
infernoS2115–671%0.01
anubisA95–456%0.01
cacheS97–278%-0.03
mirageD70–70%-0.04
ancientD51–420%-0.03
train—20–20%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

280,984Lifetime kills
0.94K/D
15,685Matches
43.0%Match win rate
35.4%Headshot %
16.1%Shot accuracy · Top 25% of Purple band
33,330MVPs
6,739Hours (in match)
14,154Bombs planted
3,387Bombs defused

Most-used weapons

AK-4777,521
P9030,558
Glock-1813,929
MP912,060
SG 55311,137
Galil AR11,111
AWP9,913
MAC-108,144

Lifetime map wins

124,028dust2
16,165inferno
6,076nuke
990vertigo
702train
258office
211cbble
146lake

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.

13.2%Headshot accuracy
35.3%Accuracy (enemy spotted)
33.6%Spray accuracy
72.9%Counter-strafing
12.5°Preaim
537msReaction time
42.0%T opening success
55.9%CT opening success
0.51Enemies flashed / flash
6.4%Flash assists
10.63HE damage / grenade
7.29Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5199° — above the 12° mark we flag

    Aim Training →
  2. 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 13.1974% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.088%2 Nov →
dust29–13-0.079%2 Nov →
inferno13–11-0.0412%2 Nov →
ancient10–13-0.045%2 Nov →
nuke2–130.0114%1 Nov →
dust28–130.0311%1 Nov →
dust213–60.009%1 Nov →
inferno13–10-0.0214%31 Oct →
dust213–20.0327%31 Oct →
inferno13–70.0114%31 Oct →
inferno13–70.0114%31 Oct →
inferno13–11-0.0017%31 Oct →
dust26–13-0.0611%31 Oct →
ancient7–130.0214%31 Oct →
dust210–130.029%31 Oct →
nuke8–130.0516%31 Oct →
nuke10–13-0.0719%30 Oct →
dust213–20.1017%30 Oct →
dust213–110.0217%30 Oct →
mirage3–13-0.1018%30 Oct →
nuke11–13-0.044%29 Oct →
nuke13–8-0.0213%29 Oct →
dust29–13-0.0617%29 Oct →
inferno9–13-0.0210%28 Oct →
nuke13–6-0.0515%28 Oct →
dust28–130.0022%27 Oct →
inferno13–60.0111%27 Oct →
anubis7–13-0.068%24 Oct →
inferno10–130.0317%24 Oct →
inferno13–7-0.017%24 Oct →
nuke13–50.0219%24 Oct →
nuke13–8-0.0516%24 Oct →
dust28–13-0.0025%24 Oct →
cache13–3-0.049%24 Oct →
dust213–8-0.0119%24 Oct →
dust213–9-0.0217%23 Oct →
inferno13–8-0.0110%23 Oct →
dust213–5-0.0318%23 Oct →
cache13–4-0.0820%23 Oct →
cache13–4-0.0417%22 Oct →
inferno13–9-0.0413%22 Oct →
dust213–90.0117%22 Oct →
nuke13–40.0113%22 Oct →
inferno13–40.0917%22 Oct →
mirage5–13-0.079%22 Oct →
nuke16–14-0.0316%21 Oct →
dust26–13-0.0415%21 Oct →
nuke13–70.0224%20 Oct →
inferno8–130.0117%20 Oct →
nuke13–7-0.0115%20 Oct →
mirage9–13-0.0121%20 Oct →
mirage6–13-0.0518%20 Oct →
cache13–30.0319%20 Oct →
nuke14–160.0212%19 Oct →
dust213–110.0619%19 Oct →
ancient10–13-0.0414%19 Oct →
nuke13–10-0.0214%19 Oct →
cache8–13-0.0517%19 Oct →
inferno15–15-0.039%18 Oct →
inferno4–13-0.0514%18 Oct →
cache13–7-0.0423%18 Oct →
mirage15–15-0.0110%18 Oct →
nuke13–40.059%18 Oct →
nuke1–13-0.0411%18 Oct →
inferno13–110.0411%18 Oct →
ancient13–9-0.078%18 Oct →
cache13–6-0.045%17 Oct →
anubis13–60.0123%17 Oct →
nuke13–6-0.0414%17 Oct →
dust24–130.0317%17 Oct →
nuke13–7-0.019%17 Oct →
dust26–13-0.0514%17 Oct →
dust215–150.0115%17 Oct →
anubis13–11-0.025%17 Oct →
nuke10–130.0310%16 Oct →
cache13–100.0213%16 Oct →
cache3–13-0.0313%16 Oct →
dust213–60.0315%16 Oct →
anubis13–11-0.056%15 Oct →
anubis13–110.0413%13 Oct →
nuke13–5-0.008%13 Oct →
anubis9–130.0222%12 Oct →
anubis13–70.059%11 Oct →
dust214–160.1219%11 Oct →
dust213–70.1119%11 Oct →
inferno15–150.0016%11 Oct →
inferno13–90.0625%11 Oct →
anubis15–150.0012%10 Oct →
mirage6–130.0313%10 Oct →
inferno13–70.1110%10 Oct →
dust28–130.0215%10 Oct →
mirage6–13-0.0614%10 Oct →
dust22–13-0.0219%10 Oct →
train11–13-0.0313%10 Oct →
train9–130.0118%10 Oct →
anubis11–130.0818%9 Oct →
dust213–3-0.016%9 Oct →
inferno13–90.1015%9 Oct →
inferno13–60.0213%9 Oct →
ancient6–13-0.0211%9 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.