Rattenjunge

Rattenjunge — CS2 Stats

76561197985001124[U:1:24735396]Steam profile ↗✓ No bans

806Tracked matches62%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating9,645Light Blue band · top ~56.6% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (5 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: 9,645 -1,464 27 Jun – 27 Sept · 26 days played
9,10911,118peak 11,11827 Jun27 Sept
11,471Peak Premier in tracked matches
37Days played since 2026-06-27

Premier CS Rating

  • 1,473 below peak (11,118)
  • -1,298 over 30 days · declining
  • -878 over 90 days
  • Next: Blue band at 10,000 — 355 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-16
  • Light Blue band first seen 2026-09-16

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

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CSDB.GGRattenjungePREMIER9,645 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning57
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.6pp headshot accuracy · +22ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 566ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 577ms

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.

Aim5.9
Utility5.7
Positioning5.7
Opening Duels5.2

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

ZywOo

Plays most like ZywOo 80% 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 →

Strengths & areas to improve

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim5.9
Positioning5.7
Utility5.7
Mechanics6.2
Opening Duels4.1
Win Impact9.0

Composite 5.4/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time590ms−66ms
first ⅓ avg 655ms → last ⅓ avg 590ms
Headshot accuracy17.3%+2.8%
first ⅓ avg 14.5% → last ⅓ avg 17.3%

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

0.19Best match rating · 13–6 · cache, 8 Jul →
32%Best headshot accuracy · 9–13 · mirage, 10 Aug →
391msFastest reaction time · 11–13 · inferno, 24 Sept →
13–3Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 6anubisWeakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
infernoB2613–1350%0.02
anubisB2411–1346%0.01
nukeB2211–1150%0.00
cacheB158–753%0.01
overpassS64–267%-0.02
dust2—31–233%-0.05
mirage—20–20%0.05
train—11–0100%0.02
ancient—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (46% over 24). 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.

17.1%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.1%Spray accuracy
77.8%Counter-strafing
12.2°Preaim
600msReaction time
31.4%T opening success
61.1%CT opening success
0.53Enemies flashed / flash
9.5%Flash assists
10.01HE damage / grenade
5.58Flashes / 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 12.1898° — above the 12° mark we flag

    Aim Training →
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.

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0113%28 Sept →
inferno13–40.1715%27 Sept →
inferno11–13-0.0811%24 Sept →
inferno13–6-0.0317%24 Sept →
anubis13–3-0.029%19 Sept →
train13–60.0217%19 Sept →
anubis11–130.0013%2 Sept →
nuke6–130.0614%29 Aug →
anubis13–10-0.0113%29 Aug →
anubis9–13-0.008%20 Aug →
cache13–30.0820%20 Aug →
inferno13–100.0425%20 Aug →
cache12–12-0.0310%20 Aug →
inferno6–130.0022%19 Aug →
nuke13–110.0213%18 Aug →
cache13–70.0412%18 Aug →
anubis13–80.1324%18 Aug →
inferno13–8-0.0420%17 Aug →
nuke13–30.0414%17 Aug →
nuke10–13-0.0028%16 Aug →
inferno16–130.0120%15 Aug →
nuke13–110.0411%15 Aug →
anubis6–13-0.0821%15 Aug →
anubis13–50.0816%12 Aug →
nuke8–13-0.0321%12 Aug →
anubis8–130.0317%12 Aug →
cache13–10-0.0313%12 Aug →
mirage11–130.0530%11 Aug →
nuke13–100.0516%11 Aug →
anubis12–16-0.0026%10 Aug →
mirage9–130.0532%10 Aug →
inferno16–130.0020%10 Aug →
inferno3–13-0.0110%8 Aug →
cache13–6-0.0117%30 Jul →
dust213–3-0.0718%30 Jul →
ancient8–13-0.0823%30 Jul →
anubis11–130.0121%30 Jul →
inferno10–13-0.0317%28 Jul →
inferno8–13-0.0715%28 Jul →
nuke13–4-0.0023%26 Jul →
cache13–11-0.0318%25 Jul →
inferno13–80.0731%25 Jul →
nuke15–15-0.0418%25 Jul →
cache11–13-0.0925%25 Jul →
inferno13–70.0210%25 Jul →
anubis10–13-0.0316%24 Jul →
cache15–150.0115%24 Jul →
cache4–13-0.0116%22 Jul →
inferno9–13-0.0316%17 Jul →
nuke13–50.0213%17 Jul →
cache13–110.0113%15 Jul →
inferno13–100.0515%15 Jul →
dust210–13-0.0818%15 Jul →
cache7–130.0424%15 Jul →
anubis13–60.0417%14 Jul →
cache10–13-0.0110%14 Jul →
anubis13–60.0011%11 Jul →
nuke11–13-0.0413%11 Jul →
nuke6–130.0314%9 Jul →
cache13–3-0.0323%9 Jul →
inferno10–130.0613%9 Jul →
inferno13–100.0418%9 Jul →
nuke10–130.0922%9 Jul →
inferno12–120.1126%8 Jul →
cache13–60.1929%8 Jul →
nuke13–10-0.0217%6 Jul →
overpass16–14-0.088%6 Jul →
anubis11–130.0823%6 Jul →
cache5–130.0318%5 Jul →
nuke13–10-0.0410%4 Jul →
inferno9–130.0711%4 Jul →
dust211–13-0.0213%4 Jul →
nuke13–11-0.0719%4 Jul →
nuke5–13-0.0422%3 Jul →
anubis7–13-0.0412%3 Jul →
anubis9–130.0332%3 Jul →
anubis13–40.0117%3 Jul →
overpass13–80.0813%2 Jul →
nuke13–100.0423%2 Jul →
inferno13–90.0714%2 Jul →
anubis13–60.0513%2 Jul →
overpass13–110.027%2 Jul →
inferno8–13-0.028%2 Jul →
inferno3–13-0.0412%2 Jul →
inferno6–130.0020%30 Jun →
nuke10–130.0522%30 Jun →
anubis13–9-0.029%30 Jun →
nuke13–50.048%29 Jun →
anubis13–6-0.059%29 Jun →
overpass2–13-0.0713%29 Jun →
anubis7–13-0.025%29 Jun →
overpass8–13-0.097%29 Jun →
inferno13–100.1722%29 Jun →
nuke5–13-0.086%28 Jun →
anubis10–13-0.0019%28 Jun →
nuke7–13-0.0220%28 Jun →
inferno13–7-0.0113%28 Jun →
anubis11–130.027%27 Jun →
overpass13–110.0120%27 Jun →
inferno8–13-0.0213%27 Jun →

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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