Rudi Rauhbein

Rudi Rauhbein — CS2 Stats

DE76561197973567247[U:1:13301519]Steam profile ↗✓ No bans

1,967Tracked matches43%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating22,777Top 25% of 201,122 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#43763 of 247978 tracked
FaceitLevel 8 · 1,599 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,967 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,777 +404 30 Jul – 6 Sept · 24 days played
19,94624,228peak 24,22830 Jul6 Sept
Faceit ELO: 1,599 +0 4 Sept – 6 Sept · 2 observations
1,5991,599peak 1,5994 Sept6 Sept
24,228Peak Premier in tracked matches
1,599Highest Faceit ELO seen on CSDB
34Days played since 2025-07-30

Faceit ELO

  • At peak — 1,599
  • Next: Level 9 at 1,751 — 152 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-04
  • Level 7 first seen 2026-09-04

Premier CS Rating

  • 1,451 below peak (24,228)
  • Next: Red band at 25,000 — 2,223 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGRudi RauhbeinFACEITLevel 8 · 1,599 ELOSTANDINGTop 31.2% of rankedPREMIER22,777 · Pink bandPEAK ELO1,599csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLLWLWLLLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.3pp headshot accuracy · −28ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 666ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 657ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 671ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility5.6
Positioning4.8
Opening Duels2.4
Clutch3.8

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

NiKo

Plays most like NiKo 82% 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

Areas to improve

T-side openings. Opening success drops from 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms 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

Aim5.8
Positioning4.8
Utility5.6
Mechanics7.1
Opening Duels2.3
Win Impact2.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time684ms+11ms
first ⅓ avg 673ms → last ⅓ avg 684ms
Headshot accuracy18.2%−0.6%
first ⅓ avg 18.8% → last ⅓ avg 18.2%

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

0.22Best match rating · 9–1 · vertigo, 18 Aug →
34%Best headshot accuracy · 13–5 · ancient, 1 Aug →
469msFastest reaction time · 10–13 · nuke, 10 Dec →
13–3Biggest win · dust2, 2 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
9–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C3816–2242%-0.01
nukeA2112–957%0.00
overpassC114–736%-0.03
ancientS107–370%0.01
infernoD92–722%0.01
mirage—31–233%-0.02
vertigo—33–0100%0.03
anubis—21–150%-0.03
train—21–150%-0.05
stronghold—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

490Matches
51%Win rate
1.04Avg K/D
76.2ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust25959%1.0313.9
Inferno5754%1.1016.0
Vertigo3142%1.0516.0
Ancient2843%1.0214.6
Anubis2544%1.0513.2
Overpass1650%1.2317.1
Nuke1354%0.9414.8
Mirage650%1.4118.7

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.

17.4%Headshot accuracy
33.3%Accuracy (enemy spotted)
31.8%Spray accuracy
82.1%Counter-strafing
9.5°Preaim
673msReaction time
23.6%T opening success
48.1%CT opening success
0.56Enemies flashed / flash
10.4%Flash assists
11.68HE damage / grenade
5.72Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.6124% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass9–13-0.0817%9 Mar →
ancient6–13-0.0622%9 Mar →
mirage13–100.0124%4 Mar →
nuke11–130.0826%3 Mar →
nuke13–50.0217%3 Mar →
overpass4–13-0.0221%3 Mar →
dust211–13-0.0512%2 Mar →
anubis8–13-0.0623%2 Mar →
nuke16–140.0514%1 Mar →
dust213–10-0.0416%1 Mar →
dust213–40.1120%28 Feb →
nuke8–13-0.0218%28 Feb →
dust29–13-0.0115%28 Feb →
nuke12–12-0.0426%28 Feb →
train4–13-0.0617%28 Feb →
train13–11-0.046%28 Feb →
dust29–13-0.0310%23 Feb →
ancient4–13-0.0718%23 Feb →
mirage11–13-0.0426%23 Feb →
anubis16–14-0.0114%22 Feb →
overpass9–13-0.0126%22 Feb →
nuke13–50.0415%22 Feb →
inferno15–150.009%22 Feb →
dust24–13-0.0520%22 Feb →
dust27–2-0.0622%22 Feb →
nuke13–8-0.0314%16 Feb →
inferno3–13-0.0411%16 Feb →
dust213–100.0222%16 Feb →
overpass10–13-0.0316%15 Feb →
nuke13–100.0017%15 Feb →
ancient13–4-0.0130%15 Feb →
overpass13–16-0.0417%15 Feb →
dust213–40.0122%12 Feb →
vertigo13–10-0.038%12 Feb →
mirage4–13-0.039%12 Feb →
stronghold4–13-0.1117%2 Feb →
dust213–80.0115%2 Feb →
ancient13–50.0226%2 Feb →
nuke13–100.0120%25 Jan →
dust213–40.0214%25 Jan →
overpass14–16-0.0213%25 Jan →
dust28–130.0324%16 Jan →
dust28–13-0.0413%2 Jan →
dust23–13-0.0623%2 Jan →
ancient13–40.039%2 Jan →
dust213–30.0723%2 Jan →
nuke13–10-0.049%30 Dec →
overpass13–9-0.0624%30 Dec →
dust29–13-0.0810%30 Dec →
nuke13–160.0319%30 Dec →
ancient9–130.0119%29 Dec →
inferno1–130.0116%29 Dec →
dust213–11-0.0415%25 Dec →
overpass16–14-0.0217%16 Dec →
inferno16–12-0.0216%16 Dec →
inferno6–9-0.0315%14 Dec →
dust210–13-0.0116%11 Dec →
nuke10–13-0.0413%10 Dec →
dust213–50.029%10 Dec →
dust213–100.0027%10 Dec →
nuke7–13-0.0113%2 Dec →
overpass16–140.0216%1 Dec →
dust213–110.0026%7 Nov →
nuke13–110.0213%7 Nov →
dust25–13-0.0412%7 Nov →
inferno7–130.0725%7 Nov →
dust25–130.0222%7 Nov →
vertigo9–6-0.090%7 Nov →
nuke8–80.0320%7 Nov →
dust211–13-0.0116%17 Oct →
dust210–13-0.027%17 Oct →
nuke13–7-0.0216%13 Oct →
nuke13–11-0.0422%13 Oct →
ancient13–5-0.0126%11 Oct →
dust213–80.0217%11 Oct →
nuke13–60.037%11 Oct →
dust213–9-0.0221%11 Oct →
ancient13–100.0026%10 Oct →
ancient13–6-0.0118%10 Oct →
nuke6–13-0.0031%10 Oct →
dust213–90.0515%10 Oct →
nuke13–70.0422%10 Oct →
dust25–13-0.0726%10 Oct →
dust211–130.0312%10 Oct →
inferno9–13-0.0531%18 Aug →
dust213–70.0316%18 Aug →
vertigo9–10.2222%18 Aug →
inferno9–10.1820%18 Aug →
dust26–13-0.0814%11 Aug →
overpass13–9-0.0217%11 Aug →
dust26–13-0.0319%11 Aug →
dust212–12-0.0125%11 Aug →
dust28–130.0733%10 Aug →
inferno7–13-0.0512%10 Aug →
overpass13–16-0.0415%1 Aug →
dust29–13-0.0712%1 Aug →
nuke10–13-0.0516%1 Aug →
ancient13–50.1734%1 Aug →
dust215–15-0.0215%30 Jul →
dust211–13-0.0317%30 Jul →

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 →

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