Noettinger

Noettinger — CS2 Stats

DE76561198208194408[U:1:247928680]Steam profile ↗✓ No bans

678Tracked matches36%Win rate2020Tracked since
2,541Hours in CS16Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating14,899Blue band · top ~28.9% of ranked players (population est.)
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: 14,899 -852 25 Sept – 27 Sept · 2 days played
14,89915,751peak 15,75125 Sept27 Sept
15,980Peak Premier in tracked matches
1,231Highest Faceit ELO seen on CSDB
27Days played since 2026-07-27

Faceit ELO

  • At peak — 1,231
  • Next: Level 7 at 1,351 — 120 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 852 below peak (15,751)
  • Next: Purple band at 15,000 — 101 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.5%42.0%44.3%7.9% short
Shot accuracy16.5%9.6%11.9%above
Kill/death ratio1.160.981.03above
Match win rate46.0%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGNoettingerPREMIER14,899 · Blue bandPEAK ELO1,231csdb.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

Aim88
Positioning51
Utility20

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLWWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · −7ms 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 18%
  • Avg reaction 622ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 627ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 630ms

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 (+1.2 against its own average).

Aim8.8
Utility2.0
Positioning5.1
Opening Duels4.0
Clutch4.4

Sharp aimerLimited 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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

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

Reaction time. 621ms 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

Aim8.8
Positioning5.1
Utility2.0
Mechanics8.1
Opening Duels3.8
Win Impact0.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time619ms−34ms
first ⅓ avg 653ms → last ⅓ avg 619ms
Headshot accuracy17.6%−4.2%
first ⅓ avg 21.8% → last ⅓ avg 17.6%

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

0.16Best match rating · 13–0 · dust2, 20 Aug →
50%Best headshot accuracy · 13–1 · office, 31 Jul →
453msFastest reaction time · 13–1 · office, 31 Jul →
13–0Biggest win · dust2, 20 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–2In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB199–1047%0.02
officeB178–947%0.04
nukeC125–742%-0.02
shelterS107–370%0.03
overpassB84–450%-0.01
mirageD71–614%-0.01
cacheD72–529%-0.00
anubisS54–180%0.05
dust2C52–340%0.00
ancient—42–250%0.02
boulder—22–0100%0.03
vertigo—20–20%0.01
fachwerk—10–10%0.02
italy—10–10%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,301Lifetime kills
1.16K/D · Top 25% of Blue band
2,963Matches
46.0%Match win rate · Top 50% of Blue band
36.5%Headshot %
16.5%Shot accuracy · Top 25% of Blue band
8,219MVPs
1,297Hours (in match)
3,417Bombs planted
838Bombs defused

Most-used weapons

AK-4716,835
AWP8,724
P2501,404
Tec-91,271
FAMAS1,113

Lifetime map wins

5,076dust2
4,074inferno
1,743nuke
1,593vertigo
1,439cbble
1,065train
744office
179italy

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

Faceit stats

Combat

570Matches
51%Win rate
1.19Avg K/D
76.0ADR
33%Headshot %

Clutches & streaks

42%1v1 clutch win
41%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1650%0.9814.1
Anubis956%0.9112.3
Inferno862%1.0015.4
Nuke650%0.9816.5
Dust2560%3.0115.4
Ancient475%1.9717.8
Overpass20%0.7212.5
Train1100%0.587.0

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.

17.6%Headshot accuracy
43.1%Accuracy (enemy spotted)
42.6%Spray accuracy
86.5%Counter-strafing
7.7°Preaim
621msReaction time
50.6%T opening success
40.2%CT opening success
0.33Enemies flashed / flash
4.6%Flash assists
4.61HE damage / grenade
1.80Flashes / 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 0.3305 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% 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
office7–130.0524%29 Sept →
mirage1–13-0.0315%27 Sept →
nuke11–13-0.0716%27 Sept →
inferno13–9-0.0123%27 Sept →
mirage13–110.0213%27 Sept →
anubis8–130.0614%27 Sept →
dust21–13-0.0416%27 Sept →
inferno13–60.0616%27 Sept →
mirage11–13-0.0317%27 Sept →
nuke5–13-0.044%27 Sept →
inferno6–13-0.0213%25 Sept →
mirage8–130.0718%25 Sept →
inferno13–60.0716%25 Sept →
nuke13–110.0020%25 Sept →
mirage8–130.0217%25 Sept →
nuke13–40.0113%25 Sept →
ancient5–13-0.0212%20 Sept →
nuke13–90.0317%20 Sept →
inferno7–130.0124%20 Sept →
shelter4–13-0.0619%19 Sept →
inferno15–150.0114%19 Sept →
cache6–13-0.0325%17 Sept →
inferno6–130.0813%17 Sept →
overpass13–9-0.0428%17 Sept →
office7–130.0727%13 Sept →
overpass6–13-0.0221%10 Sept →
office9–130.1116%9 Sept →
shelter13–70.0523%9 Sept →
inferno12–120.049%9 Sept →
shelter13–100.0124%8 Sept →
office13–60.1125%8 Sept →
overpass13–9-0.0020%8 Sept →
cache5–13-0.019%8 Sept →
inferno13–3-0.0318%8 Sept →
ancient12–120.0311%8 Sept →
shelter13–100.0314%7 Sept →
office13–80.0627%7 Sept →
inferno8–13-0.0214%7 Sept →
anubis16–140.019%7 Sept →
office13–110.0725%7 Sept →
office10–130.0826%6 Sept →
overpass8–130.0314%6 Sept →
shelter2–13-0.0030%6 Sept →
inferno2–13-0.0630%6 Sept →
nuke1–13-0.0924%6 Sept →
anubis13–100.1125%6 Sept →
fachwerk9–130.0225%6 Sept →
boulder13–5-0.0113%6 Sept →
boulder8–10.066%6 Sept →
vertigo8–130.057%6 Sept →
dust22–13-0.075%29 Aug →
mirage7–13-0.0317%27 Aug →
mirage2–13-0.1012%27 Aug →
nuke13–110.0022%27 Aug →
cache10–13-0.0521%27 Aug →
inferno6–130.0121%27 Aug →
nuke6–13-0.0613%26 Aug →
inferno13–80.0928%26 Aug →
cache7–13-0.0114%26 Aug →
office10–100.0224%26 Aug →
office4–13-0.0432%22 Aug →
shelter13–100.1220%22 Aug →
anubis13–110.0717%21 Aug →
italy6–130.0219%21 Aug →
office4–130.0429%21 Aug →
inferno12–120.1020%20 Aug →
nuke8–130.0122%20 Aug →
dust213–2-0.0115%20 Aug →
dust213–00.1627%20 Aug →
shelter13–8-0.0212%20 Aug →
nuke7–13-0.0221%19 Aug →
inferno13–5-0.0114%19 Aug →
shelter12–120.0727%11 Aug →
overpass13–70.0217%11 Aug →
cache3–130.0124%11 Aug →
office5–130.0121%11 Aug →
overpass9–13-0.1111%3 Aug →
cache13–60.0643%3 Aug →
overpass13–10-0.0017%2 Aug →
office9–130.0321%2 Aug →
nuke13–110.0310%2 Aug →
inferno13–11-0.0222%2 Aug →
dust28–13-0.0228%1 Aug →
shelter13–30.0425%1 Aug →
vertigo8–13-0.0220%1 Aug →
inferno13–70.0620%31 Jul →
office13–10.0650%31 Jul →
office13–6-0.0118%31 Jul →
inferno7–130.0824%30 Jul →
office13–110.0124%30 Jul →
nuke2–13-0.0213%28 Jul →
ancient13–50.0119%28 Jul →
office13–100.0342%28 Jul →
office6–13-0.0422%27 Jul →
shelter13–50.0433%27 Jul →
overpass12–120.0224%27 Jul →
anubis13–90.0319%27 Jul →
cache13–10-0.007%27 Jul →
ancient13–70.0622%27 Jul →
inferno13–2-0.028%27 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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