Na_Ned_Der_Scho_Wieda

Na_Ned_Der_Scho_Wieda — CS2 Stats

AT76561198240401798[U:1:280136070]Steam profile ↗✓ No bans

1,112Tracked matches50%Win rate2020Tracked since
5,809Hours in CS9Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating18,755Top 50% of 206,528 CSDB-tracked playersPurple band · top ~13.5% of ranked players (population est.)
CSDB Leaderboard#99763 of 254000 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (3 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: 18,755 +797 3 Jun – 16 Oct · 22 days played
15,98718,990peak 18,9903 Jun16 Oct
19,694Peak Premier in tracked matches
39Days played since 2026-05-22

Premier CS Rating

  • 235 below peak (18,990)
  • +1,681 over 90 days
  • Next: Pink band at 20,000 — 1,245 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Level 4 among CSDB-tracked players (n=14,312), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate33.0%42.7%43.7%10.8% short
Shot accuracy22.1%11.3%12.0%above
Kill/death ratio1.150.991.02above
Match win rate39.8%43.9%44.7%4.9% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNa_Ned_Der_Scho_WiedaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,755 · Purple bandcsdb.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

Aim61
Positioning44
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLLWWWLLLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +4.6pp headshot accuracy · −23ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 622ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

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 (+1.4 against its own average).

Aim6.1
Utility2.4
Positioning4.4
Opening Duels2.2

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

donk

Plays most like donk 97% playstyle similarity

Most alike: opening-duel success, aim profile.

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

Areas to improve

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

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim6.1
Positioning4.4
Utility2.4
Mechanics5.4
Opening Duels1.8
Win Impact5.0

Composite 4.6/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time576ms−76ms
first ⅓ avg 652ms → last ⅓ avg 576ms
Headshot accuracy16.9%−0.1%
first ⅓ avg 17.0% → last ⅓ avg 16.9%

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

0.15Best match rating · 13–5 · inferno, 28 Jul →
36%Best headshot accuracy · 13–7 · cache, 3 Jun →
422msFastest reaction time · 6–13 · shelter, 30 Aug →
13–1Biggest win · cache, 3 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 18infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheD206–1430%-0.01
anubisS1812–667%0.01
ancientB158–753%0.00
mirageC104–640%-0.04
overpassC73–443%-0.01
infernoD72–529%0.01
shelterS64–267%-0.03
nukeC52–340%-0.00
dust2—42–250%0.01
italy—30–30%0.02
office—22–0100%0.00
eldorado—11–0100%0.03
fachwerk—11–0100%0.04
vertigo—10–10%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

222,126Lifetime kills
1.15K/D · Top 25% of Level 4 players
12,747Matches
39.8%Match win rate
33.0%Headshot %
22.1%Shot accuracy · Top 1% of Level 4 players
21,997MVPs
3,365Hours (in match)
6,149Bombs planted
1,853Bombs defused

Most-used weapons

AK-4736,593
AWP33,873
MP77,070
P906,230
Tec-95,984
P2505,697

Lifetime map wins

18,342cbble
12,161inferno
2,858nuke
2,321dust2
1,836lake
1,571italy
1,224train
1,072safehouse

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

Faceit stats

Combat

93Matches
42%Win rate
1.03Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis667%1.2012.8
Vertigo540%0.8014.8
Inferno3100%1.1017.3
Overpass367%1.2416.0
Mirage250%1.2716.5
Ancient10%0.7414.0
Nuke1100%2.0018.0

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.

17.0%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.1%Spray accuracy
74.4%Counter-strafing
10.3°Preaim
583msReaction time
24.7%T opening success
44.5%CT opening success
0.34Enemies flashed / flash
1.8%Flash assists
6.16HE damage / grenade
3.72Flashes / 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. 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 0.345 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 24.7193% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0320%16 Oct →
cache9–13-0.0133%16 Oct →
overpass3–13-0.0515%16 Oct →
anubis13–10-0.0712%16 Oct →
anubis13–9-0.0120%9 Oct →
anubis13–10-0.025%3 Oct →
mirage11–13-0.0623%3 Sept →
cache6–13-0.0833%3 Sept →
ancient10–130.0316%3 Sept →
ancient13–7-0.0311%2 Sept →
dust26–13-0.047%2 Sept →
nuke13–11-0.0213%2 Sept →
inferno9–13-0.0218%31 Aug →
nuke10–130.0113%31 Aug →
cache7–13-0.0410%31 Aug →
cache5–130.0523%30 Aug →
shelter13–7-0.0414%30 Aug →
italy11–130.0115%30 Aug →
shelter6–130.0012%30 Aug →
cache11–13-0.0116%30 Aug →
anubis13–50.0821%30 Aug →
ancient4–0-0.0317%30 Aug →
mirage13–9-0.0010%30 Aug →
overpass13–110.0321%28 Aug →
ancient8–130.0613%28 Aug →
cache9–13-0.029%28 Aug →
anubis13–90.0217%28 Aug →
anubis16–140.0420%27 Aug →
ancient13–50.0518%26 Aug →
cache13–4-0.0335%26 Aug →
ancient16–130.0220%26 Aug →
nuke8–13-0.0410%26 Aug →
anubis14–160.0214%25 Aug →
inferno7–13-0.0514%25 Aug →
cache4–130.0323%23 Aug →
ancient13–50.0110%23 Aug →
italy5–13-0.0025%23 Aug →
eldorado9–30.0313%23 Aug →
anubis8–130.0319%21 Aug →
shelter13–8-0.018%21 Aug →
overpass13–9-0.029%19 Aug →
overpass10–13-0.0714%19 Aug →
shelter13–60.0121%19 Aug →
mirage13–8-0.0216%18 Aug →
inferno13–110.0622%18 Aug →
cache13–20.0518%18 Aug →
shelter13–7-0.0912%17 Aug →
office13–8-0.0224%17 Aug →
ancient10–130.0218%17 Aug →
ancient13–80.037%4 Aug →
nuke6–130.0114%3 Aug →
cache13–10.0110%3 Aug →
mirage6–13-0.0917%3 Aug →
mirage4–13-0.0719%2 Aug →
anubis7–13-0.054%2 Aug →
anubis13–70.0510%31 Jul →
mirage6–130.0412%31 Jul →
anubis13–20.067%29 Jul →
nuke13–60.0110%29 Jul →
mirage7–13-0.0823%29 Jul →
dust213–110.0317%28 Jul →
inferno13–50.1518%28 Jul →
dust213–90.0613%28 Jul →
cache14–160.0115%27 Jul →
anubis13–30.029%27 Jul →
ancient13–5-0.0121%20 Jul →
anubis13–9-0.0313%20 Jul →
anubis13–110.017%15 Jul →
ancient5–13-0.0125%15 Jul →
ancient9–13-0.0812%15 Jul →
mirage0–13-0.118%14 Jul →
cache16–130.0313%14 Jul →
mirage13–9-0.0523%14 Jul →
shelter10–13-0.0515%13 Jul →
fachwerk13–40.0419%13 Jul →
ancient11–13-0.049%13 Jul →
cache6–13-0.0521%9 Jul →
cache6–130.0214%8 Jul →
cache7–13-0.056%6 Jul →
overpass13–90.0821%3 Jul →
mirage13–60.0125%3 Jul →
cache13–6-0.007%3 Jul →
inferno8–130.0015%29 Jun →
overpass11–13-0.0113%26 Jun →
cache11–130.0018%26 Jun →
ancient13–16-0.034%19 Jun →
anubis15–150.0017%19 Jun →
inferno9–13-0.0523%18 Jun →
cache7–13-0.057%18 Jun →
anubis9–130.0229%7 Jun →
dust23–130.0021%7 Jun →
inferno8–13-0.0415%5 Jun →
italy7–130.0621%5 Jun →
office13–50.0215%5 Jun →
anubis12–120.0020%5 Jun →
vertigo7–90.1131%3 Jun →
overpass5–13-0.029%3 Jun →
ancient13–40.0416%3 Jun →
cache13–7-0.0136%3 Jun →
cache5–13-0.0126%22 May →

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.