Nackenscheitel

Nackenscheitel — CS2 Stats

DE76561198296890816[U:1:336625088]Steam profile ↗✓ No bans

2,959Tracked matches55%Win rate2020Tracked since
3,923Hours in CS
CSDB Rating6.5 SolidAll-Rounder
Premier CS Rating19,886Top 50% of 200,982 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#83462 of 247862 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 19,886 +1,924 31 Aug – 30 Sept · 20 days played
16,51519,886peak 19,88631 Aug30 Sept
19,886Peak Premier in tracked matches
26Days played since 2026-08-31

Premier CS Rating

  • At peak — 19,886
  • +1,924 over 30 days · improving
  • Next: Pink band at 20,000 — 114 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches268——
Win rate48%——
K/D0.96——
Headshot %55%——

Measured 31 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate46.3%44.3%46.9%meets
Shot accuracy12.2%11.9%13.0%0.8% short
Kill/death ratio0.891.031.080.19 short
Match win rate45.7%45.2%46.7%1.0% short

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

Widest gap: Kill/death ratio. 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.GGNackenscheitelPREMIER19,886 · 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

Aim71
Positioning65
Utility54

0–100 skill scores via Leetify.

Recent form

COLD44–44–12Last 10044%Win rateWLTLWWLLTT

Last 10 vs previous 10: −20pp win rate · −0.06 avg rating · −2.1pp headshot accuracy · +61ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 636ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 587ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • 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.

Aim7.1
Utility5.4
Positioning6.5
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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 64% 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 64% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim7.1
Positioning6.5
Utility5.4
Mechanics6.4
Opening Duels6.4
Win Impact6.7

Composite 6.5/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time568ms−35ms
first ⅓ avg 604ms → last ⅓ avg 568ms
Headshot accuracy25.2%+6.1%
first ⅓ avg 19.1% → last ⅓ avg 25.2%

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

0.27Best match rating · 9–2 · inferno, 13 Sept →
56%Best headshot accuracy · 6–8 · rush_001, 28 Sept →
375msFastest reaction time · 3–9 · inferno, 11 Sept →
13–2Biggest win · dust2, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 83% over 6infernoWeakest map · 40% over 52
MapGradePlayedRecordWin rateAvg rating
infernoC5221–3140%0.02
dust2C219–1243%-0.02
ancientC73–443%-0.03
mirageS65–183%0.01
cache—43–175%0.00
vertigo—31–233%-0.04
anubis—31–233%-0.01
train—21–150%0.07
rush_001—10–10%0.02
nuke—10–10%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 52). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

178,225Lifetime kills
0.89K/D
12,869Matches
45.7%Match win rate · Top 50% of Purple band
46.3%Headshot % · Top 50% of Purple band
12.2%Shot accuracy · Top 50% of Purple band
39,260MVPs
3,923Hours (in match)
10,897Bombs planted
2,311Bombs defused

Most-used weapons

AK-4756,540
AWP11,065
P906,389
MP76,278
MP95,633
MAC-104,769

Lifetime map wins

41,686inferno
29,970dust2
3,648cbble
2,738train
1,667nuke
911vertigo
102office
59lake

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.

19.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.8%Spray accuracy
78.7%Counter-strafing
10.0°Preaim
599msReaction time
47.2%T opening success
64.1%CT opening success
0.58Enemies flashed / flash
7.3%Flash assists
7.47HE damage / grenade
13.77Flashes / match

Recommended for you

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.

40% win rate across 52 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0221%30 Sept →
inferno7–9-0.0429%30 Sept →
inferno8–8-0.1229%30 Sept →
vertigo6–9-0.065%30 Sept →
mirage13–100.006%29 Sept →
inferno9–6-0.0024%28 Sept →
ancient10–13-0.0119%28 Sept →
rush_0016–80.0256%28 Sept →
inferno8–8-0.0618%27 Sept →
inferno8–80.0635%27 Sept →
inferno9–40.1646%27 Sept →
inferno4–9-0.0028%27 Sept →
dust24–13-0.0121%26 Sept →
dust213–70.0219%26 Sept →
inferno6–90.0622%26 Sept →
inferno9–30.095%25 Sept →
inferno9–00.1047%25 Sept →
inferno1–9-0.0612%25 Sept →
inferno8–80.1039%25 Sept →
inferno9–4-0.0624%25 Sept →
inferno9–70.0656%24 Sept →
inferno10–130.0724%24 Sept →
mirage13–40.0220%23 Sept →
mirage16–14-0.0224%22 Sept →
dust27–13-0.0612%22 Sept →
inferno9–30.1731%22 Sept →
inferno9–50.1831%22 Sept →
inferno8–80.0424%22 Sept →
inferno7–90.0215%22 Sept →
inferno9–40.1031%22 Sept →
inferno8–80.049%22 Sept →
ancient16–13-0.0518%20 Sept →
inferno9–13-0.0233%20 Sept →
dust213–80.0113%20 Sept →
inferno5–9-0.0040%20 Sept →
cache2–13-0.0919%19 Sept →
train13–30.0111%19 Sept →
dust213–9-0.0117%18 Sept →
dust210–13-0.0110%18 Sept →
ancient13–110.0316%18 Sept →
ancient6–13-0.0719%18 Sept →
inferno0–9-0.248%18 Sept →
train10–130.1322%17 Sept →
inferno15–15-0.0311%17 Sept →
dust213–11-0.0216%17 Sept →
ancient13–10-0.0012%17 Sept →
anubis9–130.0421%16 Sept →
ancient7–13-0.089%15 Sept →
inferno13–80.0250%15 Sept →
dust22–13-0.0425%15 Sept →
cache13–30.0331%15 Sept →
inferno8–80.0723%15 Sept →
mirage13–90.0727%14 Sept →
inferno16–140.0220%14 Sept →
vertigo7–9-0.0340%14 Sept →
dust210–13-0.0426%14 Sept →
inferno9–30.0426%14 Sept →
inferno9–20.2730%13 Sept →
inferno9–10.0336%13 Sept →
inferno9–20.1132%13 Sept →
dust211–130.0111%13 Sept →
mirage13–90.0111%13 Sept →
cache13–110.0523%13 Sept →
inferno13–11-0.0524%13 Sept →
dust21–13-0.0116%13 Sept →
inferno8–80.0132%13 Sept →
dust213–9-0.0216%13 Sept →
ancient14–16-0.0019%12 Sept →
dust213–11-0.0228%12 Sept →
anubis6–13-0.1013%12 Sept →
vertigo9–6-0.0237%12 Sept →
inferno4–9-0.0213%12 Sept →
inferno9–60.0431%12 Sept →
inferno9–50.0728%12 Sept →
inferno9–13-0.0213%11 Sept →
inferno9–70.0627%11 Sept →
inferno4–9-0.1025%11 Sept →
inferno9–50.1424%11 Sept →
dust28–3-0.030%11 Sept →
inferno3–9-0.1421%11 Sept →
dust24–13-0.0830%10 Sept →
nuke15–150.0119%10 Sept →
inferno4–9-0.1111%10 Sept →
dust212–12-0.0219%10 Sept →
inferno4–13-0.0325%9 Sept →
inferno9–20.1421%9 Sept →
inferno5–90.0215%9 Sept →
inferno8–80.0712%8 Sept →
inferno1–9-0.149%8 Sept →
dust23–130.0315%4 Sept →
dust27–130.0316%4 Sept →
inferno8–13-0.0412%4 Sept →
anubis13–70.0215%4 Sept →
dust213–2-0.0721%4 Sept →
inferno5–90.0313%4 Sept →
inferno14–16-0.0223%3 Sept →
dust213–4-0.0219%1 Sept →
inferno6–9-0.0327%1 Sept →
mirage8–13-0.0112%31 Aug →
dust28–120.0320%31 Aug →

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.