N1c0/Günter

N1c0/Günter — CS2 Stats

76561198075361039[U:1:115095311]Steam profile ↗✓ No bans

2,132Tracked matches63%Win rate2020Tracked since
3,944Hours in CS28Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating17,284Purple band · top ~19.3% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−173Premier CS Rating · 17,457 → 17,284

Rating over time

Premier CS Rating: 17,284 +327 6 Apr – 27 Oct · 21 days played
16,35918,523peak 18,5236 Apr27 Oct
18,523Peak Premier in tracked matches
1,081Highest Faceit ELO seen on CSDB
42Days played since 2026-04-06

Faceit ELO

  • At peak — 1,081
  • Next: Level 6 at 1,201 — 120 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,239 below peak (18,523)
  • Next: Pink band at 20,000 — 2,716 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 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 rate38.7%44.4%46.9%8.2% short
Shot accuracy10.7%11.9%13.0%2.3% short
Kill/death ratio1.111.031.08above
Match win rate47.1%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGN1c0/GünterPREMIER17,284 · Purple bandPEAK ELO1,081csdb.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
Positioning66
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46–45–9Last 10046%Win rateWLLLWLWTLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.0pp headshot accuracy · −20ms 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 -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 467ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 537ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 547ms

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 (+1.7 against its own average).

Aim6.1
Utility5.9
Positioning6.6
Opening Duels4.2
Clutch2.8

Strong T-side openerLimited 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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 556ms 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
Positioning6.6
Utility5.9
Mechanics5.3
Opening Duels5.9
Win Impact9.3

Composite 6.4/10 (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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time552ms−41ms
first ⅓ avg 593ms → last ⅓ avg 552ms
Headshot accuracy14.5%−1.3%
first ⅓ avg 15.8% → last ⅓ avg 14.5%

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 · 13–11 · inferno, 31 May →
28%Best headshot accuracy · 10–13 · anubis, 7 Jun →
406msFastest reaction time · 13–9 · anubis, 18 Oct →
13–2Biggest win · cache, 14 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA1912–763%0.02
cacheB178–947%-0.02
anubisB157–847%0.03
infernoD144–1029%0.01
mirageS96–367%0.02
ancientD82–625%-0.03
overpassC73–443%-0.01
dust2—42–250%-0.01
vertigo—32–167%0.02
office—20–20%-0.03
train—20–20%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,843Lifetime kills
1.11K/D · Top 50% of Purple band
4,560Matches
47.1%Match win rate · Top 50% of Purple band
38.7%Headshot %
10.7%Shot accuracy
11,342MVPs
1,805Hours (in match)
3,915Bombs planted
1,920Bombs defused

Most-used weapons

AK-4722,363
AWP7,151
MP93,021
MAC-102,861
FAMAS2,631

Lifetime map wins

10,179inferno
8,859nuke
4,475vertigo
2,805dust2
1,417office
1,354train
137cbble
108lake

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

Faceit stats

Combat

302Matches
51%Win rate
1.02Avg K/D
74.5ADR
41%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5054%0.9413.4
Nuke4267%1.1715.1
Ancient3656%0.9614.5
Anubis3250%1.0015.7
Mirage3241%0.9114.8
Dust22143%0.8012.6
Vertigo1656%1.1917.2
Train944%0.6911.3

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.

13.9%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.3%Spray accuracy
74.0%Counter-strafing
10.8°Preaim
556msReaction time
68.4%T opening success
38.4%CT opening success
0.45Enemies flashed / flash
10.5%Flash assists
9.75HE damage / grenade
4.69Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9364% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4515 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.4381% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.055%27 Oct →
cache10–13-0.0512%27 Oct →
ancient3–13-0.109%26 Oct →
anubis11–13-0.038%26 Oct →
anubis13–50.0418%26 Oct →
nuke9–130.0115%26 Oct →
nuke13–10-0.0215%26 Oct →
cache12–12-0.0819%26 Oct →
cache9–13-0.0612%26 Oct →
cache13–11-0.0522%26 Oct →
anubis13–60.0313%23 Oct →
nuke13–4-0.0014%23 Oct →
mirage3–13-0.066%21 Oct →
ancient13–7-0.0213%19 Oct →
cache13–4-0.0224%19 Oct →
nuke12–12-0.0317%19 Oct →
cache11–13-0.0512%19 Oct →
inferno6–13-0.0318%19 Oct →
cache3–130.0221%19 Oct →
mirage13–110.058%18 Oct →
anubis13–90.0311%18 Oct →
ancient13–10-0.0116%18 Oct →
nuke13–100.0415%18 Oct →
cache13–60.0220%18 Oct →
ancient7–13-0.0411%15 Oct →
mirage13–70.0210%15 Oct →
nuke13–60.0412%15 Oct →
anubis15–150.0314%13 Oct →
cache13–70.0013%13 Oct →
anubis13–110.0817%13 Oct →
nuke3–13-0.0818%13 Oct →
nuke11–130.0118%29 Sept →
nuke13–60.1023%23 Sept →
mirage13–90.0318%22 Sept →
inferno10–13-0.0315%22 Sept →
mirage13–8-0.0315%20 Sept →
anubis9–13-0.058%19 Sept →
inferno8–130.0115%18 Aug →
anubis6–13-0.017%20 Jul →
nuke13–6-0.0021%20 Jul →
anubis12–160.0414%27 Jun →
inferno15–150.0116%24 Jun →
ancient2–13-0.0522%24 Jun →
nuke13–10-0.0016%24 Jun →
mirage14–160.008%18 Jun →
anubis9–130.1410%18 Jun →
inferno4–130.0417%16 Jun →
overpass5–13-0.0215%16 Jun →
vertigo1–13-0.098%14 Jun →
office12–12-0.0211%14 Jun →
cache13–20.0511%14 Jun →
inferno13–110.0611%13 Jun →
nuke10–130.0113%13 Jun →
anubis13–100.129%8 Jun →
nuke15–150.0916%8 Jun →
overpass13–8-0.0413%7 Jun →
mirage13–40.075%7 Jun →
ancient7–130.0520%7 Jun →
dust25–13-0.066%7 Jun →
inferno5–13-0.0523%7 Jun →
anubis10–130.0228%7 Jun →
office12–12-0.039%6 Jun →
anubis13–90.0413%6 Jun →
cache13–100.0410%4 Jun →
cache4–13-0.073%3 Jun →
nuke13–6-0.0317%3 Jun →
vertigo13–40.0524%2 Jun →
mirage13–50.018%1 Jun →
dust28–13-0.0122%1 Jun →
inferno13–110.1513%31 May →
nuke13–40.1422%31 May →
inferno13–8-0.0111%30 May →
inferno10–13-0.0115%25 May →
train4–130.0120%25 May →
inferno3–13-0.053%25 May →
vertigo13–80.1016%24 May →
inferno9–13-0.088%24 May →
inferno4–60.0217%24 May →
train8–13-0.0322%24 May →
nuke15–150.0517%16 May →
overpass5–13-0.047%16 May →
overpass13–7-0.0422%15 May →
nuke13–80.0110%15 May →
overpass2–13-0.0120%15 May →
inferno13–80.0716%14 May →
dust213–90.0323%14 May →
dust213–10-0.009%14 May →
overpass11–13-0.0016%6 May →
nuke13–11-0.0114%6 May →
cache13–11-0.0121%6 May →
cache8–130.0116%3 May →
cache10–13-0.1017%3 May →
cache12–12-0.0520%3 May →
cache13–5-0.0114%3 May →
mirage9–130.0521%24 Apr →
overpass13–40.0714%22 Apr →
ancient4–13-0.0418%16 Apr →
ancient5–13-0.0424%16 Apr →
anubis13–100.0313%14 Apr →
anubis12–16-0.0312%6 Apr →

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.