nolkz

nolkz — CS2 Stats

76561198800332820[U:1:840067092]Steam profile ↗✓ No bans

2,443Tracked matches50%Win rate2020Tracked since
29,734Hours in CS
CSDB Rating6.5 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 2,443
+3.3ppWin rate · 46.7% → 50.0%

Rating over time

Premier CS Rating: 32,205 +0 10 Sept – 27 Sept · 10 days played
32,20532,205peak 32,20510 Sept27 Sept
32,205Peak Premier in tracked matches
46Days played since 2025-09-10

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches208+12
Win rate55%75%−20pp
K/D0.750.92−0.17
Headshot %62%59%+3pp

Measured 2 Oct 2026 → 11 Oct 2026; previous 27 Sep 2026 → 2 Oct 2026.

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 Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate63.5%50.9%
Shot accuracy20.4%13.7%
Kill/death ratio0.991.09
Match win rate64.8%48.4%

Share this profile

CSDB.GGnolkzFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning62
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWLLWLLWLW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −3.7pp headshot accuracy · −27ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 482ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 496ms

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 (+1.3 against its own average).

Aim8.8
Utility5.3
Positioning6.2
Opening Duels4.2
Clutch4.0

Sharp aimer

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 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: 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

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 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning6.2
Utility5.3
Mechanics6.3
Opening Duels3.4
Win Impact5.0

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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time488ms−89ms
first ⅓ avg 577ms → last ⅓ avg 488ms
Headshot accuracy23.1%−2.5%
first ⅓ avg 25.5% → last ⅓ avg 23.1%

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

0.18Best match rating · 13–1 · ancient, 17 Jan →
44%Best headshot accuracy · 13–1 · mirage, 12 May →
359msFastest reaction time · 9–13 · inferno, 19 Sept →
13–0Biggest win · anubis, 18 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 67% over 12infernoWeakest map · 7% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.01
dust2A1810–856%0.03
ancientA1811–761%-0.00
infernoD151–147%-0.02
anubisS128–467%-0.00
nukeD51–420%-0.02
cache—32–167%0.02
train—32–167%-0.01
overpass—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

643,156Lifetime kills
0.99K/D
12,972Matches
64.8%Match win rate · Top 5% of Level 10 players
63.5%Headshot % · Top 10% of Level 10 players
20.4%Shot accuracy · Top 5% of Level 10 players
47,709MVPs
29,734Hours (in match)
9,400Bombs planted
3,925Bombs defused

Most-used weapons

AK-47326,669
AWP27,945
SG 55310,899
Glock-1810,682
Knife9,674
AUG6,521

Lifetime map wins

24,835dust2
16,465vertigo
13,526inferno
11,386nuke
10,780train
503cbble
18lake
17office

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

Faceit stats

Combat

2,693Matches
64%Win rate
1.32Avg K/D
87.0ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
17Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage94161%1.3018.0
Anubis25762%1.2416.7
Dust220559%1.2517.4
Ancient19258%1.2316.2
Nuke6970%1.2217.8
Vertigo3571%1.3519.8
Inferno2955%1.2115.8
Overpass2273%1.6019.9

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.

23.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.4%Spray accuracy
78.6%Counter-strafing
9.3°Preaim
488msReaction time
35.4%T opening success
52.1%CT opening success
0.41Enemies flashed / flash
7.4%Flash assists
7.21HE damage / grenade
9.31Flashes / 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 0.4131 — 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 35.4074% — 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.

7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0538%10 Oct →
mirage13–60.1626%28 Sept →
mirage11–130.0011%25 Sept →
dust26–130.1018%25 Sept →
mirage13–8-0.0127%20 Sept →
cache6–13-0.0618%20 Sept →
ancient8–130.0225%19 Sept →
dust213–7-0.019%19 Sept →
inferno9–13-0.0712%19 Sept →
cache13–70.0523%18 Sept →
mirage13–8-0.0127%18 Sept →
dust213–80.0420%15 Aug →
mirage13–110.0626%15 Aug →
ancient7–13-0.0420%14 Aug →
dust21–13-0.0738%14 Aug →
mirage13–4-0.0425%10 Aug →
ancient16–13-0.0430%10 Aug →
inferno10–13-0.0515%10 Aug →
nuke13–160.0423%9 Aug →
inferno6–13-0.0418%9 Aug →
dust213–5-0.0040%8 Aug →
ancient13–2-0.0217%8 Aug →
inferno10–13-0.0520%8 Aug →
ancient8–13-0.0429%7 Aug →
anubis8–130.0130%7 Aug →
ancient16–14-0.0621%3 Aug →
anubis13–60.0226%3 Aug →
mirage8–13-0.0620%3 Aug →
ancient13–20.0614%16 Jul →
nuke10–13-0.0433%16 Jul →
inferno9–130.0223%16 Jul →
inferno7–130.0328%6 Jul →
anubis2–13-0.0511%6 Jul →
dust213–10-0.0123%6 Jul →
mirage13–90.0726%5 Jul →
anubis11–13-0.0729%4 Jul →
ancient13–11-0.0123%4 Jul →
nuke13–80.0122%4 Jul →
dust26–13-0.0025%27 Jun →
nuke14–16-0.0619%27 Jun →
cache13–40.0524%25 Jun →
ancient13–110.1129%22 Jun →
mirage7–130.0119%22 Jun →
mirage13–50.0621%21 Jun →
mirage13–5-0.0215%16 Jun →
dust213–100.0529%11 Jun →
ancient13–11-0.0218%3 Jun →
nuke10–13-0.0325%2 Jun →
mirage13–6-0.0039%31 May →
inferno13–30.0719%31 May →
mirage11–13-0.0231%21 May →
inferno8–13-0.0221%21 May →
ancient12–50.0331%21 May →
dust213–60.1729%21 May →
inferno13–16-0.0118%21 May →
ancient13–8-0.0215%19 May →
inferno3–13-0.0719%19 May →
anubis5–13-0.035%19 May →
dust213–10.1538%18 May →
anubis13–2-0.0710%18 May →
ancient4–13-0.0519%17 May →
inferno10–13-0.0133%17 May →
dust29–13-0.0037%16 May →
anubis13–80.0316%16 May →
mirage11–13-0.0414%16 May →
anubis13–70.0119%16 May →
dust213–7-0.0215%16 May →
mirage9–13-0.0233%16 May →
dust210–13-0.0124%15 May →
inferno6–13-0.0328%15 May →
mirage13–100.0123%15 May →
anubis13–9-0.0211%13 May →
mirage2–13-0.0120%13 May →
ancient7–13-0.0718%13 May →
dust213–60.0431%13 May →
ancient13–40.019%13 May →
mirage13–110.0430%13 May →
dust210–130.0337%12 May →
mirage13–10.0744%12 May →
anubis13–60.0429%12 May →
anubis13–00.0332%18 Apr →
ancient10–13-0.0135%23 Mar →
mirage15–19-0.0718%23 Mar →
ancient7–13-0.0630%20 Mar →
inferno8–13-0.0128%20 Mar →
mirage13–100.0428%5 Mar →
mirage13–60.0816%7 Feb →
anubis14–70.0327%18 Jan →
ancient13–10.1811%17 Jan →
train13–70.0325%12 Oct →
inferno3–13-0.074%12 Oct →
dust211–130.0239%12 Oct →
dust25–13-0.0336%10 Oct →
train16–14-0.0115%10 Oct →
overpass13–60.0425%10 Oct →
mirage5–130.0023%8 Oct →
train7–13-0.0525%8 Oct →
inferno5–13-0.0026%7 Oct →
mirage6–13-0.0727%7 Oct →
dust213–40.0336%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.