Níkull

Níkull — CS2 Stats

DE76561199131985042[U:1:1171719314]Steam profile ↗✓ No bans

509Tracked matches55%Win rate2023Tracked since
1,279Hours in CS61Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating12,289Blue band · top ~42.8% of ranked players (population est.)
FaceitLevel 3 · 809 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 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: 12,289 +1,610 30 Sept – 31 Oct · 22 days played
8,97613,011peak 13,01130 Sept31 Oct
13,405Peak Premier in tracked matches
809Highest Faceit ELO seen on CSDB
24Days played since 2026-09-30

Faceit ELO

  • At peak — 809
  • Next: Level 4 at 901 — 92 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 722 below peak (13,011)
  • +1,610 over 30 days · improving
  • Next: Purple band at 15,000 — 2,711 to go
  • Reached: 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 Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.0%41.8%42.7%5.7% short
Shot accuracy6.9%12.2%11.2%4.3% short
Kill/death ratio1.070.980.99above
Match win rate46.6%43.3%43.9%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNíkullFACEITLevel 3 · 809 ELOSTANDINGTop 90.6% of rankedPREMIER12,289 · Blue bandPEAK ELO809csdb.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

Aim79
Positioning59
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLLLWWLLWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.9pp headshot accuracy · +70ms 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 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 583ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

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).

Aim7.9
Utility4.3
Positioning5.9
Opening Duels3.3
Clutch4.6

Strong CT-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

jL

Plays most like jL 97% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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.

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

Aim7.9
Positioning5.9
Utility4.3
Mechanics4.9
Opening Duels5.5
Win Impact6.7

Composite 5.8/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time535ms+4ms
first ⅓ avg 531ms → last ⅓ avg 535ms
Headshot accuracy13.0%−0.5%
first ⅓ avg 13.5% → last ⅓ avg 13.0%

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

0.26Best match rating · 13–6 · dust2, 10 Oct →
27%Best headshot accuracy · 13–6 · mirage, 20 Oct →
406msFastest reaction time · 13–16 · cache, 22 Oct →
13–1Biggest win · fachwerk, 31 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 100% over 7ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%0.03
mirageB1910–953%0.02
cacheB189–950%0.03
nukeB147–750%0.02
ancientC114–736%0.03
infernoB105–550%0.07
anubisS77–0100%0.05
fachwerk—11–0100%-0.02
office—11–0100%0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,586Lifetime kills
1.07K/D · Top 50% of Level 3 players
1,692Matches
46.6%Match win rate · Top 25% of Level 3 players
37.0%Headshot %
6.9%Shot accuracy
3,300MVPs
659Hours (in match)
2,067Bombs planted
422Bombs defused

Most-used weapons

Lifetime map wins

3,385dust2
2,316inferno
1,603nuke
710vertigo
392office
187train
59cbble
21ar_shoots

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

Faceit stats

Combat

66Matches
48%Win rate
1.24Avg K/D
83.5ADR
31%Headshot %

Clutches & streaks

43%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21443%1.5215.5
Anubis771%1.3617.7
Ancient633%0.8815.8
Inferno560%1.1615.8
Mirage520%0.8913.8
Cache475%0.9914.0
Nuke367%1.6615.7
Vertigo1100%6.6720.0

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.

13.0%Headshot accuracy
40.0%Accuracy (enemy spotted)
40.5%Spray accuracy
71.9%Counter-strafing
7.3°Preaim
532msReaction time
50.4%T opening success
53.2%CT opening success
0.53Enemies flashed / flash
1.6%Flash assists
8.78HE damage / grenade
3.63Flashes / 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 12.9824% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6288 — below the 4 mark we flag

    Grenade Lineups →
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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0410%31 Oct →
cache11–130.0822%31 Oct →
inferno13–160.059%31 Oct →
ancient5–13-0.0114%31 Oct →
cache13–60.0123%31 Oct →
fachwerk13–1-0.0217%31 Oct →
dust28–13-0.097%31 Oct →
ancient10–130.035%31 Oct →
cache13–100.057%31 Oct →
mirage13–70.098%30 Oct →
mirage9–130.005%30 Oct →
dust211–13-0.0014%30 Oct →
dust212–120.0315%30 Oct →
dust210–10.079%30 Oct →
mirage13–90.0717%30 Oct →
anubis13–90.0210%30 Oct →
mirage4–13-0.0814%30 Oct →
cache13–110.127%30 Oct →
dust213–110.0027%30 Oct →
nuke13–100.0214%30 Oct →
inferno13–70.0710%30 Oct →
nuke3–13-0.0214%30 Oct →
dust210–130.0212%30 Oct →
mirage8–130.0423%30 Oct →
dust213–80.0612%29 Oct →
anubis13–110.0210%29 Oct →
cache11–130.0026%29 Oct →
inferno10–130.106%29 Oct →
dust28–50.0013%29 Oct →
anubis13–9-0.029%29 Oct →
cache13–2-0.0511%29 Oct →
anubis13–10.178%29 Oct →
inferno9–130.1721%29 Oct →
nuke16–130.0411%28 Oct →
ancient13–110.0911%28 Oct →
dust213–160.0314%28 Oct →
mirage13–80.0916%28 Oct →
anubis13–80.0518%28 Oct →
inferno13–30.075%28 Oct →
office13–90.1310%28 Oct →
cache13–70.068%28 Oct →
nuke11–130.0416%27 Oct →
nuke11–13-0.0113%25 Oct →
nuke13–100.0420%25 Oct →
mirage13–100.0113%25 Oct →
anubis13–100.007%25 Oct →
mirage7–13-0.056%24 Oct →
mirage3–80.0113%24 Oct →
cache5–130.037%23 Oct →
dust213–80.008%23 Oct →
cache11–130.0612%22 Oct →
mirage7–13-0.064%22 Oct →
cache13–160.0114%22 Oct →
mirage13–60.1114%22 Oct →
cache5–13-0.0521%21 Oct →
mirage13–110.0915%21 Oct →
cache13–20.0714%21 Oct →
mirage13–10-0.017%21 Oct →
dust26–13-0.0113%21 Oct →
mirage4–130.0116%21 Oct →
dust29–13-0.0814%20 Oct →
mirage13–60.0727%20 Oct →
inferno9–5-0.0419%19 Oct →
ancient7–130.068%19 Oct →
ancient16–14-0.0421%15 Oct →
mirage16–13-0.0312%15 Oct →
anubis13–100.089%15 Oct →
dust213–100.0511%14 Oct →
nuke8–130.0416%14 Oct →
nuke11–13-0.0110%14 Oct →
cache10–130.0621%14 Oct →
dust210–130.0413%11 Oct →
ancient14–160.0210%11 Oct →
mirage3–13-0.0213%11 Oct →
dust213–90.0227%11 Oct →
dust213–60.2613%10 Oct →
nuke13–10.0812%10 Oct →
mirage11–13-0.026%9 Oct →
mirage13–80.0610%9 Oct →
cache4–13-0.048%9 Oct →
cache11–13-0.0214%9 Oct →
dust211–130.039%9 Oct →
ancient13–110.0414%8 Oct →
ancient13–10.1019%8 Oct →
nuke13–80.0813%8 Oct →
dust213–30.0819%8 Oct →
nuke13–9-0.0416%8 Oct →
cache13–60.0613%8 Oct →
dust210–130.0016%6 Oct →
inferno13–50.0721%5 Oct →
nuke13–40.1010%5 Oct →
ancient10–13-0.0015%4 Oct →
inferno10–130.109%4 Oct →
ancient11–130.1311%3 Oct →
cache13–70.0711%3 Oct →
nuke4–13-0.049%3 Oct →
inferno16–130.0820%2 Oct →
nuke4–130.0213%30 Sept →
inferno8–130.0017%30 Sept →
ancient10–13-0.066%30 Sept →

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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