NaKerTaAkO?

NaKerTaAkO? — CS2 Stats

76561197982349030[U:1:22083302]Steam profile ↗✓ No bans

1,422Tracked matches40%Win rate2020Tracked since
CSDB Rating3.3 LearningSupport
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (5 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: 10,000 -1,014 25 Jul – 8 Oct · 54 days played
7,52511,431peak 11,43125 Jul8 Oct
Faceit ELO: 1,059 +0 30 Aug – 20 Sept · 2 observations
1,0591,059peak 1,05930 Aug20 Sept
11,680Peak Premier in tracked matches
1,059Highest Faceit ELO seen on CSDB
52Days played since 2026-07-25

Premier CS Rating

  • 1,431 below peak (11,431)
  • +1,163 over 30 days · improving
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNaKerTaAkO?FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,000 · Blue bandPEAK ELO1,059csdb.gg/stats

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Performance scores

Aim28
Positioning46
Utility63

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateLWLWLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.6pp headshot accuracy · −2ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 649ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 662ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 663ms

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: Support — Utility contribution stands above the rest of this profile (+3.4 against its own average).

Aim2.8
Utility6.3
Positioning4.6
Opening Duels0.0
Clutch0.8

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

Twistzz

Plays most like Twistzz 54% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning4.6
Utility6.3
Mechanics3.4
Opening Duels0.7
Win Impact1.7

Composite 3.3/10 (Learning), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time639ms−75ms
first ⅓ avg 714ms → last ⅓ avg 639ms
Headshot accuracy15.6%−0.8%
first ⅓ avg 16.4% → last ⅓ avg 15.6%

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

0.14Best match rating · 13–2 · mirage, 31 Jul →
35%Best headshot accuracy · 13–3 · ancient, 10 Sept →
422msFastest reaction time · 4–13 · dust2, 11 Sept →
13–2Biggest win · mirage, 31 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 56% over 16mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoD185–1328%-0.01
dust2C177–1041%-0.02
nukeA169–756%-0.02
ancientB158–753%-0.02
anubisB126–650%-0.02
mirageD122–1017%-0.02
cacheD103–730%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

173Matches
50%Win rate
0.87Avg K/D
70.8ADR
41%Headshot %

Clutches & streaks

24%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2763%0.9014.6
Nuke2665%0.9413.5
Mirage2335%0.7313.4
Inferno1942%1.1513.7
Dust21828%0.7411.6
Ancient1436%0.7612.7
Train4100%1.1212.3
Overpass367%1.3616.3

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.

15.4%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.2%Spray accuracy
65.4%Counter-strafing
12.8°Preaim
649msReaction time
33.8%T opening success
32.1%CT opening success
0.55Enemies flashed / flash
4.1%Flash assists
9.47HE damage / grenade
9.82Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.812° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Mirage

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.105%8 Oct →
inferno13–50.0819%8 Oct →
cache11–13-0.0415%7 Oct →
ancient13–4-0.072%7 Oct →
ancient10–13-0.0521%3 Oct →
anubis0–13-0.0830%3 Oct →
cache11–13-0.0810%2 Oct →
mirage6–13-0.1014%2 Oct →
anubis8–13-0.0916%2 Oct →
dust29–13-0.0214%1 Oct →
anubis13–6-0.0219%1 Oct →
dust28–13-0.057%30 Sept →
cache13–60.0510%29 Sept →
dust210–13-0.0510%29 Sept →
inferno6–13-0.0819%27 Sept →
inferno13–70.0718%27 Sept →
dust213–90.0223%27 Sept →
dust25–13-0.0630%26 Sept →
cache10–13-0.0114%26 Sept →
mirage8–13-0.064%25 Sept →
nuke13–11-0.0021%25 Sept →
inferno6–130.0214%25 Sept →
ancient13–100.0522%23 Sept →
dust213–30.1229%23 Sept →
dust213–9-0.082%23 Sept →
mirage7–13-0.0418%23 Sept →
nuke3–13-0.0719%22 Sept →
anubis13–110.0217%18 Sept →
nuke13–5-0.0410%18 Sept →
dust25–13-0.0618%17 Sept →
inferno13–70.0119%17 Sept →
anubis13–100.0413%16 Sept →
dust213–30.0913%14 Sept →
anubis13–9-0.0115%13 Sept →
ancient13–8-0.0821%11 Sept →
nuke9–13-0.0520%11 Sept →
dust24–13-0.0833%11 Sept →
ancient13–90.0126%11 Sept →
ancient13–30.0335%10 Sept →
inferno4–13-0.058%9 Sept →
dust25–13-0.0213%7 Sept →
ancient13–6-0.0117%3 Sept →
mirage6–13-0.0523%3 Sept →
inferno3–13-0.0317%2 Sept →
mirage9–13-0.0516%2 Sept →
cache9–13-0.0522%1 Sept →
anubis10–13-0.0214%1 Sept →
nuke7–13-0.0416%31 Aug →
nuke8–13-0.079%29 Aug →
nuke11–13-0.0513%29 Aug →
nuke2–13-0.0524%28 Aug →
ancient5–13-0.0515%28 Aug →
dust215–150.018%27 Aug →
anubis13–6-0.0313%25 Aug →
mirage11–130.0619%25 Aug →
nuke10–13-0.0720%24 Aug →
nuke13–100.0222%24 Aug →
inferno5–130.0327%24 Aug →
mirage15–150.0011%23 Aug →
inferno5–13-0.013%23 Aug →
ancient8–13-0.0111%23 Aug →
cache15–15-0.0115%21 Aug →
anubis13–10-0.058%21 Aug →
anubis11–13-0.0417%18 Aug →
ancient13–70.0614%17 Aug →
cache13–6-0.0213%16 Aug →
inferno11–13-0.0419%15 Aug →
inferno10–13-0.0317%14 Aug →
mirage12–16-0.0422%13 Aug →
nuke13–5-0.0128%11 Aug →
dust210–13-0.0520%10 Aug →
dust213–60.0120%9 Aug →
dust213–7-0.0311%6 Aug →
anubis6–130.0420%6 Aug →
cache13–110.0714%5 Aug →
mirage5–130.0121%5 Aug →
nuke16–140.1318%5 Aug →
ancient9–13-0.0613%2 Aug →
inferno13–3-0.0018%2 Aug →
dust213–3-0.0010%1 Aug →
ancient5–13-0.0113%1 Aug →
inferno7–13-0.0610%31 Jul →
mirage13–20.1415%31 Jul →
nuke13–10-0.0132%31 Jul →
inferno7–13-0.0414%31 Jul →
cache11–13-0.0618%31 Jul →
mirage13–11-0.0812%30 Jul →
inferno15–15-0.0325%30 Jul →
inferno13–8-0.058%29 Jul →
nuke13–20.0532%29 Jul →
ancient8–13-0.0418%29 Jul →
inferno4–13-0.0710%29 Jul →
anubis4–13-0.0423%29 Jul →
ancient11–13-0.0710%28 Jul →
nuke13–8-0.039%28 Jul →
nuke13–10-0.0315%27 Jul →
cache3–13-0.0514%27 Jul →
inferno11–130.0412%26 Jul →
ancient13–90.027%25 Jul →
mirage11–13-0.0116%25 Jul →

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 →

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