NaKerTaAkO?

NaKerTaAkO? — CS2 Stats

76561197982349030[U:1:22083302]Steam profile ↗

1,374Tracked matches37%Win rate2020Tracked since
CSDB Rating3.4 Learning
Premier CS Rating7,547Light Blue band · top ~66.6% of ranked players (population est.)
CSDB Leaderboard#36409 of 48768 tracked
FaceitLevel 5 · 1,059 ELOTop 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGNaKerTaAkO?FACEITLevel 5 · 1,059 ELOSTANDINGTop 67.6% of rankedPREMIER7,547 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning44
Utility68

0–100 skill scores via Leetify.

Recent form

COLD43516Last 10043%Win rateLLLLTWLLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim3.4
Aggression3.4
Utility6.8
Positioning4.4
Opening Duels1.2
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.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.4
Positioning4.4
Utility6.8
Mechanics4.1
Opening Duels2.1
Win Impact0.7

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time665ms+7ms
first ⅓ avg 658ms → last ⅓ avg 665ms
Headshot accuracy15.9%−0.9%
first ⅓ avg 16.8% → last ⅓ avg 15.9%

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.

Highlights

0.14Best rating — mirage 13–2
132Biggest win — mirage
3Longest win streak
L4Current streak
611In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 67% over 18infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
nukeS1812667%-0.01
dust2A1610663%-0.02
infernoD1631319%-0.02
ancientD1531220%-0.02
cacheB137654%-0.02
mirageC125742%-0.00
anubisD82625%-0.03
overpass21150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno 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.

15.9%Headshot accuracy
29.8%Accuracy (enemy spotted)
35.3%Spray accuracy
68.7%Counter-strafing
12.6°Preaim
653msReaction time
22.7%T opening success
46.6%CT opening success
0.49Enemies flashed / flash
6.9%Flash assists
10.57HE damage / grenade
12.03Flashes / 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 12.6488° — above the 12° 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 0.4871 — below the 0.5 mark we flag

    Grenade Lineups
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.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
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
ancient13–16-0.0311%23 Jul
cache7–13-0.0321%23 Jul
inferno12–16-0.0715%22 Jul
cache13–9-0.100%21 Jul
cache13–60.0325%21 Jul
ancient7–13-0.0010%21 Jul
dust213–100.0611%21 Jul
nuke14–16-0.0213%20 Jul
nuke13–100.0112%20 Jul
ancient7–13-0.0119%20 Jul
nuke16–120.0415%19 Jul
nuke4–13-0.1016%19 Jul
dust213–11-0.0622%18 Jul
cache13–70.0116%18 Jul
dust28–130.019%18 Jul
inferno15–15-0.0016%17 Jul
mirage16–13-0.0713%16 Jul
inferno2–13-0.078%16 Jul
anubis7–13-0.0320%14 Jul
dust210–13-0.0311%14 Jul
dust213–30.0127%13 Jul
inferno4–13-0.055%9 Jul
ancient4–13-0.075%9 Jul
dust213–7-0.018%9 Jul
mirage13–8-0.0224%9 Jul
cache13–5-0.0720%9 Jul
cache2–13-0.0915%9 Jul
cache12–12-0.0813%7 Jul
dust20–4-0.040%7 Jul
cache13–40.0820%7 Jul
overpass13–8-0.0112%6 Jul
dust213–80.0017%6 Jul
anubis4–13-0.0336%6 Jul
anubis6–13-0.0810%4 Jul
ancient7–13-0.0017%4 Jul
mirage7–13-0.047%2 Jul
nuke13–80.019%2 Jul
dust213–11-0.049%1 Jul
nuke13–50.046%1 Jul
dust211–13-0.0315%1 Jul
ancient13–90.0212%30 Jun
mirage13–90.0218%30 Jun
dust213–11-0.048%30 Jun
overpass0–2-0.03100%30 Jun
inferno13–70.0921%30 Jun
ancient7–13-0.0213%29 Jun
mirage9–13-0.0128%29 Jun
nuke13–100.0111%28 Jun

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 →