amoK-

amoK- — CS2 Stats

DE76561198015812183[U:1:55546455]Steam profile ↗✓ No bans

1,269Tracked matches63%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating11,003Blue band · top ~49.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 11,003 +2,413 27 Aug – 25 Oct · 23 days played
8,31611,825peak 11,82527 Aug25 Oct
11,825Peak Premier in tracked matches
37Days played since 2026-07-08

Premier CS Rating

  • 822 below peak (11,825)
  • +2,090 over 30 days · improving
  • Next: Purple band at 15,000 — 3,997 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-21

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

Share this profile

CSDB.GGamoK-FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER11,003 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLWLLLWWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.9pp headshot accuracy · −69ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 569ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

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 (+1.3 against its own average).

Aim4.6
Utility5.5
Positioning4.6
Opening Duels1.5
Clutch5.2

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 73% 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. 614ms 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

Aim4.6
Positioning4.6
Utility5.5
Mechanics5.6
Opening Duels2.2
Win Impact9.4

Composite 4.9/10 (Developing), 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 -0.03 → last ⅓ avg -0.02
Reaction time618ms−55ms
first ⅓ avg 673ms → last ⅓ avg 618ms
Headshot accuracy14.3%−0.7%
first ⅓ avg 15.0% → last ⅓ avg 14.3%

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

0.11Best match rating · 6–0 · vertigo, 5 Sept →
35%Best headshot accuracy · 13–1 · inferno, 20 Sept →
469msFastest reaction time · 11–13 · inferno, 24 Oct →
13–0Biggest win · cache, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
3–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 62% over 13nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.01
infernoC188–1044%-0.03
cacheA138–562%-0.01
anubisC114–736%-0.02
nukeD92–722%-0.05
ancientB63–350%-0.02
mirageD62–433%-0.03
fachwerk—31–233%-0.06
vertigo—33–0100%0.04
boulder—21–150%0.03
shelter—21–150%-0.01
overpass—10–10%-0.05
train—10–10%-0.05
office—10–10%-0.06
warden—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

521Matches
50%Win rate
0.96Avg K/D
75.0ADR
38%Headshot %

Clutches & streaks

46%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust26557%1.0814.5
Anubis4055%0.8613.1
Inferno2446%0.9915.7
Ancient1638%0.7313.1
Nuke1155%1.1014.3
Mirage367%0.749.7

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.

14.0%Headshot accuracy
31.1%Accuracy (enemy spotted)
30.0%Spray accuracy
75.0%Counter-strafing
10.3°Preaim
614msReaction time
38.6%T opening success
38.8%CT opening success
0.65Enemies flashed / flash
7.5%Flash assists
8.11HE damage / grenade
6.14Flashes / 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 13.9548% — below the 15% mark we flag

    Aim Training →
  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 38.5667% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.107%25 Oct →
ancient7–13-0.0515%24 Oct →
cache13–40.0322%24 Oct →
inferno11–13-0.059%24 Oct →
nuke4–13-0.0214%22 Oct →
cache8–130.009%22 Oct →
cache13–2-0.0311%22 Oct →
dust213–6-0.0227%21 Oct →
mirage13–10-0.0212%19 Oct →
mirage6–130.008%19 Oct →
cache13–20.0518%19 Oct →
cache13–8-0.0420%18 Oct →
dust211–13-0.0513%18 Oct →
dust213–50.0715%18 Oct →
mirage16–14-0.0017%17 Oct →
anubis13–6-0.0314%17 Oct →
nuke11–7-0.0516%17 Oct →
dust213–40.0324%17 Oct →
ancient4–13-0.086%17 Oct →
nuke14–16-0.0418%16 Oct →
cache11–13-0.0610%14 Oct →
dust213–5-0.056%14 Oct →
anubis13–4-0.045%11 Oct →
nuke13–9-0.036%11 Oct →
cache13–00.0530%11 Oct →
anubis10–130.0212%7 Oct →
inferno13–5-0.0314%7 Oct →
cache13–50.0322%7 Oct →
fachwerk13–11-0.129%4 Oct →
boulder13–50.0216%4 Oct →
shelter13–10-0.0119%4 Oct →
fachwerk11–13-0.0016%3 Oct →
cache13–80.0011%3 Oct →
overpass5–13-0.0513%3 Oct →
nuke12–12-0.0720%2 Oct →
vertigo13–6-0.0412%2 Oct →
dust213–60.0416%30 Sept →
dust213–1-0.0214%30 Sept →
anubis7–13-0.0310%30 Sept →
dust210–13-0.0413%30 Sept →
shelter11–13-0.0118%28 Sept →
fachwerk11–13-0.0516%28 Sept →
boulder8–130.0315%28 Sept →
dust210–13-0.049%26 Sept →
anubis15–15-0.0126%26 Sept →
dust213–70.0523%26 Sept →
nuke10–13-0.0619%26 Sept →
mirage0–13-0.0810%26 Sept →
dust29–13-0.0220%24 Sept →
inferno13–6-0.0317%24 Sept →
ancient13–90.047%20 Sept →
dust210–13-0.0313%20 Sept →
inferno13–10.0635%20 Sept →
inferno14–16-0.0610%13 Sept →
inferno16–12-0.0417%13 Sept →
nuke8–13-0.0222%13 Sept →
train11–13-0.056%12 Sept →
inferno10–13-0.0024%9 Sept →
inferno10–13-0.0610%8 Sept →
anubis13–70.0110%8 Sept →
dust25–13-0.0822%7 Sept →
ancient6–13-0.0018%7 Sept →
inferno16–14-0.0312%6 Sept →
anubis14–16-0.0414%6 Sept →
cache9–13-0.0110%5 Sept →
vertigo6–00.1132%5 Sept →
cache8–13-0.0319%4 Sept →
dust212–120.0417%4 Sept →
office10–13-0.0612%4 Sept →
vertigo13–60.0410%4 Sept →
dust29–13-0.0011%2 Sept →
anubis8–13-0.069%2 Sept →
ancient16–13-0.068%27 Aug →
dust25–13-0.0417%27 Aug →
inferno11–13-0.0016%27 Aug →
nuke7–13-0.0823%26 Aug →
dust29–13-0.0524%26 Aug →
cache10–6-0.0417%26 Aug →
dust23–13-0.0021%23 Aug →
anubis13–10-0.0113%23 Aug →
inferno5–13-0.0013%23 Aug →
dust213–80.0020%10 Aug →
dust28–13-0.0314%10 Aug →
inferno13–50.0314%10 Aug →
mirage10–13-0.0114%10 Aug →
dust213–9-0.037%10 Aug →
ancient13–30.0115%10 Aug →
inferno2–13-0.104%8 Aug →
dust213–16-0.0116%8 Aug →
dust213–90.0017%8 Aug →
inferno9–13-0.0325%31 Jul →
mirage0–13-0.059%31 Jul →
nuke5–13-0.0316%31 Jul →
anubis5–13-0.0119%31 Jul →
inferno13–1-0.0517%31 Jul →
anubis8–13-0.0612%28 Jul →
inferno13–9-0.0221%28 Jul →
inferno2–13-0.0510%24 Jul →
warden11–130.0113%8 Jul →
cache0–13-0.1122%8 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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