noisy

noisy — CS2 Stats

NO76561198006516001[U:1:46250273]Steam profile ↗✓ No bans

1,506Tracked matches60%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
FaceitLevel 7 · 1,261 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,261 → 1,261
+10Tracked matches · now 1,506
+3.3ppWin rate · 56.7% → 60.0%

Rating over time

1,261Highest Faceit ELO seen on CSDB
33Days played since 2026-07-12

Faceit ELO

  • At peak — 1,261
  • Next: Level 7 at 1,351 — 90 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-09
  • Level 5 first seen 2026-09-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGnoisyFACEITLevel 7 · 1,261 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,261csdb.gg/stats

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Performance scores

Aim64
Positioning51
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWLWLLWWWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · +64ms 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 25%
  • Avg reaction 550ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 591ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

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 (+1.4 against its own average).

Aim6.4
Utility5.5
Positioning5.1
Opening Duels2.2
Clutch3.6

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 83% 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 →

CSDB Rating breakdown

Aim6.4
Positioning5.1
Utility5.5
Mechanics5.5
Opening Duels3.2
Win Impact8.3

Composite 5.2/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time547ms−19ms
first ⅓ avg 566ms → last ⅓ avg 547ms
Headshot accuracy18.9%−3.4%
first ⅓ avg 22.3% → last ⅓ avg 18.9%

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.

Personal bests

0.13Best match rating · 13–3 · cache, 26 Sept →
45%Best headshot accuracy · 13–3 · cache, 26 Sept →
406msFastest reaction time · 7–13 · anubis, 29 Aug →
13–2Biggest win · cache, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–12In matches decided by ≤2 rounds
18Overtime games

Map breakdown

infernoBest map · 56% over 27nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%0.02
cacheA2011–955%0.01
anubisC146–843%0.01
mirageB137–654%0.01
ancientB126–650%-0.02
dust2B84–450%-0.01
nukeC52–340%-0.01
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,186Matches
50%Win rate
1.14Avg K/D
78.3ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno9254%1.2117.0
Mirage7046%1.1616.2
Anubis6445%1.1716.8
Dust24035%1.0015.6
Ancient2959%1.0415.9
Nuke2752%1.1216.1
Cache2467%1.1915.1
Vertigo933%1.1117.1

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.

17.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.0%Spray accuracy
74.9%Counter-strafing
9.2°Preaim
542msReaction time
48.3%T opening success
37.1%CT opening success
0.51Enemies flashed / flash
1.2%Flash assists
8.58HE damage / grenade
8.92Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.1051% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0012%27 Sept →
ancient8–130.0228%27 Sept →
cache13–30.1345%26 Sept →
anubis14–160.0425%26 Sept →
cache2–13-0.0413%26 Sept →
mirage13–50.097%21 Sept →
anubis13–5-0.0415%21 Sept →
mirage13–9-0.0219%20 Sept →
ancient13–5-0.0318%20 Sept →
anubis12–16-0.0315%20 Sept →
anubis13–90.0821%1 Sept →
ancient6–13-0.0638%1 Sept →
inferno13–11-0.0219%1 Sept →
cache13–30.0618%30 Aug →
mirage13–30.0319%30 Aug →
anubis13–70.0130%30 Aug →
inferno7–13-0.0115%30 Aug →
cache13–8-0.040%30 Aug →
dust213–90.0413%29 Aug →
anubis8–13-0.0119%29 Aug →
inferno9–13-0.0411%29 Aug →
cache13–7-0.0614%29 Aug →
anubis7–130.0110%29 Aug →
inferno13–70.1017%24 Aug →
ancient16–14-0.0715%24 Aug →
nuke3–13-0.0913%24 Aug →
inferno13–80.117%23 Aug →
cache4–13-0.0514%23 Aug →
cache13–110.0323%23 Aug →
inferno9–130.0123%23 Aug →
inferno13–80.0934%22 Aug →
ancient11–13-0.0425%22 Aug →
inferno16–120.0828%22 Aug →
inferno13–60.0217%20 Aug →
ancient7–13-0.0316%20 Aug →
anubis13–110.0610%18 Aug →
mirage1–13-0.0713%18 Aug →
inferno14–160.0625%18 Aug →
cache4–13-0.0521%18 Aug →
cache13–50.0323%18 Aug →
cache13–100.0415%17 Aug →
inferno13–80.0312%16 Aug →
anubis13–8-0.0110%15 Aug →
ancient13–30.0228%15 Aug →
dust25–13-0.0716%15 Aug →
inferno14–16-0.0029%15 Aug →
anubis11–130.0322%15 Aug →
inferno13–160.0221%15 Aug →
dust27–130.0013%15 Aug →
inferno16–14-0.0524%11 Aug →
inferno13–110.0423%10 Aug →
ancient19–170.0221%10 Aug →
mirage9–13-0.0418%10 Aug →
inferno13–10-0.0418%9 Aug →
anubis6–13-0.0412%9 Aug →
inferno5–13-0.0615%9 Aug →
inferno14–160.0620%8 Aug →
anubis8–13-0.0711%8 Aug →
inferno13–70.0841%8 Aug →
cache13–9-0.0228%8 Aug →
dust28–13-0.0322%5 Aug →
inferno13–70.1024%5 Aug →
inferno11–130.0317%4 Aug →
cache13–20.0218%4 Aug →
inferno11–130.0117%4 Aug →
cache9–130.0724%4 Aug →
inferno19–170.0419%3 Aug →
ancient7–13-0.0833%3 Aug →
anubis13–20.110%3 Aug →
nuke11–13-0.0417%3 Aug →
dust213–100.0113%1 Aug →
mirage13–50.0922%1 Aug →
cache13–6-0.0623%1 Aug →
inferno16–14-0.0223%1 Aug →
nuke13–30.1019%1 Aug →
anubis4–13-0.0221%1 Aug →
mirage25–230.0124%30 Jul →
inferno7–90.0126%30 Jul →
mirage13–16-0.0115%29 Jul →
cache10–130.0221%29 Jul →
cache5–13-0.0526%28 Jul →
dust213–16-0.0413%25 Jul →
dust213–90.0124%25 Jul →
inferno11–13-0.0630%25 Jul →
mirage13–16-0.0210%19 Jul →
ancient13–9-0.0118%18 Jul →
cache6–13-0.0538%15 Jul →
mirage13–3-0.0121%15 Jul →
nuke9–13-0.0616%14 Jul →
dust213–110.0227%14 Jul →
mirage13–30.0624%14 Jul →
cache10–130.0326%13 Jul →
mirage6–130.0720%13 Jul →
overpass13–4-0.0230%13 Jul →
cache13–160.0620%13 Jul →
ancient13–90.0438%12 Jul →
cache13–90.0221%12 Jul →
ancient9–13-0.0619%12 Jul →
nuke16–140.0523%12 Jul →
mirage11–13-0.0338%12 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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