Noah

Noah — CS2 Stats

VN76561198845659474[U:1:885393746]Steam profile ↗✓ No bans

736Tracked matches69%Win rate2021Tracked since
1,003Hours in CS
CSDB Rating7.7 StrongPositional Player
Premier CS Rating22,731Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47378 of 261517 tracked
FaceitLevel 8 · 889 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (47 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: 22,731 +7,260 25 May – 28 Sept · 28 days played
14,38023,066peak 23,06625 May28 Sept
23,066Peak Premier in tracked matches
889Highest Faceit ELO seen on CSDB
34Days played since 2026-05-25

Faceit ELO

  • At peak — 889
  • Next: Level 4 at 901 — 12 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-25
  • Level 2 first seen 2026-09-25

Premier CS Rating

  • 335 below peak (23,066)
  • +4,008 over 30 days · improving
  • +7,563 over 90 days
  • Next: Red band at 25,000 — 2,269 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-25
  • Purple band first seen 2026-09-25

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate48.2%46.8%48.2%meets
Shot accuracy4.1%13.0%13.2%9.1% short
Kill/death ratio1.161.061.07above
Match win rate47.6%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNoahFACEITLevel 8 · 889 ELOSTANDINGTop 31.2% of rankedPREMIER22,731 · Pink bandPEAK ELO889csdb.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

Aim93
Positioning68
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWLWLWLLWWW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.8pp headshot accuracy · +11ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 473ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 481ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 476ms

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 (+1.5 against its own average).

Aim9.3
Utility4.9
Positioning6.8
Opening Duels5.0
Clutch4.6

Sharp aimer

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

donk

Plays most like donk 92% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

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

Aim9.3
Positioning6.8
Utility4.9
Mechanics7.9
Opening Duels4.6
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.05
first ⅓ avg 0.00 → last ⅓ avg 0.05
Reaction time487ms−185ms
first ⅓ avg 672ms → last ⅓ avg 487ms
Headshot accuracy20.6%+2.7%
first ⅓ avg 17.9% → last ⅓ avg 20.6%

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

0.17Best match rating · 13–5 · dust2, 2 Sept →
67%Best headshot accuracy · 5–13 · anubis, 25 May →
320msFastest reaction time · 8–13 · mirage, 10 Sept →
13–3Biggest win · ancient, 3 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
11–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 82% over 11anubisWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A3622–1461%0.02
anubisD165–1131%0.02
ancientB157–847%0.02
mirageA159–660%0.03
infernoS119–282%0.03
nuke—41–325%-0.01
cache—22–0100%-0.02
italy—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,753Lifetime kills
1.16K/D · Top 50% of Level 8 players
1,613Matches
47.6%Match win rate · Top 50% of Level 8 players
48.2%Headshot % · Top 50% of Level 8 players
4.1%Shot accuracy
3,979MVPs
1,003Hours (in match)
1,552Bombs planted
386Bombs defused

Most-used weapons

AK-4715,712
AWP3,515
P90439
Knife423

Lifetime map wins

4,007dust2
2,271inferno
577nuke
74train
55vertigo
20office
11italy
5cbble

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

Faceit stats

Combat

278Matches
57%Win rate
1.25Avg K/D
80.5ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10867%1.5217.6
Dust24850%1.1115.9
Ancient4349%1.0415.2
Inferno3962%1.1514.3
Anubis2446%1.1115.6
Nuke933%0.8111.9
Overpass560%0.9412.8
Train250%0.8814.5

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.

19.8%Headshot accuracy
39.5%Accuracy (enemy spotted)
36.3%Spray accuracy
85.8%Counter-strafing
5.8°Preaim
472msReaction time
51.6%T opening success
45.5%CT opening success
0.64Enemies flashed / flash
6.1%Flash assists
8.96HE damage / grenade
9.61Flashes / match

Recommended for you

Spend your practice time on Anubis

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0230%28 Sept →
ancient9–13-0.0315%20 Sept →
dust213–60.0114%16 Sept →
mirage8–130.1130%10 Sept →
mirage13–90.0333%8 Sept →
ancient12–160.0320%7 Sept →
dust26–13-0.0318%7 Sept →
ancient13–90.038%6 Sept →
inferno13–110.0723%6 Sept →
cache13–7-0.0210%6 Sept →
mirage16–120.1025%6 Sept →
dust213–11-0.0119%6 Sept →
dust213–40.0420%6 Sept →
dust216–120.0320%6 Sept →
ancient13–40.1110%6 Sept →
inferno13–60.1112%5 Sept →
inferno13–50.1128%5 Sept →
dust215–150.0123%4 Sept →
anubis7–130.0721%4 Sept →
anubis13–70.0631%4 Sept →
ancient13–30.049%3 Sept →
mirage13–9-0.0017%3 Sept →
dust25–130.0810%3 Sept →
mirage13–110.1017%2 Sept →
dust210–130.0120%2 Sept →
anubis13–40.1426%2 Sept →
dust213–50.1725%2 Sept →
dust213–70.1119%30 Aug →
mirage11–130.0219%30 Aug →
dust210–130.0816%23 Aug →
inferno13–10-0.0137%23 Aug →
dust213–70.0729%16 Aug →
dust213–30.0330%15 Aug →
ancient15–150.0021%15 Aug →
inferno16–140.0431%15 Aug →
inferno13–70.1222%7 Aug →
mirage11–5-0.0119%7 Aug →
dust213–70.0314%7 Aug →
dust213–80.0230%7 Aug →
anubis5–13-0.0121%4 Aug →
dust28–13-0.0420%4 Aug →
cache13–11-0.0311%4 Aug →
dust211–13-0.0313%4 Aug →
mirage8–13-0.0517%4 Aug →
inferno13–90.0116%4 Aug →
dust213–8-0.0626%4 Aug →
mirage13–90.0415%4 Aug →
nuke9–13-0.0516%17 Jun →
mirage13–160.0116%16 Jun →
inferno15–150.0516%16 Jun →
dust213–70.0420%16 Jun →
mirage5–130.0216%16 Jun →
anubis10–13-0.0037%15 Jun →
mirage13–90.0321%14 Jun →
dust213–4-0.0217%13 Jun →
dust213–3-0.0012%12 Jun →
ancient13–100.1316%12 Jun →
dust213–90.0522%12 Jun →
ancient13–11-0.0017%8 Jun →
anubis13–4-0.0121%8 Jun →
nuke3–13-0.1110%7 Jun →
ancient5–130.0319%5 Jun →
ancient11–13-0.0014%3 Jun →
dust27–13-0.0629%3 Jun →
dust29–13-0.0714%3 Jun →
dust27–130.0117%2 Jun →
anubis8–13-0.028%2 Jun →
dust26–130.0216%2 Jun →
ancient13–70.0113%2 Jun →
italy10–6-0.034%2 Jun →
inferno13–7-0.128%2 Jun →
dust213–70.0212%2 Jun →
anubis9–130.0421%2 Jun →
dust213–110.0219%1 Jun →
anubis5–13-0.0812%31 May →
anubis13–100.0219%31 May →
dust24–13-0.0715%31 May →
dust213–30.0526%30 May →
ancient13–8-0.0415%30 May →
anubis6–13-0.0112%30 May →
dust213–110.0319%28 May →
anubis9–13-0.0118%28 May →
dust213–8-0.0118%28 May →
ancient1–13-0.0410%28 May →
inferno7–13-0.0313%28 May →
anubis9–13-0.0317%26 May →
nuke13–110.0423%26 May →
dust213–80.0113%26 May →
dust213–110.0536%26 May →
anubis10–13-0.0315%26 May →
ancient6–13-0.0518%26 May →
dust24–13-0.049%26 May →
mirage13–90.0719%26 May →
anubis5–130.1667%25 May →
anubis13–60.0221%25 May →
mirage13–8-0.0117%25 May →
dust210–130.0118%25 May →
ancient8–13-0.0023%25 May →
mirage9–13-0.0315%25 May →
nuke5–130.0814%25 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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