Nubb3n

Nubb3n — CS2 Stats

76561197998331639[U:1:38065911]Steam profile ↗✓ No bans

2,362Tracked matches45%Win rate2020Tracked since
6,911Hours in CS29Hrs last 2 wks
CSDB Rating8.2 StrongPositional Player
Premier CS Rating29,219Top 1% of 215,386 CSDB-tracked playersRed band · top ~1% of ranked players (population est.)
CSDB Leaderboard#1377 of 261517 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 29,219 +2,006 1 Sept – 13 Nov · 27 days played
24,76529,445peak 29,4451 Sept13 Nov
29,445Peak Premier in tracked matches
29Days played since 2026-09-01

Premier CS Rating

  • 226 below peak (29,445)
  • +1,778 over 30 days · improving
  • Next: Gold band at 30,000 — 781 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate51.1%50.9%
Shot accuracy17.6%13.7%
Kill/death ratio1.121.09
Match win rate47.2%48.4%

Share this profile

CSDB.GGNubb3nFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER29,219 · Red bandcsdb.gg/stats

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Performance scores

Aim95
Positioning77
Utility70

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLLLLWLWLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +4.7pp headshot accuracy · +17ms reaction

Win rate down 40pp 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 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 523ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 526ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 517ms

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 (+1.4 against its own average).

Aim9.5
Utility7.0
Positioning7.7
Opening Duels7.0
Clutch3.6

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

m0NESY

Plays most like m0NESY 99% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 76% T opening-duel success — entries that actually open the round.

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

Aim9.5
Positioning7.7
Utility7.0
Mechanics7.3
Opening Duels9.4
Win Impact3.3

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time514ms−45ms
first ⅓ avg 559ms → last ⅓ avg 514ms
Headshot accuracy21.0%−3.7%
first ⅓ avg 24.7% → last ⅓ avg 21.0%

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

0.22Best match rating · 8–0 · cache, 3 Nov →
47%Best headshot accuracy · 1–13 · anubis, 25 Sept →
352msFastest reaction time · 7–13 · inferno, 23 Oct →
13–1Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
8–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 75% over 12nukeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2215–768%0.03
cacheB2010–1050%0.03
dust2A1610–663%0.02
ancientS129–375%0.03
anubisC114–736%0.02
infernoD71–614%-0.01
nukeD60–60%-0.02
overpass—20–20%0.04
train—20–20%0.02
vertigo—21–150%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

295,344Lifetime kills
1.12K/D · Top 50% of Level 10 players
11,627Matches
47.2%Match win rate
51.1%Headshot % · Top 50% of Level 10 players
17.6%Shot accuracy · Top 25% of Level 10 players
61,284MVPs
5,175Hours (in match)
5,620Bombs planted
11,600Bombs defused

Most-used weapons

AK-47114,983
AWP35,707
Glock-1810,711
SSG 084,466
Knife4,132
MAC-102,573
FAMAS2,435

Lifetime map wins

27,479inferno
20,757dust2
8,221train
7,991nuke
6,062vertigo
2,143cbble
179lake
124italy

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

Faceit stats

Combat

1,176Matches
52%Win rate
1.22Avg K/D
88.9ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11149%1.2217.6
Inferno8045%1.1718.4
Dust27355%1.2217.8
Anubis6062%1.1918.5
Ancient5958%1.1917.2
Vertigo3858%1.0917.5
Overpass1547%1.2020.5
Nuke1560%1.2618.5

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.

20.9%Headshot accuracy
44.7%Accuracy (enemy spotted)
50.2%Spray accuracy
82.8%Counter-strafing
8.6°Preaim
514msReaction time
76.0%T opening success
65.3%CT opening success
0.64Enemies flashed / flash
10.3%Flash assists
11.47HE damage / grenade
10.34Flashes / match

Recommended for you

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass14–160.0028%13 Nov →
cache11–130.0628%13 Nov →
mirage10–130.0017%13 Nov →
anubis10–130.0511%13 Nov →
dust213–4-0.0528%12 Nov →
ancient6–13-0.039%11 Nov →
inferno13–9-0.0233%11 Nov →
anubis11–130.0622%11 Nov →
cache6–13-0.0441%9 Nov →
train4–130.0625%6 Nov →
mirage12–120.0817%6 Nov →
anubis5–13-0.0615%6 Nov →
ancient13–100.0123%6 Nov →
nuke5–13-0.0219%4 Nov →
ancient13–80.0220%4 Nov →
dust213–10.1620%4 Nov →
inferno8–130.0217%4 Nov →
cache13–11-0.0134%4 Nov →
ancient13–60.0913%4 Nov →
dust213–70.1218%4 Nov →
mirage6–130.0115%3 Nov →
overpass11–130.0820%3 Nov →
cache8–00.2224%3 Nov →
mirage10–130.0217%3 Nov →
anubis13–80.0320%2 Nov →
ancient13–30.0016%2 Nov →
cache13–50.0122%2 Nov →
dust210–130.0316%2 Nov →
cache13–70.1519%2 Nov →
anubis14–160.0618%31 Oct →
cache13–90.0523%31 Oct →
mirage10–13-0.0320%31 Oct →
anubis13–110.0525%31 Oct →
ancient13–90.0326%31 Oct →
inferno15–150.0527%30 Oct →
dust213–8-0.0116%30 Oct →
cache12–120.0623%29 Oct →
ancient10–13-0.048%24 Oct →
mirage11–130.0122%24 Oct →
nuke5–13-0.0315%24 Oct →
dust24–13-0.064%24 Oct →
nuke10–130.0519%24 Oct →
vertigo13–80.0113%23 Oct →
dust29–13-0.0723%23 Oct →
mirage16–140.1220%23 Oct →
inferno7–13-0.0232%23 Oct →
mirage13–60.0623%23 Oct →
cache13–6-0.0514%23 Oct →
ancient7–130.0716%22 Oct →
mirage5–130.0121%21 Oct →
dust213–8-0.0311%21 Oct →
cache1–13-0.0333%21 Oct →
mirage13–8-0.0121%21 Oct →
nuke4–13-0.1011%21 Oct →
cache7–130.0423%21 Oct →
dust26–130.0720%21 Oct →
dust21–13-0.117%20 Oct →
inferno4–13-0.0328%20 Oct →
anubis13–8-0.1010%20 Oct →
cache5–13-0.0415%19 Oct →
mirage13–90.0518%19 Oct →
mirage13–110.0724%18 Oct →
cache11–13-0.0223%18 Oct →
cache15–150.0117%17 Oct →
cache13–110.0728%17 Oct →
ancient13–40.0321%17 Oct →
anubis9–13-0.0025%17 Oct →
mirage13–70.0619%17 Oct →
mirage13–5-0.0222%14 Oct →
mirage13–90.0125%14 Oct →
cache7–13-0.0519%14 Oct →
dust213–5-0.0425%14 Oct →
ancient13–30.1217%12 Oct →
dust213–100.0716%12 Oct →
vertigo4–13-0.0737%12 Oct →
anubis13–30.1317%12 Oct →
cache13–40.0520%12 Oct →
mirage13–110.0427%12 Oct →
nuke4–13-0.0718%12 Oct →
mirage13–7-0.0126%11 Oct →
mirage16–13-0.0320%11 Oct →
cache19–160.0221%11 Oct →
mirage16–140.0424%10 Oct →
train5–13-0.0238%7 Oct →
ancient13–50.1025%7 Oct →
mirage13–50.0620%7 Oct →
nuke7–130.0715%7 Oct →
inferno6–13-0.0638%7 Oct →
anubis2–13-0.0041%6 Oct →
dust216–14-0.0119%6 Oct →
cache13–50.0719%6 Oct →
mirage13–5-0.0132%4 Oct →
inferno8–13-0.0031%28 Sept →
ancient13–10-0.0120%28 Sept →
dust213–100.0936%26 Sept →
dust213–80.0120%26 Sept →
mirage13–20.0614%26 Sept →
cache7–13-0.0126%26 Sept →
dust211–130.1123%25 Sept →
anubis1–130.0247%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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