KNUB

KNUB — CS2 Stats

76561199030915917[U:1:1070650189]Steam profile ↗✓ No bans

588Tracked matches60%Win rate2025Tracked since
627Hours in CS
CSDB Rating3.8 LearningPositional Player
Premier CS Rating2,820Grey band · top ~88% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 588 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 2,820 +35 2 May – 15 Sept · 14 days played
1,6823,518peak 3,5182 May15 Sept
3,921Peak Premier in tracked matches
21Days played since 2026-04-28

Premier CS Rating

  • 698 below peak (3,518)
  • -698 over 30 days · declining
  • +919 over 90 days
  • Next: Light Blue band at 5,000 — 2,180 to go

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 15 Sep 2026 and 17 Oct 2026.

Measured 15 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,259), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.1%41.8%42.7%4.6% short
Shot accuracy5.7%12.2%11.3%5.5% short
Kill/death ratio0.710.980.990.28 short
Match win rate40.7%43.3%43.9%3.2% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKNUBFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER2,820 · Grey bandcsdb.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

Aim56
Positioning32
Utility9

0–100 skill scores via Leetify.

Recent form

HOT49–49–2Last 10049%Win rateWWWWWLWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +4.1pp headshot accuracy · +7ms 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

  • 5–0 · 100% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 677ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 695ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 691ms

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).

Aim5.6
Utility0.9
Positioning3.2
Opening Duels0.0
Clutch2.6

Limited utility dependence

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 713ms 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

Aim5.6
Positioning3.2
Utility0.9
Mechanics6.6
Opening Duels0.0
Win Impact8.3

Composite 3.8/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time706ms+28ms
first ⅓ avg 678ms → last ⅓ avg 706ms
Headshot accuracy12.4%−3.9%
first ⅓ avg 16.3% → last ⅓ avg 12.4%

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 · 13–4 · inferno, 10 Aug →
38%Best headshot accuracy · 4–9 · inferno, 3 May →
469msFastest reaction time · 1–9 · inferno, 28 Apr →
13–1Biggest win · dust2, 11 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 69% over 13nukeWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC3212–2038%-0.03
mirageA2314–961%-0.03
nukeC145–936%-0.01
dust2S139–469%0.00
ancientC83–538%-0.00
anubis—42–250%-0.05
cache—32–167%-0.04
vertigo—21–150%-0.07
overpass—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,949Lifetime kills
0.71K/D
2,049Matches
40.7%Match win rate
38.1%Headshot %
5.7%Shot accuracy
3,635MVPs
627Hours (in match)
1,690Bombs planted
256Bombs defused

Most-used weapons

Lifetime map wins

4,221inferno
2,605dust2
2,468nuke
1,205vertigo
194train
60cbble
16office
11lake

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

Faceit stats

Combat

22Matches
27%Win rate
0.39Avg K/D
39.4ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
9%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage714%0.417.0
Anubis540%0.386.0
Nuke425%0.335.3
Dust2333%0.344.7
Ancient250%0.6010.0
Inferno10%0.193.0

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.

12.2%Headshot accuracy
38.2%Accuracy (enemy spotted)
35.1%Spray accuracy
79.9%Counter-strafing
9.3°Preaim
713msReaction time
22.8%T opening success
25.2%CT opening success
0.12Enemies flashed / flash
2.9%Flash assists
5.12HE damage / grenade
0.78Flashes / 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 12.2161% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.7578ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1204 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.1025%2 Sept →
mirage13–10-0.1012%2 Sept →
dust213–50.0410%2 Sept →
vertigo9–6-0.089%2 Sept →
dust213–80.0126%23 Aug →
mirage5–13-0.0616%23 Aug →
nuke13–8-0.0117%23 Aug →
mirage13–10-0.116%13 Aug →
mirage7–13-0.1013%13 Aug →
anubis13–100.0212%13 Aug →
dust213–7-0.064%13 Aug →
cache13–8-0.0616%12 Aug →
ancient6–13-0.106%12 Aug →
anubis3–13-0.107%12 Aug →
dust213–6-0.056%12 Aug →
inferno13–6-0.0411%11 Aug →
mirage13–9-0.0918%11 Aug →
dust213–10.0512%11 Aug →
mirage14–160.046%11 Aug →
nuke13–50.0018%11 Aug →
dust23–130.0316%11 Aug →
inferno1–9-0.1710%11 Aug →
nuke9–70.018%11 Aug →
nuke3–130.025%10 Aug →
inferno2–13-0.067%10 Aug →
inferno13–40.1127%10 Aug →
inferno4–9-0.037%10 Aug →
inferno9–6-0.0512%10 Aug →
inferno5–9-0.0618%10 Aug →
dust28–80.0613%5 Jun →
mirage13–9-0.0213%4 Jun →
nuke11–130.0010%4 Jun →
mirage13–100.0416%4 Jun →
nuke10–13-0.026%4 Jun →
ancient13–40.0611%4 Jun →
mirage7–13-0.0511%27 May →
anubis14–16-0.0113%27 May →
ancient7–13-0.016%27 May →
inferno13–9-0.0014%27 May →
nuke12–16-0.0413%27 May →
mirage8–130.0418%27 May →
mirage9–13-0.0124%27 May →
inferno8–80.0324%27 May →
inferno9–4-0.057%27 May →
mirage13–9-0.0310%26 May →
mirage7–13-0.0419%26 May →
nuke13–10-0.0019%26 May →
mirage13–4-0.0117%26 May →
inferno13–6-0.0410%26 May →
inferno8–13-0.0611%26 May →
mirage13–70.0415%26 May →
ancient9–13-0.0217%25 May →
mirage13–50.0615%25 May →
nuke3–13-0.0428%25 May →
ancient14–160.0013%24 May →
dust212–30.0127%24 May →
mirage16–14-0.0213%14 May →
nuke16–140.034%13 May →
inferno13–70.008%13 May →
dust213–10-0.0418%13 May →
mirage9–13-0.1210%13 May →
ancient13–100.0214%13 May →
dust28–13-0.0219%13 May →
mirage13–11-0.029%12 May →
ancient13–20.0920%12 May →
mirage16–12-0.0517%12 May →
nuke1–13-0.0716%12 May →
dust213–110.0026%12 May →
mirage13–4-0.0110%12 May →
inferno9–130.037%12 May →
dust211–13-0.0124%12 May →
ancient9–13-0.065%12 May →
overpass13–90.019%12 May →
mirage13–11-0.0217%12 May →
inferno2–9-0.1231%11 May →
nuke6–13-0.1015%11 May →
mirage10–13-0.0117%11 May →
inferno7–9-0.0717%11 May →
inferno4–9-0.1438%3 May →
inferno8–80.0521%3 May →
inferno4–9-0.1016%3 May →
inferno9–3-0.008%3 May →
cache4–13-0.0417%2 May →
nuke5–13-0.0121%2 May →
inferno5–9-0.0614%2 May →
inferno6–90.0114%2 May →
nuke11–130.0827%2 May →
cache13–2-0.0221%2 May →
inferno9–6-0.0113%30 Apr →
inferno9–6-0.0615%29 Apr →
inferno6–9-0.0720%29 Apr →
vertigo7–9-0.0613%28 Apr →
inferno5–9-0.0213%28 Apr →
inferno1–9-0.135%28 Apr →
dust213–10-0.0119%28 Apr →
inferno6–90.078%28 Apr →
inferno9–70.1110%28 Apr →
inferno9–50.0515%28 Apr →
inferno5–90.0326%28 Apr →
inferno6–90.018%28 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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