Stube

Stube — CS2 Stats

FI76561198046936596[U:1:86670868]Steam profile ↗✓ No bans

721Tracked matches36%Win rate2020Tracked since
5,212Hours in CS4Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
FaceitLevel 5 · 1,195 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,195 → 1,195
+8Tracked matches · now 721
+3.6ppWin rate · 32.1% → 35.7%

Rating over time

Premier CS Rating: 13,722 +1,230 18 Sept – 17 Jan · 23 days played
11,96514,885peak 14,88518 Sept17 Jan
Faceit ELO: 1,195 +0 3 Sept – 24 Sept · 4 observations
1,1951,195peak 1,1953 Sept24 Sept
14,885Peak Premier in tracked matches
1,195Highest Faceit ELO seen on CSDB
49Days played since 2025-09-18

Faceit ELO

  • At peak — 1,195
  • Next: Level 6 at 1,201 — 6 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-03
  • Level 4 first seen 2026-09-03

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.9%43.8%44.8%meets
Shot accuracy16.0%12.0%12.4%above
Kill/death ratio0.791.021.030.24 short
Match win rate40.2%44.7%45.2%5.0% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStubeFACEITLevel 5 · 1,195 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,195csdb.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

Aim71
Positioning37
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateWLWWLWLLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · −29ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 577ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 568ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 583ms

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).

Aim7.1
Utility4.3
Positioning3.7
Opening Duels0.0
Clutch4.0

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 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 580ms 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

Aim7.1
Positioning3.7
Utility4.3
Mechanics7.9
Opening Duels0.3
Win Impact0.2

Composite 4.3/10 (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 rating-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time583ms−53ms
first ⅓ avg 635ms → last ⅓ avg 583ms
Headshot accuracy13.8%−3.7%
first ⅓ avg 17.5% → last ⅓ avg 13.8%

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

0.10Best match rating · 9–4 · inferno, 5 Nov →
30%Best headshot accuracy · 5–9 · inferno, 17 Dec →
414msFastest reaction time · 4–13 · inferno, 24 Apr →
13–3Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 54% over 13mirageWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeD196–1332%-0.03
ancientB158–753%-0.02
dust2B137–654%-0.00
mirageD134–931%-0.01
cacheB105–550%-0.03
infernoB105–550%0.00
overpassD62–433%-0.01
train—31–233%0.02
italy—21–150%-0.05
rooftop—20–20%-0.08
fachwerk—10–10%0.03
anubis—10–10%-0.05
stronghold—10–10%0.07
vertigo—11–0100%0.04
golden—11–0100%-0.03
palacio—11–0100%0.03
transit—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,155Lifetime kills
0.79K/D
7,261Matches
40.2%Match win rate
44.9%Headshot % · Top 50% of Level 5 players
16.0%Shot accuracy · Top 25% of Level 5 players
13,908MVPs
4,340Hours (in match)
4,851Bombs planted
1,168Bombs defused

Most-used weapons

AK-4734,338
AWP12,570
Knife5,544
SSG 083,378
P2502,195
Nova2,094

Lifetime map wins

5,408dust2
4,622inferno
2,497nuke
1,985train
1,345vertigo
983cbble
577lake
422office

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

Faceit stats

Combat

298Matches
49%Win rate
1.00Avg K/D
73.9ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient4455%1.0316.0
Nuke3459%1.0714.6
Mirage3135%0.9614.1
Inferno3057%0.9113.6
Vertigo1839%1.1416.8
Dust21850%0.8714.2
Anubis729%0.8515.6
Train667%1.1217.0

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.

13.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
41.5%Spray accuracy
85.4%Counter-strafing
9.9°Preaim
580msReaction time
22.4%T opening success
32.2%CT opening success
0.66Enemies flashed / flash
13.8%Flash assists
6.25HE damage / grenade
3.56Flashes / 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 13.2211% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5552 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 22.4447% — below the 40% mark we flag

Spend your practice time on Mirage

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 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0313%24 Oct →
dust210–13-0.0212%24 Oct →
cache13–11-0.1113%24 Oct →
inferno13–11-0.0012%23 Oct →
cache11–13-0.0712%23 Oct →
dust25–2-0.0511%23 Oct →
ancient11–13-0.0620%27 Sept →
mirage9–13-0.028%27 Sept →
ancient14–16-0.0216%3 Sept →
fachwerk6–130.0320%3 Sept →
italy5–13-0.0710%3 Sept →
ancient13–10-0.024%14 Aug →
nuke7–13-0.0722%26 Jul →
nuke7–13-0.069%26 Jul →
cache11–130.0115%20 Jul →
cache13–9-0.0211%18 Jul →
dust216–12-0.0217%18 Jul →
inferno15–15-0.0113%1 Jul →
dust22–13-0.090%1 Jul →
mirage9–13-0.026%1 Jul →
cache10–13-0.0310%18 May →
nuke8–13-0.0412%18 May →
cache12–120.018%4 May →
cache13–3-0.0122%3 May →
cache13–60.0213%29 Apr →
cache13–110.0014%29 Apr →
cache7–13-0.0713%29 Apr →
nuke2–13-0.0819%24 Apr →
ancient3–13-0.1025%24 Apr →
inferno4–13-0.1017%24 Apr →
dust28–13-0.0719%6 Apr →
inferno13–3-0.0128%6 Apr →
ancient13–16-0.079%20 Mar →
mirage13–6-0.0414%15 Feb →
ancient1–11-0.0917%3 Feb →
ancient13–50.038%3 Feb →
dust211–130.0118%2 Feb →
anubis7–13-0.058%2 Feb →
ancient13–8-0.026%2 Feb →
stronghold11–130.0721%29 Jan →
inferno13–6-0.0521%17 Jan →
nuke11–130.0019%17 Jan →
inferno12–120.0124%5 Jan →
overpass3–13-0.067%4 Jan →
vertigo9–60.0415%17 Dec →
nuke2–9-0.1423%17 Dec →
inferno5–90.0830%17 Dec →
rooftop6–9-0.0428%17 Dec →
inferno4–13-0.093%17 Dec →
train14–160.0315%17 Dec →
nuke13–6-0.0314%17 Dec →
overpass13–10-0.0311%16 Dec →
nuke6–13-0.0316%16 Dec →
italy13–8-0.0214%16 Dec →
mirage12–120.036%14 Dec →
mirage1–13-0.0313%6 Dec →
nuke7–130.0321%4 Dec →
ancient13–80.0520%2 Dec →
ancient13–70.0220%2 Dec →
overpass13–110.0412%29 Nov →
ancient3–13-0.018%26 Nov →
golden13–6-0.0314%26 Nov →
mirage13–70.007%26 Nov →
nuke13–100.0021%25 Nov →
nuke7–13-0.0618%24 Nov →
overpass8–130.0118%24 Nov →
inferno13–80.0822%23 Nov →
mirage13–90.0517%23 Nov →
dust213–11-0.0013%21 Nov →
ancient13–110.0313%21 Nov →
ancient3–13-0.0222%21 Nov →
nuke13–8-0.0315%15 Nov →
dust210–13-0.0611%15 Nov →
palacio13–100.0321%15 Nov →
ancient11–20.0320%15 Nov →
dust213–30.0920%15 Nov →
nuke13–6-0.0624%15 Nov →
mirage9–13-0.0210%12 Nov →
nuke15–150.0130%5 Nov →
inferno9–40.1025%5 Nov →
dust211–130.0019%5 Nov →
ancient13–4-0.0017%3 Nov →
train10–13-0.0220%1 Nov →
mirage8–13-0.029%31 Oct →
mirage13–7-0.0225%31 Oct →
nuke5–13-0.063%27 Oct →
overpass6–130.0014%27 Oct →
dust213–110.0712%22 Oct →
mirage10–130.0413%22 Oct →
nuke5–130.0621%22 Oct →
nuke5–130.0021%8 Oct →
rooftop8–8-0.119%2 Oct →
transit6–9-0.0121%2 Oct →
nuke13–80.0212%2 Oct →
train13–100.0421%1 Oct →
mirage8–13-0.0515%30 Sept →
dust213–5-0.0023%29 Sept →
dust213–60.0725%29 Sept →
overpass5–13-0.0223%18 Sept →
mirage11–13-0.0114%18 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.