RubE

RubE — CS2 Stats

HM76561198059907176[U:1:99641448]Steam profile ↗✓ No bans

616Tracked matches47%Win rate2020Tracked since
2,870Hours in CS5Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
Premier CS Rating24,371Top 25% of 215,558 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#29811 of 261653 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 24,371 +4,868 5 Jul – 11 Nov · 32 days played
19,50324,371peak 24,3715 Jul11 Nov
24,371Peak Premier in tracked matches
32Days played since 2026-06-26

Premier CS Rating

  • At peak — 24,371
  • +1,571 over 90 days
  • Next: Red band at 25,000 — 629 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 4 among CSDB-tracked players (n=14,911), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.5%42.7%43.8%1.3% short
Shot accuracy13.4%11.2%12.0%above
Kill/death ratio0.930.991.020.09 short
Match win rate41.4%43.9%44.7%3.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRubEFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER24,371 · Pink 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

Aim47
Positioning45
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWWLLWWLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · +70ms 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 -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

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 (+2.4 against its own average).

Aim4.7
Utility4.8
Positioning4.5
Opening Duels0.2
Clutch0.0

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

iM

Plays most like iM 76% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 565ms 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

Aim4.7
Positioning4.5
Utility4.8
Mechanics5.5
Opening Duels1.0
Win Impact3.9

Composite 4.4/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time578ms−36ms
first ⅓ avg 614ms → last ⅓ avg 578ms
Headshot accuracy14.3%−3.2%
first ⅓ avg 17.5% → last ⅓ avg 14.3%

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 · 13–0 · cache, 26 Jun →
29%Best headshot accuracy · 15–15 · mirage, 6 Jul →
344msFastest reaction time · 2–13 · inferno, 28 Oct →
13–0Biggest win · cache, 26 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
6–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 70% over 23infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
cacheS2316–770%0.01
nukeA169–756%-0.01
infernoD165–1131%-0.03
dust2B136–746%-0.01
ancientB126–650%-0.02
anubisB105–550%0.00
mirageC104–640%0.01

Across the last 100 tracked matches.

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

Lifetime stats

69,469Lifetime kills
0.93K/D
3,873Matches
41.4%Match win rate
42.5%Headshot %
13.4%Shot accuracy · Top 50% of Level 4 players
7,200MVPs
1,625Hours (in match)
3,892Bombs planted
751Bombs defused

Most-used weapons

AK-4717,678
AWP5,694
P2502,575
SG 5532,277
P901,896

Lifetime map wins

4,400inferno
4,120nuke
3,960dust2
2,115train
1,055cbble
368vertigo
229lake
108bank

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

Faceit stats

Combat

22Matches
59%Win rate
0.87Avg K/D
82.1ADR
44%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3100%1.0014.7
Nuke2100%1.2816.0
Mirage20%0.9313.5
Ancient10%0.6111.0

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.

15.3%Headshot accuracy
28.1%Accuracy (enemy spotted)
32.0%Spray accuracy
74.9%Counter-strafing
10.7°Preaim
565msReaction time
38.1%T opening success
28.1%CT opening success
0.54Enemies flashed / flash
1.4%Flash assists
8.37HE damage / grenade
8.46Flashes / 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

    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 38.1475% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0117%11 Nov →
nuke13–100.0110%11 Nov →
dust213–110.0319%9 Nov →
dust210–13-0.0314%9 Nov →
cache6–13-0.0415%9 Nov →
nuke13–6-0.0214%9 Nov →
cache13–10-0.0119%5 Nov →
inferno2–13-0.0517%28 Oct →
anubis8–13-0.0118%28 Oct →
cache13–6-0.0215%28 Oct →
dust27–130.0010%28 Oct →
mirage13–80.0114%21 Oct →
nuke16–14-0.0215%2 Sept →
anubis13–60.0319%25 Aug →
cache10–130.0423%25 Aug →
inferno3–13-0.0927%25 Aug →
nuke6–13-0.0311%24 Aug →
ancient13–11-0.0324%24 Aug →
nuke14–16-0.0723%20 Aug →
cache13–80.0511%17 Aug →
cache13–11-0.0216%15 Aug →
inferno6–13-0.0815%2 Aug →
ancient4–13-0.067%2 Aug →
cache13–60.015%2 Aug →
inferno12–16-0.0418%31 Jul →
cache10–130.0015%30 Jul →
ancient2–13-0.088%30 Jul →
anubis13–10-0.0113%30 Jul →
mirage3–13-0.0212%30 Jul →
dust28–130.018%30 Jul →
dust213–90.038%30 Jul →
nuke13–3-0.008%29 Jul →
ancient11–13-0.054%29 Jul →
inferno13–3-0.0115%29 Jul →
anubis13–6-0.0815%29 Jul →
dust210–13-0.039%29 Jul →
mirage11–130.0218%29 Jul →
mirage13–100.0821%28 Jul →
ancient13–9-0.0213%27 Jul →
nuke13–90.0717%27 Jul →
inferno13–9-0.0312%27 Jul →
inferno13–10-0.018%26 Jul →
dust213–4-0.0216%26 Jul →
nuke10–13-0.0715%26 Jul →
cache13–50.028%26 Jul →
mirage11–130.0113%26 Jul →
inferno3–13-0.0311%26 Jul →
nuke13–50.0324%26 Jul →
ancient9–130.0418%26 Jul →
anubis11–130.0411%26 Jul →
nuke6–130.0116%26 Jul →
cache2–13-0.127%26 Jul →
cache16–13-0.0111%26 Jul →
inferno2–13-0.059%25 Jul →
mirage13–90.0211%24 Jul →
anubis3–13-0.0413%24 Jul →
ancient13–90.028%24 Jul →
mirage5–13-0.069%24 Jul →
ancient3–13-0.0411%24 Jul →
inferno11–13-0.0718%22 Jul →
ancient13–100.0310%22 Jul →
inferno11–13-0.0511%22 Jul →
inferno13–50.070%21 Jul →
cache13–100.0515%21 Jul →
nuke11–13-0.0412%21 Jul →
dust213–5-0.0311%21 Jul →
dust213–9-0.0211%19 Jul →
anubis11–13-0.0415%16 Jul →
cache13–50.0220%15 Jul →
cache4–13-0.056%15 Jul →
mirage13–10-0.0110%12 Jul →
nuke10–13-0.0118%12 Jul →
nuke13–5-0.0621%12 Jul →
dust25–13-0.0720%12 Jul →
inferno4–13-0.0613%12 Jul →
ancient13–90.0028%12 Jul →
dust210–130.0125%9 Jul →
cache5–13-0.0221%9 Jul →
ancient13–5-0.062%9 Jul →
nuke13–80.0518%9 Jul →
anubis13–80.0021%9 Jul →
cache13–110.0516%8 Jul →
cache13–100.0514%8 Jul →
cache13–70.0320%8 Jul →
cache13–90.018%8 Jul →
cache13–90.0220%7 Jul →
cache13–80.0122%7 Jul →
cache6–130.0325%7 Jul →
inferno13–30.0710%6 Jul →
anubis13–40.0721%6 Jul →
mirage15–150.0829%6 Jul →
anubis9–130.0215%6 Jul →
nuke13–11-0.0210%5 Jul →
nuke9–13-0.0324%5 Jul →
inferno15–150.0111%5 Jul →
dust210–130.0011%5 Jul →
mirage11–13-0.0517%5 Jul →
ancient8–13-0.0418%5 Jul →
inferno1–13-0.0827%5 Jul →
cache13–00.1721%26 Jun →

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.