Aldo Artellium

Aldo Artellium — CS2 Stats

76561198044476841[U:1:84211113]Steam profile ↗VAC banned

1,423Tracked matches45%Win rate2020Tracked since
1,746Hours in CS8Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,806 → 1,806
+29Tracked matches · now 1,423
+3.2ppWin rate · 41.7% → 44.8%

Rating over time

Premier CS Rating: 21,918 +264 29 Jun – 4 Jul · 2 days played
21,65421,918peak 21,91829 Jun4 Jul
22,324Peak Premier in tracked matches
1,806Highest Faceit ELO seen on CSDB
61Days played since 2026-06-29

Faceit ELO

  • At peak — 1,806
  • Next: Level 10 at 2,001 — 195 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-23
  • Level 8 first seen 2026-09-23

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.

Share this profile

CSDB.GGAldo ArtelliumPEAK ELO1,806csdb.gg/stats

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Performance scores

Aim63
Positioning59
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLLLWLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.5pp headshot accuracy · −14ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 461ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 540ms

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 (+1.5 against its own average).

Aim6.3
Utility6.2
Positioning5.9
Opening Duels2.7
Clutch3.8

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.3
Positioning5.9
Utility6.2
Mechanics4.9
Opening Duels3.7
Win Impact3.3

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time505ms−89ms
first ⅓ avg 594ms → last ⅓ avg 505ms
Headshot accuracy16.4%−2.2%
first ⅓ avg 18.5% → last ⅓ avg 16.4%

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

0.37Best match rating · 9–0 · eldorado, 12 Aug →
32%Best headshot accuracy · 13–11 · dust2, 24 Aug →
359msFastest reaction time · 9–13 · inferno, 18 Sept →
13–0Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–10In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 54% over 26mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%-0.00
cacheB2111–1052%0.01
infernoB158–753%-0.02
mirageC125–742%-0.01
trainB63–350%0.03
ancient—41–325%0.01
anubis—40–40%-0.03
office—31–233%0.03
vertigo—31–233%-0.03
nuke—20–20%-0.11
eldorado—11–0100%0.37
shelter—11–0100%0.05
fachwerk—10–10%-0.10
boulder—10–10%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,313Lifetime kills
0.85K/D
2,426Matches
41.8%Match win rate
53.9%Headshot % · Top 25% of tracked players
5.4%Shot accuracy
4,539MVPs
1,573Hours (in match)
2,186Bombs planted
440Bombs defused

Most-used weapons

Lifetime map wins

3,997dust2
3,423inferno
811train
669vertigo
605nuke
228office
222cbble
53italy

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

Faceit stats

Combat

205Matches
59%Win rate
0.99Avg K/D
74.4ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust25456%1.0614.3
Inferno4461%0.9715.0
Mirage4452%0.9814.7
Anubis2348%0.9515.8
Overpass1479%0.9815.6
Train667%0.9114.7
Vertigo683%0.8513.5
Cache4100%1.1215.3

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.

17.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.5%Spray accuracy
71.8%Counter-strafing
9.6°Preaim
521msReaction time
51.8%T opening success
38.1%CT opening success
0.62Enemies flashed / flash
9.6%Flash assists
11.59HE damage / grenade
8.99Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.0796% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office9–130.0215%3 Nov →
dust27–13-0.079%3 Nov →
inferno11–130.0222%3 Nov →
inferno13–80.0116%2 Nov →
dust210–13-0.0118%30 Oct →
dust210–13-0.0229%29 Oct →
inferno13–6-0.0118%28 Oct →
inferno13–7-0.0426%28 Oct →
cache13–50.0217%27 Oct →
cache13–30.0312%25 Oct →
cache5–13-0.0714%24 Oct →
cache11–130.0727%24 Oct →
inferno13–8-0.0317%18 Oct →
dust213–00.0314%16 Oct →
inferno4–13-0.0612%16 Oct →
ancient6–13-0.007%16 Oct →
dust213–20.1014%11 Oct →
train13–110.0719%8 Oct →
train2–130.0123%8 Oct →
inferno12–12-0.0519%5 Oct →
cache11–13-0.0115%2 Oct →
inferno13–90.0014%30 Sept →
cache7–13-0.0221%29 Sept →
dust213–3-0.0315%29 Sept →
dust213–110.0023%28 Sept →
nuke2–8-0.190%24 Sept →
cache13–110.0521%24 Sept →
dust29–13-0.0415%24 Sept →
ancient6–13-0.0217%23 Sept →
vertigo11–13-0.078%22 Sept →
mirage3–90.0221%22 Sept →
mirage13–11-0.0411%22 Sept →
anubis11–130.0212%21 Sept →
dust24–130.0317%18 Sept →
inferno9–13-0.0123%18 Sept →
mirage13–60.0132%11 Sept →
dust212–12-0.0916%11 Sept →
cache6–13-0.0418%10 Sept →
dust212–12-0.0613%9 Sept →
cache13–80.0714%9 Sept →
inferno8–13-0.0817%9 Sept →
dust27–130.0418%6 Sept →
train13–40.0112%3 Sept →
dust213–110.0817%2 Sept →
cache11–13-0.0514%29 Aug →
cache12–120.0219%27 Aug →
cache13–10-0.0229%26 Aug →
cache19–160.0120%25 Aug →
dust213–110.0132%24 Aug →
cache12–12-0.0511%17 Aug →
dust27–13-0.0421%16 Aug →
dust212–60.0713%15 Aug →
mirage3–130.0718%14 Aug →
mirage7–13-0.1015%14 Aug →
train12–120.0211%13 Aug →
eldorado9–00.3732%12 Aug →
train12–120.0111%12 Aug →
dust211–13-0.0329%5 Aug →
vertigo5–13-0.038%4 Aug →
mirage13–10-0.0422%4 Aug →
inferno9–13-0.0326%29 Jul →
vertigo13–70.0214%29 Jul →
dust213–7-0.0614%27 Jul →
anubis12–12-0.0813%24 Jul →
anubis10–13-0.0316%24 Jul →
anubis7–13-0.0132%23 Jul →
dust213–70.0224%21 Jul →
dust212–12-0.0217%21 Jul →
inferno13–60.0224%20 Jul →
inferno13–30.0315%20 Jul →
cache13–5-0.0329%17 Jul →
dust213–4-0.0012%17 Jul →
ancient8–130.0123%16 Jul →
mirage10–13-0.0312%16 Jul →
cache13–40.0811%15 Jul →
dust213–90.0415%15 Jul →
mirage13–50.0816%15 Jul →
mirage13–7-0.0518%13 Jul →
office12–120.0220%12 Jul →
office13–80.0623%12 Jul →
inferno13–8-0.1119%11 Jul →
dust29–8-0.0412%10 Jul →
shelter13–60.0523%10 Jul →
fachwerk5–13-0.1011%10 Jul →
boulder9–130.078%10 Jul →
cache13–90.1327%10 Jul →
mirage4–130.0221%10 Jul →
dust213–90.0020%9 Jul →
mirage7–130.0123%9 Jul →
train13–100.0311%7 Jul →
mirage7–13-0.057%4 Jul →
dust213–30.0121%4 Jul →
dust213–50.0631%4 Jul →
inferno11–130.0120%4 Jul →
cache13–50.0728%3 Jul →
cache6–13-0.0219%1 Jul →
cache13–10.0728%1 Jul →
cache11–13-0.0219%30 Jun →
ancient13–80.0513%30 Jun →
nuke9–13-0.0316%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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