Aldo Artellium — CS2 Stats

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

1,394Tracked matches42%Win rate2020Tracked since

1,726Hours in CS9Hrs last 2 wks

CSDB Rating4.7 DevelopingSupport

CSDB Leaderboard#53205 of 239100 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 59 days played since 29 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,918 +209 9 Jun – 4 Jul · 6 days played

22,324Peak Premier in tracked matches

1,806Highest Faceit ELO seen on CSDB

59Days played since 2026-05-29

Faceit ELO

At peak — 1,806
Next: Level 10 at 2,001 — 195 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

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

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Performance scores

Aim63

Positioning46

Utility59

0–100 skill scores via Leetify.

Recent form

COLD42–45–13Last 10042%Win rateLLWLLLWTLT

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −2.1pp headshot accuracy · −110ms 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 14%
Avg reaction 422ms

Last 10

2–6–2 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 17%
Avg reaction 460ms

Last 20

8–9–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 515ms

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 against its own average).

Aim6.3

Utility5.9

Positioning4.6

Opening Duels1.4

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

Plays most like Twistzz 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Positioning4.6

Utility5.9

Mechanics5.7

Opening Duels1.3

Win Impact2.2

Composite 4.7/10 (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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time509ms−59ms

first ⅓ avg 568ms → last ⅓ avg 509ms

Headshot accuracy18.0%−1.4%

first ⅓ avg 19.5% → last ⅓ avg 18.0%

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

0.37Best match rating · 9–0 · eldorado, 12 Aug →

32%Best headshot accuracy · 13–11 · dust2, 24 Aug →

359msFastest reaction time · 9–13 · inferno, 18 Sept →

13–1Biggest win · cache, 1 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

3–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

trainBest map · 60% over 5mirageWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	-0.00
cache	B	24	11–13	46%	0.01
mirage	C	14	5–9	36%	-0.01
inferno	B	13	6–7	46%	-0.02
train	A	5	3–2	60%	0.03
vertigo	—	4	2–2	50%	-0.02
anubis	—	4	0–4	0%	-0.03
ancient	—	3	1–2	33%	-0.01
office	—	2	1–1	50%	0.04
overpass	—	2	0–2	0%	-0.03
eldorado	—	1	1–0	100%	0.37
shelter	—	1	1–0	100%	0.05
fachwerk	—	1	0–1	0%	-0.10
boulder	—	1	0–1	0%	0.07
nuke	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

40,837Lifetime kills

0.85K/D

2,391Matches

41.6%Match win rate

54.0%Headshot % · Top 25% of tracked players

5.5%Shot accuracy

4,456MVPs

1,562Hours (in match)

2,148Bombs planted

434Bombs defused

Most-used weapons

AK-4719,370

M4A4 / M4A1-S10,026

AWP1,703

Desert Eagle1,526

P2000 / USP-S1,152

Glock-18708

Tec-9681

MAC-10596

MP9522

P90486

Lifetime map wins

3,916dust2

3,331inferno

796train

669vertigo

604nuke

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

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	54	56%	1.06	14.3
Mirage	44	52%	0.98	14.7
Inferno	44	61%	0.97	15.0
Anubis	23	48%	0.95	15.8
Overpass	14	79%	0.98	15.6
Train	6	67%	0.91	14.7
Vertigo	6	83%	0.85	13.5
Cache	4	100%	1.12	15.3

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.

17.5%Headshot accuracy

30.3%Accuracy (enemy spotted)

32.4%Spray accuracy

75.6%Counter-strafing

9.9°Preaim

511msReaction time

26.4%T opening success

40.7%CT opening success

0.55Enemies flashed / flash

10.8%Flash assists

12.60HE damage / grenade

9.95Flashes / 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.

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 26.3911% — 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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	11–13	-0.07	8%	22 Sept →
mirage	3–9	0.02	21%	22 Sept →
mirage	13–11	-0.04	11%	22 Sept →
anubis	11–13	0.02	12%	21 Sept →
dust2	4–13	0.03	17%	18 Sept →
inferno	9–13	-0.01	23%	18 Sept →
mirage	13–6	0.01	32%	11 Sept →
dust2	12–12	-0.09	16%	11 Sept →
cache	6–13	-0.04	18%	10 Sept →
dust2	12–12	-0.06	13%	9 Sept →
cache	13–8	0.07	14%	9 Sept →
inferno	8–13	-0.08	17%	9 Sept →
dust2	7–13	0.04	18%	6 Sept →
train	13–4	0.01	12%	3 Sept →
dust2	13–11	0.08	17%	2 Sept →
cache	11–13	-0.05	14%	29 Aug →
cache	12–12	0.02	19%	27 Aug →
cache	13–10	-0.02	29%	26 Aug →
cache	19–16	0.01	20%	25 Aug →
dust2	13–11	0.01	32%	24 Aug →
cache	12–12	-0.05	11%	17 Aug →
dust2	7–13	-0.04	21%	16 Aug →
dust2	12–6	0.07	13%	15 Aug →
mirage	3–13	0.07	18%	14 Aug →
mirage	7–13	-0.10	15%	14 Aug →
train	12–12	0.02	11%	13 Aug →
eldorado	9–0	0.37	32%	12 Aug →
train	12–12	0.01	11%	12 Aug →
dust2	11–13	-0.03	29%	5 Aug →
vertigo	5–13	-0.03	8%	4 Aug →
mirage	13–10	-0.04	22%	4 Aug →
inferno	9–13	-0.03	26%	29 Jul →
vertigo	13–7	0.02	14%	29 Jul →
dust2	13–7	-0.06	14%	27 Jul →
anubis	12–12	-0.08	13%	24 Jul →
anubis	10–13	-0.03	16%	24 Jul →
anubis	7–13	-0.01	32%	23 Jul →
dust2	13–7	0.02	24%	21 Jul →
dust2	12–12	-0.02	17%	21 Jul →
inferno	13–6	0.02	24%	20 Jul →
inferno	13–3	0.03	15%	20 Jul →
cache	13–5	-0.03	29%	17 Jul →
dust2	13–4	-0.00	12%	17 Jul →
ancient	8–13	0.01	23%	16 Jul →
mirage	10–13	-0.03	12%	16 Jul →
cache	13–4	0.08	11%	15 Jul →
dust2	13–9	0.04	15%	15 Jul →
mirage	13–5	0.08	16%	15 Jul →
mirage	13–7	-0.05	18%	13 Jul →
office	12–12	0.02	20%	12 Jul →
office	13–8	0.06	23%	12 Jul →
inferno	13–8	-0.11	19%	11 Jul →
dust2	9–8	-0.04	12%	10 Jul →
shelter	13–6	0.05	23%	10 Jul →
fachwerk	5–13	-0.10	11%	10 Jul →
boulder	9–13	0.07	8%	10 Jul →
cache	13–9	0.13	27%	10 Jul →
mirage	4–13	0.02	21%	10 Jul →
dust2	13–9	0.00	20%	9 Jul →
mirage	7–13	0.01	23%	9 Jul →
train	13–10	0.03	11%	7 Jul →
mirage	7–13	-0.05	7%	4 Jul →
dust2	13–3	0.01	21%	4 Jul →
dust2	13–5	0.06	31%	4 Jul →
inferno	11–13	0.01	20%	4 Jul →
cache	13–5	0.07	28%	3 Jul →
cache	6–13	-0.02	19%	1 Jul →
cache	13–1	0.07	28%	1 Jul →
cache	11–13	-0.02	19%	30 Jun →
ancient	13–8	0.05	13%	30 Jun →
nuke	9–13	-0.03	16%	29 Jun →
dust2	13–10	0.01	17%	29 Jun →
inferno	10–13	0.01	25%	28 Jun →
cache	13–4	-0.01	13%	28 Jun →
inferno	13–10	-0.05	14%	27 Jun →
mirage	5–13	-0.04	7%	26 Jun →
inferno	12–12	-0.00	22%	25 Jun →
dust2	9–13	-0.02	28%	24 Jun →
dust2	11–13	0.03	27%	24 Jun →
mirage	8–13	0.01	22%	23 Jun →
inferno	13–6	0.03	20%	23 Jun →
ancient	5–13	-0.09	0%	19 Jun →
overpass	4–13	-0.04	17%	18 Jun →
dust2	12–12	-0.04	19%	18 Jun →
train	13–6	0.09	21%	17 Jun →
inferno	8–13	-0.07	19%	14 Jun →
dust2	4–13	-0.03	16%	14 Jun →
overpass	8–13	-0.02	30%	14 Jun →
cache	12–12	0.05	17%	10 Jun →
inferno	13–8	0.02	25%	9 Jun →
dust2	10–13	-0.05	19%	9 Jun →
cache	5–13	-0.09	16%	9 Jun →
cache	13–6	0.01	22%	9 Jun →
cache	11–13	0.08	25%	8 Jun →
vertigo	13–10	-0.01	15%	7 Jun →
cache	12–12	0.00	26%	4 Jun →
cache	13–9	-0.00	22%	4 Jun →
cache	2–13	-0.06	17%	4 Jun →
cache	6–13	0.01	21%	30 May →
cache	10–13	0.12	27%	29 May →