🎕 Aria 🎕 — CS2 Stats

CA76561198085160536[U:1:124894808]Steam profile ↗✓ No bans

2,268Tracked matches52%Win rate2020Tracked since

CSDB Rating5.4 DevelopingClutch Specialist

Premier CS Rating12,143Blue band · top ~43.5% of ranked players (population est.)

CSDB Leaderboard#173596 of 260015 tracked

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 12,143 -969 27 Sept – 4 Nov · 3 days played

13,112Peak Premier in tracked matches

20Days played since 2026-09-27

Premier CS Rating

969 below peak (13,112)
Next: Purple band at 15,000 — 2,857 to go
Reached: Blue band · Light Blue band

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

Aim68

Positioning50

Utility41

0–100 skill scores via Leetify.

Recent form

HOT40–52–8Last 10040%Win rateWWWWWWWWWW

Last 10 vs previous 10: +70pp win rate · +0.03 avg rating · +2.5pp headshot accuracy · −15ms reaction

Win rate up 70pp 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

5–0 · 100% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 547ms

Last 10

10–0 · 100% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 530ms

Last 20

13–7 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 537ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim6.8

Utility4.1

Positioning5.0

Opening Duels1.8

Clutch6.0

Strong CT-side opener

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 iM 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Aim6.8

Positioning5.0

Utility4.1

Mechanics6.9

Opening Duels4.6

Win Impact5.6

Composite 5.4/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time549ms−29ms

first ⅓ avg 578ms → last ⅓ avg 549ms

Headshot accuracy12.9%−1.2%

first ⅓ avg 14.1% → last ⅓ avg 12.9%

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 · 13–3 · nuke, 5 Nov →

33%Best headshot accuracy · 4–13 · nuke, 6 Oct →

398msFastest reaction time · 7–13 · inferno, 3 Nov →

13–1Biggest win · ancient, 29 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak

W10Current streak

2–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 60% over 10officeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	15	6–9	40%	-0.00
dust2	D	15	5–10	33%	0.00
inferno	C	13	5–8	38%	-0.03
mirage	D	12	3–9	25%	-0.04
cache	A	10	6–4	60%	-0.03
ancient	C	9	4–5	44%	-0.04
train	C	8	3–5	38%	-0.02
office	D	5	1–4	20%	-0.03
vertigo	—	4	2–2	50%	-0.01
anubis	—	3	2–1	67%	-0.01
overpass	—	3	2–1	67%	-0.00
debris	—	1	1–0	100%	0.03
italy	—	1	0–1	0%	-0.03
shelter	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Faceit stats

Combat

39Matches

31%Win rate

0.81Avg K/D

56.0ADR

29%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.28	4.0
Anubis	1	0%	0.31	5.0

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.

13.1%Headshot accuracy

36.4%Accuracy (enemy spotted)

35.0%Spray accuracy

81.0%Counter-strafing

10.1°Preaim

546msReaction time

49.2%T opening success

47.4%CT opening success

0.38Enemies flashed / flash

3.4%Flash assists

9.32HE damage / grenade

6.19Flashes / 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.

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 13.1141% — below the 15% mark we flag
Aim Training →
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 0.3831 — below the 0.5 mark we flag
Grenade Lineups →

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.

25% 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

Map	Score	Rating	HS%	Date
inferno	13–7	-0.01	20%	5 Nov →
nuke	13–7	-0.06	10%	5 Nov →
ancient	13–7	-0.04	9%	5 Nov →
nuke	13–3	0.10	9%	5 Nov →
mirage	13–6	-0.03	11%	5 Nov →
anubis	16–14	-0.01	13%	4 Nov →
mirage	13–10	-0.02	16%	4 Nov →
anubis	13–5	0.03	17%	4 Nov →
overpass	13–3	0.02	21%	4 Nov →
nuke	13–5	0.03	21%	3 Nov →
inferno	4–13	-0.03	19%	3 Nov →
cache	2–13	-0.03	15%	3 Nov →
mirage	13–10	-0.01	9%	3 Nov →
ancient	13–8	-0.05	8%	3 Nov →
nuke	13–2	0.01	15%	3 Nov →
inferno	7–13	-0.06	11%	3 Nov →
nuke	10–13	-0.03	8%	3 Nov →
mirage	8–13	-0.04	10%	3 Nov →
dust2	6–13	-0.02	12%	3 Nov →
vertigo	9–13	-0.03	15%	3 Nov →
mirage	15–15	0.00	18%	3 Nov →
dust2	10–13	0.02	18%	3 Nov →
inferno	2–13	-0.11	10%	3 Nov →
train	6–13	-0.06	13%	3 Nov →
ancient	11–13	-0.09	7%	3 Nov →
ancient	3–13	-0.04	23%	2 Nov →
dust2	7–13	0.03	9%	2 Nov →
cache	13–5	-0.09	17%	2 Nov →
nuke	11–13	-0.00	7%	2 Nov →
train	13–4	0.04	8%	2 Nov →
mirage	6–13	-0.08	9%	2 Nov →
inferno	12–12	-0.01	10%	1 Nov →
ancient	9–13	0.02	8%	31 Oct →
nuke	11–13	-0.01	13%	31 Oct →
debris	9–6	0.03	10%	31 Oct →
dust2	9–13	-0.01	13%	30 Oct →
vertigo	3–13	-0.00	10%	30 Oct →
office	6–13	0.05	10%	30 Oct →
nuke	11–13	-0.05	17%	30 Oct →
mirage	12–12	-0.04	9%	30 Oct →
inferno	13–7	0.00	10%	30 Oct →
mirage	6–13	-0.12	7%	29 Oct →
office	12–12	-0.05	13%	29 Oct →
cache	4–13	-0.04	8%	29 Oct →
inferno	13–6	0.08	11%	29 Oct →
ancient	5–13	-0.11	11%	29 Oct →
nuke	4–13	-0.02	10%	28 Oct →
cache	13–7	-0.03	8%	28 Oct →
overpass	12–6	0.01	24%	28 Oct →
office	12–12	-0.01	14%	28 Oct →
office	12–12	-0.05	8%	28 Oct →
dust2	13–11	0.06	8%	28 Oct →
ancient	13–6	0.01	14%	27 Oct →
vertigo	13–6	-0.04	4%	27 Oct →
dust2	13–7	0.08	14%	27 Oct →
dust2	7–13	-0.04	8%	27 Oct →
office	4–0	-0.08	0%	27 Oct →
overpass	12–12	-0.04	11%	27 Oct →
dust2	13–3	0.07	7%	27 Oct →
dust2	13–9	0.03	23%	26 Oct →
nuke	7–13	0.04	6%	26 Oct →
inferno	13–4	0.01	5%	26 Oct →
cache	13–7	-0.02	23%	26 Oct →
mirage	4–13	0.03	13%	26 Oct →
nuke	13–5	-0.01	4%	26 Oct →
dust2	9–13	0.08	12%	26 Oct →
anubis	8–13	-0.05	8%	26 Oct →
dust2	13–9	0.04	24%	26 Oct →
cache	11–13	-0.05	16%	25 Oct →
nuke	12–12	0.00	18%	25 Oct →
mirage	6–13	-0.04	15%	25 Oct →
cache	13–5	0.03	7%	25 Oct →
train	13–8	0.00	16%	10 Oct →
train	4–13	-0.00	14%	10 Oct →
train	4–13	-0.03	16%	10 Oct →
train	8–13	-0.05	16%	10 Oct →
nuke	4–13	-0.08	33%	6 Oct →
dust2	10–13	-0.08	16%	6 Oct →
cache	13–9	-0.06	14%	3 Oct →
ancient	8–13	-0.07	15%	3 Oct →
vertigo	13–10	0.02	14%	1 Oct →
dust2	3–13	-0.09	13%	1 Oct →
italy	5–13	-0.03	8%	30 Sept →
train	5–13	-0.02	21%	30 Sept →
cache	13–9	-0.05	11%	30 Sept →
nuke	13–4	0.07	21%	29 Sept →
ancient	13–1	0.02	10%	29 Sept →
shelter	2–13	0.07	8%	29 Sept →
dust2	11–13	-0.09	15%	29 Sept →
train	13–9	-0.00	14%	29 Sept →
cache	5–13	-0.00	6%	29 Sept →
inferno	8–13	-0.10	3%	28 Sept →
mirage	8–13	-0.03	17%	27 Sept →
inferno	13–9	0.06	12%	27 Sept →
inferno	1–13	-0.08	7%	27 Sept →
inferno	7–13	-0.05	9%	27 Sept →
dust2	5–13	-0.07	10%	27 Sept →
inferno	1–13	-0.03	16%	27 Sept →
nuke	5–13	-0.01	14%	27 Sept →
mirage	10–13	-0.06	15%	27 Sept →