𝓪𝓷𝓰𝓮𝓵𝓪 — CS2 Stats

CA76561199511615587[U:1:1551349859]Steam profile ↗✓ No bans

1,810Tracked matches50%Win rate2023Tracked since

CSDB Rating7.4 StrongPositional Player

Premier CS Rating21,160Top 50% of 215,066 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#68544 of 261308 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (32 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: 21,160 -1,561 11 Apr – 11 Oct · 29 days played

Faceit ELO: 809 +0 10 Sept – 13 Sept · 2 observations

24,402Peak Premier in tracked matches

809Highest Faceit ELO seen on CSDB

44Days played since 2026-04-11

Faceit ELO

At peak — 809
Next: Level 4 at 901 — 92 to go
Reached: Level 3 · Level 2
Level 3 first seen 2026-09-10
Level 2 first seen 2026-09-10

Premier CS Rating

3,168 below peak (24,328)
-1,104 over 30 days · declining
-1,033 over 90 days
Next: Red band at 25,000 — 3,840 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-10
Purple band first seen 2026-09-10

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.

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Performance scores

Aim85

Positioning70

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLWWLLWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −6.5pp headshot accuracy · −88ms 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

2–3 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 405ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 20%
Avg reaction 474ms

Last 20

7–13 · 35% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 518ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim8.5

Utility5.9

Positioning7.0

Opening Duels5.9

Clutch4.8

Sharp aimerStrong 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 m0NESY 97% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.5

Positioning7.0

Utility5.9

Mechanics7.9

Opening Duels7.1

Win Impact5.0

Composite 7.4/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time506ms−93ms

first ⅓ avg 599ms → last ⅓ avg 506ms

Headshot accuracy23.8%+9.8%

first ⅓ avg 14.1% → last ⅓ avg 23.8%

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

0.16Best match rating · 13–5 · inferno, 23 Apr →

50%Best headshot accuracy · 2–13 · dust2, 13 Sept →

336msFastest reaction time · 11–13 · inferno, 10 Oct →

13–0Biggest win · anubis, 13 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L2Current streak

4–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 61% over 18cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	9–14	39%	0.03
mirage	A	21	12–9	57%	0.01
inferno	A	18	11–7	61%	0.02
ancient	B	16	8–8	50%	0.02
cache	C	8	3–5	38%	0.02
anubis	B	8	4–4	50%	0.00
nuke	C	5	2–3	40%	0.01
office	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Faceit stats

Combat

101Matches

50%Win rate

0.83Avg K/D

81.2ADR

34%Headshot %

Clutches & streaks

44%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	27	56%	0.90	12.5
Inferno	24	33%	0.70	11.7
Mirage	22	41%	0.76	11.4
Vertigo	12	58%	0.68	10.7
Nuke	7	71%	0.91	11.6
Dust2	7	71%	1.23	18.6
Anubis	1	100%	1.46	19.0
Overpass	1	100%	1.57	11.0

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.

22.3%Headshot accuracy

33.4%Accuracy (enemy spotted)

31.2%Spray accuracy

85.5%Counter-strafing

7.3°Preaim

495msReaction time

55.4%T opening success

61.4%CT opening success

0.50Enemies flashed / flash

9.1%Flash assists

6.55HE damage / grenade

14.85Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	0.03	19%	11 Oct →
cache	8–13	-0.00	29%	11 Oct →
ancient	13–8	0.05	23%	11 Oct →
dust2	13–11	-0.00	23%	11 Oct →
inferno	11–13	-0.06	13%	10 Oct →
anubis	11–13	0.10	14%	10 Oct →
ancient	13–6	0.04	16%	10 Oct →
mirage	13–8	-0.01	17%	10 Oct →
dust2	10–13	0.01	25%	10 Oct →
dust2	5–13	-0.02	20%	10 Oct →
nuke	6–13	-0.04	23%	10 Oct →
inferno	9–13	-0.07	25%	10 Oct →
mirage	7–13	-0.02	23%	9 Oct →
cache	13–10	0.05	26%	9 Oct →
inferno	13–9	0.07	36%	30 Sept →
inferno	11–13	0.02	15%	30 Sept →
mirage	3–13	-0.03	26%	29 Sept →
inferno	13–9	0.04	24%	28 Sept →
cache	11–13	0.04	16%	28 Sept →
dust2	2–13	0.15	50%	13 Sept →
mirage	13–10	0.03	13%	27 Aug →
ancient	9–13	0.00	16%	23 Aug →
nuke	5–0	0.06	20%	19 Aug →
ancient	13–9	0.05	26%	17 Aug →
cache	13–3	0.04	24%	16 Aug →
inferno	13–8	0.01	31%	16 Aug →
inferno	13–5	0.05	29%	13 Aug →
mirage	10–13	0.01	20%	13 Aug →
inferno	13–6	0.03	22%	13 Aug →
anubis	13–0	0.08	41%	13 Aug →
mirage	13–1	0.12	47%	13 Aug →
mirage	13–0	0.06	24%	9 Aug →
anubis	13–11	-0.07	10%	9 Aug →
dust2	9–13	-0.02	26%	9 Aug →
anubis	13–5	-0.02	18%	9 Aug →
ancient	13–8	0.02	33%	9 Aug →
cache	3–13	0.00	30%	3 Aug →
cache	10–13	-0.03	25%	3 Aug →
mirage	13–2	-0.02	7%	2 Aug →
dust2	11–13	0.04	33%	1 Aug →
mirage	13–6	-0.04	9%	29 Jul →
anubis	9–13	0.00	11%	28 Jul →
nuke	3–13	-0.01	29%	28 Jul →
dust2	5–13	-0.01	13%	28 Jul →
inferno	14–16	0.00	11%	26 Jul →
mirage	13–3	0.11	12%	26 Jul →
ancient	11–13	0.02	15%	26 Jul →
dust2	13–7	0.12	16%	23 Jul →
dust2	13–4	0.06	9%	21 Jul →
anubis	7–13	-0.04	14%	21 Jul →
inferno	9–13	-0.01	9%	21 Jul →
mirage	13–5	-0.07	20%	19 Jul →
dust2	14–16	0.03	11%	19 Jul →
mirage	13–4	0.08	18%	5 Jul →
ancient	5–13	0.01	16%	30 Jun →
dust2	4–13	0.01	17%	30 Jun →
ancient	4–13	-0.01	8%	28 Jun →
inferno	13–9	0.05	13%	28 Jun →
ancient	13–11	0.03	15%	23 Jun →
ancient	13–5	0.03	8%	31 May →
inferno	16–13	-0.01	10%	31 May →
office	13–9	0.12	21%	13 May →
dust2	13–0	0.08	22%	8 May →
dust2	11–13	-0.04	18%	7 May →
mirage	13–2	-0.04	12%	7 May →
dust2	14–16	0.02	11%	7 May →
ancient	4–13	0.05	10%	7 May →
dust2	15–15	0.07	21%	6 May →
mirage	13–16	-0.00	16%	6 May →
ancient	5–13	-0.05	14%	6 May →
cache	9–13	-0.03	19%	3 May →
cache	13–6	0.08	11%	3 May →
ancient	16–12	0.03	16%	3 May →
mirage	13–7	0.06	24%	3 May →
inferno	13–4	0.04	11%	2 May →
ancient	11–13	-0.05	15%	30 Apr →
nuke	13–3	0.09	13%	24 Apr →
inferno	13–5	0.16	22%	23 Apr →
dust2	13–6	0.12	21%	23 Apr →
mirage	13–0	0.10	29%	23 Apr →
dust2	13–9	0.03	10%	21 Apr →
mirage	7–13	-0.01	17%	21 Apr →
dust2	5–13	0.01	22%	20 Apr →
dust2	15–15	0.06	14%	18 Apr →
ancient	13–16	0.02	4%	17 Apr →
nuke	2–13	-0.07	7%	17 Apr →
mirage	8–13	-0.01	13%	17 Apr →
dust2	13–11	-0.03	13%	17 Apr →
inferno	8–13	-0.03	12%	17 Apr →
inferno	13–6	-0.00	12%	15 Apr →
anubis	13–10	-0.01	9%	15 Apr →
mirage	15–15	0.02	13%	12 Apr →
mirage	10–13	-0.05	9%	12 Apr →
dust2	16–12	-0.01	8%	12 Apr →
inferno	13–9	0.05	17%	12 Apr →
ancient	13–5	0.04	10%	12 Apr →
dust2	12–16	-0.00	9%	12 Apr →
dust2	13–7	0.06	8%	11 Apr →
anubis	4–13	-0.03	11%	11 Apr →
inferno	5–13	-0.02	14%	11 Apr →