𝕜𝔼𝕋𝕂𝕌 — CS2 Stats

FI76561197979335037[U:1:19069309]Steam profile ↗✓ No bans

2,170Tracked matches54%Win rate2020Tracked since

CSDB Rating5.4 DevelopingPositional Player

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,170 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,458 -109 30 Jun – 7 Jul · 2 days played

25,567Peak Premier in tracked matches

32Days played since 2025-05-26

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

Aim65

Positioning55

Utility52

0–100 skill scores via Leetify.

Recent form

COLD61–35–4Last 10061%Win rateLWLWTTLLLL

Last 10 vs previous 10: −70pp win rate · −0.04 avg rating · +2.6pp headshot accuracy · +127ms reaction

Win rate down 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

2–2–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 641ms

Last 10

2–6–2 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 666ms

Last 20

11–7–2 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 602ms

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 (+1.3 against its own average).

Aim6.5

Utility5.2

Positioning5.5

Opening Duels2.5

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 ZywOo 88% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 597ms 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

Aim6.5

Positioning5.5

Utility5.2

Mechanics5.7

Opening Duels0.6

Win Impact6.2

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time598ms+14ms

first ⅓ avg 584ms → last ⅓ avg 598ms

Headshot accuracy16.7%+1.3%

first ⅓ avg 15.4% → last ⅓ avg 16.7%

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

0.18Best match rating · 13–1 · overpass, 5 May →

33%Best headshot accuracy · 0–2 · nuke, 20 May →

391msFastest reaction time · 13–1 · overpass, 5 May →

13–0Biggest win · inferno, 27 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 68% over 40mirageWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	40	27–13	68%	0.01
inferno	A	28	18–10	64%	0.02
mirage	D	10	3–7	30%	-0.02
cache	A	7	4–3	57%	0.02
overpass	C	5	2–3	40%	0.01
dust2	—	3	2–1	67%	0.03
ancient	—	3	2–1	67%	0.03
train	—	3	2–1	67%	0.02
anubis	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,988Matches

51%Win rate

1.17Avg K/D

82.0ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	162	59%	1.27	16.9
Nuke	134	63%	1.13	16.9
Mirage	104	33%	1.10	16.6
Overpass	35	46%	1.13	17.0
Train	32	47%	1.03	16.1
Dust2	19	32%	0.89	14.7
Ancient	12	42%	0.90	13.3
Anubis	4	50%	0.85	14.0

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.

16.5%Headshot accuracy

35.4%Accuracy (enemy spotted)

41.6%Spray accuracy

75.8%Counter-strafing

10.9°Preaim

597msReaction time

31.3%T opening success

33.8%CT opening success

0.60Enemies flashed / flash

10.0%Flash assists

6.80HE damage / grenade

7.04Flashes / 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 31.31% — 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.

30% win rate across 10 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
cache	6–13	-0.04	16%	17 Jul →
nuke	13–6	0.07	22%	17 Jul →
nuke	1–13	-0.03	13%	17 Jul →
inferno	13–5	0.00	26%	17 Jul →
inferno	12–12	0.03	17%	16 Jun →
cache	12–12	0.01	14%	20 May →
nuke	5–13	-0.04	13%	20 May →
nuke	0–2	-0.02	33%	20 May →
nuke	11–13	0.02	8%	18 May →
cache	3–13	-0.02	19%	18 May →
inferno	13–10	0.00	13%	18 May →
cache	13–2	0.17	23%	11 May →
nuke	13–7	0.02	16%	11 May →
cache	13–11	0.00	16%	11 May →
inferno	9–13	-0.03	17%	5 May →
overpass	13–1	0.18	17%	5 May →
cache	13–8	0.00	8%	29 Apr →
cache	13–11	-0.01	12%	29 Apr →
inferno	13–8	0.02	18%	28 Apr →
nuke	13–9	0.03	15%	28 Apr →
dust2	7–13	-0.01	28%	28 Apr →
inferno	13–0	0.02	28%	27 Apr →
overpass	9–13	-0.02	11%	27 Apr →
dust2	13–5	0.09	13%	27 Apr →
mirage	6–13	-0.06	14%	27 Apr →
nuke	3–13	-0.07	16%	5 Apr →
mirage	2–13	-0.08	19%	5 Apr →
nuke	13–4	0.07	17%	5 Apr →
inferno	2–13	-0.08	18%	5 Apr →
inferno	13–9	-0.05	20%	24 Mar →
nuke	13–2	-0.01	12%	24 Mar →
nuke	10–13	-0.03	8%	12 Mar →
ancient	13–8	0.04	12%	12 Mar →
mirage	8–13	-0.05	21%	12 Mar →
nuke	7–13	-0.03	13%	29 Jan →
mirage	5–13	0.02	22%	29 Jan →
inferno	13–9	0.01	14%	27 Jan →
nuke	13–5	-0.03	18%	27 Jan →
nuke	13–7	0.06	18%	27 Jan →
inferno	2–13	-0.07	15%	27 Jan →
inferno	9–13	0.03	23%	26 Jan →
nuke	13–6	0.04	15%	26 Jan →
inferno	13–4	0.06	15%	3 Jan →
nuke	13–3	-0.07	15%	3 Jan →
nuke	13–3	0.11	14%	26 Nov →
ancient	13–11	0.01	13%	18 Nov →
dust2	13–4	0.01	29%	18 Nov →
mirage	16–12	0.01	17%	18 Nov →
nuke	7–13	0.01	16%	13 Nov →
nuke	13–6	-0.02	13%	13 Nov →
overpass	4–13	-0.02	17%	13 Nov →
mirage	7–13	-0.04	10%	13 Nov →
inferno	4–13	-0.00	21%	13 Nov →
train	13–3	0.05	9%	10 Nov →
inferno	7–13	0.01	10%	10 Nov →
train	13–7	0.03	6%	10 Nov →
inferno	13–9	-0.00	21%	10 Nov →
nuke	13–1	0.08	13%	3 Nov →
inferno	13–4	0.01	11%	3 Nov →
nuke	8–2	0.00	3%	3 Nov →
nuke	13–7	0.02	9%	25 Sept →
nuke	13–1	0.04	17%	25 Sept →
inferno	11–13	0.06	9%	25 Sept →
overpass	8–13	-0.03	7%	25 Sept →
nuke	6–3	-0.05	13%	25 Sept →
inferno	13–0	0.06	12%	2 Sept →
overpass	13–6	-0.05	20%	2 Sept →
nuke	13–11	-0.04	10%	30 Aug →
nuke	13–8	0.04	21%	30 Aug →
inferno	13–8	0.03	16%	30 Aug →
mirage	4–13	-0.11	15%	30 Aug →
anubis	11–0	0.10	8%	30 Aug →
nuke	11–13	-0.00	10%	30 Aug →
nuke	12–12	-0.01	13%	30 Aug →
ancient	11–13	0.03	23%	26 Aug →
nuke	12–12	0.03	12%	24 Aug →
inferno	10–13	0.01	23%	24 Aug →
mirage	13–9	0.03	12%	24 Aug →
nuke	13–7	0.01	7%	7 Jul →
nuke	13–2	0.09	19%	7 Jul →
inferno	7–3	0.04	18%	7 Jul →
nuke	13–4	-0.02	20%	7 Jul →
mirage	7–13	0.01	21%	7 Jul →
nuke	13–4	0.12	22%	4 Jul →
nuke	13–1	0.08	17%	4 Jul →
inferno	13–3	0.07	8%	4 Jul →
nuke	13–7	0.07	19%	4 Jul →
nuke	13–5	0.03	11%	2 Jul →
nuke	11–13	-0.04	15%	2 Jul →
inferno	13–7	0.05	9%	30 Jun →
nuke	13–7	0.05	11%	30 Jun →
mirage	13–10	0.09	20%	30 Jun →
inferno	13–9	0.07	20%	28 May →
nuke	19–16	-0.04	11%	28 May →
nuke	11–13	-0.01	10%	28 May →
inferno	13–11	0.02	22%	28 May →
inferno	12–16	-0.01	18%	28 May →
train	9–13	-0.02	10%	28 May →
inferno	13–11	0.04	18%	28 May →
inferno	13–9	0.05	21%	26 May →