duck🐤 — CS2 Stats

76561197987696801[U:1:27431073]Steam profile ↗✓ No bans

3,425Tracked matches66%Win rate2020Tracked since

CSDB Rating6.6 SolidSupport

Premier CS Rating24,549Top 25% of 212,695 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#27480 of 259566 tracked

FaceitLevel 10 · 2,394 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 24,549 -3,057 23 Mar – 1 Nov · 22 days played

Faceit ELO: 2,394 +0 30 Aug – 18 Sept · 5 observations

28,602Peak Premier in tracked matches

2,394Highest Faceit ELO seen on CSDB

34Days played since 2026-03-23

Faceit ELO

At peak — 2,394
Next: 2,500 ELO at 2,500 — 106 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-30
Level 9 first seen 2026-08-30

Premier CS Rating

3,800 below peak (28,349)
Next: Red band at 25,000 — 451 to go
Reached: Red band · Pink band · Purple band · Blue band

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

Aim86

Positioning44

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWLLWLWWLWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −5.7pp headshot accuracy · −15ms reaction

Win rate 0pp 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 0.01
Avg headshot accuracy 15%
Avg reaction 447ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 469ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 476ms

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 (+1.6 against its own average).

Aim8.6

Utility5.8

Positioning4.4

Opening Duels1.8

Clutch4.6

Sharp aimer

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: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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

Aim8.6

Positioning4.4

Utility5.8

Mechanics6.9

Opening Duels1.3

Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time500ms−57ms

first ⅓ avg 557ms → last ⅓ avg 500ms

Headshot accuracy19.0%+3.3%

first ⅓ avg 15.7% → last ⅓ avg 19.0%

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

0.16Best match rating · 13–5 · inferno, 4 Apr →

55%Best headshot accuracy · 13–5 · dust2, 8 Oct →

344msFastest reaction time · 13–3 · inferno, 15 Apr →

13–1Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

11–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 75% over 20ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	21	10–11	48%	0.01
nuke	S	20	15–5	75%	0.05
inferno	A	14	8–6	57%	0.00
overpass	C	12	5–7	42%	0.00
ancient	D	11	3–8	27%	0.01
dust2	A	9	5–4	56%	0.01
cache	A	7	4–3	57%	-0.00
mirage	B	6	3–3	50%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,720Matches

50%Win rate

1.03Avg K/D

80.8ADR

36%Headshot %

Clutches & streaks

43%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	160	56%	1.04	15.5
Nuke	155	64%	1.24	16.4
Inferno	137	53%	1.14	16.2
Ancient	108	41%	0.97	14.4
Overpass	67	55%	1.19	16.4
Dust2	49	47%	1.08	16.5
Train	14	50%	0.99	16.5
Cache	9	56%	1.24	17.6

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.

19.4%Headshot accuracy

38.5%Accuracy (enemy spotted)

38.4%Spray accuracy

80.8%Counter-strafing

8.8°Preaim

502msReaction time

34.1%T opening success

36.2%CT opening success

0.57Enemies flashed / flash

5.3%Flash assists

8.14HE damage / grenade

7.43Flashes / 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 34.091% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.04	25%	1 Nov →
cache	11–13	-0.04	20%	24 Oct →
ancient	3–13	-0.00	8%	24 Oct →
nuke	13–1	0.07	7%	24 Oct →
inferno	8–13	-0.02	16%	24 Oct →
mirage	13–9	0.04	19%	24 Oct →
anubis	13–6	0.05	25%	20 Oct →
anubis	7–13	0.06	13%	14 Oct →
cache	13–9	0.02	19%	13 Oct →
nuke	13–10	0.02	14%	10 Oct →
mirage	6–13	-0.03	27%	10 Oct →
mirage	13–9	0.00	16%	9 Oct →
dust2	13–5	0.03	55%	8 Oct →
cache	13–10	0.05	13%	8 Oct →
inferno	13–5	0.03	24%	8 Oct →
cache	4–13	-0.00	20%	8 Oct →
mirage	4–13	-0.04	25%	27 Sept →
dust2	13–11	0.03	19%	27 Sept →
cache	9–13	-0.04	13%	24 Aug →
anubis	13–8	0.05	12%	24 Aug →
dust2	15–15	0.03	19%	24 Aug →
mirage	13–9	0.04	23%	31 Jul →
ancient	8–13	-0.01	21%	31 Jul →
cache	13–10	-0.02	17%	31 Jul →
nuke	13–4	0.15	23%	31 Jul →
nuke	16–13	-0.02	16%	4 Jul →
overpass	13–16	-0.03	24%	16 May →
nuke	13–11	0.06	22%	16 May →
overpass	13–4	0.00	13%	9 May →
inferno	13–11	0.02	18%	9 May →
overpass	13–16	-0.05	12%	3 May →
inferno	11–13	0.01	18%	3 May →
anubis	13–10	-0.00	14%	2 May →
anubis	9–13	0.07	23%	2 May →
cache	13–9	0.03	8%	29 Apr →
overpass	10–13	0.03	7%	26 Apr →
anubis	6–13	0.01	21%	26 Apr →
nuke	11–13	0.01	10%	25 Apr →
inferno	3–13	-0.11	16%	25 Apr →
nuke	13–9	0.03	22%	25 Apr →
nuke	8–13	-0.00	11%	24 Apr →
anubis	13–11	0.02	18%	24 Apr →
inferno	13–11	-0.01	18%	21 Apr →
nuke	13–3	0.12	11%	21 Apr →
mirage	5–13	0.00	13%	21 Apr →
nuke	13–7	0.10	15%	21 Apr →
nuke	8–13	0.10	20%	21 Apr →
nuke	13–10	-0.00	16%	18 Apr →
dust2	13–8	-0.02	22%	18 Apr →
nuke	13–9	0.07	21%	18 Apr →
nuke	13–7	0.08	10%	17 Apr →
nuke	13–3	0.15	16%	16 Apr →
anubis	13–7	-0.05	21%	16 Apr →
dust2	11–13	-0.03	13%	15 Apr →
anubis	9–3	-0.00	38%	15 Apr →
overpass	13–8	0.01	7%	15 Apr →
inferno	13–3	0.06	12%	15 Apr →
anubis	13–10	-0.01	7%	12 Apr →
ancient	13–16	0.01	14%	12 Apr →
anubis	10–13	-0.01	7%	12 Apr →
dust2	8–13	-0.06	6%	9 Apr →
inferno	13–11	-0.03	24%	9 Apr →
inferno	5–13	-0.05	17%	7 Apr →
anubis	6–13	-0.00	10%	7 Apr →
overpass	1–13	-0.06	6%	7 Apr →
overpass	8–13	-0.03	8%	5 Apr →
nuke	15–15	-0.00	15%	5 Apr →
inferno	13–11	-0.02	29%	5 Apr →
overpass	13–5	0.04	8%	5 Apr →
dust2	13–11	0.06	15%	5 Apr →
ancient	13–6	0.05	20%	5 Apr →
inferno	9–13	-0.01	14%	4 Apr →
anubis	5–13	-0.03	17%	4 Apr →
dust2	9–13	0.05	26%	4 Apr →
nuke	13–11	0.04	14%	4 Apr →
anubis	13–3	0.10	16%	4 Apr →
overpass	8–13	0.07	16%	4 Apr →
anubis	6–13	-0.04	6%	4 Apr →
anubis	13–10	-0.02	24%	4 Apr →
ancient	13–11	0.03	13%	4 Apr →
inferno	13–5	0.16	20%	4 Apr →
anubis	11–13	-0.03	15%	3 Apr →
overpass	13–7	0.03	12%	3 Apr →
nuke	13–9	0.01	14%	3 Apr →
ancient	7–13	-0.04	19%	3 Apr →
inferno	9–13	-0.02	9%	3 Apr →
anubis	15–15	0.08	13%	3 Apr →
nuke	6–13	-0.01	14%	3 Apr →
ancient	3–13	-0.05	13%	3 Apr →
anubis	9–13	0.00	5%	3 Apr →
dust2	16–14	-0.00	23%	1 Apr →
anubis	13–9	0.03	20%	1 Apr →
ancient	15–15	0.07	14%	1 Apr →
overpass	13–7	-0.01	9%	1 Apr →
nuke	13–6	0.05	17%	1 Apr →
ancient	8–13	0.00	16%	28 Mar →
inferno	13–8	0.05	16%	28 Mar →
overpass	12–16	0.01	15%	28 Mar →
ancient	9–13	0.01	17%	28 Mar →
anubis	5–13	-0.03	16%	23 Mar →