Ducky

Ducky — CS2 Stats

GB76561199452713938[U:1:1492448210]Steam profile ↗✓ No bans

283Tracked matches46%Win rate2025Tracked since
CSDB Rating3.7 LearningPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

+77Tracked matches · now 283
−9.4ppWin rate · 55.6% → 46.2%

Rating over time

36Days played since 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim45
Positioning35
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY49–39–12Last 10049%Win rateLWLTWWLWWT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · +92ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 701ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 731ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 685ms

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 (+2.1 against its own average).

Aim4.5
Utility0.8
Positioning3.5
Opening Duels0.0

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 33% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms 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

Aim4.5
Positioning3.5
Utility0.8
Mechanics7.2
Opening Duels0.4
Win Impact3.7

Composite 3.7/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time688ms+48ms
first ⅓ avg 640ms → last ⅓ avg 688ms
Headshot accuracy16.2%+3.0%
first ⅓ avg 13.3% → last ⅓ avg 16.2%

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

0.05Best match rating · 13–4 · italy, 21 Sept →
50%Best headshot accuracy · 6–13 · dust2, 30 Oct →
484msFastest reaction time · 5–13 · dust2, 23 Sept →
13–1Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 71% over 7dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D185–1328%-0.05
infernoB168–850%-0.05
ancientA169–756%-0.04
anubisB147–750%-0.03
nukeA127–558%-0.06
mirageB105–550%-0.05
cacheS75–271%-0.02
office—21–150%-0.04
vertigo—21–150%-0.04
italy—21–150%-0.02
train—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
27.5%Accuracy (enemy spotted)
27.3%Spray accuracy
82.2%Counter-strafing
8.7°Preaim
688msReaction time
16.7%T opening success
32.9%CT opening success
0.04Enemies flashed / flash
0.5%Flash assists
7.99HE damage / grenade
0.81Flashes / 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.

  1. 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 0.0401 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 16.6945% — below the 40% mark we flag

Spend your practice time on Dust 2

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0724%13 Nov →
inferno13–1-0.025%13 Nov →
ancient6–13-0.0526%13 Nov →
office12–12-0.0614%11 Nov →
mirage13–11-0.0213%11 Nov →
mirage9–10-0.0417%10 Nov →
ancient3–13-0.094%9 Nov →
anubis13–11-0.0117%9 Nov →
ancient13–6-0.0320%9 Nov →
dust212–12-0.073%9 Nov →
mirage5–13-0.085%5 Nov →
inferno12–12-0.0613%5 Nov →
anubis13–3-0.0128%5 Nov →
nuke10–13-0.0713%4 Nov →
inferno13–2-0.0713%4 Nov →
dust28–13-0.0422%4 Nov →
ancient13–10-0.0814%4 Nov →
mirage8–13-0.0615%4 Nov →
inferno11–13-0.0916%3 Nov →
nuke13–60.0117%3 Nov →
nuke12–12-0.0612%2 Nov →
dust210–13-0.0223%2 Nov →
anubis11–13-0.0812%1 Nov →
cache4–13-0.0620%1 Nov →
dust26–13-0.0450%30 Oct →
mirage13–30.0423%23 Oct →
dust29–13-0.0113%22 Oct →
ancient13–5-0.0417%21 Oct →
mirage6–13-0.1018%21 Oct →
cache6–10.0320%21 Oct →
dust213–9-0.0712%21 Oct →
anubis12–12-0.006%21 Oct →
vertigo12–12-0.0711%21 Oct →
dust28–13-0.058%20 Oct →
anubis5–13-0.0316%19 Oct →
inferno13–11-0.0810%15 Oct →
anubis13–4-0.0317%15 Oct →
ancient5–13-0.0711%14 Oct →
cache13–50.0512%14 Oct →
anubis13–10-0.0313%14 Oct →
dust213–9-0.063%14 Oct →
mirage13–11-0.0416%14 Oct →
nuke13–5-0.0825%6 Oct →
anubis13–7-0.077%6 Oct →
inferno4–12-0.068%3 Oct →
ancient13–11-0.025%3 Oct →
dust20–8-0.0540%29 Sept →
nuke13–9-0.0212%28 Sept →
anubis6–13-0.0714%28 Sept →
inferno10–13-0.0323%28 Sept →
dust28–13-0.0511%28 Sept →
ancient13–100.0118%28 Sept →
ancient5–13-0.0711%28 Sept →
anubis11–13-0.0311%23 Sept →
nuke13–6-0.0517%23 Sept →
inferno13–7-0.0416%23 Sept →
dust25–13-0.0512%23 Sept →
inferno13–5-0.0520%23 Sept →
cache12–12-0.0314%22 Sept →
nuke9–4-0.139%21 Sept →
nuke6–9-0.107%21 Sept →
italy12–12-0.083%21 Sept →
office13–3-0.0111%21 Sept →
italy13–40.055%21 Sept →
vertigo9–4-0.0113%21 Sept →
dust213–6-0.0426%21 Sept →
mirage13–10-0.0810%21 Sept →
nuke13–11-0.0119%21 Sept →
dust27–13-0.0115%20 Sept →
ancient10–13-0.0314%20 Sept →
inferno10–13-0.0410%17 Sept →
ancient13–10-0.066%17 Sept →
cache13–3-0.0111%17 Sept →
inferno12–12-0.0817%16 Sept →
cache13–10-0.0410%16 Sept →
mirage12–12-0.048%16 Sept →
dust27–13-0.0725%16 Sept →
anubis8–13-0.0415%14 Sept →
inferno10–0-0.0022%12 Sept →
nuke5–7-0.055%12 Sept →
dust28–13-0.0419%12 Sept →
train6–13-0.0724%12 Sept →
cache13–7-0.0412%11 Sept →
ancient9–13-0.0317%11 Sept →
inferno13–50.0110%10 Sept →
ancient13–11-0.0715%10 Sept →
ancient13–6-0.016%9 Sept →
inferno12–12-0.0926%9 Sept →
ancient13–2-0.038%8 Sept →
inferno13–5-0.0217%8 Sept →
anubis7–13-0.035%8 Sept →
dust213–7-0.0317%8 Sept →
nuke8–13-0.0611%7 Sept →
anubis13–11-0.028%6 Sept →
ancient4–130.0411%6 Sept →
nuke13–9-0.0519%6 Sept →
dust213–10-0.0711%6 Sept →
dust21–13-0.069%6 Sept →
inferno12–12-0.039%5 Sept →
anubis13–6-0.007%5 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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