DucketHat

DucketHat — CS2 Stats

MM76561198854602838[U:1:894337110]Steam profile ↗✓ No bans

902Tracked matches68%Win rate2021Tracked since
1,436Hours in CS
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,482 -1,034 28 Feb – 20 Jun · 16 days played
16,83119,730peak 19,73028 Feb20 Jun
19,730Peak Premier in tracked matches
1,186Highest Faceit ELO seen on CSDB
57Days played since 2025-02-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate46.1%44.8%45.7%meets
Shot accuracy12.3%12.4%12.7%0.4% short
Kill/death ratio0.911.031.050.14 short
Match win rate48.0%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDucketHatFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,186csdb.gg/stats

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Performance scores

Aim50
Positioning41
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLTTWLWLLWW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +4.3pp headshot accuracy · +86ms reaction

Win rate down 30pp 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 714ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 666ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 623ms

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 (+1.5 against its own average).

Aim5.0
Utility2.8
Positioning4.1
Opening Duels1.5
Clutch1.8

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

iM

Plays most like iM 91% 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. 647ms 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

Aim5.0
Positioning4.1
Utility2.8
Mechanics4.6
Opening Duels1.1
Win Impact10.0

Composite 4.5/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time644ms+27ms
first ⅓ avg 617ms → last ⅓ avg 644ms
Headshot accuracy18.9%−0.6%
first ⅓ avg 19.5% → last ⅓ avg 18.9%

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

0.12Best match rating · 13–8 · dust2, 15 Aug →
34%Best headshot accuracy · 15–15 · dust2, 16 May →
406msFastest reaction time · 13–1 · dust2, 18 Apr →
13–1Biggest win · dust2, 18 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 71% over 14infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%-0.01
dust2D248–1633%-0.02
anubisD174–1324%-0.02
ancientS1410–471%-0.00
infernoD51–420%-0.05
trainC52–340%-0.02
nuke—43–175%-0.03
overpass—11–0100%0.04
jura—10–10%-0.01
vertigo—10–10%-0.02
brewery—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,885Lifetime kills
0.91K/D
3,313Matches
48.0%Match win rate · Top 50% of Level 6 players
46.1%Headshot % · Top 50% of Level 6 players
12.3%Shot accuracy
7,870MVPs
1,436Hours (in match)
2,112Bombs planted
1,985Bombs defused

Most-used weapons

AK-4720,527
AWP6,348
MP91,471
FAMAS1,348
MAC-101,253

Lifetime map wins

6,160vertigo
4,586inferno
3,753dust2
2,142nuke
1,198train
189office
51lake
49italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

623Matches
50%Win rate
0.94Avg K/D
73.6ADR
40%Headshot %

Clutches & streaks

29%1v1 clutch win
27%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2259%1.0914.9
Ancient1953%0.9915.0
Anubis1735%0.9814.2
Dust21553%0.8213.3
Inferno944%0.8713.1
Train450%0.6811.3
Nuke333%0.9916.0
Vertigo333%1.1620.3

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.

18.4%Headshot accuracy
31.1%Accuracy (enemy spotted)
36.2%Spray accuracy
70.8%Counter-strafing
10.4°Preaim
647msReaction time
28.6%T opening success
38.7%CT opening success
0.65Enemies flashed / flash
5.6%Flash assists
8.38HE damage / grenade
13.73Flashes / 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. 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 28.5948% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis2–13-0.0111%29 Jul →
mirage12–12-0.0531%1 Feb →
dust212–12-0.0425%20 Nov →
anubis13–70.0630%4 Nov →
dust29–13-0.0121%18 Oct →
dust213–110.0114%18 Oct →
inferno3–9-0.1530%18 Oct →
mirage6–13-0.0323%13 Oct →
mirage13–9-0.0121%28 Sept →
dust213–70.0517%28 Sept →
mirage13–10-0.0419%31 Aug →
inferno1–13-0.0118%29 Aug →
train11–13-0.0225%29 Aug →
mirage16–130.0031%25 Aug →
ancient1–13-0.0917%24 Aug →
train13–6-0.0515%24 Aug →
ancient13–20.0414%24 Aug →
mirage19–16-0.0116%24 Aug →
inferno13–50.0013%24 Aug →
ancient13–110.0012%23 Aug →
train13–100.019%23 Aug →
ancient13–4-0.0110%23 Aug →
inferno10–13-0.048%23 Aug →
mirage22–20-0.0318%23 Aug →
mirage13–70.0221%23 Aug →
dust213–80.1217%15 Aug →
mirage13–80.0619%15 Aug →
mirage13–90.0719%2 Aug →
mirage14–16-0.059%31 Jul →
train11–13-0.0221%29 Jul →
overpass13–80.0425%29 Jul →
dust211–13-0.0415%10 Jul →
mirage1–4-0.0833%5 Jul →
mirage8–130.057%25 Jun →
anubis8–130.0422%22 Jun →
ancient16–13-0.0114%21 Jun →
dust213–11-0.0217%20 Jun →
dust29–13-0.0526%18 Jun →
mirage4–13-0.0210%15 Jun →
inferno12–12-0.0320%15 Jun →
dust28–13-0.0725%15 Jun →
jura0–3-0.010%13 Jun →
anubis11–13-0.0525%12 Jun →
mirage13–4-0.0118%12 Jun →
dust211–13-0.0120%10 Jun →
mirage13–70.0120%10 Jun →
dust23–13-0.0424%2 Jun →
ancient13–3-0.0030%2 Jun →
train5–13-0.0323%2 Jun →
mirage9–130.0427%29 May →
anubis13–9-0.0116%29 May →
ancient13–70.0617%28 May →
mirage13–7-0.0716%28 May →
dust21–13-0.0713%25 May →
dust210–13-0.0319%24 May →
anubis5–13-0.0410%23 May →
dust26–13-0.0217%20 May →
dust22–13-0.048%18 May →
mirage13–80.0512%18 May →
anubis6–13-0.068%18 May →
dust213–8-0.0219%17 May →
dust215–150.0034%16 May →
mirage13–16-0.0624%14 May →
ancient8–13-0.0218%14 May →
vertigo9–13-0.0223%14 May →
brewery5–9-0.113%14 May →
nuke13–7-0.0418%8 May →
mirage9–13-0.0333%8 May →
anubis11–13-0.0327%7 May →
anubis6–13-0.0412%5 May →
dust213–11-0.0416%5 May →
anubis13–70.0319%5 May →
anubis10–13-0.0817%27 Apr →
anubis13–70.0731%24 Apr →
mirage14–16-0.0633%24 Apr →
dust213–16-0.0721%24 Apr →
dust220–22-0.0327%24 Apr →
nuke13–11-0.0929%21 Apr →
dust23–13-0.0714%20 Apr →
anubis9–13-0.0816%20 Apr →
dust213–10.0026%18 Apr →
dust213–70.0125%28 Feb →
mirage8–13-0.0025%24 Feb →
dust29–13-0.0623%22 Feb →
ancient13–60.065%20 Feb →
ancient16–14-0.0522%20 Feb →
anubis4–13-0.0611%19 Feb →
mirage13–60.0417%18 Feb →
anubis14–16-0.0511%12 Feb →
ancient13–60.0218%12 Feb →
anubis6–13-0.0511%12 Feb →
anubis13–160.0318%12 Feb →
ancient13–90.0226%12 Feb →
mirage13–11-0.0713%10 Feb →
nuke13–110.0120%10 Feb →
mirage13–70.0117%10 Feb →
ancient9–13-0.0215%7 Feb →
mirage13–1-0.0513%7 Feb →
ancient11–13-0.0422%4 Feb →
nuke10–130.0110%3 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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