DUCK1E?♡™

DUCK1E?♡™ — CS2 Stats

US76561199626959881[U:1:1666694153]Steam profile ↗

324Tracked matches70%Win rate2024Tracked since
168Hours in CS
CSDB Rating7.6 StrongEntry Fragger
Premier CS Rating19,568Purple band · top ~10.2% of ranked players (population est.)
CSDB Leaderboard#8537 of 18235 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGDUCK1E?♡™FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,568 · Purple bandcsdb.gg/stats

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Performance scores

Aim98
Positioning74
Utility29

0–100 skill scores via Leetify.

Recent form

HOT73234Last 10073%Win rateWWWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.08 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.8
Aggression10.0
Utility2.9
Positioning7.4
Opening Duels8.2
Clutch0.0

Sharp aimerLimited 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.

Your pro match

s1mple

Plays most like s1mple 90% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower 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 98 — the mechanical foundation is a clear strength.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim9.8
Positioning7.4
Utility2.9
Mechanics5.9
Opening Duels8.2
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.06−0.02
first ⅓ avg 0.07 → last ⅓ avg 0.06
Reaction time468ms+84ms
first ⅓ avg 384ms → last ⅓ avg 468ms
Headshot accuracy31.3%−11.4%
first ⅓ avg 42.7% → last ⅓ avg 31.3%

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.

Highlights

0.27Best rating — nuke 16–14
130Biggest win — ancient
12Longest win streak
W10Current streak
120In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 88% over 8infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2017385%0.08
nukeS1914574%0.08
dust2S1613381%0.09
ancientS87188%0.08
infernoC83538%0.06
cacheS76186%0.07
trainB63350%0.05
anubisC52340%0.01
officeA53260%0.02
overpass440100%0.14
vertigo110100%0.02
grail1010%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,014Lifetime kills
1.69K/D · Top 5% of tracked players
470Matches
66.4%Match win rate · Top 5% of tracked players
51.6%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
1,704MVPs
168Hours (in match)
599Bombs planted
187Bombs defused

Most-used weapons

Lifetime map wins

859dust2
724nuke
676inferno
246train
140office
99vertigo
10italy

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

Faceit stats

Combat

12Matches
67%Win rate
1.07Avg K/D
63.2ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage425%1.3612.5
Inferno3100%1.1312.0
Nuke2100%1.3012.0
Overpass10%0.365.0
Anubis1100%0.6712.0
Ancient1100%0.365.0

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.

31.2%Headshot accuracy
46.1%Accuracy (enemy spotted)
35.9%Spray accuracy
76.5%Counter-strafing
6.7°Preaim
438msReaction time
66.6%T opening success
59.2%CT opening success
0.43Enemies flashed / flash
10.6%Flash assists
7.83HE damage / grenade
3.45Flashes / 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 0.4291 — below the 0.5 mark we flag

    Grenade Lineups
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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–110.0828%15 Aug
dust213–110.1321%15 Aug
nuke13–80.2154%14 Aug
mirage13–20.1358%14 Aug
ancient13–50.0826%14 Aug
cache13–90.1569%13 Aug
cache13–110.0360%12 Aug
mirage13–60.1036%12 Aug
train13–60.1433%12 Aug
train13–60.0347%12 Aug
dust26–130.0727%5 Aug
inferno5–13-0.0227%5 Aug
nuke8–13-0.0140%5 Aug
dust213–10-0.0215%4 Aug
cache13–100.0626%3 Aug
dust213–50.1032%3 Aug
cache7–13-0.0215%3 Aug
mirage6–13-0.0317%26 Jul
nuke16–140.1222%26 Jul
anubis2–13-0.0324%26 Jul
cache16–140.0722%26 Jul
dust213–70.0150%26 Jul
anubis2–13-0.0310%26 Jul
dust213–80.0220%26 Jul
mirage13–90.0310%26 Jul
dust27–110.0932%25 Jul
ancient13–100.1122%25 Jul
ancient9–13-0.0028%24 Jul
cache16–140.0637%24 Jul
mirage13–30.0638%24 Jul
nuke13–60.0317%24 Jul
inferno13–40.0836%24 Jul
nuke3–70.0436%24 Jul
nuke13–100.0222%24 Jul
nuke13–7-0.0515%24 Jul
nuke13–50.0131%24 Jul
vertigo13–100.028%23 Jul
cache13–60.1526%22 Jul
nuke13–70.2032%22 Jul
inferno16–130.1016%18 Dec
nuke15–150.0635%5 Dec
mirage13–70.0842%5 Dec
nuke16–140.2733%5 Dec
inferno13–20.0910%5 Dec
train5–130.0324%5 Dec
inferno13–160.1428%4 Dec
overpass13–50.1029%3 Dec
mirage13–100.0930%3 Dec
mirage13–60.0928%3 Dec
dust213–100.1020%3 Dec
nuke13–80.0929%3 Dec
mirage13–70.1417%2 Dec
nuke10–130.0416%2 Dec
overpass13–90.2023%2 Dec
nuke16–130.1130%2 Dec
mirage13–100.0922%2 Dec
dust213–90.1533%1 Dec
mirage13–10.1443%1 Dec
nuke13–110.0227%1 Dec
nuke13–60.1029%1 Dec
ancient13–11-0.0218%1 Dec
overpass13–20.1232%1 Dec
dust213–40.1133%1 Dec
nuke16–140.1425%1 Dec
mirage13–10.1720%1 Dec
office9–13-0.0917%1 Dec
mirage13–60.0428%1 Dec
mirage13–40.0626%1 Dec
overpass13–50.1438%1 Dec
ancient13–00.1117%30 Nov
office5–13-0.0620%30 Nov
office13–80.0123%30 Nov
ancient13–40.2556%26 May
inferno12–120.000%26 May
dust25–10.1065%25 May
grail2–70.1137%25 May
train13–100.0558%25 May
train10–13-0.0642%24 May
office13–10.0747%23 May
office4–00.1569%23 May
dust213–30.1236%23 May
train8–130.1036%22 May
anubis16–140.0346%1 Apr
mirage13–20.2090%1 Apr
dust213–90.0551%1 Apr
mirage7–60.1150%1 Apr
mirage13–80.1160%1 Apr
inferno13–160.0833%1 Apr
ancient6–20.0789%29 Mar
mirage10–13-0.0527%29 Mar
mirage6–130.0724%29 Mar
anubis5–130.0223%29 Mar
ancient16–120.0325%27 Mar
mirage13–70.0753%26 Mar
dust210–10.2276%25 Mar
dust215–150.0975%25 Mar
nuke15–150.0927%25 Mar
inferno3–13-0.0336%23 Mar
dust213–50.0524%23 Mar
anubis13–100.0731%22 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →