duckman

duckman — CS2 Stats

76561198069033185[U:1:108767457]Steam profile ↗✓ No bans

1,775Tracked matches47%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
FaceitLevel 10 · 2,290 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGduckmanFACEITLevel 10 · 2,290 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning57
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateLLWWLWWLLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.0
Aggression5.3
Utility5.8
Positioning5.7
Opening Duels1.0
Clutch3.8

Strong CT-side opener

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 46% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim7.0
Positioning5.7
Utility5.8
Mechanics6.0
Opening Duels2.0
Win Impact3.9

Composite 5.6/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time581ms−34ms
first ⅓ avg 616ms → last ⅓ avg 581ms
Headshot accuracy18.8%−3.2%
first ⅓ avg 22.0% → last ⅓ avg 18.8%

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

0.13Best rating — anubis 13–5
130Biggest win — inferno
7Longest win streak
L2Current streak
612In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA2213959%0.02
anubisC1981142%0.01
mirageD123925%0.00
cacheS118373%0.01
dust2D93633%0.01
nukeB84450%0.02
infernoC83538%0.00
overpassS54180%0.05
vertigo32167%0.01
train31233%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,381Matches
52%Win rate
1.16Avg K/D
78.3ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient11655%1.1515.9
Mirage11149%1.1015.2
Anubis9142%1.1717.1
Inferno8153%1.1815.3
Dust26448%1.1215.0
Vertigo2868%1.2616.9
Overpass2467%1.2416.9
Nuke1547%1.1315.5

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.

19.1%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.1%Spray accuracy
77.2%Counter-strafing
9.2°Preaim
581msReaction time
22.1%T opening success
46.0%CT opening success
0.49Enemies flashed / flash
10.7%Flash assists
6.33HE damage / grenade
15.86Flashes / 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 0.4909 — 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 22.1117% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0626%27 Aug
ancient5–13-0.0218%21 Aug
nuke13–10-0.0221%20 Aug
cache13–10-0.0420%20 Aug
anubis11–13-0.0227%19 Aug
cache13–110.0818%14 Aug
ancient13–90.0415%12 Aug
dust210–13-0.0327%11 Aug
anubis14–16-0.0221%7 Aug
cache13–11-0.0117%3 Aug
cache13–4-0.0216%2 Aug
ancient13–100.0115%2 Aug
mirage2–13-0.0613%2 Aug
anubis20–220.0519%2 Aug
dust29–130.0417%1 Aug
dust24–13-0.0622%1 Aug
dust27–130.0525%30 Jul
nuke13–20.0813%30 Jul
mirage13–50.0632%30 Jul
ancient16–120.0118%29 Jul
ancient13–7-0.0315%24 Jul
ancient13–40.0820%18 Jul
cache11–130.018%18 Jul
ancient13–9-0.0419%17 Jul
anubis11–13-0.0122%17 Jul
anubis13–60.0326%17 Jul
anubis7–13-0.0416%17 Jul
inferno3–130.0417%15 Jul
cache10–130.0216%11 Jul
mirage10–13-0.0017%2 Jul
mirage11–13-0.024%20 Jun
inferno13–90.0822%20 Jun
anubis14–160.0921%20 Jun
ancient7–13-0.0218%17 Jun
ancient8–130.0921%12 Jun
ancient13–90.0115%7 Jun
inferno4–13-0.0313%7 Jun
anubis13–160.0419%7 Jun
dust25–130.0122%4 Jun
inferno13–00.000%29 May
ancient13–100.0420%28 May
mirage6–130.0321%28 May
vertigo10–13-0.0120%25 May
anubis13–100.0617%25 May
mirage9–13-0.0423%22 May
nuke9–130.0212%22 May
ancient10–13-0.0322%22 May
train8–13-0.0124%21 May
anubis13–40.0615%21 May
anubis7–13-0.0814%20 May
ancient6–130.0118%20 May
anubis9–13-0.0625%15 May
overpass13–110.0020%8 May
cache13–90.0113%8 May
cache13–50.0317%1 May
cache13–70.0940%1 May
anubis11–13-0.0414%1 May
cache11–13-0.0615%29 Apr
anubis13–50.1316%29 Apr
cache13–50.0130%28 Apr
inferno16–140.0122%24 Apr
ancient13–40.049%18 Apr
anubis13–8-0.0214%18 Apr
vertigo13–8-0.0413%18 Apr
anubis16–130.0714%18 Apr
ancient11–13-0.0215%16 Apr
mirage15–15-0.0221%16 Apr
overpass16–140.0316%8 Apr
inferno11–13-0.0318%3 Apr
mirage12–12-0.0118%29 Mar
ancient13–100.0114%29 Mar
nuke0–10-0.0819%29 Mar
vertigo8–10.0647%29 Mar
mirage12–12-0.0412%27 Mar
ancient7–13-0.0020%27 Mar
train12–120.0113%27 Mar
overpass13–110.0617%26 Mar
ancient13–40.0520%26 Mar
mirage13–60.0926%26 Mar
ancient13–40.0926%25 Mar
dust213–100.0428%25 Mar
nuke13–60.0519%25 Mar
ancient13–6-0.0022%19 Mar
inferno12–12-0.0124%19 Mar
nuke13–10.1023%19 Mar
anubis13–30.0731%13 Mar
dust213–70.0724%13 Mar
anubis8–13-0.0615%13 Mar
overpass13–60.0328%12 Mar
ancient9–130.0526%12 Mar
nuke10–13-0.0324%11 Mar
overpass9–130.1016%11 Mar
inferno3–13-0.0232%20 Feb
ancient14–160.0323%18 Feb
mirage13–7-0.0119%18 Feb
train13–20.0522%16 Feb
dust213–8-0.0118%14 Feb
dust29–13-0.0325%14 Feb
anubis13–8-0.0219%13 Feb
nuke10–13-0.0026%12 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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