Ducks in my pool

Ducks in my pool — CS2 Stats

76561198202166928[U:1:241901200]Steam profile ↗✓ No bans

542Tracked matches38%Win rate2020Tracked since
CSDB Rating6.7 SolidAggressive Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGDucks in my poolFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning69
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51418Last 10051%Win rateLWWWLTTLWL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression10.0
Utility6.4
Positioning6.9
Opening Duels5.9

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 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 589ms 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

Aim8.1
Positioning6.9
Utility6.4
Mechanics8.1
Opening Duels5.9
Win Impact1.2

Composite 6.7/10 (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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time600ms−25ms
first ⅓ avg 625ms → last ⅓ avg 600ms
Headshot accuracy21.3%−0.8%
first ⅓ avg 22.1% → last ⅓ avg 21.3%

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

0.16Best rating — ancient 13–4
132Biggest win — nuke
6Longest win streak
81In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 88% over 8nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC2181338%0.02
mirageA1710759%0.01
infernoB115645%0.03
nukeD113827%0.02
dust2S87188%0.01
trainB84450%0.02
ancientS64267%0.05
vertigoA53260%0.02
anubisC52340%-0.02
overpassA53260%0.05
shelter110100%0.06
fachwerk1010%0.04
boulder110100%0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

5Matches
40%Win rate
0.82Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

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.

21.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
43.7%Spray accuracy
86.4%Counter-strafing
11.1°Preaim
589msReaction time
47.9%T opening success
59.1%CT opening success
0.51Enemies flashed / flash
6.1%Flash assists
10.92HE damage / grenade
13.56Flashes / match

Recommended for you

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0430%30 Aug
cache13–70.1129%30 Aug
vertigo13–80.1133%30 Aug
inferno13–90.0430%29 Aug
ancient7–13-0.0519%29 Aug
dust212–12-0.0225%29 Aug
nuke12–120.1522%29 Aug
cache9–13-0.0214%6 Aug
shelter13–110.0619%11 Jul
fachwerk5–90.049%11 Jul
boulder13–80.0723%11 Jul
mirage5–13-0.0522%22 Jun
cache10–130.0717%22 Jun
anubis7–130.0011%22 Jun
train4–13-0.0124%20 Jun
inferno3–130.0122%20 Jun
anubis7–13-0.0613%20 Jun
mirage13–80.0221%20 Jun
cache2–3-0.1915%20 Jun
mirage13–70.0524%19 Jun
nuke4–13-0.0314%19 Jun
nuke9–130.0612%17 Jun
cache7–130.0231%17 Jun
inferno10–130.0621%17 Jun
vertigo1–130.0121%17 Jun
train13–60.0333%11 Jun
vertigo13–9-0.0220%9 Jun
mirage12–120.0129%8 Jun
inferno12–120.0316%7 Jun
anubis13–110.0227%7 Jun
ancient13–80.0913%7 Jun
nuke13–20.0518%7 Jun
mirage13–9-0.0226%7 Jun
cache9–13-0.1015%6 Jun
mirage8–130.0016%6 Jun
train0–6-0.0320%6 Jun
inferno5–13-0.0211%6 Jun
cache6–130.0318%6 Jun
overpass13–30.0814%6 Jun
train2–13-0.0622%29 May
nuke6–13-0.0126%29 May
vertigo13–70.0416%7 May
mirage12–12-0.0217%6 May
dust213–110.0423%5 May
cache13–40.0417%3 May
cache7–130.0632%2 May
cache8–13-0.0422%2 May
cache13–100.0620%2 May
mirage13–9-0.0114%1 May
cache12–120.0315%30 Apr
inferno13–40.0411%30 Apr
vertigo6–13-0.0610%30 Apr
cache10–10.0723%30 Apr
nuke13–8-0.0213%29 Apr
cache13–80.0237%29 Apr
ancient9–130.0112%29 Apr
train13–6-0.0115%29 Apr
cache3–13-0.0322%29 Apr
inferno9–60.1327%29 Apr
cache13–70.1024%29 Apr
cache13–70.1017%29 Apr
cache13–70.0222%29 Apr
cache12–120.0925%29 Apr
cache9–130.0221%28 Apr
cache4–13-0.0310%28 Apr
overpass13–110.0425%28 Apr
dust213–70.0613%28 Apr
mirage13–11-0.0121%28 Apr
overpass8–13-0.0321%28 Apr
ancient13–100.0121%27 Apr
inferno10–13-0.0319%26 Apr
train13–40.1430%26 Apr
anubis6–13-0.0813%23 Apr
train13–70.0720%22 Apr
mirage13–90.1321%22 Apr
nuke6–130.1119%22 Apr
train10–130.0529%22 Apr
dust213–11-0.0613%21 Apr
mirage7–13-0.0320%21 Apr
nuke3–13-0.0429%19 Apr
mirage6–130.0326%19 Apr
mirage13–110.0419%19 Apr
mirage13–30.0232%18 Apr
anubis13–60.0034%18 Apr
dust213–100.0522%18 Apr
overpass12–120.1123%17 Apr
inferno13–40.1021%17 Apr
ancient13–60.1029%17 Apr
dust213–60.0726%17 Apr
dust213–7-0.0222%3 Apr
inferno13–70.0111%3 Apr
inferno9–13-0.0024%3 Apr
nuke5–13-0.0712%20 Mar
nuke7–13-0.0329%18 Mar
mirage13–5-0.0522%18 Mar
mirage13–50.0629%12 Mar
overpass13–40.0321%12 Mar
dust213–9-0.0411%12 Mar
ancient13–40.1620%5 Mar
nuke13–110.0119%5 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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