Quacker

Quacker — CS2 Stats

AU76561198025425856[U:1:65160128]Steam profile ↗

1,072Tracked matches53%Win rate2020Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
FaceitLevel 5 · 1,004 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGQuackerFACEITLevel 5 · 1,004 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44515Last 10044%Win rateLLLLWWWWLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.2
Aggression7.7
Utility4.9
Positioning5.2
Opening Duels3.8
Clutch2.6

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, 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 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.2
Positioning5.2
Utility4.9
Mechanics5.3
Opening Duels3.8
Win Impact6.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time610ms+6ms
first ⅓ avg 603ms → last ⅓ avg 610ms
Headshot accuracy14.2%+0.7%
first ⅓ avg 13.5% → last ⅓ avg 14.2%

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.

Highlights

0.14Best rating — ancient 13–4
131Biggest win — mirage
4Longest win streak
L4Current streak
711In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 53% over 15anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C32122038%-0.02
mirageB23111248%0.01
ancientB158753%0.02
cacheB84450%0.02
nukeB84450%0.01
infernoB84450%0.03
anubisD61517%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

148Matches
46%Win rate
1.03Avg K/D
92.3ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
32%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1947%0.9916.5
Dust21070%1.2518.1
Ancient757%1.3317.9
Inferno30%0.7012.3
Overpass10%1.0617.0
Cache1100%0.7717.0
Anubis10%1.0912.0

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.

14.7%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.5%Spray accuracy
73.6%Counter-strafing
9.1°Preaim
611msReaction time
36.1%T opening success
54.0%CT opening success
0.67Enemies flashed / flash
4.1%Flash assists
6.37HE damage / grenade
11.87Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7168% — below the 15% mark we flag

    Aim Training
  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 36.0528% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0725%21 Aug
anubis3–11-0.0212%21 Aug
dust27–130.0220%11 Aug
anubis8–130.0213%9 Aug
cache16–14-0.0316%7 Aug
ancient13–40.089%7 Aug
mirage13–80.0614%1 Aug
dust213–50.0515%24 Jul
dust20–7-0.070%23 Jul
nuke4–130.0120%22 Jul
ancient11–130.0515%22 Jul
inferno13–90.0918%21 Jul
ancient13–60.0311%21 Jul
dust213–5-0.0112%21 Jul
dust213–50.0219%21 Jul
dust213–16-0.0522%19 Jul
cache13–7-0.037%19 Jul
ancient13–10-0.0014%19 Jul
ancient11–13-0.0713%16 Jul
mirage13–60.1418%16 Jul
dust28–13-0.0519%5 Jul
dust213–11-0.0222%5 Jul
mirage13–50.0214%5 Jul
mirage13–60.0412%3 Jul
nuke10–130.008%3 Jul
ancient13–70.037%3 Jul
mirage1–130.0014%3 Jul
anubis7–130.028%1 Jul
mirage8–130.0815%1 Jul
dust213–80.0013%1 Jul
dust213–50.0111%30 Jun
mirage8–130.0320%30 Jun
inferno14–160.0615%29 Jun
mirage5–13-0.0516%27 Jun
mirage13–8-0.0114%27 Jun
mirage13–10.0511%27 Jun
nuke13–80.0215%26 Jun
ancient9–130.0213%24 Jun
dust24–13-0.0413%24 Jun
ancient6–130.0313%24 Jun
ancient2–13-0.0420%24 Jun
anubis11–13-0.0213%24 Jun
inferno11–130.0517%23 Jun
mirage13–7-0.0118%13 Jun
dust25–13-0.0117%13 Jun
nuke1–13-0.0220%12 Jun
mirage13–50.0316%12 Jun
dust26–130.0112%12 Jun
inferno15–150.0415%12 Jun
dust213–100.0214%12 Jun
dust27–13-0.0522%8 Jun
mirage13–11-0.0210%8 Jun
mirage14–160.027%6 Jun
dust27–13-0.0113%6 Jun
dust24–13-0.0711%5 Jun
dust211–13-0.0112%5 Jun
mirage7–13-0.0815%4 Jun
ancient13–90.0418%2 Jun
nuke9–13-0.0116%2 Jun
dust213–10-0.0524%31 May
ancient6–13-0.0318%31 May
nuke16–120.0116%30 May
mirage1–130.0731%30 May
ancient9–13-0.0116%13 May
inferno13–70.0321%13 May
dust23–13-0.053%13 May
cache12–120.0732%4 May
mirage10–130.0118%4 May
cache13–80.0611%4 May
cache3–130.0114%4 May
anubis10–130.0011%3 May
ancient13–70.009%3 May
mirage11–13-0.0213%2 May
dust213–40.0115%2 May
dust215–15-0.0111%2 May
nuke16–130.049%1 May
dust29–13-0.0414%30 Apr
cache12–120.0321%30 Apr
cache11–130.019%30 Apr
cache13–60.0211%30 Apr
dust213–7-0.038%26 Apr
inferno13–80.057%26 Apr
nuke13–11-0.0014%26 Apr
dust25–13-0.0819%24 Apr
mirage3–13-0.046%24 Apr
dust27–13-0.0710%24 Apr
inferno16–130.0312%24 Apr
dust215–150.0318%19 Apr
anubis13–11-0.018%19 Apr
mirage13–110.0315%19 Apr
ancient13–40.1412%19 Apr
mirage13–11-0.0617%19 Apr
dust28–13-0.0613%19 Apr
ancient13–7-0.0414%16 Apr
dust26–130.0233%16 Apr
dust213–80.0312%16 Apr
mirage11–13-0.0421%16 Apr
dust213–90.0612%16 Apr
inferno9–13-0.079%16 Apr
dust26–13-0.0719%14 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →